accepted papers
Applied Research Papers
| 59 | A Stochastic Online Forecast-and-Optimize Framework for Real-Time Energy Dispatch in Virtual Power Plants under Uncertainty | Wei Jiang, Zhongkai Yi, Fangquan Lin, Hanwei Zhang and Cheng Yang |
| 207 | An Efficient Content-based Time Series Retrieval System | Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Junpeng Wang, Vivian Lai, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang and Jeff Phillips |
| 235 | SPM: Structured Pretraining and Matching Architectures for Relevance Modeling in Meituan Search | Wen Zan, Yaopeng Han, Xiaotian Jiang, Yao Xiao,
Yang Yang, Dayao Chen, Sheng Chen |
| 243 | Multitask Ranking System for Immersive Feed and No More Clicks: A Case Study of Short-Form Video Recommendation | Qingyun Liu, Zhe Zhao, Liang Liu, Zhen Zhang, Junjie Shan, Yuening Li, Shuchao Bi, Lichan Hong and Ed Chi |
| 253 | Unsupervised Multi-Modal Representation Learning for High Quality Retrieval of Similar Products at E-commerce Scale | Kushal Kumar, Tarik Arici, Tal Neiman, Jinyu Yang, Shioulin Sam, Yi Xu, Hakan Ferhatosmanoglu and Ismail Tutar |
| 266 | An Unified Search and Recommendation Foundation Model for Cold-Start Scenario | Xichen Ding, Yuqi Gong, Yehui Su, Kaiming Shen, Zhongyi Liu and Guannan Zhang |
| 267 | Practice on Effectively Extracting NLP Features for Click-Through Rate Prediction | Hao Yang, Ziliang Wang, Weijie Bian, Zhefeng Sun and Yifan Zeng |
| 279 | Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data | Zhichao Chen, Leilei Ding, Hao Wang, Zhixuan Chu, Yucheng Qi and Jianmin Huang |
| 302 | Voucher Abuse Detection with Prompt-based Fine-tuning on Graph Neural Networks | Zhihao Wen, Yuan Fang, Yihan Liu, Yang Guo and Shuji Hao |
| 314 | Graph Learning for Exploratory Query Suggestions in an Instant Search System | Enrico Palumbo, Andreas Damianou, Alice Wang, Alva Liu, Ghazal Fazelnia, Francesco Fabbri, Rui Ferreira, Fabrizio Silvestri, Hugues Bouchard, Claudia Hauff, Mounia Lalmas, Ben Carterette, Praveen Chandar and David Nyhan |
| 320 | Enhancing E-commerce Product Search through Reinforcement Learning-Powered Query Reformulation | Sanjay Agrawal, Srujana Merugu and Vivek Sembium |
| 334 | DoRA: Domain-Based Self-Supervised Learning Framework for Low-Resource Real Estate Appraisal | Wei-Wei Du, Wei-Yao Wang and Wen-Chih Peng |
| 345 | Graph Exploration Matters: Improving both individual-level and system-level diversity in WeChat Feed Recommendation | Shuai Yang, Lixin Zhang, Feng Xia and Leyu Lin |
| 376 | Learning To Rank Diversely At Airbnb | Malay Haldar, Mustafa Abdool, Liwei He, Dillon Davis, Huij Gao and Sanjeev Katariya |
| 377 | Generating Optimized Molecules without Patent Infringement | Sally Turutov and Kira Radinsky |
| 392 | Dynamic Group Parameter Modeling for Click-Through-Rate Prediction | Xuan Ma, Jian Wang, Zhiyuan Chen, Zehua Zhang, Jie He, Changping Peng, Zhangang Lin and Jingping Shao |
| 400 | A Hierarchical Imitation Learning-based Decision Framework for Autonomous Driving | Hebin Liang, Zibin Dong, Yi Ma, Xiaotian Hao, Yan Zheng and Jianye Hao |
| 419 | Leveraging Watch-time Feedback for Short-Video Recommendations: A Causal Labeling Framework | Yang Zhang, Yimeng Bai, Jianxin Chang, Xiaoxue Zang, Song Lu, Jing Lu, Fuli Feng, Yanan Niu and Yang Song |
| 487 | Logistics Audience Expansion via Temporal Knowledge Graph | Hua Yan, Yingqiang Ge, Haotian Wang, Desheng Zhang and Yu Yang |
| 490 | pADR: Towards Personalized Adverse Drug Reaction Prediction by Modeling Multi-sourced Data | Junyu Luo, Cheng Qian, Xiaochen Wang, Lucas Glass and Fenglong Ma |
| 497 | Robust User Behavioral Sequence Representation via Multi-scale Stochastic Distribution Prediction | Chilin Fu, Weichang Wu, Xiaolu Zhang, Jun Hu, Jing Wang and Jun Zhou |
| 509 | Climate Intervention Analysis using AI Model Guided by Statistical Physics Principles | Sookyung Kim, Kalai Ramea, Salva Rühling Cachay, Haruki Hirasawa, Subhashis Hazarika, Dipti Hingmire, Peetak Mitra, Philip J. Rasch and Hansi Singh |
| 511 | 3MN: Three Meta Networks for Multi-Scenario and Multi-Task Learning in Online Advertising Recommender Systems | Yifei Zhang, Hua Hua, Hui Guo, Shuangyang Wang, Chongyu Zhong and Shijie Zhang |
| 556 | SHARK: A Lightweight Model Compression Approach for Large-scale Recommender Systems | Beichuan Zhang, Chenggen Sun, Jianchao Tan, Xinjun Cai, Jun Zhao, Mengqi Miao, Kang Yin, Chengru Song, Na Mou and Yang Song |
| 563 | Popularity-aware Distributionally Robust Optimization for Recommendation System | Jujia Zhao, Wenjie Wang, Xinyu Lin, Leigang Qu, Jizhi Zhang and Tat-Seng Chua |
| 604 | BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Search and Recommendation Models on Commodity CPU Hardware | Vihan Lakshman, Nicholas Meisburger, Benito Geordie, David Torres Ramos, Joshua Engels, Pratik Pranav, Benjamin Coleman, Benjamin Meisburger, Shubh Gupta, Yashwanth Adunukota, Tharun Medini and Anshumali Shrivastava |
| 617 | FAF: A Risk Detection Framework on Industry-Scale Graphs | Yice Luo, Guannan Wang, Yongchao Liu, Jiaxin Yue, Weihong Cheng and Binjie Fei |
| 621 | Towards Understanding of Deepfake Videos in the Wild | Beomsang Cho, Binh M. Le, Jiwon Kim, Simon Woo, Kristen Moore, Shahroz Tariq and Alsharif Abuadbba |
| 646 | Beyond Semantics: Learning a Behavior Augmented Relevance Model with Self-supervised Learning | Zeyuan Chen, Wei Chen, Jia Xu, Zhongyi Liu and Wei Zhang |
| 683 | Urban-scale POI Updating with Crowd Intelligence | Zhiqing Hong, Haotian Wang, Wenjun Lyu, Hai Wang, Yunhuai Liu, Guang Wang, Tian He and Desheng Zhang |
| 691 | AutoBuild: Automatic Community Building Labeling for Last-mile Delivery | Zhiqing Hong, Dongjiang Cao, Haotian Wang, Guang Wang, Tian He and Desheng Zhang |
| 737 | Nowcast-to-Forecast: Token-Based Multiple Remote Sensing Data Fusion for Precipitation Forecast | Sojung An |
| 747 | Combating ad fatigue via frequency-recency features in online advertising systems | Natalia Silberstein, Or Shoham and Assaf Klein |
| 809 | TrendSpotter: Forecasting E-commerce Product Trends | Gayatri Ryali, Shreyas S, Sivaramakrishnan Kaveri and Prakash Mandayam Comar |
| 865 | LittleMu: Deploying an Online Virtual Teaching Assistant via Heterogeneous Sources Integration and Chain of Teach Prompts | Shangqing Tu, Zheyuan Zhang, Jifan Yu, Chunyang Li, Siyu Zhang, Zijun Yao, Lei Hou and Juanzi Li |
| 949 | PS-SA: An Efficient Self-Attention via Progressive Sampling for User Behavior Sequence Modeling | Jiacen Hu, Zhangming Chan, Yu Zhang, Shuguang Han, Siyuan Lou, Baolin Liu, Han Zhu, Yuning Jiang, Jian Xu and Bo Zheng |
| 950 | An Incremental Update Framework for Online Recommenders with Data-Driven Prior | Chen Yang, Jin Chen, Xiangdong Wu, Qian Yu, Kui Ma, Zihao Zhao, Zhiwei Fang, Wenlong Chen, Chaosheng Fan, Jie He, Changping Peng, Zhangang Lin and Jingping Shao |
| 952 | Masked Multi-Domain Network: Multi-Type and Multi-Scenario Conversion Rate Prediction with a Single Model | Wentao Ouyang, Xiuwu Zhang, Chaofeng Guo, Shukui Ren, Yupei Sui, Kun Zhang, Jinmei Luo, Yunfeng Chen, Dongbo Xu, Xiangzheng Liu and Yanlong Du |
| 963 | DeepSTA: A Spatial-Temporal Attention Network for Logistics Delivery Timely Rate Prediction in Anomaly Conditions | Jinhui Yi, Huan Yan, Haotian Wang, Jian Yuan and Yong Li |
| 964 | MEBS: Multi-task End-to-end Bid Shading for Multi-slot Display Advertising | Zhen Gong, Lvyin Niu, Yang Zhao, Miao Xu, Zhenzhe Zheng, Haoqi Zhang, Zhilin Zhang, Fan Wu, Rongquan Bai, Chuan Yu, Jian Xu and Bo Zheng |
| 979 | Continual Learning in Predictive Autoscaling | Hongyan Hao, Zhixuan Chu, Shiyi Zhu, Gangwei Jiang, Yan Wang, Caigao Jiang, James Zhang, Wei Jiang, Siqiao Xue and Jun Zhou |
| 1076 | Dual Interests-Aligned Graph Auto-Encoders for Cross-domain Recommendation in WeChat | Jiawei Zheng, Hao Gu, Lingling Yi, Chonggang Song, Chuan Chen and Dandan Lin |
| 1107 | CallMine: Fraud Detection and Visualization of Million-Scale Call Graphs | Mirela Teixeira Cazzolato, Saranya Vijayakumar, Meng-Chieh Lee, Catalina Vajiac, Namyong Park, Pedro Fidalgo, Agma Juci Machado Traina and Christos Faloutsos |
| 1130 | RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation | Ning Wu, Ming Gong, Linjun Shou, Jian Pei and Daxin Jiang |
| 1152 | Multi-gate Mixture-of-Contrastive-Experts with Graph-based Gating Mechanism for TV Recommendation | Cong Zhang, Dongyang Liu, Lin Zuo, Junlan Feng, Chao Deng, Jian Sun, Haitao Zeng and Yaohong Zhao |
| 1166 | Fragment and Integrate Network (FIN): A Novel Spatial-Temporal Modeling Based on Long Sequential Behavior for Online Food Ordering Click-Through Rate Prediction | Jun Li and Ge Zhang |
| 1201 | DeepTagger: Knowledge Enhanced Named Entity Recognition for Web-Based Ads Queries | Simiao Zuo, Pengfei Tang, Xinyu Hu, Qiang Lou, Jian Jiao and Denis Charles |
| 1202 | Unified Generative & Dense Retrieval for Query Rewriting in Sponsored Search | Akash Kumar Mohankumar, Bhargav Dodla, Gururaj K and Amit Singh |
| 1220 | Content-based email classification at scale | Kirstin Early, Neil O'Hare and Chris Luvogt |
| 1252 | MArBLE: Hierarchical Multi-Armed Bandit for Human-in-the-Loop Set Expansion | Muntasir Wahed, Daniel Gruhl and Ismini Lourentzou |
| 1261 | STREAMS: Towards Spatio-Temporal Causal Discovery with Reinforcement Learning for Streamflow Rate Prediction | Paras Sheth, Ahmadreza Mosallanezhad, Kaize Ding, Reepal Shah, John Sabo, Huan Liu and K. Selçuk Candan |
| 1394 | Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance | Aijun Bai, Rolf Jagerman, Zhen Qin, Le Yan, Pratyush Kar, Bing-Rong Lin, Xuanhui Wang, Michael Bendersky and Marc Najork |
| 1491 | Detecting Social Bot on the Fly using Contrastive Learning | Ming Zhou, Dan Zhang, Yuandong Wang, Yangli-Ao Geng and Jie Tang |
| 1503 | GraphFC: Customs Fraud Detection with Label Scarcity | Karandeep Singh, Yu-Che Tsai, Cheng-Te Li, Meeyoung Cha and Shou-De Lin |
| 1512 | Addressing Selection Bias in Computerized Adaptive Testing: A User-Wise Aggregate Influence Function Approach | Soonwoo Kwon, Sojung Kim, Seunghyun Lee, Jinyoung Kim, Suyeong An and Kyuseok Kim |
| 1523 | Predicting Interaction Quality of Conversational Assistants With Spoken Language Understanding Model Confidences | Monir Moniruzzaman, Yue Gao, Enrico Piovano, Tamer Soliman, Subhrangshu Nandi, Anoop Kumar and Melanie Bradford |
| 1566 | DFFM: Domain Facilitated Feature Modeling for CTR Prediction | Wei Guo, Chenxu Zhu, Fan Yan, Bo Chen, Weiwen Liu, Huifeng Guo, Hongkun Zheng, Yong Liu and Ruiming Tang |
| 1639 | Generating Product Insights from Community Q&A | Lital Kuchy, Ran Levy, Avihai Mejer, Noam Segev, Shunit Agmon and Miriam Farber |
| 1656 | Exploiting Sequential Music Preferences via Optimisation-Based Sequencing | Dmitrii Moor, Yi Yuan, Rishabh Mehrotra, Zhenwen Dai and Mounia Lalmas |
| 1662 | Entire Space Cascade Delayed Feedback Modeling for Effective Conversion Rate Prediction | Yunfeng Zhao, Xu Yan, Xiaoqiang Gui, Shuguang Han, Xiang-Rong Sheng, Guoxian Yu, Jufeng Chen, Zhao Xu and Bo Zheng |
| 1704 | Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao | Jingyue Gao, Shuguang Han, Han Zhu, Siran Yang, Yuning Jiang, Jian Xu and Bo Zheng |
| 1764 | COPR: Consistency-Oriented Pre-Ranking for Online Advertising | Zhishan Zhao, Jingyue Gao, Yu Zhang, Shuguang Han, Siyuan Lou, Xiangrong Sheng, Zhe Wang, Han Zhu, Yuning Jiang, Jian Xu and Bo Zheng |
| 1849 | Learning and Optimization of Implicit Negative Feedback for Industrial Short-video Recommender System | Yunzhu Pan, Nian Li, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Depeng Jin and Yong Li |
| 1854 | Deep Query Rewriting For Geocoding | Pravakar Roy, Chirag Sharma, Chao Gao and Kumarswamy Valegerepura |
| 1858 | Build Faster with Less: A Journey to Accelerate Sparse Model Building for Semantic Matching in Product Search | Jiong Zhang, Yau-Shian Wang, Wei-Cheng Chang, Wei Li, Jyun-Yu Jiang, Cho-Jui Hsieh and Hsiang-Fu Yu |
| 1962 | Retention is All You Need | Karishma Mohiuddin, Mirza Ariful Alam, Mirza Mohtashim Alam, Pascal Welke, Michael Martin, Jens Lehmann and Sahar Vahdati |
| 1987 | The Price is Right: Removing A/B Test Bias in a Marketplace of Expirable Goods | Thu Le and Alex Deng |
| 2003 | Continually-Adaptive Representation Learning Framework for Time-Sensitive Healthcare Applications | Akash Choudhuri, Hankyu Jang, Alberto M. Segre, Philip M. Polgreen, Kishlay Jha and Bijaya Adhikari |
| 2054 | Optimal Real-Time Bidding Strategy for Position Auctions in Online Advertising | Weitong Ou, Bo Chen, Weiwen Liu, Xinyi Dai, Weinan Zhang, Wei Xia, Xuan Li, Ruiming Tang and Yong Yu |
| 2103 | Enhancing Catalog Relationship Problems with Heterogeneous Graphs and Graph Neural Networks Distillation | Boxin Du, Rob Barton, Grant Galloway, Junzhou Huang, Shioulin Sam, Ismail Tutar and Changhe Yuan |
| 2122 | Enhancing Dynamic On-demand Food Order Dispatching via Future-informed and Spatial-temporal Extended Decisions | Yile Liang, Donghui Li, Jiuxia Zhao, Xuetao Ding, Huanjia Lian, Jinghua Hao and Renqing He |
| 2189 | GBTTE: Graph Attention Network Based Bus Travel Time Estimation | Rong Yuecheng, Yao Juntao, Liu Jun, Fang Yifan, Luo Wei, Liu Hao, Ma Jie, Dan Zepeng, Lin Jinzhu, Wu Zhi, Zhang Yan and Zhang Chuanming |
| 2234 | PRODIGY: Product Design Guidance at Scale | Sambeet Tiady, Anirban Majumder and Deepak Gupta |
Demo Papers
| 2355 | DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research | Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Kwei-Herng Lai, Daochen Zha, Ruixiang Tang, Fan Yang, Alfredo Costilla Reyes, Kaixiong Zhou, Xiaoqian Jiang and Xia Ben Hu |
| 2402 | An AI-based Simulation and Optimization Framework for Logistic Systems | Zefang Zong, Huan Yan, Hongjie Sui, Haoxiang Li, Peiqi Jiang and Yong Li |
| 2442 | gFOV: A Full-Stack SPARQL Query Optimizer & Plan Visualizer | Yue Pang, Linglin Yang, Lei Zou and Tamer Özsu |
| 2451 | HugNLP: A Unified and Comprehensive Library for Natural Language Processing | Jianing Wang, Nuo Chen, Qiushi Sun, Wenkang Huang, Chengyu Wang and Ming Gao |
| 2452 | SNAKE challenge: Sanitization algorithms under attack | Tristan Allard, Louis Béziaud and Sebastien Gambs |
| 2479 | Contrastive Keyword Extraction from Versioned Documents | Lukas Eder, Ricardo Campos and Adam Jatowt |
| 2485 | Learning What to Ask: Mining Product Attributes for E-commerce Sales from Massive Dialogue Corpora | Yan Fan, Chengyu Wang, Fan Feng, Hengbin Cui, Yuchuan Wu and Yongbin Li |
| 2500 | LARCH: Large Language Model-based Automatic Readme Creation with Heuristics | Yuta Koreeda, Terufumi Morishita, Osamu Imaichi and Yasuhiro Sogawa |
| 2509 | NumJoin: Discovering Numeric Joinable Tables with Semantically Related Columns | Pranav Subramaniam, Udayan Khurana, Kavitha Srinivas and Horst Samulowitz |
| 2514 | NP-SSL: A Modular and Extensible Self-supervised Learning Library with Neural Processes | Zesheng Ye, Jing Du, Yao Liu, Yihong Zhang and Lina Yao |
| 2531 | DataDoc Analyzer: A tool for analyzing the documentation of scientific datasets | Joan Giner Miguelez, Abel Gómez and Jordi Cabot |
| 2533 | A Data-Driven Index Recommendation System for Slow Queries | Gan Peng, Peng Cai and Kaikai Ye |
| 2534 | STREAMER 3.0: Towards Online Monitoring and Distributed Learning | Sandra Garcia Rodriguez, Baudouin Naline and Karine Zeitouni |
| 2546 | The µ-RA system for recursive path queries over graphs | Amela Fejza, Pierre Geneves, Nabil Layaida and Sarah Chlyah |
| 2547 | SEDAR: A Semantic Data Reservoir for Heterogeneous Datasets | Sayed Hoseini, Ahmed Ali, Haron Shaker and Christoph Quix |
| 2548 | MORPHER: Structural Transformation of ill-formed Rows | Mazhar Hameed, Gerardo Vitagliano and Felix Naumann |
| 2558 | Misinformation Concierge: A Proof-of-Concept with Curated Twitter Dataset on COVID-19 Vaccination | Shakshi Sharma, Anwitaman Datta, Vigneshwaran Shankaran and Rajesh Sharma |
| 2559 | AQUAPLANE: The Argument Quality Explainer App | Sebastian Britner, Lorik Dumani and Ralf Schenkel |
| 2580 | ParkFlow: Intelligent Dispersal for Mitigating Parking Shortages Using Multi-Granular Spatial-Temporal Analysis | Yang Fan Chiang, Chun-Wei Shen, Jhe-Wei Tsai, Pei-Xuan Li, Tzu-Chang Lee and Hsun-Ping Hsieh |
| 2585 | EFFECTS: Explorable and Explainable Feature Extraction Framework for Multivariate Time-Series Classification | Ido Ikar and Amit Somech |
| 2588 | PyABSA: A Modularized Framework for Reproducible Aspect-based Sentiment Analysis | Heng Yang, Chen Zhang and Ke Li |
| 2590 | Cluster-Explorer: An interactive Framework for Explaining Black-Box Clustering Results | Sariel Tutay and Amit Somech |
| 2606 | MOSS: AI Platform for Discovery of Corrosion-Resistant Materials | Biao Yin, Nicholas Josselyn, Ziming Zhang, Elke Rundensteiner, Thomas Considine, John Kelley, Berend Rinderspacher, Robert Jensen and James Snyder |
| 2696 | Demonstration of ViTA: Visualizing, Testing and Analyzing Index Advisors | Wei Zhou, Chen Lin, Xuanhe Zhou, Guoliang Li and Tianqing Wang |
| 2848 | CRUISE-Screening: Living Literature Reviews Toolbox | Wojciech Kusa, Petr Knoth and Allan Hanbury |
| 3202 | IMinimize: A System for Negative Influence Minimization via Vertex Blocking | Siyi Teng, Jiadong Xie, Mingkai Zhang, Kai Wang and Fan Zhang |
Doctoral Consortium
| 3218 | Exploiting Homeostatic Synaptic Modulation in Spiking Neural Networks for Semi-Supervised Graph Learning | Mingkun Xu |
| 3247 | Enhancing Badminton Player Performance via a Closed-Loop AI Approach: Imitation, Simulation, Optimization, and Execution | Kuang-Da Wang |
| 3248 | Explaining Learning to Rank Methods to Improve Them | Alberto Veneri |
| 3249 | Intersectional Bias Mitigation in Pre-trained Language Models: A Quantum-Inspired Approach | Omid Shokrollahi |
| 3250 | Data And Decision Fusion With Uncertainty Quantification For ML-based Healthcare Decision Systems | Grigor Bezirganyan |
| 3251 | Towards Effective Modeling and Exploitation of Search and User Context in Conversational Information Retrieval | Praveen Acharya |
| 3252 | Towards Improving Accuracy and Computation Cost Optimization of Recommendation Systems | Abdelghani Azri |
| 3254 | Investigating Natural and Artificial Dynamics in Graph Data Mining and Machine Learning | Dongqi Fu |
| 3256 | A neuro-symbolic approach to enhance Interpretability of Graph neural network through the integration of external knowledge | Kislay Raj |
Industry Day
| 3221 | Application and Evaluation of Large Language Models for the Generation of Survey Questions | Antonio Maiorino, Zoe Padgett, Chun Wang, Misha Yakubovskiy and Peng Jiang |
| 3245 | Astrolabe: Visual Graph Database Queries with Tabular Output | Michael Miller |
| 3246 | Unleashing the Power of Large Language Models for Legal Applications | Dell Zhang, Alina Petrova, Dietrich Trautmann and Frank Schilder |
| 3257 | Comparative Analysis of Open Source and Commercial Embedding Models for Question Answering | Georgios Balikas |
| 3258 | Prod2Vec-Var: A Session Based Recommendation System with Enhanced Diversity | Hacer Turgut, Tan Doruk Yetki, Ömür Bali and Tayfun Arda Yücel |
| 3259 | LAMM: Language Aware Active Learning for Multilingual Models | Ze Ye, Dantong Liu, Kaushik Pavani and Sunny Dasgupta |
| 3260 | RT2S: A Framework for Learning with Noisy Labels | Indranil Bhattacharya, Ze Ye, Kaushik Pavani and Sunny Dasgupta |
| 3262 | Harnessing GPT for Topic-Based Call Segmentation in Microsoft Dynamics 365 Sales | Itzik Malkiel, Uri Alon, Yakir Yehdua, Shahar Keren, Oren Barkan, Royi Ronen and Noam Koenigstein |
| 3264 | Vigil: Effective end-to-end monitoring for large-scale recommender systems at Glance | Priyansh Saxena and Manisha R |
| 3265 | Comparing Fine-Tuned Transformers and Large Language Models for Sales Call Classification: A Case Study | Roy Eisenstadt, Abedelkader Asi and Royi Ronen |
| 3267 | Proactive and Automatic Detection of Product Misclassifications at Massive Scale | Ling Jiang, Xiaoyu Chu, Saaransh Gulati, Pulkit Garg, Andrew Borthwick and Gang Luo |
| 3268 | From User Activity Traces To Navigation Graph for software enhancement: An Application Of Graph Neural Network (GNN) On a Real-world Non-attributed Graph | Boukhraouba Ikram |
| 3269 | Practical Lessons Learned From Detecting, Preventing and Mitigating Harmful Experiences on Facebook | Prathyusha Senthil Kumar |
| 3270 | Type Theory as a Unifying Paradigm for Modern Databases | Christoph Dorn and Haikal Pribadi |
Full Papers
| 49 | Online Efficient Secure Logistic Regression based on Function Secret Sharing | Jing Liu, Jamie Cui and Cen Chen |
| 54 | Unsupervised Aspect Term Extraction by Integrating Sentence-level Curriculum Learning with Token-level Self-paced Learning | Jihong Ouyang, Zhiyao Yang, Chang Xuan, Bing Wang, Yiyuan Wang and Ximing Li |
| 89 | Timestamps as Prompts for Geography-Aware Location Recommendation | Yan Luo, Haoyi Duan, Ye Liu and Fu-Lai Chung |
| 100 | Improving Long-Tail Item Recommendation with Graph Augmentation | Sichun Luo, Chen Ma, Yuanzhang Xiao and Linqi Song |
| 110 | Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems | Guanglin Zhou, Chengkai Huang, Xiaocong Chen, Xiwei Xu, Chen Wang, Liming Zhu and Lina Yao |
| 113 | No Length Left Behind: Enhancing Knowledge Tracing for Modeling Sequences of Excessive or Insufficient Lengths | Moyu Zhang, Xinning Zhu, Chunhong Zhang, Feng Pan, Wenchen Qian and Hui Zhao |
| 121 | Highly-Optimized Forgetting for Creating Signature-Based Views of Ontologies | Yizheng Zhao |
| 124 | Class-Specific Word Sense Aware Topic Modeling via Soft Orthogonalized Topics | Wenbo Li, Yao Yang and Einoshin Suzuki |
| 131 | Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training | Ziwei Fan, Zhiwei Liu, Shelby Heinecke, Jianguo Zhang, Huan Wang, Caiming Xiong and Philip S. Yu |
| 132 | Bias Invariant Approaches for Improving Word Embedding Fairness | Siyu Liao, Ringting Zhang, Barbara Poblete and Vanessa Murdock |
| 138 | Text Matching Improves Sequential Recommendation by Reducing Popularity Biases | Zhenghao Liu, Sen Mei, Chenyan Xiong, Xiaohua Li, Shi Yu, Zhiyuan Liu, Yu Gu and Ge Yu |
| 141 | PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction | Zijian Zhang, Xiangyu Zhao, Qidong Liu, Chunxu Zhang, Qian Ma, Wanyu Wang, Hongwei Zhao, Yiqi Wang and Zitao Liu |
| 158 | Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction | Fangye Wang, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang and Ning Gu |
| 165 | Treatment Effect Estimation across Domains | Yi-Xuan Sun, Ya-Lin Zhang, Wei Wang, Longfei Li and Jun Zhou |
| 167 | KG4Ex: An Explainable Knowledge Graph-Based Approach for Exercise Recommendation | Quanlong Guan, Fang Xiao, Xinghe Cheng, Liangda Fang, Ziliang Chen, Guanliang Chen and Weiqi Luo |
| 168 | CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning | Qingtian Bian, Jiaxing Xu, Hui Fang and Yiping Ke |
| 174 | Incorporating Constituent Syntax into Grammatical Error Correction with Multi-Task Learning | Chen Chen, Bo He, Jing Yuan, Chunyan Hou and Xiaojie Yuan |
| 211 | RoCourseNet: Robust Training of a Prediction Aware Recourse Model | Hangzhi Guo, Feiran Jia, Jinghui Chen, Anna Squicciarini and Amulya Yadav |
| 212 | Attacking Neural Networks with Neural Networks: Towards Deep Synchronization for Backdoor Attacks | Zihan Guan, Lichao Sun, Mengnan Du and Ninghao Liu |
| 224 | Dual Intents Graph Modeling for User-centric Group Discovery | Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao and Jiawei Zhang |
| 263 | Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System | Bowei He, Xu He, Renrui Zhang, Yingxue Zhang, Ruiming Tang and Chen Ma |
| 265 | Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement | Chao Zhang, Fangzhao Wu, Jingwei Yi, Derong Xu, Yang Yu, Jindong Wang, Yidong Wang, Tong Xu, Xing Xie and Enhong Chen |
| 273 | Federated News Recommendation with Fine-grained Interpolation and Dynamic Clustering | Sanshi Lei Yu, Qi Liu, Fei Wang, Yang Yu and Enhong Chen |
| 310 | On the Thresholding Strategy for Infrequent Labels in Multi-label Classification | Yu-Jen Lin and Chih-Jen Lin |
| 323 | Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank | Jiarui Jin, Xianyu Chen, Weinan Zhang, Mengyue Yang, Yang Wang, Yali Du, Yong Yu and Jun Wang |
| 325 | FATA-Trans: Field and Time-Aware Transformer for Sequential Tabular Data | Dongyu Zhang, Liang Wang, Xin Dai, Shubham Jain, Junpeng Wang, Yujie Fan, Chin-Chia Michael Yeh, Yan Zheng, Zhongfang Zhuang and Wei Zhang |
| 336 | DAS-CL: Towards Multimodal Machine Translation via Dual-Level Asymmetric Contrastive Learning | Xuxin Cheng, Zhihong Zhu, Yaowei Li, Hongxiang Li and Yuexian Zou |
| 346 | HyperBandit: Contextual Bandit with Hypernewtork for Time-Varying User Preferences in Streaming Recommendation | Chenglei Shen, Xiao Zhang, Wei Wei and Jun Xu |
| 353 | A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER | Guanting Dong, Zechen Wang, Jinxu Zhao, Gang Zhao, Daichi Guo, Dayuan Fu, Tingfeng Hui, Chen Zeng, Keqing He, Xuefeng Li, Liwen Wang, Xinyue Cui and Weiran Xu |
| 354 | Selecting Walk Schemes for Database Embedding | Yuval Lubarsky, Jan Tönshof, Martin Grohe and Benny Kimelfeld |
| 367 | Rethinking Sentiment Analysis under Uncertainty | Yuefei Wu, Bin Shi, Jiarun Chen, Yuhang Liu, Bo Dong, Qinghua Zheng and Hua Wei |
| 370 | Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning | Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng and Philip S. Yu |
| 379 | GraphERT-- Transformers-based Temporal Dynamic Graph Embedding | Moran Beladev, Gilad Kats, Lior Rokach, Uriel Singer and Kira Radinsky |
| 389 | Modeling Sequential Collaborative User Behaviors For Seller-Aware Next Basket Recommendation | Ziyi Kou, Saurav Manchanda, Shih-Ting Lin, Min Xie, Haixun Wang and Xiangliang Zhang |
| 391 | Sequential recommendation via an adaptive cross-domain knowledge decomposition | Chuang Zhao, Xinyu Li, Ming He, Hongke Zhao and Jianping Fan |
| 393 | PopDCL: Popularity-aware Debiased Contrastive Loss for Collaborative Filtering | Zhuang Liu, Haoxuan Li, Guanming Chen, Yuanxin Ouyang, Wenge Rong and Zhang Xiong |
| 396 | Mulco: Recognizing Chinese Nested Named Entities through Multiple Scopes | Jiuding Yang, Jinwen Luo, Weidong Guo, Jerry Chen, Di Niu and Yu Xu |
| 402 | Search-Efficient Computerized Adaptive Testing | Yuting Hong, Shiwei Tong, Wei Huang, Yan Zhuang, Qi Liu, Enhong Chen, Xin Li and Yuanjing He |
| 413 | GCformer: An Efficient Solution for Accurate and Scalable Long-Term Multivariate Time Series Forecasting | Yanjun Zhao, Ziqing Ma, Tian Zhou, Mengni Ye, Liang Sun and Yi Qian |
| 414 | Out of the Box Thinking: Improving Customer Lifetime Value Modelling via Expert Routing and Game Whale Detection | Shijie Zhang, Xin Yan, Xuejiao Yang, Binfeng Jia and Shuangyang Wang |
| 422 | STAMINA (Spatial-Temporal Aligned Meteorological INformation Attention) and FPL (Focal Precip Loss): Advancements in Precipitation Nowcasting for Heavy Rainfall Events | Ping-Chia Huang, Yueh-Li Chen, Yi-Syuan Liou, Bing-Chen Tsai, Chun-Chieh Wu and Winston H. Hsu |
| 431 | VFedAD: A Defense Method Based on the Information Mechanism Behind the Vertical Federated Data Poisoning Attack | Jinrong Lai, Tong Wang, Chuan Chen, Yihao Li and Zibin Zheng |
| 435 | Robust Graph Clustering via Meta Weighting for Noisy Graphs | Hyeonsoo Jo, Fanchen Bu and Kijung Shin |
| 438 | DPGN: Denoising Periodic Graph Network for Life Service Recommendation | Hao Xu, Huixuan Chi, Danyang Liu, Sheng Zhou and Mengdi Zhang |
| 441 | UniTE: A Unified Treatment Effect Estimation Method for one-sided and two-sided Marketing | Runshi Liu and Zhipeng Hou |
| 443 | NeoMaPy: A Parametric Framework for Reasoning with MAP Inference on Temporal Markov Logic Networks | Victor David, Raphaël Fournier-S'Niehotta and Nicolas Travers |
| 444 | Bi-channel Multiple Sparse Graph Attention Networks for Session-based Recommendation | Shutong Qiao, Wei Zhou, Junhao Wen, Hongyu Zhang and Min Gao |
| 456 | MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation | Zekun Cai, Renhe Jiang, Xinyu Yang, Zhaonan Wang, Diansheng Guo, Hiroki Kobayashi, Xuan Song and Ryosuke Shibasaki |
| 460 | Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models | Yuyan Chen, Qiang Fu, Yichen Yuan, Zhihao Wen, Ge Fan, Dayiheng Liu, Zhixu Li, Yanghua Xiao and Dongmei Zhang |
| 461 | Meta-Transfer-Learning for Time Series Data with Extreme Events: An Application to Water Temperature Prediction | Shengyu Chen, Nasrin Kalanat, Simon Topp, Jeffrey Sadler, Yiqun Xie, Zhe Jiang and Xiaowei Jia |
| 462 | Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method for Pre-trained Language Models | Yuyan Chen, Qiang Fu, Ge Fan, Lun Du, Jian-Guang Lou, Shi Han, Zhixu Li, Yanghua Xiao and Dongmei Zhang |
| 464 | AI in the Gray: Exploring Moderation Policies in Dialogic Large Language Models vs. Human Answers in Controversial Topics | Vahid Ghafouri, Vibhor Agarwal, Yong Zhang, Nishanth Sastry, Jose Such and Guillermo Suarez-Tangil |
| 468 | On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks | Jhony H. Giraldo, Konstantinos Skianis, Thierry Bouwmans and Fragkiskos Malliaros |
| 470 | Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation | Xin Xia, Junliang Yu, Guandong Xu and Hongzhi Yin |
| 471 | Homophily-enhanced Structure Learning for Graph Clustering | Ming Gu, Gaoming Yang, Sheng Zhou, Ning Ma, Jiawei Chen, Qiaoyu Tan, Meihan Liu and Jiajun Bu |
| 475 | A Retrieve-and-Read Framework for Knowledge Graph Link Prediction | Vardaan Pahuja, Boshi Wang, Hugo Latapie, Jayanth Srinivasa and Yu Su |
| 486 | Enhanced Template-Free Reaction Prediction with Molecular Graphs and Sequence-based Data Augmentation | Haozhe Hu, Yongquan Jiang, Yan Yang and Jim X. Chen |
| 491 | Transferable Structure-based Adversarial Attack of Heterogeneous Graph Neural Network | Yu Shang, Yudong Zhang, Jiansheng Chen, Depeng Jin and Yong Li |
| 492 | Cross-city Few-Shot Traffic Forecasting via Traffic Pattern Bank | Zhanyu Liu, Guanjie Zheng and Yanwei Yu |
| 493 | Celebrity-aware Graph Contrastive Learning Framework for Social Recommendation | Zheng Hu, Satoshi Nakagawa, Liang Luo, Yu Gu and Fuji Ren |
| 496 | Disentangled Interest importance aware Knowledge Graph Neural Network for Fund Recommendation | Ke Tu, Wei Qu, Zhengwei Wu, Zhiqiang Zhang, Zhongyi Liu, Yiming Zhao, Le Wu, Jun Zhou and Guannan Zhang |
| 501 | Targeted Shilling Attacks on GNN-based Recommender Systems | Sihan Guo, Ting Bai and Weihong Deng |
| 508 | Decentralized Graph Neural Network for Privacy-Preserving Recommendation | Xiaolin Zheng, Zhongyu Wang, Chaochao Chen, Jiashu Qian and Yao Yang |
| 514 | Multi-domain Recommendation with Embedding Disentangling and Domain Alignment | Wentao Ning, Xiao Yan, Weiwen Liu, Reynold Cheng, Rui Zhang and Bo Tang |
| 515 | Dually Enhanced Delayed Feedback Modeling for Streaming Conversion Rate Prediction | Sunhao Dai, Yuqi Zhou, Jun Xu and Ji-Rong Wen |
| 520 | How Discriminative Are Your Qrels? How To Study the Statistical Significance of Document Adjudication Methods | David Otero, Javier Parapar and Nicola Ferro |
| 537 | HiPo: Detecting Fake News via Historical and Multi-Modal Analyses of Social Media Posts | Tianshu Xiao, Sichang Guo, Jingcheng Huang, Riccardo Spolaor and Xiuzhen Cheng |
| 546 | Towards Spoken Language Understanding via Multi-level Multi-grained Contrastive Learning | Xuxin Cheng, Wanshi Xu, Zhihong Zhu, Hongxiang Li and Yuexian Zou |
| 571 | Sentiment-aware Review Summarization with Personalized Multi-task Fine-tuning | Hongyan Xu, Hongtao Liu, Zhepeng Lv, Qing Yang and Wenjun Wang |
| 573 | Diffusion Augmentation for Sequential Recommendation | Qidong Liu, Fan Yan, Xiangyu Zhao, Zhaocheng Du, Huifeng Guo, Ruiming Tang and Feng Tian |
| 577 | Assessing the Continuous Causal Responses of Typhoon-related Weather on Human Mobility: An Empirical Study in Japan | Zhang Zhiwen, Wang Hongjun, Zipei Fan, Ryosuke Shibasaki and Xuan Song |
| 579 | Prompt Distillation for Efficient LLM-based Recommendation | Lei Li, Yongfeng Zhang and Li Chen |
| 580 | Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer | Wendong Bi, Xueqi Cheng, Bingbing Xu, Xiaoqian Sun, Li Xu and Huawei Shen |
| 581 | Temporal Convolutional Explorer Helps Understand 1D-CNN's Learning Behavior in Time Series Classification from Frequency Domain | Junru Zhang, Lang Feng, Yang He, Yuhan Wu and Yabo Dong |
| 584 | Adaptive Multi-Modalities Fusion in Sequential Recommendation Systems | Hengchang Hu, Wei Guo, Yong Liu and Min-Yen Kan |
| 590 | Weak Regression Enhanced Lifelong Learning for Improved Performance and Reduced Training Data | Tong Liu, Xulong Wang, He Huang and Po Yang |
| 594 | Unleashing the Power of Shared Label Structures for Human Activity Recognition | Xiyuan Zhang, Ranak Roy Chowdhury, Jiayun Zhang, Dezhi Hong, Rajesh Gupta and Jingbo Shang |
| 597 | All about sample-size calculations for A/B testing: novel extensions & practical guide | Jing Zhou, Jiannan Lu and Anas Shallah |
| 599 | A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense Knowledge | Kailai Yang, Tianlin Zhang, Shaoxiong Ji and Sophia Ananiadou |
| 601 | Good Intentions: Adaptive Parameter Management via Intent Signaling | Alexander Renz-Wieland, Andreas Kieslinger, Robert Gericke, Rainer Gemulla, Zoi Kaoudi and Volker Markl |
| 605 | Continuous Personalized Knowledge Tracing: Modeling Long-Term Learning in Online Environments | Chunpai Wang and Shaghayegh Sahebi |
| 616 | Topic-Aware Contrastive Learning and K-Nearest Neighbor Mechanism for Stance Detection | Yepeng Sun, Jicang Lu, Ling Wang, Shunhang Li and Ningbo Huang |
| 618 | Self-Supervised Dynamic Hypergraph Recommendation based on Hyper-Relational Knowledge Graph | Yi Liu, Hongrui Xuan, Bohan Li, Meng Wang, Tong Chen and Hongzhi Yin |
| 619 | Continual Learning for Generative Retrieval over Dynamic Corpora | Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan and Xueqi Cheng |
| 625 | Region Profile Enhanced Urban Spatio-Temporal Prediction via Adaptive Meta-Learning | Jie Chen, Tong Liu and Ruiyuan Li |
| 630 | Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks | Xinyi Gao, Wentao Zhang, Tong Chen, Junliang Yu, Quoc Viet Hung Nguyen and Hongzhi Yin |
| 650 | UrbanFloodKG: An Urban Flood Knowledge Graph System for Risk Assessment | Yu Wang, Feng Ye, Binquan Li, Gaoyang Jin, Dong Xu and Fengsheng Li |
| 666 | EAGLE: Enhance Target-Oriented Dialogs by Global Planning and Topic Flow Integration | Zee Hen Tang and Mi Yen Yeh |
| 667 | Independent Distribution Regularization for Private Graph Embedding | Qi Hu and Yangqiu Song |
| 681 | MadSGM: Multivariate Anomaly Detection with Score-based Generative Models | Haksoo Lim, Sewon Park, Minjung Kim, Jaehoon Lee, Seonkyu Lim and Noseong Park |
| 685 | Multi-Representation Variational Autoencoder via Iterative Latent Attention and Implicit Differentiation | Nhu-Thuat Tran and Hady Lauw |
| 687 | HTMapper: Bidirectional Head-Tail Mapping for Nested Named Entity Recognition | Jin Zhao, Zhixu Li, Yanghua Xiao, Jiaqing Liang and Jingping Liu |
| 688 | Deep Generative Imputation Model for Missing Not At Random Data | Jialei Chen, Yuanbo Xu, Pengyang Wang and Yongjian Yang |
| 699 | Deep Variational Bayesian Modeling of Haze Degradation Process | Eun-Woo Im, Junsung Shin, Sungyong Baik and Tae Hyun Kim |
| 701 | TOAK: A Topology-oriented Attack Strategy for Degrading User Identity Linkage in Cross-Network Learning | Jiangli Shao, Yongqing Wang, Fangda Guo, Boshen Shi, Huawei Shen and Xueqi Cheng |
| 704 | NOVO: Learnable and Interpretable Document Identifiers for Model-Based IR | Zihan Wang, Yujia Zhou, Yiteng Tu and Zhicheng Dou |
| 706 | CANA: Causal-enhanced Social Network Alignment | Jiangli Shao, Yongqing Wang, Fangda Guo, Boshen Shi, Huawei Shen and Xueqi Cheng |
| 711 | Mask- and Contrast-Enhanced Spatio-Temporal Learning for Urban Flow Prediction | Xu Zhang, Yongshun Gong, Xinxin Zhang, Xiaoming Wu, Chengqi Zhang and Xiangjun Dong |
| 712 | Improving Graph Domain Adaptation with Network Hierarchy | Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen and Xueqi Cheng |
| 715 | PriSHAP: Prior-guided Shapley Value Explanations for Correlated Features | Guanyu Jiang, Fuzhen Zhuang, Bowen Song, Tianyi Zhang and Deqing Wang |
| 716 | PSLF: Defending Against Label Leakage in Split Learning | Xinwei Wan, Jiankai Sun, Shengjie Wang, Lei Chen, Zhenzhe Zheng, Fan Wu and Guihai Chen |
| 720 | FVW: Finding Valuable Weight on Deep Neural Network for Model Pruning | Zhiyu Zhu, Huaming Chen, Zhibo Jin, Xinyi Wang, Jiayu Zhang, Minhui Xue, Qinghua Lu, Jun Shen and Kim-Kwang Raymond Choo |
| 721 | Improving adversarial transferability via frequency-based stationary point search | Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Qinghua Lu, Jun Shen and Kim-Kwang Raymond Choo |
| 730 | Cross-heterogeneity Graph Few-shot Learning | Pengfei Ding, Yan Wang and Guanfeng Liu |
| 738 | Relevance-based Infilling for Natural Language Counterfactuals | Lorenzo Betti, Carlo Abrate, Francesco Bonchi and Andreas Kaltenbrunner |
| 739 | Explore Epistemic Uncertainty in Domain Adaptive Semantic Segmentation | Kai Yao, Zixian Su, Xi Yang, Jie Sun and Kaizhu Huang |
| 741 | Real-time Emotion Pre-Recognition in Conversations with Contrastive Multi-modal Dialogue Pre-training | Xincheng Ju, Dong Zhang, Suyang Zhu, Junhui Li, Shoushan Li and Guodong Zhou |
| 750 | Incremental Graph Classification by Class Prototype Construction and Augmentation | Yixin Ren, Li Ke, Dong Li, Hui Xue, Zhao Li and Shuigeng Zhou |
| 755 | I^3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval | Qian Dong, Yiding Liu, Qingyao Ai, Haitao Li, Shuaiqiang Wang, Yiqun Liu, Dawei Yin and Shaoping Ma |
| 756 | Task Relation Distillation and Prototypical Pseudo Label for Incremental Named Entity Recognition | Duzhen Zhang, Hongliu Li, Wei Cong, Rongtao Xu, Jiahua Dong and Xiuyi Chen |
| 757 | Retrieving GNN Architecture for Collaborative Filtering | Fengqi Liang, Huan Zhao, Zhenyi Wang, Wei Fang and Chuan Shi |
| 766 | Exploring Low-Dimensional Manifolds of Deep Neural Network Parameters for Improved Model Optimization | Ke Lu, Xiaotong He, Ze Qin, Xinyao Li and Zhekai Du |
| 769 | MPerformer: An SE(3) Transformer-based Molecular Perceptron | Fanmeng Wang, Xi Chen, Shuqi Lu, Yuqing Deng, Wenbing Huang and Hongteng Xu |
| 771 | Disparity, Inequality, and Accuracy Tradeoffs in Graph Neural Networks for Node Classification | Arpit Merchant and Carlos Castillo |
| 772 | CFOM: Lead Optimization For Drug Discovery With Limited Data | Natan Kaminsky, Uriel Singer and Kira Radinsky |
| 773 | HST-GT: Heterogeneous Spatial-Temporal Graph Transformer for Delivery Time Estimation in Warehouse-Distribution Integration E-Commerce | Xiaohui Zhao, Shuai Wang, Hai Wang, Tian He, Desheng Zhang and Guang Wang |
| 781 | Nudging Neural Click Prediction Models to Pay Attention to Position | Efi Karra Taniskidou, Wenjie Zhao, Roberto Pellegrini and Iain Murray |
| 785 | Minimizing Polarization in Noisy Leader-Follower Opinion Dynamics | Wanyue Xu and Zhongzhi Zhang |
| 787 | Simplifying Temporal Heterogeneous Network for Continuous-Time Link prediction | Ce Li, Rongpei Hong, Xovee Xu, Goce Trajcevski and Fan Zhou |
| 788 | Adaptation Speed Analysis for Fairness-aware Causal Models | Yujie Lin, Chen Zhao, Minglai Shao, Xujiang Zhao and Haifeng Chen |
| 789 | WOT-Class: Weakly Supervised Open-world Text Classification | Tianle Wang, Zihan Wang, Weitang Liu and Jingbo Shang |
| 792 | Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction | Kelvin Koa, Yunshan Ma, Ritchie Ng and Tat-Seng Chua |
| 793 | Quantifying the Effectiveness of Advertising: A Bootstrap Proportion Test for Brand Lift Testing | Wanjun Liu, Xiufan Yu, Jialiang Mao, Xiaoxu Wu and Justin Dyer |
| 794 | Co-guided Random Walk for Polarized Communities Search | Fanyi Yang, Huifang Ma, Cairui Yan, Zhixin Li and Liang Chang |
| 803 | DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction | Chengqing Yu, Fei Wang, Zezhi Shao, Tao Sun, Lin Wu and Yongjun Xu |
| 804 | Tackling Diverse Minorities in Imbalance Classification | Kwei Herng Lai, Daochen Zha, Huiyuan Chen, Mangesh Bendre, Yuzhong Chen, Mashweta Das, Hao Yang and Xia Hu |
| 806 | Forward Creation, Reverse Selection: Achieving Highly Pertinent Multimodal Responses in Dialogue Contexts | Ge Luo, Manman Zhang, Yuchen Ma, Sheng Li, Zhenxing Qian and Xinpeng Zhang |
| 813 | SAND: Semantic Annotation of Numeric Data in Web Tables | Yuchen Su, Davood Rafiei and Behrad Khorram Nazari |
| 814 | A Mix-up Strategy to Enhance Adversarial Training with Imbalanced Data | Wentao Wang, Harry Shomer, Yuxuan Wan, Yaxin Li, Jiangtao Huang and Hui Liu |
| 815 | GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction | Yucheng Shi, Yushun Dong, Qiaoyu Tan, Jundong Li and Ninghao Liu |
| 838 | A Multi-Modality Framework for Drug-Drug Interaction Prediction by Harnessing Multi-source Data | Qianlong Wen, Jiazheng Li, Chuxu Zhang and Yanfang Ye |
| 843 | Understanding and Modeling Collision Avoidance Behavior for Realistic Crowd Simulation | Zihan Yu, Guozhen Zhang, Yong Li and Depeng Jin |
| 854 | Towards Dynamic and Reliable Private Key Management for Hierarchical Access Structure in Decentralized Storage | Yifang Zhang, Mingyue Wang, Yu Guo and Fangda Guo |
| 855 | Causality and Independence Enhancement for Biased Node Classification | Guoxin Chen, Yongqing Wang, Fangda Guo, Qinglang Guo, Jiangli Shao, Huawei Shen and Xueqi Cheng |
| 861 | RLIFE: Remaining Lifespan Prediction for E-scooters | Shuxin Zhong, William Yubeaton, Wenjun Lyu, Guang Wang, Desheng Zhang and Yu Yang |
| 862 | iHAS: Instance-wise Hierarchical Architecture Search for Deep Learning Recommendation Models | Yakun Yu, Shi-ang Qi, Jiuding Yang, Liyao Jiang and Di Niu |
| 864 | Integrating Priors into Domain Adaptation Based on Evidence Theory | Ying Lv, Jianpeng Ma, Yiqiu Zhang and Gang Xu |
| 868 | Liberate Pseudo Labels from Over-Dependence: Label Information Migration on Sparsely Labeled Graphs | Zhihui Hu, Yao Fu, Hong Zhao, Xiaoyu Cai, Weihao Jiang and Shiliang Pu |
| 869 | Causality-guided Graph Learning for Session-based Recommendation | Dianer Yu, Qian Li, Hongzhi Yin and Guandong Xu |
| 871 | Few-Shot Learning via Task-Aware Discriminant Local Descriptors Network | Leilei Yan, Fanzhang Li, Xiaohan Zheng and Li Zhang |
| 872 | Privacy-Preserving Federated Learning via Disentanglement | Wenjie Zhou, Piji Li, Zhaoyang Han, Xiaozhen Lu, Juan Li, Zhaochun Ren and Zhe Liu |
| 875 | Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting | Qian Ma, Zijian Zhang, Xiangyu Zhao, Haoliang Li, Hongwei Zhao, Yiqi Wang, Zitao Liu and Wanyu Wang |
| 876 | Learning Node Abnormality with Weak Supervision | Qinghai Zhou, Kaize Ding, Huan Liu and Hanghang Tong |
| 880 | Dual-Process Graph Neural Network for Diversified Recommendation | Yuanyi Ren, Hang Ni, Yingxue Zhang, Xi Wang, Guojie Song, Dong Li and Jianye Hao |
| 881 | Modeling Preference as Weighted Distribution over Functions for User Cold-start Recommendation | Jingxuan Wen, Huafeng Liu and Liping Jing |
| 883 | Joint Rebalancing and Charging for Shared Electric Micromobility Vehicles with Energy-informed Demand | Heng Tan, Yukun Yuan, Shuxin Zhong and Yu Yang |
| 903 | TriD-MAE: A Generic Pre-trained Model for Multivariate Time Series with Missing Values | Kai Zhang, Chao Li and Qinmin Yang |
| 904 | MoCLIM: Towards Accurate Cancer Subtyping via Multi-Omics Contrastive Learning with Omics-Inference Modeling | Ziwei Yang, Zheng Chen, Yasuko Matsubara and Yasushi Sakurai |
| 908 | AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange | Liang Zeng, Jin Xu, Zijun Yao, Yanqiao Zhu and Jian Li |
| 910 | MPMRC-MNER: A Unified MRC framework for Multimodal Named Entity Recognition based Multimodal Prompt | Xigang Bao, Mengyuan Tian, Biao Qin and Zhiyuan Zha |
| 920 | Medical Efficient Vision-Language Pre-training for Medical Report Generation | Qi Li |
| 928 | GraphFADE: Field-aware Decorrelation Neural Network for Graphs with Tabular Features | Junhong Wan, Yao Fu, Junlan Yu, Weihao Jiang, Shiliang Pu and Ruiheng Yang |
| 931 | FedPSE: Personalized Sparsification with Element-wise Aggregation for Federated Learning | Longfei Zheng, Yingting Liu, Xiaolong Xu, Chaochao Chen, Yuzhou Tang, Lei Wang and Xiaolong Hu |
| 940 | Single-User Injection for Invisible Shilling Attack against Recommender Systems | Chengzhi Huang and Hui Li |
| 941 | MemoNet: Memorizing All Cross Features' Representations Efficiently via Multi-Hash Codebook Network for CTR Prediction | Pengtao Zhang and Junlin Zhang |
| 945 | Cognitive-inspired Graph Redundancy Networks for Multi-source Information Fusion | Yao Fu, Junhong Wan, Junlan Yu, Weihao Jiang and Shiliang Pu |
| 946 | Multi-scale Graph Pooling Approach with Adaptive Key Subgraph for Graph Representations | Yiqin Lv, Zhiliang Tian, Zheng Xie and Yiping Song |
| 953 | GripRank: Bridging the Gap between Retrieval and Generation via the Generative Knowledge Improved Passage Ranking | Jiaqi Bai, Hongcheng Guo, Jiaheng Liu, Jian Yang, Xinnian Liang, Zhao Yan and Zhoujun Li |
| 960 | Capturing Popularity Trends: A Simplistic Non-Personalized Approach for Enhanced Item Recommendation | Jiazheng Jing, Yinan Zhang, Xin Zhou and Zhiqi Shen |
| 962 | MultiCAD: Contrastive Representation Learning for Multi-modal 3D Computer-Aided Design Models | Weijian Ma, Minyang Xu, Xueyang Li and Xiangdong Zhou |
| 966 | Simulating Student Interactions with Two-stage Imitation Learning for Intelligent Educational Systems | Guanhao Zhao, Zhenya Huang, Yan Zhuang, Jiayu Liu, Qi Liu, Zhiding Liu, Jinze Wu and Enhong Chen |
| 967 | Batch-Mix Negative Sampling for Learning Recommendation Retrievers | Yongfu Fan, Jin Chen, Yongquan Jiang, Defu Lian, Fangda Guo and Kai Zheng |
| 972 | Enhancing Spatio-temporal Traffic Prediction through Urban Human Activity Analysis | Sumin Han, Youngjun Park, Minji Lee, Jisun An and Dongman Lee |
| 973 | FAMC-Net: Frequency Domain Parity Correction Attention and Multi-Scale Dilated Convolution for Time Series Forecasting | Min Wang, Hua Wang and Fan Zhang |
| 974 | Relation-Aware Diffusion Model for Controllable Poster Layout Generation | Fengheng Li, An Liu, Wei Feng, Honghe Zhu, Yaoyu Li, Zheng Zhang, Jingjing Lv, Xin Zhu, Junjie Shen, Zhangang Lin and Jingping Shao |
| 977 | Post-hoc Selection of Pareto-Optimal Solutions in Search and Recommendation | Vincenzo Paparella, Vito Walter Anelli, Franco Maria Nardini, Raffaele Perego and Tommaso Di Noia |
| 978 | ELTRA: An Embedding Method based on Learning-to-Rank to Preserve Asymmetric Information in Directed Graphs | Masoud Rehyani Hamedani, Jin-Su Ryu and Sang-Wook Kim |
| 986 | A Re-evaluation of Deep Learning Methods for Attributed Graph Clustering | Xinying Lai, Dingming Wu, Christian S. Jensen and Kezhong Lu |
| 987 | Foreseer: Product aspect forecasting using temporal graph embedding | Zixuan Liu, Gaurush Hiranandani, Kun Qian, Edward W Huang, Yi Xu, Belinda Zeng, Karthik Subbian and Sheng Wang |
| 989 | DebCSE: Rethinking Unsupervised Contrastive Sentence Embedding Learning in the Debiasing Perspective | Pu Miao, Zeyao Du and Junlin Zhang |
| 992 | Improving Query Correction Using Pre-train Language Model In Search Engines | Dezhi Ye, Bowen Tian, Jiabin Fan, Jie Liu, Tianhua Zhou, Xiang Chen, Mingming Li and Jin Ma |
| 993 | Nerual Personalized Topic Modeling for Mining User Preferences on Social Media | Luyang Liu, Qunyang Lin, Haonan Tong, Hongyin Zhu, Ke Liu, Min Wang and Chuang Zhang |
| 994 | CoSaR: Combating Label Noise Using Collaborating Selection and Adversarial Regularization | Yutao Liu, Xiaobo Zhang, Hao Wang, Wei Wang, Panpan Ni and Ji Zhang |
| 1005 | Identifying Regional Driving Risks via Transductive Cross-City Transfer Learning Under Negative Transfer | Hua Yan, Hao Wang, Desheng Zhang and Yu Yang |
| 1006 | Hierarchical Prompt Tuning for Few-Shot Multi-Task Learning | Jingping Liu, Tao Chen, Zujie Liang, Haiyun Jiang, Yanghua Xiao, Feng Wei, Yuxi Qian, Zhenghong Hao and Bing Han |
| 1007 | SMEF: Social-aware Multi-dimensional Edge Features-based Graph Representation Learning for Recommendation | Xiao Liu, Shunmei Meng, Qianmu Li, Lianyong Qi, Xiaolong Xu, Wanchun Dou and Xuyun Zhang |
| 1010 | Non-Uniform Adversarial Perturbations for Discrete Tabular Datasets | Jay Nandy, Jatin Chauhan, Rishi Saket and Aravindan Raghuveer |
| 1011 | Inducing Causal Structure for Abstractive Text Summarization | Lu Chen, Ruqing Zhang, Wei Huang, Wei Chen, Jiafeng Guo and Xueqi Cheng |
| 1012 | Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models | Zhongjie Duan, Chengyu Wang, Cen Chen, Jun Huang and Weining Qian |
| 1022 | Enhancing the Robustness via Adversarial Learning and Joint Spatial-temporal Embeddings in Traffic Forecasting | Juyong Jiang, Binqing Wu, Ling Chen, Kai Zhang and Sunghun Kim |
| 1026 | System Initiative Prediction for Multi-turn Conversational Information Seeking | Chuan Meng, Mohammad Aliannejadi and Maarten de Rijke |
| 1037 | ST-MoE: Spatio-Temporal Mixture-of-Experts for Debiasing in Traffic Prediction | Shuhao Li, Yue Cui, Yan Zhao, Ruiyuan Zhang, Weidong Yang and Xiaofang Zhou |
| 1038 | Counterfactual Monotonic Knowledge Tracing for Assessing Students' Dynamic Mastery of Knowledge Concepts | Moyu Zhang, Xinning Zhu, Chunhong Zhang, Wenchen Qian, Feng Pan and Hui Zhao |
| 1043 | FARA: Future-aware Ranking Algorithm for Fairness Optimization | Tao Yang, Zhichao Xu, Zhenduo Wang and Qingyao Ai |
| 1048 | MERIT: A Merchant Incentive Ranking Model for Hotel Search & Ranking | Shigang Quan, Hailong Tan, Shui Liu, Zhenzhe Zheng, Ruihao Zhu, Liangyue Li, Quan Lu and Fan Wu |
| 1051 | Toward a Better Understanding of Loss Functions for Collaborative Filtering | Seongmin Park, Mincheol Yoon, Jae-woong Lee, Hogun Park and Jongwuk Lee |
| 1055 | The Role of Unattributed Behavior Logs in Predictive User Segmentation | Harshita Chopra, Atanu R Sinha, Aurghya Maiti, Atishay Ganesh, Sarthak Kapoor, Saili Myana and Saurabh Mahapatra |
| 1066 | iLoRE: Dynamic Graph Representation with Instant Long-term Modeling and Re-occurrence Preservation | Siwei Zhang, Yun Xiong, Yao Zhang, Xixi Wu, Yiheng Sun and Jiawei Zhang |
| 1079 | BOMGraph: Boosting Multi-scenario E-commerce Search with a Unified Graph Neural Network | Shuai Fan, Jinping Gou, Yang Li, Jiaxing Bai, Chen Lin, Wanxian Guan, Xubin Li, Hongbo Deng, Jian Xu and Bo Zheng |
| 1082 | CLOCK: Online Temporal Hierarchical Framework for Multi-scale Multi-granularity Forecasting of User Impression | Xiaoyu Wang, Yonghui Guo, Xiaoyang Ma, Dongbo Huang, Lan Xu, Haisheng Tan, Hao Zhou and Xiang-Yang Li |
| 1085 | Robust Within-basket Recommendation via Noise-tolerated Contrastive Learning | Xinrui He, Tianxin Wei and Jingrui He |
| 1090 | RotDiff: A Hyperbolic Rotation Representation Model for Information Diffusion Prediction | Hongliang Qiao, Shanshan Feng, Xutao Li, Huiwei Lin, Han Hu, Wei Wei and Yunming Ye |
| 1091 | How Expressive are Graph Neural Networks in Recommendation? | Xuheng Cai, Lianghao Xia, Xubin Ren and Chao Huang |
| 1097 | Follow the Will of the Market: A Context-Informed Drift-Aware Method for Stock Prediction | Chen-Hui Song, Xi Xiao, Shu-Tao Xia and Bin Zhang |
| 1102 | Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start Recommendation | Minchang Kim, Yongjin Yang, Jung Hyun Ryu and Taesup Kim |
| 1105 | MUSE: Multi-view contrastive learning for heterophilic graphs via information reconstruction | Mengyi Yuan, Minjie Chen and Xiang Li |
| 1114 | Graph Inference via the Energy-efficient Dynamic Precision Matrix Estimation with one-bit data | Xiao Tan, Yangyang Shen, Meng Wang and Beilun Wang |
| 1120 | RDGSL: Dynamic Graph Representation Learning With Structure Learning | Siwei Zhang, Yun Xiong, Yao Zhang, Yiheng Sun, Xi Chen, Yizhu Jiao and Yangyong Zhu |
| 1122 | Multi-Order Relations Hyperbolic Fusion for Heterogeneous Graphs | Junlin Li, Yueheng Sun and Minglai Shao |
| 1132 | Prompt-and-Align: Prompt-Based Social Alignment for Few-Shot Fake News Detection | Jiaying Wu, Shen Li, Ailin Deng, Miao Xiong and Bryan Hooi |
| 1135 | Seq-HyGAN: Sequence Classification via Hypergraph Attention Network | Khaled Mohammed Saifuddin, Corey May, Farhan Tanvir, Muhammad Ifte Khairul Islam and Esra Akbas |
| 1143 | DYANE: DYnamic Attributed NEtwork Generative Model | Giselle Zeno and Jennifer Neville |
| 1144 | Multi-modal Mixture of Experts Represetation Learning for Sequential Recommendation | Shuqing Bian, Xingyu Pan, Xin Zhao, Jinpeng Wang, Chuyuan Wang and Ji-Rong Wen |
| 1145 | DuoGAT: Dual Time-oriented Graph Attention Networks for Accurate, Efficient and Explainable Anomaly Detection on Time-series | Jongsoo Lee, Byeongtae Park and Dong-Kyu Chae |
| 1154 | Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method | Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan and Xueqi Cheng |
| 1161 | Hierarchical Multi-Label Classification with Partial Labels and Unknown Hierarchy | Suhyeon Jo, Donghyeok Shin, Byeonghu Na, JoonHo Jang and Il-Chul Moon |
| 1164 | Optimizing Upstream Representations for Out-of-Domain Detection with Supervised Contrastive Learning | Bo Wang and Tsunenori Mine |
| 1174 | Flexible and Robust Counterfactual Explanations with Minimal Satisfiable Perturbations | Yongjie Wang, Hangwei Qian, Yongjie Liu, Wei Guo and Chunyan Miao |
| 1175 | Measuring the Effect of Causal Disentanglement on the Adversarial Robustness of Neural Network Models | Preben Monteiro Ness, Dusica Marijan and Sunanda Bose |
| 1185 | Optimizing for Member Value in an Edge Building Marketplace | Ayan Acharya, Siyuan Gao, Ankan Saha, Borja Ocejo, Kinjal Basu, Keerthi Selvaraj, Rahul Mazumder, Aman Gupta and Parag Agrawal |
| 1186 | Parallel Knowledge Enhancement based Framework for Multi-behavior Recommendation | Chang Meng, Chenhao Zhai, Yu Yang, Hengyu Zhang and Xiu Li |
| 1191 | AFRF: Angle Feature Retrieval Based Popularity Forecasting | Haoyu Wang, Zongxia Xie, Meiyao Liu and Canhua Guan |
| 1204 | A Generalized Propensity Learning Framework for Unbiased Post-Click Conversion Rate Estimation | Yuqing Zhou, Tianshu Feng, Mingrui Liu and Ziwei Zhu |
| 1210 | Faster Approximation Algorithms for Parameterized Graph Clustering and Edge Labeling | Vedangi Bengali and Nate Veldt |
| 1218 | CARPG: Cross-City Knowledge Transfer for Traffic Accident Prediction via Attentive Region-level Parameter Generation | Guang Yang, Yuequn Zhang, Jinquan Hang, Xinyue Feng, Zejun Xie, Desheng Zhang and Yu Yang |
| 1225 | Representation Learning in Continuous-Time Dynamic Signed Networks | Kartik Sharma, Mohit Raghavendra, Yeon-Chang Lee, Anand Kumar M and Srijan Kumar |
| 1232 | Learning the Co-evolution Process on Live Stream Platforms with Dual Self-attention for Next-topic Recommendations | Hsu-Chao Lai, Philip Yu and Jiun-Long Huang |
| 1241 | Manipulating Out-Domain Uncertainty Estimation in Deep Neural Networks via Targeted Clean-Label Poisoning | Huimin Zeng, Zhenrui Yue, Yang Zhang, Lanyu Shang and Dong Wang |
| 1260 | Automatic and Precise Data Validation for Machine Learning | Shreya Shankar, Labib Fawaz, Karl Gyllstrom and Aditya Parameswaran |
| 1266 | Graph Enhanced Hierarchical Reinforcement Learning for Goal-oriented Learning Path Recommendation | Qingyao Li, Wei Xia, Li'Ang Yin, Jian Shen, Renting Rui, Weinan Zhang, Xianyu Chen, Ruiming Tang and Yong Yu |
| 1268 | Khronos: A Real-Time Indexing Framework for Time Series Databases on Large-Scale Performance Monitoring Systems | Xinyu Liu, Zijing Wei, Wenqing Yu, Gang Wang, Xiaoguang Liu, Yusen Li and Shaozhi Liu |
| 1272 | Heterogeneous Temporal Graph Neural Network Explainer | Jiazheng Li, Chunhui Zhang and Chuxu Zhang |
| 1274 | FINRule: Feature Interactive Neural Rule Learning | Lu Yu, Meng Li, Ya-Lin Zhang, Longfei Li and Jun Zhou |
| 1291 | Safe-NORA: Safe Reinforcement Learning-based Mobile Network Resource Allocation for Diverse User Demands | Wenzhen Huang, Tong Li, Yuting Cao, Zhe Lyu, Yanping Liang, Li Yu, Depeng Jin, Junge Zhang and Yong Li |
| 1299 | MultiPLe: Multilingual Prompt Learning for Relieving Semantic Confusions in Few-shot Event Detection | Siyuan Wang, Jianming Zheng, Wanyu Chen, Fei Cai and Xueshan Luo |
| 1300 | REST: Drug-Drug Interaction Prediction via Reinforced Student-Teacher Curriculum Learning | Xinhang Li, Zhaopeng Qiu, Xiangyu Zhao, Yong Zhang, Chunxiao Xing and Xian Wu |
| 1305 | Search Result Diversification Using Query Aspects as Bottlenecks | Puxuan Yu, Negin Rahimi, Zhiqi Huang and James Allan |
| 1307 | Target-Oriented Maneuver Decision for Autonomous Vehicle: A Rule-Aided Reinforcement Learning Framework | Ximu Zeng, Quanlin Yu, Shuncheng Liu, Yuyang Xia, Han Su and Kai Zheng |
| 1314 | Node-dependent Semantic Search over Heterogeneous Graph Neural Networks | Zhenyi Wang, Huan Zhao, Fengqi Liang and Chuan Shi |
| 1315 | Knowledge-inspired Subdomain Adaptation for Cross-Domain Knowledge Transfer | Liyue Chen, Linian Wang, Jinyu Xu, Shuai Chen, Weiqiang Wang, Wenbiao Zhao, Qiyu Li and Leye Wang |
| 1316 | Density-Aware Temporal Attentive Step-wise Diffusion Model For Medical Time Series Imputation | Jingwen Xu, Pong C Yuen and Fei Lyu |
| 1320 | Periodicity May Be Emanative: Hierarchical Contrastive Learning for Sequential Recommendation | Changxin Tian, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang and Jun Zhou |
| 1322 | HCL4QC: Incorporating Hierarchical Category Structures Into Contrastive Learning for E-commerce Query Classification | Lvxing Zhu, Kexin Zhang, Hao Chen, Chao Wei, Weiru Zhang, Haihong Tang and Xiu Li |
| 1324 | TPUF: Enhancing Cross-domain Sequential Recommendation via Transferring Pre-trained User Features | Yujia Ding, Huan Li, Ke Chen and Lidan Shou |
| 1332 | Citation Intent Classification and Its Supporting Evidence Extraction for Citation Graph Construction | Hong-Jin Tsai, An-Zi Yen, Hen-Hsen Huang and Hsin-Hsi Chen |
| 1336 | THGNN: An Embedding-based Model for Anomaly Detection in Dynamic Heterogeneous Social Networks | Yilin Li, Jiaqi Zhu, Congcong Zhang, Yi Yang, Jiawen Zhang, Ying Qiao and Hongan Wang |
| 1337 | SplitGNN: Spectral Graph Neural Network for Fraud Detection against Heterophily | Bin Wu, Xinyu Yao, Boyan Zhang, Kuo-Ming Chao and Yinsheng Li |
| 1341 | Communication-Efficient Decentralized Online Continuous DR-Submodular Maximization | Qixin Zhang, Zengde Deng, Xiangru Jian, Zaiyi Chen, Haoyuan Hu and Yu Yang |
| 1346 | Personalized Location-Preference Learning for Federated Task Assignment in Spatial Crowdsourcing | Xiaolong Zhong, Hao Miao, Dazhuo Qiu, Yan Zhao and Kai Zheng |
| 1348 | GUARD: Graph Universal Adversarial Defense | Jintang Li, Jie Liao, Ruofan Wu, Liang Chen, Zibin Zheng, Jiawang Dan, Changhua Meng and Weiqiang Wang |
| 1351 | Cracking the Code of Negative Transfer: A Cooperative Game Theoretic Approach for Cross-Domain Sequential Recommendation | Chung Park, Taesan Kim, Taekyoon Choi, Junui Hong, Yelim Yu, Mincheol Cho, Kyunam Lee, Sungil Ryu, Hyungjun Yoon, Minsung Choi and Jaegul Choo |
| 1355 | Self-supervised Contrastive Enhancement with Symmetric Few-shot Learning Towers for Cold-start News Recommendation | Hao Jiang, Chuanzhen Li, Juanjuan Cai, Runyu Tian and Jingling Wang |
| 1358 | Closed-form Machine Unlearning for Matrix Factorization | Shuijing Zhang, Jian Lou, Li Xiong, Xiaoyu Zhang and Jing Liu |
| 1369 | Cross-Scenario Maneuver Decision with Adaptive Perception for Autonomous Driving | Yuan Fu, Shuncheng Liu, Yuyang Xia, Fangda Guo and Kai Zheng |
| 1370 | Fairness through Aleatoric Uncertainty | Anique Tahir, Lu Cheng and Huan Liu |
| 1372 | Efficient Exact Minimum k-Core Search in Real-World Graphs | Qifan Zhang and Shengxin Liu |
| 1373 | ACGAN-GNNExplainer: Auxiliary Conditional Generative Explainer for Graph Neural Networks | Yiqiao Li, Jianlong Zhou, Yifei Dong, Niusha Shafiabady, and Fang Chen |
| 1379 | Knowledge-Aware Cross-Semantic Alignment for Domain-Level Zero-Shot Recommendation | Junji Jiang, Hongke Zhao, Ming He, Likang Wu, Kai Zhang and Jianping Fan |
| 1382 | Dual-Oriented Contrast for Recommendation with A Stop-Gradient Operation | Byungkook Oh, Yul Kim and Bumki Min |
| 1395 | SAGE: A Storage-Based Approach for Scalable and Efficient Sparse Generalized Matrix-Matrix Multiplication | Myung-Hwan Jang, Yunyong Ko, Hyuck-Moo Gwon, Ikhyeon Jo, Yongjun Park and Sang-Wook Kim |
| 1400 | Towards Automatic ICD Coding via Knowledge Enhanced Multi-Task Learning | Xinhang Li, Xiangyu Zhao, Yong Zhang and Chunxiao Xing |
| 1409 | Joint Link Prediction Via Inference from a Model | Parmis Naddaf, Erfaneh Mahmoudzaheh Ahmadinejad, Kiarash Zahirnia, Manfred Jaeger and Oliver Schulte |
| 1419 | L^2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations | Yinqiong Cai, Keping Bi, Yixing Fan, Jiafeng Guo, Wei Chen and Xueqi Cheng |
| 1425 | Context-Aware Prompt for Generation-based Event Argument Extraction with Diffusion Models | Lei Luo and Yajing Xu |
| 1427 | CDR: Conservative Doubly Robust Learning for Debiased Recommendation | Zijie Song, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen and Can Wang |
| 1428 | A Principled Decomposition of Pointwise Mutual Information for Intention Template Discovery | Denghao Ma, Kevin Chang, Yueguo Chen, Xueqiang Lv and Liang Shen |
| 1431 | EmFORE: Online Learning of Email Folder Classification Rules | Mukul Singh, Gust Verbruggen, José Cambronero, Sumit Gulwani and Vu Le |
| 1434 | Beyond Trading Data: The Hidden Influence of Public Awareness and Interest on Cryptocurrency Volatility | Zeyd Boukhers, Azeddine Bouabdallah, Cong Yang and Jan Jürjens |
| 1451 | On Root Cause Localization and Anomaly Mitigation through Causal Inference | Xiao Han, Lu Zhang, Yongkai Wu and Shuhan Yuan |
| 1452 | Community-Based Hierarchical Positive-Unlabeled (PU) Model Fusion for Chronic Disease Prediction | Yang Wu, Xurui Li, Xuhong Zhang, Yangyang Kang, Changlong Sun and Xiaozhong Liu |
| 1457 | Enhancing Repeat-Aware Recommendation from a Temporal-Sequential Perspective | Shigang Quan, Shui Liu, Zhenzhe Zheng and Fan Wu |
| 1472 | Dual-view Contrastive Learning for Auction Recommendation | Danni Ren, Leong Hou U and Wei Liu |
| 1483 | Deep Task-specific Bottom Representation Network for Multi-Task Recommendation | Qi Liu, Zhilong Zhou, Gangwei Jiang, Tiezheng Ge and Defu Lian |
| 1487 | Designing and Evaluating Presentation Strategies for Fact-Checked Content | Danula Hettiachchi, Kaixin Ji, Jenny Kennedy, Anthony McCosker, Flora Salim, Mark Sanderson, Falk Scholer and Damiano Spina |
| 1488 | Combining Inductive and Deductive Reasoning for Query Answering over Incomplete Knowledge Graphs | Medina Andresel, Daria Stepanova, Kien Tran, Csaba Domokos and Pasquale Minervini |
| 1495 | AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation | Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jaeboum Kim, Kai Zhang, Senzhang Wang, Xing Xie and Sunghun Kim |
| 1501 | A Co-training Approach for Noisy Time Series Learning | Weiqi Zhang, Jianfeng Zhang, Jia Li and Fugee Tsung |
| 1508 | SAILOR: Structural Augmentation Based Tail Node Representation Learning | Jie Liao, Jintang Li, Liang Chen, Bingzhe Wu, Yatao Bian and Zibin Zheng |
| 1510 | BRep-BERT: Pre-training Boundary Representation BERT with Sub-graph Node Contrastive Learning | Yunzhong Lou, Xueyang Li, Haotian Chen and Xiangdong Zhou |
| 1528 | Quad-Tier Entity Fusion Contrastive Representation Learning for Knowledge Aware Recommendation System | Rongqing Kenneth Ong, Wei Qiu and Andy W.H. Khong |
| 1529 | Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations | Zihan Wang, Kai Zhao, Yongquan He, Zhumin Chen, Pengjie Ren, Maarten de Rijke and Zhaochun Ren |
| 1531 | Time-series Shapelets with Learnable Lengths | Akihiro Yamaguchi, Ken Ueno and Hisashi Kashima |
| 1560 | Contrastive Representation Learning Based on Multiple Node-centered Subgraphs | Dong Li, Wenjun Wang, Minglai Shao and Chen Zhao |
| 1561 | Unveiling the Role of Message Passing in Dual-Privacy Preservation on GNNs | Tianyi Zhao, Hui Hu and Lu Cheng |
| 1577 | CANDY: A Causality-Driven Model for Hotel Dynamic Pricing | Ruitao Zhu, Wendong Xiao, Yao Yu, Yizhi Yu, Zhenzhe Zheng, Ke Bu, Dong Li and Fan Wu |
| 1585 | Prompting Strategies for Citation Classification | Suchetha Nambanoor Kunnath, David Pride and Petr Knoth |
| 1593 | Mutual Information-Driven Multi-View Clustering | Lele Fu, Lei Zhang, Tong Wang, Chuan Chen and Chuanfu Zhang |
| 1619 | Delivery Optimized Discovery in Behavioral User Segmentation under Budget Constraint | Harshita Chopra, Atanu R Sinha, Sunav Choudhary, Ryan A Rossi, Paavan Indela, Veda Pranav Parwatala, Srinjayee Paul and Aurghya Maiti |
| 1620 | Generalization bound for estimating causal effects from observational network data | Ruichu Cai, Zeqin Yang, Weilin Chen, Yuguang Yan and Zhifeng Hao |
| 1622 | Attention Calibration for Transformer-based Sequential Recommendation | Peilin Zhou, Qichen Ye, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jaeboum Kim, Chenyu You and Sunghun Kim |
| 1634 | PaperLM: A Pre-trained Model for Hierarchical Examination Paper Representation Learning | Minghui Shan, Yixiao Ma, Shulan Ruan, Zhi Cao, Shiwei Tong, Qi Liu, Yu Su and Shijin Wang |
| 1635 | A Graph Neural Network Model for Concept Prerequisite Relation Extraction | Debjani Mazumder, Jiaul H. Paik and Anupam Basu |
| 1641 | VILE: Block-Aware Visual Enhanced Document Retrieval | Huaying Yuan, Zhicheng Dou, Yujia Zhou, Yu Guo and Jirong Wen |
| 1654 | Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs | Haozhen Zhang, Xueting Han, Xi Xiao and Jing Bai |
| 1658 | APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation | Mingjia Yin, Hao Wang, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong Liu, Ruiming Tang, Defu Lian and Enhong Chen |
| 1660 | DiffUFlow: Robust Fine-grained Urban Flow Inference with Denoising Diffusion Model | Yuhao Zheng, Lian Zhong, Senzhang Wang, Yu Yang, Weixi Gu, Junbo Zhang and Jianxin Wang |
| 1678 | Interpretable Fake News Detection with Graph Evidence | Hao Guo, Weixin Zeng, Jiuyang Tang and Xiang Zhao |
| 1680 | Relevant Entity Selection: Knowledge Graph Bootstrapping via Zero-Shot Analogical Pruning | Lucas Jarnac, Miguel Couceiro and Pierre Monnin |
| 1685 | Reveal the Unknown: Out-of-Knowledge-Base Mention Discovery with Entity Linking | Hang Dong, Jiaoyan Chen, Yuan He, Yinan Liu and Ian Horrocks |
| 1690 | Unlocking the Potential of Non-PSD Kernel Matrices: A Polar Decomposition-based Transformation for Improved Prediction Models | Maximilian Münch, Manuel Röder and Frank-Michael Schleif |
| 1703 | Hierarchical Meta-Learning with Hyper-Tasks for Few-Shot Learning | Yunchuan Guan, Yu Liu, Ke Zhou and Junyuan Huang |
| 1717 | CLSPRec: Contrastive Learning of Long and Short-term Preferences for Next POI Recommendation | Chenghua Duan, Wei Fan, Wei Zhou, Hu Liu and Junhao Wen |
| 1727 | Geometric Graph Learning for Protein Mutation Effect Prediction | Kangfei Zhao, Yu Rong, Biaobin Jiang, Jianheng Tang, Hengtong Zhang, Jeffrey Xu Yu and Peilin Zhao |
| 1735 | HyperFormer: Enhancing Entity and Relation Interaction for Hyper-Relational Knowledge Graph Completion | Zhiwei Hu, Victor Gutierrez Basulto, Zhiliang Xiang, Ru Li and Jeff Z. Pan |
| 1737 | AutoMRM: A Model Retrieval Method Based on Multimodal Query and Meta-learning | Zhaotian Li, Binhang Qi, Hailong Sun and Xiang Gao |
| 1744 | A Model-Agnostic Method to Interpret Link Prediction Evaluation of Knowledge Graph Embeddings | Narayanan Asuri Krishnan and Carlos R. Rivero |
| 1745 | Evaluating and Optimizing the Effectiveness of Neural Machine Translation in Supporting Code Retrieval Models: A Study on the CAT Benchmark | Hung Phan and Ali Jannesari |
| 1778 | Spans, Not Tokens: A Span-Centric Model for Multi-Span Reading Comprehension | Zixian Huang, Jiaying Zhou, Chenxu Niu and Gong Cheng |
| 1783 | IUI: Intent-Enhanced User Interest Modeling for Click-Through Rate Prediction | Tao Yu, Mao Pan, Kun Zhou, Zheng Li, Dongyue Wang, Zhuoye Ding, Xiwei Zhao and Sulong Xu |
| 1787 | HAMUR: Hyper Adapter for Multi-Domain Recommendation | Xiaopeng Li, Fan Yan, Xiangyu Zhao, Yichao Wang, Huifeng Guo, Bo Chen and Ruiming Tang |
| 1799 | GranCATs: Cross-lingual Enhancement through Granularity-Specific Contrastive Adapters | Meizhen Liu, Jiakai He, Xu Guo, Jianye Chen, Siu Cheung Hui and Fengyu Zhou |
| 1805 | Rule-based Knowledge Graph Completion with Canonical Models | Simon Ott, Patrick Betz, Daria Stepanova, Mohamed H. Gad-Elrab, Christian Meilicke and Heiner Stuckenschmidt |
| 1818 | MLPST: MLP is All You Need for Spatio-Temporal Prediction | Zijian Zhang, Ze Huang, Zhiwei Hu, Xiangyu Zhao, Wanyu Wang, Zitao Liu, Junbo Zhang, S. Joe Qin and Hongwei Zhao |
| 1837 | Diving into a Sea of Opinions: Multi-modal Abstractive Summarization with Comment Sensitivity | Raghvendra Kumar, Ratul Chakraborty, Abhishek Tiwari, Sriparna Saha and Naveen Saini |
| 1844 | AspectMMKG: A Multi-modal Knowledge Graph with Aspect-aware Entities | Jingdan Zhang, Jiaan Wang, Xiaodan Wang, Zhixu Li and Yanghua Xiao |
| 1855 | Non-Compliant Bandits | Branislav Kveton, Yi Liu, Matteo Kruijssen and Yisu Nie |
| 1865 | James ate 5 oranges = Steve bought 5 pencils: Structure-Aware Denoising for Paraphrasing Word Problems | Rishabh Gupta, Venktesh V, Mukesh Mohania and Vikram Goyal |
| 1867 | Rebalancing Social Feed to Minimize Polarization and Disagreement | Federico Cinus, Aristides Gionis and Francesco Bonchi |
| 1874 | CLosER: Conversational Legal Longformer with Expertise-Aware Passage Response Ranker for Long Contexts | Arian Askari, Mohammad Aliannejadi, Amin Abolghasemi, Evangelos Kanoulas and Suzan Verberne |
| 1891 | HEProto: A Hierarchical Enhancing ProtoNet based on Multi-Task Learning for Few-shot Named Entity Recognition | Wei Chen, Lili Zhao, Pengfei Luo, Tong Xu, Yi Zheng and Enhong Chen |
| 1916 | Scalable Neural Contextual Bandit for Recommender Systems | Zheqing Zhu and Benjamin Van Roy |
| 1918 | Fair&Share: Fast and Fair Multi-Criteria Selections | Kathleen Cachel and Elke Rundensteiner |
| 1919 | G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer | Yuchen Zhuang, Xin Shen, Yan Zhao, Chaosheng Dong, Ming Wang, Jin Li and Chao Zhang |
| 1924 | Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries | Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Kevin Li, Judy Hoffman and Duen Horng Chau |
| 1928 | Low-bit Quantization for Deep Graph Neural Networks with Smoothness-aware Message Propagation | Shuang Wang, Bahaeddin Eravci, Rustam Guliyev and Hakan Ferhatosmanoglu |
| 1929 | Large Language Models as Zero-Shot Conversational Recommenders | Zhankui He, Zhouhang Xie, Rahul Jha, Harald Steck, Dawen Liang, Yesu Feng, Bodhisattwa Majumder, Nathan Kallus and Julian Mcauley |
| 1931 | Selecting Top-K Data Science Models by Example Dataset | Mengying Wang, Sheng Guan, Hanchao Ma, Yiyang Bian, Haolai Che, Yinghui Wu, Abhishek Daundkar and Alp Sehirlioglu |
| 1944 | Calibrate Graph Neural Networks under Out-of-Distribution Nodes via Deep Q-learning | Weili Shi, Xueying Yang, Xujiang Zhao, Haifeng Chen, Zhiqiang Tao and Sheng Li |
| 1952 | Can Knowledge Graphs Simplify Text? | Anthony Colas, Haodi Ma, Xuanli He, Yang Bai and Daisy Wang |
| 1955 | Spatial-Temporal Graph Boosting Network: Enhancing Spatial-Temporal Graph Neural Networks via Gradient Boosting | Yujie Fan, Chin-Chia Michael Yeh, Huiyuan Chen, Yan Zheng, Liang Wang, Junpeng Wang, Xin Dai, Zhongfang Zhuang and Wei Zhang |
| 1978 | Enabling Health Data Sharing with Fine-Grained Privacy | Luca Bonomi, Sepand Gousheh and Liyue Fan |
| 1980 | Tight-Sketch: A High-Performance Sketch for Heavy Item-Oriented Data Stream Mining with Limited Memory Size | Weihe Li and Paul Patras |
| 1982 | SANN: Programming Code Representation Using Attention Neural Network with Optimized Subtree Extraction | Muntasir Hoq, Sushanth Reddy Chilla, Melika Ahmadi Ranjbar, Peter Brusilovsky and Bita Akram |
| 1991 | A Momentum Loss Reweighting Method for Improving Recall | Chenzhi Jiang, Ningtao Wang, Ruofan Wu, Yin Jin, Xing Fu and Weiqiang Wang |
| 1996 | Dimension Independent Mixup for Hard Negative Sample in Collaborative Filtering | Xi Wu, Liangwei Yang, Jibing Gong, Chao Zhou, Tianyu Lin, Xiaolong Liu and Philip S. Yu |
| 2002 | printf: Preference Modeling Based on User Reviews with Item Images and Textual Information via Graph Learning | Hao Lun Lin, Jyun Yu Jiang, Pu Jen Cheng and Ming Hao Juan |
| 2004 | PCT-CycleGAN: Paired Complementary Temporal Cycle-Consistent Adversarial Networks for Radar-Based Precipitation Nowcasting | Jaeho Choi, Yura Kim, Kwang-Ho Kim, Sung-Hwa Jung and Ikhyun Cho |
| 2008 | An Efficient Selective Ensemble Learning with Rejection Approach for Classification | Hao Xu and Chiranjeet Chetia |
| 2017 | Towards Fair Graph Neural Networks via Graph Counterfactual | Zhimeng Guo, Jialiang Li, Teng Xiao, Yao Ma and Suhang Wang |
| 2064 | Task-Difficulty-Aware Meta-Learning with Adaptive Update Strategies for User Cold-Start Recommendation | Xuhao Zhao, Yanmin Zhu, Chunyang Wang, Mengyuan Jing, Jiadi Yu and Feilong Tang |
| 2069 | Contrastive Learning of Temporal Distinctiveness for Survival Analysis in Electronic Health Records | Mohsen Nayebi Kerdabadi, Arya Hadizadeh Moghaddam, Bin Liu, Mei Liu and Zijun Yao |
| 2083 | AutoSeqRec: Autoencoder for Efficient Sequential Recommendation | Sijia Liu, Jiahao Liu, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang and Ning Gu |
| 2099 | Federated Competing Risk Analysis | Md Mahmudur Rahman and Sanjay Purushotham |
| 2107 | Investigating the Impact of Multimodality and External Knowledge in Aspect-level Complaint and Sentiment Analysis | Apoorva Singh, Apoorv Verma, Raghav Jain and Sriparna Saha |
| 2114 | MATA*: Combining Learnable Node Matching with A* Algorithm for Approximate Graph Edit Distance Computation | Junfeng Liu, Min Zhou, Shuai Ma and Lujia Pan |
| 2117 | Spatio-Temporal Meta Contrastive Learning | Jiabin Tang, Lianghao Xia, Jie Hu and Chao Huang |
| 2123 | Explainable Spatio-Temporal Graph Neural Networks | Jiabin Tang, Lianghao Xia and Chao Huang |
| 2132 | Understanding User Immersion in Online Short Video Interaction | Zhiyu He, Shaorun Zhang, Peijie Sun, Jiayu Li, Xiaohui Xie, Min Zhang and Yiqun Liu |
| 2144 | Diversity-aware Deep Ranking Network for Recommendation | Zihong Wang, Yingxia Shao, Jiyuan He, Jinbao Liu, Shitao Xiao, Tao Feng and Ming Liu |
| 2146 | Leveraging Event Schema to Ask Clarifying Questions for Conversational Legal Case Retrieval | Bulou Liu, Yiran Hu, Qingyao Ai, Yiqun Liu, Yueyue Wu, Chenliang Li and Weixing Shen |
| 2148 | Single-Cell Multimodal Prediction via Transformers | Wenzhuo Tang, Hongzhi Wen, Renming Liu, Jiayuan Ding, Wei Jin, Yuying Xie, Hui Liu and Jiliang Tang |
| 2150 | Query-dominant User Interest Network for Large-Scale Search Ranking | Tong Guo, Xuanping Li, Haitao Yang, Xiao Liang, Yong Yuan, Jingyou Hou, Bingqing Ke, Chao Zhang, Junlin He, Shunyu Zhang, Enyun Yu and Wenwu Ou |
| 2164 | Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking | Shanlei Mu, Penghui Wei, Wayne Xin Zhao, Shaoguo Liu, Liang Wang and Bo Zheng |
| 2168 | Learning Pair-Centric Representation for Link Sign Prediction with Subgraph | Jushuo Chen, Feifei Dai, Xiaoyan Gu, Haihui Fan, Jiang Zhou, Bo Li and Weiping Wang |
| 2179 | Multimodal Optimal Transport Knowledge Distillation for Cross-domain Recommendation | Wei Yang, Jie Yang and Yuan Liu |
| 2183 | Experience and Evidence are the eyes of an excellent summarizer! Towards Knowledge Infused Multi-modal Clinical Conversation Summarization | Abhisek Tiwari, Anisha Saha, Sriparna Saha, Pushpak Bhattacharyya and Minakshi Dhar |
| 2187 | MGICL: Multi-Grained Interaction Contrastive Learning for Multimodal Named Entity Recognition | Aibo Guo, Xiang Zhao, Zhen Tan and Weidong Xiao |
| 2194 | A two-tier shared embedding method for review-based recommender systems | Zhen Yang, Junrui Liu, Tong Li, Di Wu, Shiqiu Yang and Huan Liu |
| 2201 | Predictive Uncertainty-based Bias Mitigation in Ranking | Maria Heuss, Daniel Cohen, Masoud Mansoury, Maarten de Rijke and Carsten Eickhoff |
| 2202 | Deep Integrated Explanations | Oren Barkan, Yehonatan Elisha, Yuval Asher, Amit Eshel, Jonathan Weil and Noam Koenigstein |
| 2203 | LambdaRank Gradients are Incoherent | Federico Marcuzzi, Claudio Lucchese and Salvatore Orlando |
| 2205 | MUSE: Music Recommender System with Shuffle Play Recommendation Enhancement | Yunhak Oh, Sukwon Yun, Dongmin Hyun, Sein Kim and Chanyoung Park |
| 2256 | Towards Fair Financial Services for All: A Temporal GNN Approach for Individual Fairness on Transaction Networks | Zixing Song, Yuji Zhang and Irwin King |
| 2298 | PCENet: Psychological Clues Exploration Network for Multimodal Personality Assessment | Yangfu Zhu, Yuting Wei, Meiling Li, Tingting Zhang, Siqi Wei and Bin Wu |
Resource Papers
| 378 | ITA-ELECTION-2022: A multi-platform dataset of social media conversations around the 2022 Italian general election | Francesco Pierri, Geng Liu and Stefano Ceri |
| 427 | TEI2GO: A Multilingual Approach for Fast Temporal Expression Identification | Hugo Sousa, Ricardo Campos and Alipio M. Jorge |
| 850 | MDCC: A Multimodal Dynamic Dataset for Donation-based Crowdfunding Campaigns | Xovee Xu, Jiayang Li and Fan Zhou |
| 1786 | PGB: A PubMed Graph Benchmark for Heterogeneous Network Representation Learning | Eric Lee and Joyce Ho |
| 2036 | ClinicalRisk: A New Therapy-related Clinical Trial Dataset for Predicting Trial Status and Failure Reasons | Junyu Luo, Zhi Qiao, Lucas Glass, Cao Xiao and Fenglong Ma |
| 2314 | RePair: An Extensible Toolkit to Generate Large-Scale Datasets for Query Refinement via Transformers | Yogeswar Lakshmi Narayanan and Hossein Fani |
| 2432 | KuaiSAR: A Unified Search And Recommendation Dataset | Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Dewei Leng, Yanan Niu, Yang Song, Xiao Zhang and Jun Xu |
| 2436 | ContributionSum: Generating Disentangled Contributions for Scientific Papers | Meng-Huan Liu, An-Zi Yen, Hen-Hsen Huang and Hsin-Hsi Chen |
| 2447 | DynamicESG: A Dataset for Dynamically Unearthing ESG Ratings from News Articles | Yu-Min Tseng, Chung-Chi Chen, Hen-Hsen Huang and Hsin-Hsi Chen |
| 2504 | Commonsense Temporal Action Knowledge (CoTAK) Dataset | Steven Lynden, Mehari Yohannes Hailemariam, Kyoung-Sook Kim, Adam Jatowt, Akiyoshi Matono, Hai-Tao Yu, Xin Liu and Yijun Duan |
| 2541 | Datasets and Interfaces for Benchmarking Heterogeneous Graph Neural Networks | Yijian Liu, Hongyi Zhang, Cheng Yang, Ao Li, Yugang Ji, Luhao Zhang, Tao Li, Jinyu Yang, Tianyu Zhao, Juan Yang, Hai Huang and Chuan Shi |
| 2555 | Towards Filling the Gap in Conversational Search: From Passage Retrieval to Conversational Response Generation | Weronika Łajewska and Krisztian Balog |
| 2598 | CTCam: Enhancing Transportation Evaluation through Fusion of Cellular Traffic and Camera-Based Vehicle Flows | ChungYi Lin, Shen-Lung Tung, Hung-Ting Su and Winston H. Hsu |
| 2615 | Anserini Gets Dense Retrieval: Integration of Lucene's HNSW Indexes | Xueguang Ma, Tommaso Teofili and Jimmy Lin |
| 2617 | A Test Collection of Synthetic Documents for Training Rankers: ChatGPT vs. Human Experts | Arian Askari, Mohammad Aliannejadi, Evangelos Kanoulas and Suzan Verberne |
| 2634 | KID34K: A Dataset for Online Identity Card Fraud Detection | Eun-Ju Park, Seung-Yeon Back, Jeongho Kim and Simon S. Woo |
| 2642 | GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation | Ji Qi, Jifan Yu, Teng Tu, Kunyu Gao, Yifan Xu, Xinyu Guan, Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li and Jie Tang |
| 2644 | ThyExp: An explainable AI-assisted Decision Making Toolkit for Thyroid Nodule Diagnosis based on Ultra-sound Images | Huizhi Liang, Jamie Morris, Zehao Liu, Sidhartha Nagala and Xia Hong |
| 2646 | FlaCGEC: A Chinese Grammatical Error Correction Dataset with Fine-grained Linguistic Annotation | Hanyue Du, Yike Zhao, Qingyuan Tian, Jiani Wang, Lei Wang, Yunshi Lan and Xuesong Lu |
| 2649 | MUSER: A Multi-View Similar Case Retrieval Dataset | Qingquan Li, Yiran Hu, Feng Yao, Chaojun Xiao, Zhiyuan Liu, Maosong Sun and Weixing Shen |
| 2748 | Ontology Enrichment from Texts: A Biomedical Dataset for Concept Discovery and Placement | Hang Dong, Jiaoyan Chen, Yuan He and Ian Horrocks |
| 2819 | OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning | Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen and Xueqi Cheng |
Short Papers
| 30 | Contrastive Learning for Rumor Detection via Fitting Beta Mixture Model | Jiachen Ma, Jing Dai, Yong Liu, Meng Han and Chunyu Ai |
| 40 | Epidemiology-aware Deep Learning for Infectious Disease Dynamics Prediction | Mutong Liu, Yang Liu and Jiming Liu |
| 47 | Multi-Granularity Attention Model for Group Recommendation | Jianye Ji, Jiayan Pei, Shaochuan Lin, He Hengxu, Jia Jia, Ning Hu and Taotao Zhou |
| 62 | Improving Diversity in Unsupervised Keyphrase Extraction with Determinantal Point Process | Mingyang Song, Huafeng Liu and Liping Jing |
| 137 | Knowledge-Enhanced Multi-Label Few-Shot Product Attribute-Value Extraction | Jiaying Gong, Wei-Te Chen and Hoda Eldardiry |
| 151 | Accessing Student Performance with Multi-granularity Attention from Online Classroom Dialogue | Jiahao Chen, Zitao Liu, Shuyan Huang, Yaying Huang, Xiangyu Zhao, Boyu Gao and Weiqi Luo |
| 181 | Quantum Split Learning for Privacy-Preserving Information Management | Soohyun Park, Hankyul Baek and Joongheon Kim |
| 186 | A deep conditional generative approach for constrained community detection | Chaobo He, Junwei Cheng, Quanlong Guan, Xiang Fei, Hanchao Li and Yong Tang |
| 193 | Retrieval-Based Unsupervised Noisy Label Detection on Text Data | Peiyang Liu, Jinyu Wang, Lin Wang, Sen Wang, Yunlai Hao and Huihui Bai |
| 282 | Simplex2vec Backward: From Vectors Back to Simplicial Complex | Huixin Zhan, Kun Zhang, Zhong Chen and Victor Sheng |
| 315 | OnlineAutoClust: A Framework for Online Automated Clustering | Radwa El Shawi and Dmitri Rozgonjuk |
| 344 | Guidepost: Target-oriented Few-shot Transferring via Measuring Task Similarity | Zhipeng Zhou, Wei Gong and Haoquan Zhou |
| 363 | Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQA | Guanting Dong, Rumei Li, Sirui Wang, Yupeng Zhang, Yunsen Xian and Weiran Xu |
| 374 | Generating News-Centric Crossword Puzzles As A Constraint Satisfaction and Optimization Problem | Kaito Majima and Shotaro Ishihara |
| 647 | Counterfactual Adversarial Learning for Recommendation | Jialin Liu, Zijian Zhang, Xiangyu Zhao and Jun Li |
| 991 | Adaptive Graph Neural Diffusion for Traffic Demand Forecasting | Yiling Wu, Xinfeng Zhang and Yaowei Wang |
| 1155 | Pseudo Triplet Networks for Classification Tasks with Cross-Source Feature Incompleteness | Cayon Liow, Cheng-Te Li, Chun-Pai Yang and Shou-De Lin |
| 1254 | Toward a Foundation Model for Time Series Data | Chin-Chia Michael Yeh, Xin Dai, Huiyuan Chen, Yan Zheng, Yujie Fan, Audrey Der, Vivian Lai, Zhongfang Zhuang, Junpeng Wang, Liang Wang and Wei Zhang |
| 1263 | VN-Solver: Vision-based Neural Solver for Combinatorial Optimization over Graphs | Mina Samizadeh and Guangmo Tong |
| 1475 | Pre-training with Aspect-Content Text Mutual Prediction for Multi-Aspect Dense Retrieval | Xiaojie Sun, Keping Bi, Jiafeng Guo, Xinyu Ma, Fan Yixing, Hongyu Shan, Qishen Zhang and Zhongyi Liu |
| 1738 | Accelerating Concept Learning via Sampling | Alkid Baci and Stefan Heindorf |
| 2318 | Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting | Zhenwei Zhang, Xin Wang, Jingyuan Xie, Heling Zhang and Yuantao Gu |
| 2325 | Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting | Hangchen Liu, Zheng Dong, Renhe Jiang, Jiewen Deng, Jinliang Deng, Quanjun Chen and Xuan Song |
| 2326 | Leveraging Post-Click User Behaviors for Calibrated Conversion Rate Prediction Under Delayed Feedback in Online Advertising | Yuyao Guo, Xiang Ao, Qiming Liu and Qing He |
| 2334 | Graph Contrastive Learning with Graph Info-Min | En Meng and Yong Liu |
| 2337 | Segment Augmentation and Prediction Consistency Neural Network for Multi-label Unknown Intent Detection | Miaoxin Chen, Cao Liu, Boqi Dai, Hai-Tao Zheng, Ting Song, Jiansong Chen, Guanglu Wan and Rui Xie |
| 2362 | TemDep: Temporal Dependency Priority for Multivariate Time Series Prediction | Shu Liu, Jiaheng Wang, Jiamin Chen, Jianliang Gao and Yuhui Zhong |
| 2376 | Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems | Giacomo Medda, Francesco Fabbri, Mirko Marras, Ludovico Boratto and Gianni Fenu |
| 2380 | Self-supervised Learning and Graph Classification under Heterophily | Yilin Ding, Zhen Liu and Hao Hao |
| 2387 | Unsupervised Anomaly Detection & Diagnosis: A Stein Variational Gradient Descent Approach | Zhichao Chen, Leilei Ding, Zhixuan Chu, Jianmin Huang, Qingyang Dai and Hao Wang |
| 2390 | ST-RAP: A Spatio-Temporal Framework for Real Estate Apprisal | Hojoon Lee, Hawon Jeong, Byungkun Lee, Kyungyup Daniel Lee and Jaegul Choo |
| 2391 | Learning to Simulate Complex Physical Systems: a Case Study | Jiasheng Shi, Fu Lin and Weixiong Rao |
| 2393 | Geometric Matrix Completion via Sylvester Multi-Graph Neural Network | Boxin Du, Changhe Yuan, Fei Wang and Hanghang Tong |
| 2395 | Efficient Differencing of System-level Provenance Graphs | Yuta Nakamura, Iyad Kanj and Tanu Malik |
| 2396 | Product Entity Matching via Tabular Data | Ali Naeimabadi, Mir Tafseer Nayeem and Davood Rafiei |
| 2399 | A Joint Training-Calibration Framework for Test-Time Personalization with Label Shift in Federated Learning | Jian Xu and Shao-Lun Huang |
| 2415 | A Self-learning Resource-Efficient Re-Ranking Method for Clinical Trials Search | Maciej Rybinski, Vincent Nguyen and Sarvnaz Karimi |
| 2417 | LEAD-ID: Language-Enhanced Denoising and Intent Distinguishing Graph Neural Network for Sponsored Search Broad Retrievals | Ran Wang, Xiao Zhou, Haorui Li, Qiang Liu, Xingxing Wang and Dong Wang |
| 2418 | FairGraph: Automated Graph Debiasing with Gradient Matching | Yezi Liu |
| 2433 | Causal Discovery in Temporal Domain from Interventional Data | Peiwen Li, Yuan Meng, Xin Wang, Fang Shen, Yue Li, Jialong Wang and Wenwu Zhu |
| 2443 | CORD: A Three-Stage Coarse-to-Fine Framework for Relation Detection in Knowledge Base Question Answering | Yanzeng Li, Sen Hu, Wenjuan Han and Lei Zou |
| 2456 | Network Embedding with Adaptive Multi-hop Contrast | Chenhao Wang, Yong Liu and Yan Yang |
| 2458 | Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction | Yuanchen Bei, Hao Chen, Shengyuan Chen, Xiao Huang, Sheng Zhou and Feiran Huang |
| 2492 | RecRec: Algorithmic Recourse for Recommender Systems | Sahil Verma, Ashudeep Singh, Varich Boonsanong, John P. Dickerson and Chirag Shah |
| 2517 | Age-Aware Guidance via Masking-Based Attention in Face Aging | Junyeong Maeng, Kwanseok Oh and Heung-Il Suk |
| 2520 | AmpliBias: Mitigating Dataset Bias through Bias Amplification in Few-shot Learning for Generative Models | Donggeun Ko, Dongjun Lee, Namjun Park, Kyoungrae Noh, Hyeonjin Park and Jaekwang Kim |
| 2526 | Graph-based Alignment and Uniformity for Recommendation | Liangwei Yang, Zhiwei Liu, Chen Wang, Mingdai Yang, Xiaolong Liu, Jing Ma and Philip S. Yu |
| 2567 | Metapath-Guided Data-Augmentation For Knowledge Graphs | Saurav Manchanda |
| 2570 | Simulating Users in Interactive Web Table Retrieval | Björn Engelmann, Timo Breuer and Philipp Schaer |
| 2583 | Sequential Text-based Knowledge Update with Self-Supervised Learning for Generative Language Models | Hao-Ru Sung, Ying-Jhe Tang, Yu-Chung Cheng, Pai-Lin Chen, Tsai-Yen Li and Hen-Hsen Huang |
| 2607 | Neural Disentanglement of Query Difficulty and Semantics | Sara Salamat, Negar Arabzadeh, Shirin Seyedsalehi, Amin Bigdeli, Morteza Zihayat and Ebrahim Bagheri |
| 2612 | MC-DRE: Multi-Aspect Cross Integration for Drug Event/Entity Extraction | Jie Yang, Caren Han, Siqu Long, Josiah Poon and Goran Nenadic |
| 2619 | Forgetting-aware Linear Bias for Attentive Knowledge Tracing | Yoonjin Im, Eunseong Choi, Heejin Kook and Jongwuk Lee |
| 2622 | EdgeNet : Encoder-decoder generative Network for Auction Design in E-commerce Online Advertising | Guangyuan Shen, Shengjie Sun, Dehong Gao, Libin Yang, Wei Ning and Shi Yongping |
| 2625 | Effective Slogan Generation with Noise Perturbation | Jongeun Kim, Minchung Kim and Taehwan Kim |
| 2626 | Region-Wise Attentive Multi-View Representation Learning for Urban Region Embedding | Weiliang Chen and Qianqian Ren |
| 2627 | Neighborhood Homophily-based Graph Convolutional Network | Shengbo Gong, Jiajun Zhou, Chenxuan Xie and Qi Xuan |
| 2629 | You’re Not Alone in Battle: Combat Threat Analysis Using Attention Networks and a New Open Benchmark | Soo Yong Lee, Juwon Kim, Kiwoong Park, Dongkuk Ryu, Sangheun Shim and Kijung Shin |
| 2630 | POSPAN: Position-Constrained Span Masking for Language Model Pre-training | Zhenyu Zhang, Shen Lei, Yuming Zhao, Meng Chen and Xiaodong He |
| 2660 | HEPT Attack: Heuristic Perpendicular Trial for Hard-label Attacks under Limited Query Budgets | Qi Li, Xingyu Li, Xiaodong Cui, Keke Tang and Peican Zhu |
| 2262 | Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning | Tianmeng Yang, Min Zhou, Yujing Wang, Zhengjie Lin, Lujia Pan, Bin Cui and Yunhai Tong |
| 2267 | STGIN: Spatial-Temporal Graph Interaction Network for large-scale POI recommendation | Shaohua Liu, Yu Qi, Gen Li, Mingjian Chen, Teng Zhang, Jia Cheng and Jun Lei |
| 2672 | Knowledge Graph Error Detection with Hierarchical Path Structure | Zhao Zhang, Fuwei Zhang, Fuzhen Zhuang and Yongjun Xu |
| 2676 | FCT-GAN: Enhancing Global Correlation of Table Synthesis via Fourier Transform | Zilong Zhao, Robert Birke and Lydia Y. Chen |
| 2677 | Differential Privacy in HyperNetworks for Personalized Federated Learning | Vaisnavi Nemala, Phung Lai and Nhathai Phan |
| 2681 | Geometry Interaction Augmented Graph Collaborative Filtering | Jie Xu and Chaozhuo Li |
| 2684 | Latent Aspect Detection via Backtranslation Augmentation | Farinam Hemmatizadeh, Christine Wong, Alice Yu and Hossein Fani |
| 2686 | A Flash Attention Transformer for Multi-Behaviour Recommendation | Tendai Mukande, Esraa Ali, Annalina Caputo, Ruihai Dong and Noel Edward O'Connor |
| 2687 | Learning Sparse Lexical Representations Over Specified Vocabularies for Retrieval | Jeffrey M. Dudek, Weize Kong, Cheng Li, Mingyang Zhang and Michael Bendersky |
| 2697 | G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender System | Youshao Xiao, Shangchun Zhao, Zhenglei Zhou, Zhaoxin Huan, Lin Ju, Xiaolu Zhang, Lin Wang and Jun Zhou |
| 2706 | Higher-Order Peak Decomposition | Xingyu Tan, Jingya Qian, Chen Chen, Qing Sima, Yanping Wu, Xiaoyang Wang and Wenjie Zhang |
| 2707 | Differentiable Retrieval Augmentation via Generative Language Modeling for E-commerce Query Intent Classification | Chenyu Zhao, Yunjiang Jiang, Yiming Qiu, Han Zhang and Wen-Yun Yang |
| 2711 | Exposing Model Theft: A Robust and Transferable Watermark for Thwarting Model Extraction Attacks | Ruixiang Tang, Hongye Jin, Mengnan Du, Curtis Wigington, Rajiv Jain and Xia Hu |
| 2714 | DAE: Distribution-Aware Embedding for Numerical Features in Click-Through Rate Prediction | Bin Shen, Jingran Xu, Xu Min, Zeyu Ke, Yong He, Liang Zhang, Xin Dong and Linjian Mo |
| 2720 | A Robust Backward Compatibility Metric for Model Retraining | Ryuta Matsuno and Keita Sakuma |
| 2725 | A Semi-Supervised Anomaly Network Traffic Detection Framework via Multimodal Traffic Information Fusion | Yu Zheng, Xinglin Lian, Zhangxuan Dang, Chunlei Peng, Chao Yang and Jianfeng Ma |
| 2728 | Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction | Xinke Jiang, Dingyi Zhuang, Xianghui Zhang, Hao Chen, Jiayuan Luo and Xiaowei Gao |
| 2729 | CAMARADERIE: Content Based Knowledge Transfer of Medical Image Retrieval Using Supervised Autoencoders in a Decentralized Setting | Advait Padhye, Shreeja Bhakat, Humaira Firdowse, Atharv Savarkar, Ganesh Ramakrishnan and Kshitij Jadhav |
| 2733 | Promoting Diversity in Mixed Complex Cooperative and Competitive Multi-Agent Environment | Jia Wu and Zixiao Huang |
| 2735 | DPAN: Dynamic Preference-based and Attribute-aware Network for Relevant Recommendations | Wei Dai, Yingmin Su, Xiaofeng Pan, Yufeng Wang, Zhenyu Zhu, Nan Xu, Chengjun Mao and Bo Cao |
| 2745 | Learning Invariant Representations for New Product Sales Forecasting via Multi-Granularity Adversarial Learning | Zhenzhen Chu, Chengyu Wang, Cen Chen, Dawei Cheng, Yuqi Liang and Weining Qian |
| 2746 | Unlocking the Potential of User Feedback: Leveraging Large Language Model as User Simulators to Enhance Dialogue System | Zhiyuan Hu, Yue Feng, Anh Tuan Luu, Bryan Hooi and Aldo Lipani |
| 2747 | Retrievability Bias Estimation Using Synthetically Generated Queries | Amin Abolghasemi, Suzan Verberne, Arian Askari and Leif Azzopardi |
| 2755 | Perturbation-Based Two-Stage Multi-Domain Active Learning | Rui He, Zeyu Dai, Shan He and Ke Tang |
| 2756 | MI-DPG: Decomposable Parameter Generation Network Based on Mutual Information for Multi-Scenario Recommendation | Wenzhuo Cheng, Ke Ding, Yong He, Liang Zhang, Linjian Mo and Xin Dong |
| 2757 | MSRA: A Multi-Aspect Semantic Relevance Approach for E-Commerce via Multimodal Pre-Training | Hanqi Jin, Jiwei Tan, Lixin Liu, Lisong Qiu, Shaowei Yao, Xi Chen and Xiaoyi Zeng |
| 2766 | Can Embeddings Analysis Explain Large Language Model Ranking? | Claudio Lucchese, Giorgia Minello, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego and Alberto Veneri |
| 2768 | Fine-Grained Socioeconomic Prediction from Satellite Images with Distributional Adjustment | Donghyun Ahn, Minhyuk Song, Seungeon Lee, Yubin Choi, Jihee Kim, Sangyoon Park, Hyunjoo Yang and Meeyoung Cha |
| 2776 | Stochastic Subgraph Neighborhood Pooling for Subgraph Classification | Shweta Ann Jacob, Paul Louis and Amirali Salehi-Abari |
| 2783 | Towards Trustworthy Rumor Detection with Interpretable Graph Structural Learning | Leyuan Liu, Junyi Chen, Zhangtao Cheng, Wenxin Tai and Fan Zhou |
| 2786 | Efficient Multi-Task Learning via Generalist Recommender | Luyang Wang, Cangcheng Tang, Chongyang Zhang, Jun Ruan, Kai Huang and Jinquan Dai |
| 2787 | Enhancing Information Diffusion Prediction with Self-Supervised Disentangled User and Cascade Representations | Zhangtao Cheng, Wenxue Ye, Wenxin Tai, Leyuan Liu and Fan Zhou |
| 2799 | Temporal and Topological Augmentation-based Cross-view Contrastive Learning Model for Temporal Link Prediction | Dongyuan Li, Shiyin Tan, Yusong Wang, Kotaro Funakoshi and Manabu Okumura |
| 2801 | BI-GCN: Bilateral Interactive Graph Convolutional Network for Recommendation | Yinan Zhang, Pei Wang, Congcong Liu, Xiwei Zhao, Hao Qi, Jie He, Junsheng Jin, Changping Peng, Zhangang Lin and Jingping Shao |
| 2803 | Deep Context Interest Network for Click-Through Rate Prediction | Xuyang Hou, Zhe Wang, Qi Liu, Tan Qu, Jia Cheng and Jun Lei |
| 2808 | Can a chatbot be useful in childhood cancer survivorship? Development of a chatbot for survivors of childhood cancer | Mirae Kim, Kyubum Hwang, Hayoung Oh, Heejin Kim and Min Ah Kim |
| 2810 | UNDO: Effective and Accurate Unlearning Method for Deep Neural Networks | Sangyong Lee and Simon S. Woo |
| 2814 | Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning | Anton Lee, Yaqian Zhang, Heitor Murilo Gomes, Albert Bifet and Bernhard Pfahringer |
| 2816 | DCGNN: Dual-Channel Graph Neural Network for Social Bot Detection | Nuoyan Lyu, Bingbing Xu, Fangda Guo and Huawei Shen |
| 2817 | Quantitative Decomposition of Prediction Errors Revealing Multi-Cause Impacts: An Insightful Framework for MLOps | Keita Sakuma, Ryuta Matsuno and Yoshio Kameda |
| 2820 | CSPM: A Contrastive Spatiotemporal Preference Model for CTR Prediction in On-Demand Food Delivery Services | Guyu Jiang, Xiaoyun Li, Rongrong Jing, Ruoqi Zhao, Xingliang Ni, Guodong Cao and Ning Hu |
| 2836 | Logarithmic Dimension Reduction for Quantum Neural Networks | Hankyul Baek, Soohyun Park and Joongheon Kim |
| 2844 | KGrEaT: A Framework to Evaluate Knowledge Graphs via Downstream Tasks | Nicolas Heist, Sven Hertling and Heiko Paulheim |
| 2847 | FiBiNet++: Reducing Model Size by Low Rank Feature Interaction Layer for CTR Prediction | Pengtao Zhang, Zheng Zheng and Junlin Zhang |
| 2855 | MvFS: Multi-view Feature Selection for Recommender System | Youngjune Lee, Keunchan Park, Yeongjong Jeong and Seongku Kang |
| 2861 | SeqGen: A Sequence Generator via User Side Information for Behavior Sparsity in Recommendation | Xu Min, Xiaolu Zhang, Bin Shen, Shuhan Wang, Yong He, Changsheng Li and Jun Zhou |
| 2871 | Attribute-enhanced Dual Channel Representation Learning for Session-based Recommendation | Qian Chen, Jianjun Li, Zhiqiang Guo, Guohui Li and Zhiying Deng |
| 2882 | Weight Matters: An Empirical Investigation of Distance Oracles on Knowledge Graphs | Ke Zhang, Jiageng Chen, Zixian Huang and Gong Cheng |
| 2886 | Personalized Differentially Private Federated Learning without Exposing Privacy Budgets | Junxu Liu, Jian Lou, Li Xiong and Xiaofeng Meng |
| 2895 | Adversarial Density Ratio Estimation for Change Point Detection | Shreyas S, Prakash Mandayam Comar and Sivaramakrishnan Kaveri |
| 2905 | Class Label-aware Graph Anomaly Detection | Junghoon Kim, Yeonjun In, Kanghoon Yoon, Junmo Lee and Chanyoung Park |
| 2916 | Positive-Unlabeled Node Classification with Structure-aware Graph Learning | Hansi Yang, Yongqi Zhang, Quanming Yao and James Kwok |
| 2921 | Semi-supervised Curriculum Ensemble Learning for Financial Precision Marketing | Hsin-Yu Chen, Cheng-Te Li and Ting-Yu Chen |
| 2946 | KGPR: Knowledge Graph Enhanced Passage Ranking | Jinyuan Fang, Zaiqiao Meng and Craig Macdonald |
| 2958 | Clustering-property Matters: A Cluster-aware Network for Large Scale Multivariate Time Series Forecasting | Yuan Wang, Zezhi Shao, Tao Sun, Chengqing Yu, Yongjun Xu and Fei Wang |
| 2975 | A Comparative Study of Reference Reliability in Multiple Language Editions of Wikipedia | Aitolkyn Baigutanova, Diego Saez-Trumper, Miriam Redi, Meeyoung Cha and Pablo Aragón |
| 2982 | Generative Graph Augmentation for Minority Class in Fraud Detection | Lin Meng, Xiaonan Zhang, Jiawei Zhang, Hesham Mostafa and Marcel Nassar |
| 2991 | Findability: A Novel Measure of Information Accessibility | Aman Sinha, Priyanshu Raj Mall and Dwaipayan Roy |
| 2993 | Incorporating Co-purchase Correlation for Next-basket Recommendation | Yu Hao Chou and Pu Jen Cheng |
| 2995 | Extracting Methodology Components from AI Research Papers: A Data-driven Factored Sequence Labeling Approach | Madhusudan Ghosh, Debasis Ganguly, Partha Basuchowdhuri and Sudip Kumar Naskar |
| 2999 | Identify Risky Rules to Reduce Side Effects in Association Rule Hiding | Peng Cheng |
| 3000 | Hateful Comment Detection and Hate Target Type Prediction for Video Comments | Shrey Gupta, Pratyush Priyadarshi and Manish Gupta |
| 3004 | ‘Choose your data wisely’: Active Learning based Selection with Multi-Objective Optimisation for Mitigating Stereotypes | Manish Chandra, Debasis Ganguly, Tulika Saha and Iadh Ounis |
| 3017 | Patient Clustering via Integrated Profiling of Clinical and Digital Data | Dongjin Choi, Andy Xiang, Ozgur Ozturk, Deep Shrestha, Barry Drake, Hamid Haidarian, Faizan Javed and Haesun Park |
| 3019 | Linkage Attack on Skeleton-based Motion Visualization | Thomas Carr, Depeng Xu and Aidong Lu |
| 3027 | HOVER: Homophilic Oversampling via Edge Removal for Class-Imbalanced Bot Detection on Graphs | Bradley Ashmore and Lingwei Chen |
| 3031 | Multi-step Prompting for Few-shot Emotion-Grounded Conversations | Mauzama Firdaus, Gopendra Singh, Asif Ekbal and Pushpak Bhattacharyya |
| 3036 | DynED: Dynamic Ensemble Diversification in Data Stream Classification | Soheil Abadifard, Sepehr Bakhshi, Sanaz Gheibuni and Fazli Can |
| 3045 | T-SaS: Toward shift-aware dynamic adaptation for streaming data | Weijieying Ren, Tianxiang Zhao, Wei Qin and Kunpeng Liu |
| 3048 | Efficient Variant Calling on Human Genome Sequences Using a GPU-Enabled Commodity Cluster | Manas Das, Khawar Shehzad and Praveen Rao |
| 3050 | Lightweight Adaptation of Neural Language Models via Subspace Embedding | Amit Kumar Jaiswal and Haiming Liu |
| 3054 | Noisy Perturbations for Estimating Query Difficulty in Dense Retrievers | Negar Arabzadeh, Radin Hamidi Rad, Maryam Khodabakhsh and Ebrahim Bagheri |
| 3081 | MTKDN: Multi-Task Knowledge Disentanglement Network for Recommendation | Haotian Wu, Bowen Xing and Ivor Tsang |
| 3083 | TCCM: Time and Content-aware Causal Model for Unbiased News Recommendation | Yewang Chen, Weiyao Ye, Guipeng Xv, Chen Lin and Xiaomin Zhu |
| 3085 | Leveraging Knowledge and Reinforcement Learning for Enhanced Reliability of Foundational Language Models | Nancy Tyagi, Surjodeep Sarkar and Manas Gaur |
| 3088 | Synergistic Disease Similarity Measurement via Unifying Hierarchical Relation Perception and Association Capturing | Zihao Gao, Huifang Ma, Yike Wang, Zhixin Li and Liang Chang |
| 3090 | Exploring Cohesive Subgraphs in Hypergraphs: The (k,g)-core Approach | Dahee Kim, Junghoon Kim, Sungsu Lim and Hyun Ji Jeong |
| 3095 | Training Heterogeneous Graph Neural Networks using Bandit Sampling | Ta-Yang Wang, Rajgopal Kannan and Viktor Prasanna |
| 3100 | Explainable and Accurate Natural Language Understanding for Voice Assistants and Beyond | Kalpa Gunaratna, Vijay Srinivasan and Hongxia Jin |
| 3105 | Personalized Interest Sustainability Modeling for Sequential POI Recommendation | Zewen Long, Liang Wang, Qiang Liu and Shu Wu |
| 3116 | SAFE: Sequential Attentive Face Embedding with Contrastive Learning for Deepfake Video Detection | Juho Jung, Chaewon Kang, Jeewoo Yoon, Simon S. Woo and Jinyoung Han |
| 3120 | S:Mixup: Structural Mixup for Graph Neural Networks | Junghurn Kim, Sukwon Yun and Chanyoung Park |
| 3131 | Test-Time Embedding Normalization for Popularity Bias Mitigation | Dain Kim, Jinhyeok Park and Dongwoo Kim |
| 3132 | Understanding the Multi-vector Dense Retrieval Models | Qi Liu and Jiaxin Mao |
| 3139 | Boosting Meta-learning Cold-start Recommendation with Graph Neural Network | Han Liu, Hongxiang Lin, Xiaotong Zhang, Fenglong Ma, Hongyang Chen, Lei Wang, Hong Yu and Xianchao Zhang |
| 3153 | Reconciling Training and Evaluation Objectives in Location Agnostic Surrogate Explainers | Matt Clifford, Jonathan Erksine, Alexander Hepburn, Peter Flach and Raúl Santos-Rodríguez |
| 3154 | XuanYuan 2.0: A Large Chinese Financial Chat Model with Hundreds of Billions Parameters | Xuanyu Zhang and Qing Yang |
| 3166 | On the Reliability of User Feedback for Evaluating Quality of Conversational Agents | Jordan Massiah, Emine Yilmaz, Yunlong Jiao and Gabriella Kazai |
| 3171 | Homogeneous Cohort-Aware Group Cognitive Diagnosis: A Multi-grained Modeling Perspective | Shuhuan Liu, Xiaoshan Yu, Haiping Ma, Ziwen Wang, Chuan Qin and Xingyi Zhang |
| 3184 | Satisfaction-Aware User Interest Network for Click-Through Rate Prediction | Wen Shi, Mao Pan, Kun Zhou, Zheng Li, Dongyue Wang, Zhuoye Ding, Xiwei Zhao and Sulong Xu |
| 3190 | Learning Visibility Attention Graph Representation for Time Series Forecasting | Shengzhong Mao and Xiao-Jun Zeng |
Tutorial Proposals
| 3212 | Proactive Streaming Analytics at Scale: A Journey from the State-of-the-art to a Production Platform | Nikos Giatrakos, Elias Alevizos, Antonios Deligiannakis, Ralf Klinkenberg and Alexander Artikis |
| 3214 | Application of Deep Clustering Algorithms | Collin Leiber, Lukas Miklautz, Claudia Plant and Christian Böhm |
| 3216 | Some Useful Things to Know When Combining IR and NLP: the Easy, the Hard and the Ugly | Omar Alonso and Kenneth Church |
| 3217 | Uplift Modeling: from Causal Inference to Personalization | Felipe Moraes, Hugo Manuel Proença, Anastasiia Kornilova, Javier Albert and Dmitri Goldenberg |
| 3219 | Tutorial: Data Denoising Metrics in Recommender Systems | Pengfei Wang, Chenliang Li, Lixin Zou, Zhichao Feng, Kaiyuan Li, Xiaochen Li, Xialong Liu and Shangguang Wang |
| 3220 | Data Augmentation for Conversational AI | Heydar Soudani, Evangelos Kanoulas and Faegheh Hasibi |
| 3222 | Reasoning beyond Triples: Recent Advances in Knowledge Graph Embeddings | Bo Xiong, Mojtaba Nayyeri, Daniel Daza and Michael Cochez |
| 3227 | Leveraging Graph Neural Networks for User Profiling: Recent Advances and Open Challenges | Erasmo Purificato, Ludovico Boratto and Ernesto William De Luca |
| 3235 | Tutorial on User Simulation for Evaluating Information Access Systems | Krisztian Balog and Chengxiang Zhai |
Workshop Proposals
| 397 | IoTBDH-2023: The 5th International Workshop on Internet of Things of Big Data for Healthcare | Jun Qi, Hongqing Yu, Po Yang, Yun Yang and Zhibo Pang |
| 3204 | Knowledge-driven Analytics and Systems Impacting Human Quality of Life - Neurosymbolic AI, Explainable AI and Beyond | Joao Gama, Arijit Ukil, Antonio J. Jara and Leandro Marin |
| 3207 | Workshop on Enterprise Knowledge Graphs using Large Language Models | Rajeev Gupta and Srinath Srinivasa |
| 3208 | International Workshop on Edge-Cloud Intelligence (ECI@CIKM2023) | Lianyong Qi, Xuyun Zhang, Xiaolong Xu and Wenwen Gong |
| 3209 | DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval | Xin Xin, Xiangyu Zhao, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin and Grace Hui Yang |
| 3210 | The 1st Workshop on Recommendation with Generative Models | Wenjie Wang, Yong Liu, Yang Zhang, Weiwen Liu, Fuli Feng, Xiangnan He and Aixin Sun |
| 3215 | Anomaly and Novelty detection for Satellite and Drone systems (ANSD '23) | Shahroz Tariq, Daewon Chung, Simon Woo and Youjin Shin |
| 3223 | MODIMO: Workshop on Multi-Omics Data Integration for Modelling Biological Systems (2nd Edition) | Marco Beccuti, Vincenzo Bonnici, Rosalba Giugno, Simone Pernice and Simone Avesani |
| 3229 | The 3rd International Workshop on Mining and Learning in the Legal Domain | Masoud Makrehchi, Dell Zhang, Alina Petrova and John Armour |
| 3232 | MUWS'2023: The 2nd International Workshop on Multimodal Human Understanding for the Web and Social Media | Gullal S. Cheema, Sherzod Hakimov, Marc A. Kastner and Noa Garcia |
| 3234 | Workshop On Large Language Models' Interpretability and Trustworthiness (LLMIT) | Tulika Saha, Debasis Ganguly, Sriparna Saha and Prasenjit Mitra |
| 3237 | Workshop on Document Intelligence Understanding | Caren Han, Yihao Ding, Siwen Luo, Josiah Poon, Heeguen Yoon, Zhe Huang, Paul Duuring and Eun-Jung Holden |
| 3239 | Info-Wild: Knowledge Extraction and Management for Wildlife Conservation | Prasenjit Mitra, Shreya Ghosh, Bistra Dilkina and Thomas M¨uller |
| 3240 | The First Workshop on Personalized Generative AI: Personalization Meets Large Language Models |