Monday 23rd October PROGRAMME
Below you can download the PDF version of Monday's programme.
| 08:30am - 9:00am - Affinity 2 Opening (Hybrid) | ||||||||
| 9:00am - 10:00am - Affinity 2 Keynote 1 (Hybrid) -- Chirag Shah: Generative AI and the Future of Information Access | ||||||||
| Refreshment Break - Affinity 1 10:00am - 10:30am | ||||||||
| Session 1 - 10:30am - 12:30pm | ||||||||
| Session 1A - Recommendation 1 - Affinity 2 | ||||||||
| Chair - Mounia Lalmas 10:30am - 10:45am CDR: Conservative Doubly Robust Learning for Debiased Recommendation by Zijie Song, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen and Can Wang 10:45am - 11:00am Decentralized Graph Neural Network for Privacy-Preserving Recommendation by Xiaolin Zheng, Zhongyu Wang, Chaochao Chen, Jiashu Qian and Yao Yang 11:00am - 11:15am Federated News Recommendation with Fine-grained Interpolation and Dynamic Clustering by Sanshi Lei Yu, Qi Liu, Fei Wang, Yang Yu and Enhong Chen 11:15am - 11:30am G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer by Yuchen Zhuang, Xin Shen, Yan Zhao, Chaosheng Dong, Ming Wang, Jin Li and Chao Zhang 11:30am - 11:45am Graph Enhanced Hierarchical Reinforcement Learning for Goal-oriented Learning Path Recommendation by Qingyao Li, Wei Xia, Li'Ang Yin, Jian Shen, Renting Rui, Weinan Zhang, Xianyu Chen, Ruiming Tang and Yong Yu 11:45am - 12:00pm Post-hoc Selection of Pareto-Optimal Solutions in Search and Recommendation by Vincenzo Paparella, Vito Walter Anelli, Franco Maria Nardini, Raffaele Perego and Tommaso Di Noia 12:00pm - 12:15pm Scalable Neural Contextual Bandit for Recommender Systems by Zheqing Zhu and Benjamin Van Roy 12:15pm - 12:30pm Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation by Xin Xia, Junliang Yu, Guandong Xu and Hongzhi Yin | ||||||||
| Session 1B - CTR & Ads I - Belmont 1 | ||||||||
| Chair - Fanny Ye, University of Notre Dame 10:30am - 10:45am Combating ad fatigue via frequency-recency features in online advertising systems by Natalia Silberstein, Or Shoham and Assaf Klein 10:45am - 11:00am Masked Multi-Domain Network: Multi-Type and Multi-Scenario Conversion Rate Prediction with a Single Model by Wentao Ouyang, Xiuwu Zhang, Chaofeng Guo, Shukui Ren, Yupei Sui, Kun Zhang, Jinmei Luo, Yunfeng Chen, Dongbo Xu, Xiangzheng Liu and Yanlong Du 11:00am - 11:15am MEBS: Multi-task End-to-end Bid Shading for Multi-slot Display Advertising by 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 11:15am - 11:30am Practice on Effectively Extracting NLP Features for Click-Through Rate Prediction by Hao Yang, Ziliang Wang, Weijie Bian, Zhefeng Sun and Yifan Zeng 11:30am - 11:45am Dynamic Group Parameter Modeling for Click-Through-Rate Prediction by Xuan Ma, Jian Wang, Zhiyuan Chen, Zehua Zhang, Jie He, Changping Peng, Zhangang Lin and Jingping Shao 11:45am - 12:00pm DFFM: Domain Facilitated Feature Modeling for CTR Prediction by Xuan Ma, Jian Wang, Zhiyuan Chen, Zehua Zhang, Jie He, Changping Peng, Zhangang Lin and Jingping Shao 12:00pm - 12:15pm Entire Space Cascade Delayed Feedback Modeling for Effective Conversion Rate Prediction by Yunfeng Zhao, Xu Yan, Xiaoqiang Gui, Shuguang Han, Xiang-Rong Sheng, Guoxian Yu, Jufeng Chen, Zhao Xu and Bo Zheng 12:15pm - 12:30pm Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao by Jingyue Gao, Shuguang Han, Han Zhu, Siran Yang, Yuning Jiang, Jian Xu and Bo Zheng | ||||||||
| Session 1C - Graphs - Belmont 2 | ||||||||
| 10:30am - 10:45am Voucher Abuse Detection with Prompt-based Fine-tuning on Graph Neural Networks by Zhihao Wen, Yuan Fang, Yihan Liu, Yang Guo and Shuji Hao 10:45am - 11:00am Graph Learning for Exploratory Query Suggestions in an Instant Search System by 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 11:00am - 11:15am FAF: A Risk Detection Framework on Industry-Scale Graphs by Yice Luo, Guannan Wang, Yongchao Liu, Jiaxin Yue, Weihong Cheng and Binjie Fei 11:15am - 11:30am Dual Interests-Aligned Graph Auto-Encoders for Cross-domain Recommendation in WeChat by Yice Luo, Guannan Wang, Yongchao Liu, Jiaxin Yue, Weihong Cheng and Binjie Fei 11:30am - 11:45am Enhancing Catalog Relationship Problems with Heterogeneous Graphs and Graph Neural by Boxin Du, Rob Barton, Grant Galloway, Junzhou Huang, Shioulin Sam, Ismail Tutar and Changhe Yuan Networks Distillation 11:45am - 12:00pm GBTTE: Graph Attention Network Based Bus Travel Time Estimation by Boxin Du, Rob Barton, Grant Galloway, Junzhou Huang, Shioulin Sam, Ismail Tutar and Changhe Yuan 12:00pm - 12:15pm Logistics Audience Expansion via Temporal Knowledge Graph by Hua Yan, Yingqiang Ge, Haotian Wang, Desheng Zhang and Yu Yang 12:15pm - 12:30pm Multi-gate Mixture-of-Contrastive-Experts with Graph-based Gating Mechanism for TV by Cong Zhang, Dongyang Liu, Lin Zuo, Junlan Feng, Chao Deng, Jian Sun, Haitao Zeng and Yaohong Zhao Recommendation | ||||||||
| Session 1D - Interpretability 1 - Belmont 3 | ||||||||
| Chair - Jiaoyan Chen 10:30am - 10:45am A Model-Agnostic Method to Interpret Link Prediction Evaluation of Knowledge Graph Embeddings by Narayanan Asuri Krishnan and Carlos R. Rivero 10:45am - 11:00am Attacking Neural Networks with Neural Networks: Towards Deep Synchronization for Backdoor Attacks by Zihan Guan, Lichao Sun, Mengnan Du and Ninghao Liu 11:00am - 11:15am CANDY: A Causality-Driven Model for Hotel Dynamic Pricing by Ruitao Zhu, Wendong Xiao, Yao Yu, Yizhi Yu, Zhenzhe Zheng, Ke Bu, Dong Li and Fan Wu 11:15am - 11:30am Causality-guided Graph Learning for Session-based Recommendation by Dianer Yu, Qian Li, Hongzhi Yin and Guandong Xu 11:30am - 11:45am Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems by Guanglin Zhou, Chengkai Huang, Xiaocong Chen, Xiwei Xu, Chen Wang, Liming Zhu and Lina Yao 11:45am - 12:00pm KG4Ex: A Knowledge Graph-Based Approach for Exercise Recommendation by Quanlong Guan, Fang Xiao, Xinghe Cheng, Liangda Fang, Ziliang Chen, Guanliang Chen and Weiqi Luo 12:00pm - 12:15pm Rule-based Knowledge Graph Completion with Canonical Models by Simon Ott, Patrick Betz, Daria Stepanova, Mohamed H. Gad-Elrab, Christian Meilicke and Heiner Stuckenschmidt 12:15pm - 12:30pm Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction by Fangye Wang, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang and Ning Gu | ||||||||
| Session 1E - Urban Informatics 1 - Meeting Room 2 | ||||||||
| Chair - Reynold Cheng, University of Hong Kong 10:30am - 10:45am Timestamps as Prompts for Geography-Aware Location Recommendation by Yan Luo, Haoyi Duan, Ye Liu and Fu-Lai Chung 10:45am - 11:00am CARPG: Cross-City Knowledge Transfer for Traffic Accident Prediction via Attentive Region-level Parameter Generation by Guang Yang, Yuequn Zhang, Jinquan Hang, Xinyue Feng, Zejun Xie, Desheng Zhang and Yu Yang 11:00am - 11:15am CLSPRec: Contrastive Learning of Long and Short-term Preferences for Next POI Recommendation by Chenghua Duan, Wei Fan, Wei Zhou, Hu Liu and Junhao Wen 11:15am - 11:30am Cross-city Few-Shot Traffic Forecasting via Traffic Pattern Bank by Zhanyu Liu, Guanjie Zheng and Yanwei Yu 11:30am - 11:45am Cross-Scenario Maneuver Decision with Adaptive Perception for Autonomous Driving by Yuan Fu, Shuncheng Liu, Yuyang Xia, Fangda Guo and Kai Zheng 11:45am - 12:00pm HST-GT:Heterogeneous Spatial-Temporal Graph Transformer for Delivery Time Estimation in Warehouse-Distribution Integration E-Commerce by Xiaohui Zhao, Shuai Wang, Hai Wang, Tian He, Desheng Zhang and Guang Wang 12:00pm - 12:15pm MLPST: MLP is All You Need for Spatio-Temporal Prediction by Zijian Zhang, Ze Huang, Zhiwei Hu, Xiangyu Zhao, Wanyu Wang, Zitao Liu, Junbo Zhang, S. Joe Qin and Hongwei Zhao 12:15pm - 12:30pm Target-Oriented Maneuver Decision for Autonomous Vehicle: A Rule-Aided Reinforcement Learning Framework by Ximu Zeng, Quanlin Yu, Shuncheng Liu, Yuyang Xia, Han Su and Kai Zheng | ||||||||
| Session 1F - Graph Learning 1 - Ashtead 1 | ||||||||
| Chair - Trung Kien Tran 10:30am - 10:45am AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange by Liang Zeng, Jin Xu, Zijun Yao, Yanqiao Zhu and Jian Li 10:45am - 11:00am Contrastive Representation Learning Based on Multiple Node-centered Subgraphs by Dong Li, Wenjun Wang, Minglai Shao and Chen Zhao 11:00am - 11:15am DPGN: Denoising Periodic Graph Network for Life Service Recommendation by Hao Xu, Huixuan Chi, Danyang Liu, Sheng Zhou and Mengdi Zhang 11:15am - 11:30am DYANE: DYnamic Attributed NEtwork Generative Model by Giselle Zeno and Jennifer Neville 11:30am - 11:45am GraphFADE: Field-aware Decorrelation Neural Network for Graphs with Tabular Features by Junhong Wan, Yao Fu, Junlan Yu, Weihao Jiang, Shiliang Pu and Ruiheng Yang 11:45am - 12:00pm How Expressive are Graph Neural Networks in Recommendation? by Xuheng Cai, Lianghao Xia, Xubin Ren and Chao Huang 12:00pm - 12:15pm Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs by Haozhen Zhang, Xueting Han, Xi Xiao and Jing Bai 12:15pm - 12:30pm A Multi-Modality Framework for Drug-Drug Interaction Prediction by Harnessing Multi-source Data by Qianlong Wen, Jiazheng Li, Chuxu Zhang and Yanfang Ye | ||||||||
| Session 1G - Natural Language 1 - Ashtead 2 | ||||||||
| Chair - Nishanth Sastry 10:30am - 10:45am Diving into a Sea of Opinions: Multi-modal Abstractive Summarization with Comment Sensitivity by Raghvendra Kumar, Ratul Chakraborty, Abhishek Tiwari, Sriparna Saha and Naveen Saini 10:45am - 11:00am GranCATs: Cross-lingual Enhancement through Granularity-Specific Contrastive Adapters by Meizhen Liu, Jiakai He, Xu Guo, Jianye Chen, Siu Cheung Hui and Fengyu Zhou 11:00am - 11:15am Inducing Causal Structure for Abstractive Text Summarization by Lu Chen, Ruqing Zhang, Wei Huang, Wei Chen, Jiafeng Guo and Xueqi Cheng 11:15am - 11:30am James ate 5 oranges = Steve bought 5 pencils: Structure-Aware Denoising for Paraphrasing Word Problems by Rishabh Gupta, Venktesh V, Mukesh Mohania and Vikram Goyal 11:30am - 11:45am NOVO: A Dual-Learnable and Interpretable Identifier for Model-Based IR by Zihan Wang, Yujia Zhou, Yiteng Tu and Zhicheng Dou 11:45am - 12:00pm Rethinking Sentiment Analysis under Uncertainty by Yuefei Wu, Bin Shi, Jiarun Chen, Yuhang Liu, Bo Dong, Qinghua Zheng and Hua Wei 12:00pm - 12:15pm Sentiment-aware Review Summarization with Personalized Multi-task Fine-tuning by Hongyan Xu, Hongtao Liu, Zhepeng Lv, Qing Yang and Wenjun Wang | ||||||||
| Session 1H - Search - Ashtead 3 | ||||||||
| Chair - Negin Rahimi 10:30am - 10:45am Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method by Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan and Xueqi Cheng 10:45am - 11:00am Continual Learning for Generative Retrieval over Dynamic Corpora by Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan and Xueqi Cheng 11:00am - 11:15am I^3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval by Qian Dong, Yiding Liu, Qingyao Ai, Haitao Li, Shuaiqiang Wang, Yiqun Liu, Dawei Yin and Shaoping Ma 11:15am - 11:30am L^2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations by Yinqiong Cai, Keping Bi, Yixing Fan, Jiafeng Guo, Wei Chen and Xueqi Cheng 11:30am - 11:45am LambdaRank Gradients are Incoherent by Federico Marcuzzi, Claudio Lucchese and Salvatore Orlando 11:45am - 12:00pm Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank by Jiarui Jin, Xianyu Chen, Weinan Zhang, Mengyue Yang, Yang Wang, Yali Du, Yong Yu and Jun Wang 12:00pm - 12:15pm Search Result Diversification Using Query Aspects as Bottlenecks by Puxuan Yu, Negin Rahimi, Zhiqi Huang and James Allan 12:15pm - 12:30pm VILE: Block-Aware Visual Enhanced Document Retrieval by Huaying Yuan, Zhicheng Dou, Yujia Zhou, Yu Guo and Jirong Wen | ||||||||
| Lunch Break and Posters/ Demos - Affinity 1 12:30pm - 2:00pm | ||||||||
| Session 2 - 2:00pm - 4:00pm | ||||||||
| Session 2A - Recommendation 2 - Affinity 2 | ||||||||
| 2:00pm - 2:15pm AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation by Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jaeboum Kim, Kai Zhang, Senzhang Wang, Xing Xie and Sunghun Kim 2:15pm - 2:30pm AutoSeqRec: Autoencoder for Efficient Sequential Recommendation by Sijia Liu, Jiahao Liu, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang and Ning Gu 2:30pm - 2:45pm Deep Generative Imputation Model for Missing Not At Random Data by Jialei Chen, Yuanbo Xu, Pengyang Wang and Yongjian Yang 2:45pm - 3:00pm Diffusion Augmentation for Sequential Recommendation by Qidong Liu, Fan Yan, Xiangyu Zhao, Zhaocheng Du, Huifeng Guo, Ruiming Tang and Feng Tian 3:00pm - 3:15pm Dual-view Contrastive Learning for Auction Recommendation by Danni Ren, Leong Hou U and Wei Liu 3:15pm - 3:30pm Self-supervised Contrastive Enhancement with Symmetric Few-shot Learning Towers for Cold-start News Recommendation by Hao Jiang, Chuanzhen Li, Juanjuan Cai, Runyu Tian and Jingling Wang 3:30pm - 3:45pm Sequential Recommendation via an Adaptive Cross-Domain Knowledge Decomposition by Chuang Zhao, Xinyu Li, Ming He, Hongke Zhao and Jianping Fan 3:45pm - 4:00pm UniTE: A Unified Treatment Effect Estimation Method for One-Sided and Two-Sided Marketing by Runshi Liu and Zhipeng Hou | ||||||||
| Session 2B - Recommender Systems - Belmont 1 | ||||||||
| 2:00pm - 2:15pm Multitask Ranking System for Immersive Feed and No MoreClicks: A Case Study of Short-Form Video Recommendation by Qingyun Liu, Zhe Zhao, Liang Liu, Zhen Zhang, Junjie Shan, Yuening Li, Shuchao Bi, Lichan Hong and Ed Chi 2:15pm - 2:30pm Graph Exploration Matters: Improving both individual-level and system-level diversity in WeChat Feed Recommendation by Shuai Yang, Lixin Zhang, Feng Xia and Leyu Lin 2:30pm - 2:45pm Leveraging Watch-time Feedback for Short-Video Recommendations: A Causal Labeling Framework by Yang Zhang, Yimeng Bai, Jianxin Chang, Xiaoxue Zang, Song Lu, Jing Lu, Fuli Feng, Yanan Niu and Yang Song 2:45pm - 3:00pm 3MN: Three Meta Networks for Multi-Scenario and Multi-Task Learning in Online Advertising Recommender Systems by Yifei Zhang, Hua Hua, Hui Guo, Shuangyang Wang, Chongyu Zhong and Shijie Zhang 3:00pm - 3:15pm SHARK: A Lightweight Model Compression Approach for Large-scale Recommender Systems by Yifei Zhang, Hua Hua, Hui Guo, Shuangyang Wang, Chongyu Zhong and Shijie Zhang 3:15pm - 3:30pm Popularity-aware Distributionally Robust Optimization for Recommendation System by Jujia Zhao, Wenjie Wang, Xinyu Lin, Leigang Qu, Jizhi Zhang and Tat-Seng Chua 3:30pm - 3:45pm BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Search and Recommendation Models on Commodity CPU Hardware by 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 3:45pm - 4:00pm An Incremental Update Framework for Online Recommenders with Data-Driven Prior by 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 | ||||||||
| Session 2C - Forecasting / Time Series / Spatio-temporal - Belmont 2 | ||||||||
| 2:00pm - 2:15pm Continual Learning in Predictive Autoscaling by Hongyan Hao, Zhixuan Chu, Shiyi Zhu, Gangwei Jiang, Yan Wang, Caigao Jiang, James Zhang, Wei Jiang, Siqiao Xue and Jun Zhou 2:15pm - 2:30pm Nowcast-to-Forecast: Token-Based Multiple Remote Sensing Data Fusion for Precipitation Forecast by Hongyan Hao, Zhixuan Chu, Shiyi Zhu, Gangwei Jiang, Yan Wang, Caigao Jiang, James Zhang, Wei Jiang, Siqiao Xue and Jun Zhou 2:30pm - 2:45pm Generating Product Insights from Community Q&A by Lital Kuchy, Ran Levy, Avihai Mejer, Noam Segev, Shunit Agmon and Miriam Farber 3:00pm - 3:15pm DeepSTA: A Spatial-Temporal Attention Network for Logistics Delivery Timely Rate Prediction in Anomaly Conditions by Jinhui Yi, Huan Yan, Haotian Wang, Jian Yuan and Yong Li 3:15pm - 3:30pm STREAMS: Towards Spatio-Temporal Causal Discovery with Reinforcement Learning for Streamflow Rate Prediction by Paras Sheth, Ahmadreza Mosallanezhad, Kaize Ding, Reepal Shah, John Sabo, Huan Liu and K. Selçuk Candan 3:30pm - 3:45pm Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data by Zhichao Chen, Leilei Ding, Hao Wang, Zhixuan Chu, Yucheng Qi and Jianmin Huang 3:45pm - 4:00pm Climate Intervention Analysis using AI Model Guided by Statistical Physics Principles by Sookyung Kim, Kalai Ramea, Salva Rühling Cachay, Haruki Hirasawa, Subhashis Hazarika, Dipti Hingmire, Peetak Mitra, Philip J. Rasch and Hansi Singh | ||||||||
| Session 2D - Sequence Modelling 1 - Belmont 3 | ||||||||
| Chair - Xu Guo, NTU 2:00pm - 2:15pm A Co-training Approach for Noisy Time Series Learning by Weiqi Zhang, Jianfeng Zhang, Jia Li and Fugee Tsung 2:15pm - 2:30pm Bi-channel Multiple Sparse Graph Attention Networks for Session-based Recommendation by Shutong Qiao, Wei Zhou, Junhao Wen, Hongyu Zhang and Min Gao 2:30pm - 2:45pm FATA-Trans: Field and Time-Aware Transformer for Sequential Tabular Data by Dongyu Zhang, Liang Wang, Xin Dai, Shubham Jain, Junpeng Wang, Yujie Fan, Chin-Chia Michael Yeh, Yan Zheng, Zhongfang Zhuang and Wei Zhang 2:45pm - 3:00pm Non-Compliant Bandits by Branislav Kveton, Yi Liu, Matteo Kruijssen and Yisu Nie 3:00pm - 3:15pm RLIFE: Remaining Lifespan Prediction for E-scooters by Shuxin Zhong, William Yubeaton, Wenjun Lyu, Guang Wang, Desheng Zhang and Yu Yang 3:15pm - 3:30pm Spatial-temporal Graph Boosting Network: Enhancing Spatial-temporal Graph Neural Networks via Gradient Boosting by Yujie Fan, Chin-Chia Michael Yeh, Huiyuan Chen, Yan Zheng, Liang Wang, Junpeng Wang, Xin Dai, Zhongfang Zhuang and Wei Zhang 3:30pm - 3:45pm Unleashing the Power of Shared Label Structures for Human Activity Recognition by Xiyuan Zhang, Ranak Roy Chowdhury, Jiayun Zhang, Dezhi Hong, Rajesh Gupta and Jingbo Shang | ||||||||
| Session 2E - Graph Learning 2 - Meeting Room 2 | ||||||||
| Chair - Anthony Colas, University of Florida 2:00pm - 2:15pm Causality and Independence Enhancement for Biased Node Classification by Guoxin Chen, Yongqing Wang, Fangda Guo, Qinglang Guo, Jiangli Shao, Huawei Shen and Xueqi Cheng 2:15pm - 2:30pm Cognitive-inspired Graph Redundancy Networks for Multi-source Information Fusion by Yao Fu, Junhong Wan, Junlan Yu, Weihao Jiang and Shiliang Pu 2:30pm - 2:45pm Learning Node Abnormality with Weak Supervision by Qinghai Zhou, Kaize Ding, Huan Liu and Hanghang Tong 2:45pm - 3:00pm Liberate Pseudo Labels from Over-Dependence: Label Information Migration on Sparsely Labeled Graphs by Zhihui Hu, Yao Fu, Hong Zhao, Xiaoyu Cai, Weihao Jiang and Shiliang Pu 3:00pm - 3:15pm Low-bit Quantization for Deep Graph Neural Networks with Smoothness-aware Message Propagation by Shuang Wang, Bahaeddin Eravci, Rustam Guliyev and Hakan Ferhatosmanoglu 3:15pm - 3:30pm Modeling Sequential Collaborative User Behaviors for Seller-aware Next Basket Recommendation by Ziyi Kou, Saurav Manchanda, Shih-Ting Lin, Min Xie, Haixun Wang and Xiangliang Zhang 3:30pm - 3:45pm On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks by Jhony H. Giraldo, Konstantinos Skianis, Thierry Bouwmans and Fragkiskos Malliaros 3:45pm - 4:00pm Robust Graph Clustering via Meta Weighting for Noisy Graphs by Hyeonsoo Jo, Fanchen Bu and Kijung Shin | ||||||||
| Session 2F - Knowledge Discovery - Ashtead 1 | ||||||||
| Chair - Bo Xiong 2:00pm - 2:15pm A Momentum Loss Reweighting Method for Improving Recall by Chenzhi Jiang, Ningtao Wang, Ruofan Wu, Yin Jin, Xing Fu and Weiqiang Wang 2:15pm - 2:30pm CLOCK: Online Temporal Hierarchical Framework for Multi-scale Multi-granularity Forecasting of User Impression by Xiaoyu Wang, Yonghui Guo, Xiaoyang Ma, Dongbo Huang, Lan Xu, Haisheng Tan, Hao Zhou and Xiang-Yang Li 2:30pm - 2:45pm Delivery Optimized Discovery in Behavioral User Segmentation under Budget Constraint by Harshita Chopra, Atanu R Sinha, Sunav Choudhary, Ryan A Rossi, Paavan Indela, Veda Pranav Parwatala, Srinjayee Paul and Aurghya Maiti 2:45pm - 3:00pm Foreseer: Product Aspect Forecasting Using Temporal Graph Embedding by Zixuan Liu, Gaurush Hiranandani, Kun Qian, Edward W Huang, Yi Xu, Belinda Zeng, Karthik Subbian and Sheng Wang 3:00pm - 3:15pm Incremental Graph Classification by Class Prototype Construction and Augmentation by Yixin Ren, Li Ke, Dong Li, Hui Xue, Zhao Li and Shuigeng Zhou 3:15pm - 3:30pm Quantifying the Effectiveness of Advertising: A Bootstrap Proportion Test for Brand Lift Testing by Wanjun Liu, Xiufan Yu, Jialiang Mao, Xiaoxu Wu and Justin Dyer 3:30pm - 3:45pm Understanding and Modeling Collision Avoidance Behavior for Realistic Crowd Simulation by Zihan Yu, Guozhen Zhang, Yong Li and Depeng Jin | ||||||||
| Session 2G - Interpretability 2 - Ashtead 2 | ||||||||
| Chair - Stefan Heindorf 2:00pm - 2:15pm ACGAN-GNNExplainer: Auxiliary Conditional Generative Explainer for Graph Neural Networks by Yiqiao Li, Jianlong Zhou, Yifei Dong and Fang Chen 2:15pm - 2:30pm Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries by Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Kevin Li, Judy Hoffman and Duen Horng Chau 2:30pm - 2:45pm Deep Integrated Explanations by Oren Barkan, Yehonatan Elisha, Yuval Asher, Amit Eshel, Jonathan Weil and Noam Koenigstein 2:45pm - 3:00pm FINRule: Feature Interactive Neural Rule Learning by Lu Yu, Meng Li, Ya-Lin Zhang, Longfei Li and Jun Zhou 3:00pm - 3:15pm Flexible and Robust Counterfactual Explanations with Minimal Satisfiable Perturbations by Yongjie Wang, Hangwei Qian, Yongjie Liu, Wei Guo and Chunyan Miao 3:15pm - 3:30pm Heterogeneous Temporal Graph Neural Network Explainer by Jiazheng Li, Chunhui Zhang and Chuxu Zhang 3:30pm - 3:45pm PriSHAP: Prior-guided Shapley Value Explanations for Correlated Features by Guanyu Jiang, Fuzhen Zhuang, Bowen Song, Tianyi Zhang and Deqing Wang 3:45pm - 4:00pm RoCourseNet: Distributionally Robust Training of a Prediction Aware Recourse Model by Hangzhi Guo, Feiran Jia, Jinghui Chen, Anna Squicciarini and Amulya Yadav | ||||||||
| Session 2H - Privacy and Security 1 - Ashtead 3 | ||||||||
| Chair - Simon S. Woo, Sungkyunkwan University 2:00pm - 2:15pm Closed-form Machine Unlearning for Matrix Factorization by Shuijing Zhang, Jian Lou, Li Xiong, Xiaoyu Zhang and Jing Liu 2:15pm - 2:30pm GUARD: Graph Universal Adversarial Defense by Jintang Li, Jie Liao, Ruofan Wu, Liang Chen, Zibin Zheng, Jiawang Dan, Changhua Meng and Weiqiang Wang 2:30pm - 2:45pm Independent Distribution Regularization for Private Graph Embedding by Qi Hu and Yangqiu Song 2:45pm - 3:00pm Non-Uniform Adversarial Perturbations for Discrete Tabular Datasets by Jay Nandy, Jatin Chauhan, Rishi Saket and Aravindan Raghuveer 3:00pm - 3:15pm Online Efficient Secure Logistic Regression based on Function Secret Sharing by Jing Liu, Jamie Cui and Cen Chen 3:15pm - 3:30pm Towards Dynamic and Reliable Private Key Management for Hierarchical Access Structure in Decentralized Storage by Yifang Zhang, Mingyue Wang, Yu Guo and Fangda Guo 3:30pm - 3:45pm Transferable Structure-based Adversarial Attack of Heterogeneous Graph Neural Network by Yu Shang, Yudong Zhang, Jiansheng Chen, Depeng Jin and Yong Li | ||||||||
| Refreshment Break - Affinity 1 4:00pm - 4:30pm | ||||||||
| Session 3 - 4:30pm - 5:30pm | ||||||||
| Session 3A - Knowledge Discovery and Retrieval - Affinity 2 | ||||||||
| 4:30pm - 4:45pm Ontology Enrichment from Texts: A Biomedical Dataset for Concept Discovery and Placement by Hang Dong, Jiaoyan Chen, Yuan He and Ian Horrocks 4:45pm - 5:00pm GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation by Ji Qi, Jifan Yu, Teng Tu, Kunyu Gao, Yifan Xu, Xinyu Guan, Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li and Jie Tang 5:00pm - 5:15pm Towards Filling the Gap in Conversational Search: From Passage Retrieval to Conversational Response Generation by Weronika Łajewska and Krisztian Balog 5:15pm - 5:30pm Anserini Gets Dense Retrieval: Integration of Lucene's HNSW Indexes by Xueguang Ma, Tommaso Teofili and Jimmy Lin | ||||||||
| Session 3B - Users & Behaviour - Belmont 1 | ||||||||
| 4:30pm - 4:45pm Robust User Behavioral Sequence Representation via Multi-scale Stochastic Distribution Prediction by Chilin Fu, Weichang Wu, Xiaolu Zhang, Jun Hu, Jing Wang and Jun Zhou 4:45pm - 5:00pm Beyond Semantics: Learning a Behavior Augmented Relevance Model with Self-supervised Learning by Zeyuan Chen, Wei Chen, Jia Xu, Zhongyi Liu and Wei Zhang 5:00pm - 5:15pm PS-SA: An Efficient Self-Attention via Progressive Sampling for User Behavior Sequence Modeling by Jiacen Hu, Zhangming Chan, Yu Zhang, Shuguang Han, Siyuan Lou, Baolin Liu, Han Zhu, Yuning Jiang, Jian Xu and Bo Zheng 5:15pm - 5:30pm RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation by Ning Wu, Ming Gong, Linjun Shou, Jian Pei and Daxin Jiang | ||||||||
| Session 3C - Transfer Learning 1 - Belmont 2 | ||||||||
| Chair - Biao Yin, WPI 4:30pm - 4:45pm Adaptation Speed Analysis for Fairness-aware Causal Models by Yujie Lin, Chen Zhao, Minglai Shao, Xujiang Zhao and Haifeng Chen 4:45pm - 5:00pm Few-Shot Learning via Task-Aware Discriminant Local Descriptors Network by Leilei Yan, Fanzhang Li, Xiaohan Zheng and Li Zhang 5:00pm - 5:15pm Improving Adversarial Transferability via Frequency-Based Stationary Point Search by Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Qinghua Lu, Jun Shen and Kim-Kwang Raymond Choo 5:15pm - 5:30pm Knowledge-Aware Cross-Semantic Alignment for Domain-Level Zero-Shot Recommendation by Junji Jiang, Hongke Zhao, Ming He, Likang Wu, Kai Zhang and Jianping Fan | ||||||||
| Session 3D - Computer Vision 1 - Belmont 3 | ||||||||
| Chair - Preben Ness, Simula Research Laboratory 4:30pm - 4:45pm Hierarchical Multi-Label Classification with Partial Labels and Unknown Hierarchy by Suhyeon Jo, Donghyeok Shin, Byeonghu Na, JoonHo Jang and Il-Chul Moon 4:45pm - 5:00pm Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models by Zhongjie Duan, Chengyu Wang, Cen Chen, Jun Huang and Weining Qian 5:00pm - 5:15pm PCT-CycleGAN: Paired Complementary Temporal Cycle-Consistent Adversarial Networks for Radar-Based Precipitation Nowcasting by Jaeho Choi, Yura Kim, Kwang-Ho Kim, Sung-Hwa Jung and Ikhyun Cho 5:15pm - 5:30pm STAMINA (Spatial-Temporal Aligned Meteorological INformation Attention) and FPL (Focal Precip Loss): Advancements in Precipitation Nowcasting for Heavy Rainfall Events by Ping-Chia Huang, Yueh-Li Chen, Yi-Syuan Liou, Bing-Chen Tsai, Chun-Chieh Wu and Winston H. Hsu | ||||||||
| Session 3E - - User Modelling 1 - Meeting Room 2 | ||||||||
| Chair - Yao Zhang, Amazon Alexa AI 4:30pm - 4:45pm Continuous Personalized Knowledge Tracing: Modeling Long-Term Learning in Online Environments by Chunpai Wang and Shaghayegh Sahebi 4:45pm - 5:00pm Simulating Student Interactions with Two-stage Imitation Learning for Intelligent Educational Systems by Guanhao Zhao, Zhenya Huang, Yan Zhuang, Jiayu Liu, Qi Liu, Zhiding Liu, Jinze Wu and Enhong Chen 5:00pm - 5:15pm The Role of Unattributed Behavior Logs in Predictive User Segmentation by Atanu R Sinha, Harshita Chopra, Aurghya Maiti, Atishay Ganesh, Sarthak Kapoor, Saili Myana, Saurabh Mahapatra 5:15pm - 5:30pm Understanding User Immersion in Online Short Video Interaction by Zhiyu He, Shaorun Zhang, Peijie Sun, Jiayu Li, Xiaohui Xie, Min Zhang and Yiqun Liu | ||||||||
| Session 3F - Knowledge Representation 1 - Ashtead 1 | ||||||||
| Chair - Ingo Frommholz 4:30pm - 4:45pm A two-tier shared embedding method for review-based recommender systems by Zhen Yang, Junrui Liu, Tong Li, Di Wu, Shiqiu Yang and Huan Liu 4:45pm - 5:00pm Combining Inductive and Deductive Reasoning for Query Answering over Incomplete Knowledge Graphs by Medina Andresel, Daria Stepanova, Kien Tran, Csaba Domokos and Pasquale Minervini 5:00pm - 5:15pm Disentangled Interest importance aware Knowledge Graph Neural Network for Fund Recommendation by Ke Tu, Wei Qu, Zhengwei Wu, Zhiqiang Zhang, Zhongyi Liu, Yiming Zhao, Le Wu, Jun Zhou and Guannan Zhang 5:15pm - 5:30pm Reveal the Unknown: Out-of-Knowledge-Base Mention Discovery with Entity Linking by Hang Dong, Jiaoyan Chen, Yuan He, Yinan Liu and Ian Horrocks | ||||||||
| Session 3G - Sequence Modelling 2 - Ashtead 2 | ||||||||
| Chair - Christine Bauer, Paris Lodron University Salzburg 4:30pm - 4:45pm Muffin: Music Recommender System via Shuffle Invariant Training by Yunhak Oh, Sukwon Yun, Dongmin Hyun, Sein Kim and Chanyoung Park 4:45pm - 5:00pm Periodicity May Be Emanative: Hierarchical Contrastive Learning for Sequential Recommendation by Changxin Tian, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang and Jun Zhou 5:00pm - 5:15pm TPUF: Enhancing Cross-domain Sequential Recommendation via Transferring Pre-trained User Features by Yujia Ding, Huan Li, Ke Chen and Lidan Shou 5:15pm - 5:30pm Weak Regression Enhanced Lifelong Learning for Improved Performance and Reduced Training Data by Tong Liu, Xulong Wang, He Huang and Po Yang | ||||||||
| Session 3H - Recommendation 3 - Ashtead 3 | ||||||||
| Chair - Rodrygo Santos 4:30pm - 4:45pm Adaptive Multi-Modalities Fusion in Sequential Recommendation Systems by Hengchang Hu, Wei Guo, Yong Liu and Min-Yen Kan 4:45pm - 5:00pm Batch-Mix Negative Sampling for Learning Recommendation Retrievers by Yongfu Fan, Jin Chen, Yongquan Jiang, Defu Lian, Fangda Guo and Kai Zheng 5:00pm - 5:15pm Dimension Independent Mixup for Hard Negative Sample in Collaborative Filtering by Xi Wu, Liangwei Yang, Jibing Gong, Chao Zhou, Tianyu Lin, Xiaolong Liu and Philip S. Yu 5:15pm - 5:30pm printf: Preference Modeling Based on User Reviews with Item Images and Textual Information via Graph Learning by Hao Lun Lin, Jyun Yu Jiang, Pu Jen Cheng and Ming Hao Juan | ||||||||
| Poster/ Demo - Affinity 1 5:30pm - 7:15pm | ||||||||
| End of Day 1 - 7:15pm | ||||||||