Posters will be presented on:
Monday 23rd October
Poster Board Number | Paper Number | Paper Title |
1 | 30 | Contrastive Learning for Rumor Detection via Fitting Beta Mixture Model by Jiachen Ma, Jing Dai, Yong Liu, Meng Han and Chunyu Ai |
2 | 2334 | Graph Contrastive Learning with Graph Info-Min by En Meng and Yong Liu |
3 | 2456 | Network Embedding with Adaptive Multi-hop Contrast by En Meng and Yong Liu |
4 | 40 | Epidemiology-aware Deep Learning for Infectious Disease Dynamics Prediction by Mutong Liu, Yang Liu and Jiming Liu |
5 | 47 | Multi-Granularity Attention Model for Group Recommendation by Jianye Ji, Jiayan Pei, Shaochuan Lin, He Hengxu, Jia Jia, Ning Hu and Taotao Zhou |
6 | 2820 | CSPM: A Contrastive Spatiotemporal Preference Model for CTR Prediction in On-Demand Food Delivery Services by Guyu Jiang, Xiaoyun Li, Rongrong Jing, Ruoqi Zhao, Xingliang Ni, Guodong Cao and Ning Hu |
7 | 62 | Improving Diversity in Unsupervised Keyphrase Extraction with Determinantal Point Process by Mingyang Song, Huafeng Liu and Liping Jing |
8 | 137 | Knowledge-Enhanced Multi-Label Few-Shot Product Attribute-Value Extraction by Jiaying Gong, Wei-Te Chen and Hoda Eldardiry |
9 | 151 | Accessing Student Performance with Multi-granularity Attention from Online Classroom Dialogue by Jiahao Chen, Zitao Liu, Shuyan Huang, Yaying Huang, Xiangyu Zhao, Boyu Gao and Weiqi Luo |
10 | 647 | Counterfactual-Consistent Adversarial Learning for Recommender Systems by Jialin Liu, Zijian Zhang, Xiangyu Zhao and Jun Li |
11 | 181 | Quantum Split Learning for Privacy-Preserving Information Management by Soohyun Park, Hankyul Baek and Joongheon Kim |
12 | 2836 | Logarithmic Dimension Reduction for Quantum Neural Networks by Hankyul Baek, Soohyun Park and Joongheon Kim |
13 | 186 | A deep conditional generative approach for constrained community detection by Chaobo He, Junwei Cheng, Quanlong Guan, Xiang Fei, Hanchao Li and Yong Tang |
14 | 193 | Retrieval-Based Unsupervised Noisy Label Detection on Text Data by Peiyang Liu, Jinyu Wang, Lin Wang, Sen Wang, Yunlai Hao and Huihui Bai |
15 | 2697 | G-Meta: Distributed Meta Learning in GPU Clusters for Large Scale Recommender System by Youshao Xiao, Shangchun Zhao, Zhenglei Zhou, Zhaoxin Huan, Lin Ju, Xiaolu Zhang, Lin Wang and Jun Zhou |
16 | 2714 | DAE: Distribution-Aware Embedding for Numerical Features in Click-Through Rate Prediction by Bin Shen, Jingran Xu, Xu Min, Zeyu Ke, Yong He, Liang Zhang, Xin Dong and Linjian Mo |
17 | 2756 | MI-DPG: Decomposable Parameter Generation Network Based on Mutual Information for Multi-Scenario Recommendation by Wenzhuo Cheng, Ke Ding, Yong He, Liang Zhang, Linjian Mo and Xin Dong |
18 | 2861 | SeqGen: A Sequence Generator via User Side Information for Behavior Sparsity in Recommendation by Xu Min, Xiaolu Zhang, Bin Shen, Shuhan Wang, Yong He, Changsheng Li and Jun Zhou |
19 | 282 | Simplex2vec Backward: From Vectors Back to Simplicial Complex by Huixin Zhan, Kun Zhang, Zhong Chen and Victor Sheng |
20 | 315 | OnlineAutoClust: A Framework for Online Automated Clustering by Radwa El Shawi and Dmitri Rozgonjuk |
21 | 344 | Guidepost: Target-oriented Few-shot Transferring via Measuring Task Similarity by Zhipeng Zhou, Wei Gong and Haoquan Zhou |
22 | 363 | Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQA by Guanting Dong, Rumei Li, Sirui Wang, Yupeng Zhang, Yunsen Xian and Weiran Xu |
23 | 374 | Generating News-Centric Crossword Puzzles As A Constraint Satisfaction and Optimization Problem by Kaito Majima and Shotaro Ishihara |
24 | 991 | Adaptive Graph Neural Diffusion for Traffic Demand Forecasting by Yiling Wu, Xinfeng Zhang and Yaowei Wang |
25 | 1155 | Pseudo Triplet Networks for Classification Tasks with Cross-Source Feature Incompleteness by Cayon Liow, Cheng-Te Li, Chun-Pai Yang and Shou-De Lin |
26 | 2921 | Semi-supervised Curriculum Ensemble Learning for Financial Precision Marketing by Hsin-Yu Chen, Cheng-Te Li and Ting-Yu Chen |
27 | 1254 | Toward a Foundation Model for Time Series Data by 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 |
28 | 2417 | LEAD-ID: Language-Enhanced Denoising and Intent Distinguishing Graph Neural Network for Sponsored Search Broad Retrievals by Ran Wang, Xiao Zhou, Haorui Li, Qiang Liu, Xingxing Wang and Dong Wang |
29 | 3105 | Personalized Interest Sustainability Modeling for Sequential POI Recommendation by Zewen Long, Liang Wang, Qiang Liu and Shu Wu |
30 | 1263 | VN-Solver: Vision-based Neural Solver for Combinatorial Optimization over Graphs by Mina Samizadeh and Guangmo Tong |
31 | 1475 | Pre-training with Aspect-Content Text Mutual Prediction for Multi-Aspect Dense Retrieval by Xiaojie Sun, Keping Bi, Jiafeng Guo, Xinyu Ma, Fan Yixing, Hongyu Shan, Qishen Zhang and Zhongyi Liu |
32 | 1738 | Accelerating Concept Learning via Sampling by Alkid Baci and Stefan Heindorf |
33 | 2318 | Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting by Zhenwei Zhang, Xin Wang, Jingyuan Xie, Heling Zhang and Yuantao Gu |
34 | 2433 | Causal Discovery in Temporal Domain from Interventional Data by Peiwen Li, Yuan Meng, Xin Wang, Fang Shen, Yue Li, Jialong Wang and Wenwu Zhu |
35 | 2325 | Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting by Hangchen Liu, Zheng Dong, Renhe Jiang, Jiewen Deng, Jinliang Deng, Quanjun Chen and Xuan Song |
36 | 2326 | Leveraging Post-Click User Behaviors for Calibrated Conversion Rate Prediction Under Delayed Feedback in Online Advertising by Yuyao Guo, Xiang Ao, Qiming Liu and Qing He |
37 | 2337 | Segment Augmentation and Prediction Consistency Neural Network for Multi-label Unknown Intent Detection by Miaoxin Chen, Cao Liu, Boqi Dai, Hai-Tao Zheng, Ting Song, Jiansong Chen, Guanglu Wan and Rui Xie |
38 | 2362 | TemDep: Temporal Dependency Priority for Multivariate Time Series Prediction by Shu Liu, Jiaheng Wang, Jiamin Chen, Jianliang Gao and Yuhui Zhong |
39 | 2376 | Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems by Giacomo Medda, Francesco Fabbri, Mirko Marras, Ludovico Boratto and Gianni Fenu |
40 | 2380 | Self-supervised Learning and Graph Classification under Heterophily by Yilin Ding, Zhen Liu and Hao Hao |
41 | 2387 | Unsupervised Anomaly Detection & Diagnosis: A Stein Variational Gradient Descent Approach by Zhichao Chen, Leilei Ding, Zhixuan Chu, Jianmin Huang, Qingyang Dai and Hao Wang |
42 | 2390 | STRAP: A Spatio-Temporal Framework for Real Estate Apprisal by Hojoon Lee, Hawon Jeong, Byungkun Lee, Kyungyup Daniel Lee and Jaegul Choo |
43 | 2391 | Learning to Simulate Complex Physical Systems: a Case Study by Jiasheng Shi, Fu Lin and Weixiong Rao |
44 | 2393 | Geometric Matrix Completion via Sylvester Multi-Graph Neural Network by Boxin Du, Changhe Yuan, Fei Wang and Hanghang Tong |
45 | 2672 | Knowledge Graph Error Detection with Hierarchical Path Structure by Zhao Zhang, Fuwei Zhang, Fuzhen Zhuang and Yongjun Xu |
46 | 2958 | Clustering-property Matters: A Cluster-aware Network for Large Scale Multivariate Time Series Forecasting by Yuan Wang, Zezhi Shao, Tao Sun, Chengqing Yu, Yongjun Xu and Fei Wang |
47 | 2395 | Efficient Differencing of System-level Provenance Graphs by Yuta Nakamura, Iyad Kanj and Tanu Malik |
48 | 2396 | Product Entity Matching via Tabular Data by Ali Naeimabadi, Mir Tafseer Nayeem and Davood Rafiei |
49 | 2399 | A Joint Training-Calibration Framework for Test-Time Personalization with Label Shift in Federated Learning by Jian Xu and Shao-Lun Huang |
50 | 2415 | A Self-learning Resource-Efficient Re-Ranking Method for Clinical Trials Search by Maciej Rybinski, Vincent Nguyen and Sarvnaz Karimi |
51 | 2418 | FairGraph: Automated Graph Debiasing with Gradient Matching by Yezi Liu |
52 | 2443 | CORD: A Three-Stage Coarse-to-Fine Framework for RelationDetection in Knowledge Base Question Answering by Yanzeng Li, Sen Hu, Wenjuan Han and Lei Zou |
53 | 2458 | Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction by Yuanchen Bei, Hao Chen, Shengyuan Chen, Xiao Huang, Sheng Zhou and Feiran Huang |
54 | 2728 | Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction by Xinke Jiang, Dingyi Zhuang, Xianghui Zhang, Hao Chen, Jiayuan Luo and Xiaowei Gao |
55 | 2492 | RecRec: Algorithmic Recourse for Recommender Systems by Sahil Verma, Ashudeep Singh, Varich Boonsanong, John P. Dickerson and Chirag Shah |
56 | 2517 | Age-Aware Guidance via Masking-Based Attention in Face Aging by Junyeong Maeng, Kwanseok Oh and Heung-Il Suk |
57 | 2520 | AmpliBias: Mitigating Dataset Bias through Bias Amplification in Few-shot Learning for Generative Models by Donggeun Ko, Dongjun Lee, Namjun Park, Kyoungrae Noh, Hyeonjin Park and Jaekwang Kim |
58 | 2526 | Graph-based Alignment and Uniformity for Recommendation by Liangwei Yang, Zhiwei Liu, Chen Wang, Mingdai Yang, Xiaolong Liu, Jing Ma and Philip S. Yu |
59 | 2567 | Metapath-Based Data-Augmentation for Knowledge Graphs by Saurav Manchanda |
60 | 2570 | Simulating Users in Interactive Web Table Retrieval by Björn Engelmann, Timo Breuer and Philipp Schaer |
61 | 2583 | Sequential Text-based Knowledge Update with Self-Supervised Learning for Generative Language Models by Hao-Ru Sung, Ying-Jhe Tang, Yu-Chung Cheng, Pai-Lin Chen, Tsai-Yen Li and Hen-Hsen Huang |
62 | 2607 | Neural Disentanglement of Query Difficulty and Semantics by Sara Salamat, Negar Arabzadeh, Shirin Seyedsalehi, Amin Bigdeli, Morteza Zihayat and Ebrahim Bagheri |
63 | 3054 | Noisy Perturbations for Estimating Query Difficulty? in Dense Retrievers by Negar Arabzadeh, Radin Hamidi Rad, Maryam Khodabakhsh and Ebrahim Bagheri |
64 | 2612 | MC-DRE: Multi-Aspect Cross Integration for Drug Event/Entity Extraction by Jie Yang, Caren Han, Siqu Long, Josiah Poon and Goran Nenadic |
65 | 2619 | Forgetting-aware Linear Bias for Attentive Knowledge Tracing by Yoonjin Im, Eunseong Choi, Heejin Kook and Jongwuk Lee |
66 | 2622 | EdgeNet : Encoder-decoder generative Network for Auction Design in E-commerce Online Advertising by Guangyuan Shen, Shengjie Sun, Dehong Gao, Libin Yang, Wei Ning and Shi Yongping |
67 | 2625 | Slogan Generation with Description Informed by Jongeun Kim, Minchung Kim and Taehwan Kim |
68 | 2626 | Region-Wise Attentive Multi-View Representation Learning for Urban Region Embedding by Weiliang Chen and Qianqian Ren |
69 | 2627 | Neighborhood Homophily-based Graph Convolutional Network by Shengbo Gong, Jiajun Zhou, Chenxuan Xie and Qi Xuan |
70 | 2629 | You fre Not Alone in Battle: Combat Threat Analysis Using Attention Networks and a New Open Benchmark by Soo Yong Lee, Juwon Kim, Kiwoong Park, Dongkuk Ryu, Sangheun Shim and Kijung Shin |
71 | 2630 | POSPAN: Position-Constrained Span Masking for Language Model Pre-training by Zhenyu Zhang, Shen Lei, Yuming Zhao, Meng Chen and Xiaodong He |
72 | 2660 | HEPT Attack: Heuristic Perpendicular Trial for Hard-label Attacks under Limited Query Budgets by Qi Li, Xingyu Li, Xiaodong Cui, Keke Tang and Peican Zhu |
73 | 2662 | Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning by Tianmeng Yang, Min Zhou, Yujing Wang, Zhengjie Lin, Lujia Pan, Bin Cui and Yunhai Tong |
74 | 2667 | STGIN: Spatial-Temporal Graph Interaction Network for large-scale POI recommendation by Shaohua Liu, Yu Qi, Gen Li, Mingjian Chen, Teng Zhang, Jia Cheng and Jun Lei |
75 | 2803 | Deep Context Interest Network for Click-Through Rate Prediction by Xuyang Hou, Zhe Wang, Qi Liu, Tan Qu, Jia Cheng and Jun Lei |
76 | 3132 | Understanding the Multi-vector Dense Retrieval Models by Qi Liu and Jiaxin Mao |
Tuesday 24th October
Poster Board Number | Paper Number | Paper Title |
1 | 2676 | FCT-GAN: Enhancing Global Correlation of Table Synthesis via Fourier Transform by Zilong Zhao, Robert Birke and Lydia Y. Chen |
2 | 2677 | Differential Privacy in HyperNetworks for Personalized Federated Learning by Vaisnavi Nemala, Phung Lai and Nhathai Phan |
3 | 2681 | Geometry Interaction Augmented Graph Collaborative Filtering by Jie Xu and Chaozhuo Li |
4 | 2684 | Latent Aspect Detection via Backtranslation Augmentation by Farinam Hemmatizadeh, Christine Wong, Alice Yu and Hossein Fani |
5 | 2686 | A Flash Attention Transformer for Multi-Behaviour Recommendation by Tendai Mukande, Esraa Ali, Annalina Caputo, Ruihai Dong and Noel Edward O'Connor |
6 | 2687 | Learning Sparse Lexical Representations Over Specified Vocabularies for Retrieval by Jeffrey M. Dudek, Weize Kong, Cheng Li, Mingyang Zhang and Michael Bendersky |
7 | 2706 | Higher-Order Peak Decomposition by Xingyu Tan, Jingya Qian, Chen Chen, Qing Sima, Yanping Wu, Xiaoyang Wang and Wenjie Zhang |
8 | 2707 | Differentiable Retrieval Augmentation via Generative Language Modeling for E-commerce Query Intent Classification by Chenyu Zhao, Yunjiang Jiang, Yiming Qiu, Han Zhang and Wen-Yun Yang |
9 | 2711 | Exposing Model Theft: A Robust and Transferable Watermark for Thwarting Model Extraction Attacks by Ruixiang Tang, Hongye Jin, Mengnan Du, Curtis Wigington, Rajiv Jain and Xia Hu |
10 | 2720 | A Robust Backward Compatibility Metric for Model Retraining by Ryuta Matsuno and Keita Sakuma |
11 | 2817 | Quantitative Decomposition of Prediction Errors Revealing Multi-Cause Impacts: An Insightful Framework for MLOps by Keita Sakuma, Ryuta Matsuno and Yoshio Kameda |
12 | 2725 | A Semi-Supervised Anomaly Network Traffic Detection Framework via Multimodal Traffic Information Fusion by Yu Zheng, Xinglin Lian, Zhangxuan Dang, Chunlei Peng, Chao Yang and Jianfeng Ma |
13 | 2729 | CAMARADERIE: Content based knowledge transfer of medical image retrieval using variational autoencoders in a decentralized setting by Advait Padhye, Shreeja Bhakat, Humaira Firdowse, Atharv Savarkar, Ganesh Ramakrishnan and Kshitij Jadhav |
14 | 2733 | Promoting Diversity in Mixed Complex? Cooperative and Competitive Multi-Agent Environment by Jia Wu and Zixiao Huang |
15 | 2735 | DPAN: Dynamic Preference-based and Attribute-aware Network for Relevant Recommendations by Wei Dai, Yingmin Su, Xiaofeng Pan, Yufeng Wang, Zhenyu Zhu, Nan Xu, Chengjun Mao and Bo Cao |
16 | 2745 | Learning Invariant Representations for New Product Sales Forecasting via Multi-Granularity Adversarial Learning by Zhenzhen Chu, Chengyu Wang, Cen Chen, Dawei Cheng, Yuqi Liang and Weining Qian |
17 | 2746 | Unlocking the Potential of User Feedback: Leveraging Large Language Model as User Simulators to Enhance Dialogue System by Zhiyuan Hu, Yue Feng, Anh Tuan Luu, Bryan Hooi and Aldo Lipani |
18 | 2747 | Retrievability Bias Estimation Using Synthetically Generated Queries by Amin Abolghasemi, Suzan Verberne, Arian Askari and Leif Azzopardi |
19 | 2755 | Perturbation-Based Two-Stage Multi-Domain Active Learning by Rui He, Zeyu Dai, Shan He and Ke Tang |
20 | 2757 | MSRA: A Multi-Aspect Semantic Relevance Approach for E-Commerce via Multimodal Pre-Training by Hanqi Jin, Jiwei Tan, Lixin Liu, Lisong Qiu, Shaowei Yao, Xi Chen and Xiaoyi Zeng |
21 | 2766 | Can Embeddings Analysis Explain Large Language Model Ranking? by Claudio Lucchese, Giorgia Minello, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego and Alberto Veneri |
22 | 2768 | Fine-Grained Socioeconomic Prediction from Satellite Images with Distributional Adjustment by Donghyun Ahn, Minhyuk Song, Seungeon Lee, Yubin Choi, Jihee Kim, Sangyoon Park, Hyunjoo Yang and Meeyoung Cha |
23 | 2975 | A Comparative Study of Reference Reliability in Multiple Language Editions of Wikipedia by Aitolkyn Baigutanova, Diego Saez-Trumper, Miriam Redi, Meeyoung Cha and Pablo Arag?n |
24 | 2776 | Stochastic Subgraph Neighborhood Pooling for Subgraph Classification by Shweta Ann Jacob, Paul Louis and Amirali Salehi-Abari |
25 | 2783 | Towards Trustworthy Rumor Detection with Interpretable Graph Structural Learning by Leyuan Liu, Junyi Chen, Zhangtao Cheng, Wenxin Tai and Fan Zhou |
26 | 2787 | Enhancing Information Diffusion Prediction with Self-Supervised Disentangled User and Cascade Representations by Zhangtao Cheng, Wenxue Ye, Wenxin Tai, Leyuan Liu and Fan Zhou |
27 | 2786 | Efficient Multi-Task Learning via Generalist Recommender by Luyang Wang, Cangcheng Tang, Chongyang Zhang, Jun Ruan, Kai Huang and Jinquan Dai |
28 | 2799 | Temporal and Topological Augmentation-based Cross-view Contrastive Learning Model for Temporal Link Prediction by Dongyuan Li, Shiyin Tan, Yusong Wang, Kotaro Funakoshi and Manabu Okumura |
29 | 2801 | BI-GCN: Bilateral Interactive Graph Convolutional Network for Recommendation by Yinan Zhang, Pei Wang, Congcong Liu, Xiwei Zhao, Hao Qi, Jie He, Junsheng Jin, Changping Peng, Zhangang Lin and Jingping Shao |
30 | 3184 | Satisfaction-Aware User Interest Network for Click-Through Rate Prediction by Wen Shi, Mao Pan, Kun Zhou, Zheng Li, Dongyue Wang, Zhuoye Ding, Xiwei Zhao and Sulong Xu |
31 | 2808 | Can a chatbot be useful in childhood cancer survivorship? Development of a chatbot for survivors of childhood cancer by Mirae Kim, Kyubum Hwang, Hayoung Oh, Heejin Kim and Min Ah Kim |
32 | 2810 | UNDO: Effective and Accurate Unlearning Method for Deep Neural Networks by Sangyong Lee and Simon S. Woo |
33 | 3116 | SAFE: Sequential Attentive Face Embedding with Contrastive Learning for Deepfake Video Detection by Juho Jung, Chaewon Kang, Jeewoo Yoon, Simon S. Woo and Jinyoung Han |
34 | 2814 | Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning by Anton Lee, Yaqian Zhang, Heitor Murilo Gomes, Albert Bifet and Bernhard Pfahringer |
35 | 2816 | DCGNN: Dual-Channel Graph Neural Network for Social Bot Detection by Nuoyan Lyu, Bingbing Xu, Fangda Guo and Huawei Shen |
36 | 2844 | KGrEaT: A Framework to Evaluate Knowledge Graphs via Downstream Tasks by Nicolas Heist, Sven Hertling and Heiko Paulheim |
37 | 2847 | FiBiNet++: Reducing Model Size by Low Rank Feature Interaction Layer for CTR Prediction by Pengtao Zhang, Zheng Zheng and Junlin Zhang |
38 | 2855 | MvFS: Multi-view Feature Selection for Recommender System by Youngjune Lee, Keunchan Park, Yeongjong Jeong and Seongku Kang |
39 | 2871 | Attribute-enhanced Dual Channel Representation Learning for Session-based Recommendation by Qian Chen, Jianjun Li, Zhiqiang Guo, Guohui Li and Zhiying Deng |
40 | 2882 | Weight Matters: An Empirical Investigation of Distance Oracles on Knowledge Graphs by Ke Zhang, Jiageng Chen, Zixian Huang and Gong Cheng |
41 | 2886 | Personalized Differentially Private Federated Learning without Exposing Privacy Budgets by Junxu Liu, Jian Lou, Li Xiong and Xiaofeng Meng |
42 | 2895 | Adversarial Density Ratio Estimation for Change Point Detection by Shreyas S, Prakash Mandayam Comar and Sivaramakrishnan Kaveri |
43 | 2905 | Class Label-aware Graph Anomaly Detection by Junghoon Kim, Yeonjun In, Kanghoon Yoon, Junmo Lee and Chanyoung Park |
44 | 3090 | Exploring Cohesive Subgraphs in Hypergraphs: The (k,g)-core Approach by Dahee Kim, Junghoon Kim, Sungsu Lim and Hyun Ji Jeong |
45 | 3120 | Structural Mixup for Graph Neural Networks by Junghurn Kim, Sukwon Yun and Chanyoung Park |
46 | 2916 | Positive-Unlabeled Node Classification with Structure-aware Graph Learning by Hansi Yang, Yongqi Zhang, Quanming Yao and James Kwok |
47 | 2946 | KGPR: Knowledge Graph Enhanced Passage Ranking by Jinyuan Fang, Zaiqiao Meng and Craig Macdonald |
48 | 2982 | Generative Graph Augmentation for Minority Class in Fraud Detection by Lin Meng, Xiaonan Zhang, Jiawei Zhang, Hesham Mostafa and Marcel Nassar |
49 | 2991 | Findability: A Novel Measure of Information Accessibility by Aman Sinha, Priyanshu Raj Mall and Dwaipayan Roy |
50 | 2993 | Incorporating Co-purchase Behavior for Next-basket Recommendation by Yu Hao Chou and Pu Jen Cheng |
51 | 2995 | Extracting Methodology Components from AI Research Papers: A Data-driven Factored Sequence Labeling Approach by Madhusudan Ghosh, Debasis Ganguly, Partha Basuchowdhuri and Sudip Kumar Naskar |
52 | 3004 | eChoose your data wisely f: Active Learning based Selection with Multi-Objective Optimisation for Mitigating Stereotypes by Manish Chandra, Debasis Ganguly, Tulika Saha and Iadh Ounis |
53 | 2999 | Identify Dangerous Rules to Reduce Side Effects in Association Rule Hiding by Peng Cheng |
54 | 3000 | Hateful Comment Detection and Hate Target Type Prediction? for Video Comments by Shrey Gupta, Pratyush Priyadarshi and Manish Gupta |
55 | 3017 | Patient Clustering via Integrated Profiling of Clinical and Digital Data by Dongjin Choi, Andy Xiang, Ozgur Ozturk, Deep Shrestha, Barry Drake, Hamid Haidarian, Faizan Javed and Haesun Park |
56 | 3019 | Linkage Attack on Skeleton-based Motion Visualization by Thomas Carr, Depeng Xu and Aidong Lu |
57 | 3027 | HOVER: Homophilic Oversampling via Edge Removal for Class-Imbalanced Bot Detection on Graphs by Bradley Ashmore and Lingwei Chen |
58 | 3031 | Multi-step Prompting for Few-shot Emotion-Grounded Conversations by Mauzama Firdaus, Gopendra Singh, Asif Ekbal and Pushpak Bhattacharyya |
59 | 3036 | DynED: Dynamic Ensemble Diversification in Data Stream Classification by Soheil Abadifard, Sepehr Bakhshi, Sanaz Gheibuni and Fazli Can |
60 | 3045 | T-SaS: Toward shift-aware dynamic adaptation for streaming data by Weijieying Ren, Tianxiang Zhao, Wei Qin and Kunpeng Liu |
61 | 3048 | Efficient Variant Calling on Human Genome Sequences Using a GPU-Enabled Commodity Cluster by Manas Das, Khawar Shehzad and Praveen Rao |
62 | 3050 | Lightweight Adaptation of Neural Language Models via Subspace Embedding by Amit Kumar Jaiswal and Haiming Liu |
63 | 3081 | MTKDN: Multi-Task Knowledge Disentanglement Network for Recommendation by Haotian Wu, Bowen Xing and Ivor Tsang |
64 | 3083 | TCCM: Time and Content-aware Causal Model for Unbiased News Recommendation by Yewang Chen, Weiyao Ye, Guipeng Xv, Chen Lin and Xiaomin Zhu |
65 | 3085 | Leveraging Knowledge and Reinforcement Learning for Enhanced Reliability of Foundational Language Models by Nancy Tyagi, Surjodeep Sarkar and Manas Gaur |
66 | 3088 | Synergistic Disease Similarity Measurement via Unifying Hierarchical Relation Perception and Association Capturing by Zihao Gao, Huifang Ma, Yike Wang, Zhixin Li and Liang Chang |
67 | 3095 | Training Heterogeneous Graph Neural Networks using Bandit Sampling by Ta-Yang Wang, Rajgopal Kannan and Viktor Prasanna |
68 | 3100 | Explainable and Accurate Natural Language Understanding for Voice Assistants and Beyond by Kalpa Gunaratna, Vijay Srinivasan and Hongxia Jin |
69 | 3131 | Test-time normalization for popularity bias mitigation by Dain Kim, Jinhyeok Park and Dongwoo Kim |
70 | 3139 | Boosting Meta-learning Cold-start Recommendation with Graph Neural Network by Han Liu, Hongxiang Lin, Xiaotong Zhang, Fenglong Ma, Hongyang Chen, Lei Wang, Hong Yu and Xianchao Zhang |
71 | 3153 | Reconciling Training and Evaluation Objectives in Location Agnostic Surrogate Explainers by Matt Clifford, Jonathan Erksine, Alexander Hepburn, Peter Flach and Ra?l Santos-Rodr?guez |
72 | 3154 | XuanYuan 2.0: A Large Chinese Financial Chat Model with Hundreds of Billions Parameters by Xuanyu Zhang and Qing Yang |
73 | 3166 | On the Reliability of User Feedback for Evaluating Quality of Conversational Agents by Jordan Massiah, Emine Yilmaz, Yunlong Jiao and Gabriella Kazai |
74 | 3171 | Homogeneous Cohort-Aware Group Cognitive Diagnosis: A Multi-grained Modeling Perspective by Shuhuan Liu, Xiaoshan Yu, Haiping Ma, Ziwen Wang, Chuan Qin and Xingyi Zhang |
75 | 3190 | AVGNets: Angular Visibility Graph Networks with Probability Attention for Time Series Forecasting by Shengzhong Mao and Xiao-Jun Zeng |