Program Schedule

Conference Program Overview

All conference activities are based on Beijing Time (UTC +8).
Date Time Sessions/Forums
Day 1:
Friday, December 1, 2023 		08:00 – 10:00 Workshops
10:00 – 10:30 Coffee Break and Refreshment
10:30 – 12:00 Workshops
12:00 – 13:00 Lunch
13:00 – 15:00 Workshops
15:00 – 15:30 Coffee Break and Refreshment
15:30 – 20:00 Workshops
19:00 – 21:00 Steering Committee Meeting with ICDM 2023 & 2024 Main Organizers (By invitation only)
Day 2:
Saturday, December 2nd, 2023 		08:45 – 09:00 Opening and Welcome (Conference Chairs, PC Chairs, Local Chair)
09:00 – 10:00 Keynote: Big Data, Big Knowledge, Big Intelligence
(Dr. Ruqian Lu, Academician of Chinese Academy of Sciences)
10:00 – 10:30 Coffee Break and Refreshment
10:30-12:00
ICDM PhD Forum
(Room 6)
 10:30-12:00 Session A1-I Session A2-I Session A3-I Session A4-I Session A5-I
Room 1 Room 2 Room 3 Room 4 Room 5
12:00 – 13:30 Lunch
13:30 – 15:00 Session A1-II Session A3-II Session A7-I Session A8-I Session A9-I
14:30 – 17:30
Tutorial 1
(Room 6)
 Room 1 Room 2 Room 3 Room 4 Room 5
15:00 – 15:30 Coffee Break and Refreshment
15:30 – 17:30 Session A4-II Session A7-II Session A9-II Session A10-I Session A11-I
Room 1 Room 2 Room 3 Room 4 Room 5
18:00 – 20:00 Reception (Location: TBD)
Day 3:
Sunday, December 3rd, 2023 		09:00 – 10:00 Keynote: Stream Data Mining From Sliding Windows to New Paradigm of Deep Neural Network Learning Methodology
(Dr. Leszek Rutkowski, Academician of the Polish Academy of Sciences)
10:00 – 12:00
Tutorial 4
(Room 6)
 10:00 – 10:30 Coffee Break and Refreshment
10:30 – 12:00 Session A1-III Session A6-I Session A7-III Session A11-II Women Forum
Room 1 Room 2 Room 3 Room 4 Room 5
12:00 – 13:30 Lunch
13:30 – 15:30 Panel Discussion: Four Computing Paradigms – Where Will Large Language Models Be Going
14:30 – 17:30
Tutorial 2
(Room 6)
 (Panelists: Dr. Xindong Wu, Dr. Xingquan Zhu, Dr. Elena Baralis, Dr. Vipin Kumar, Dr. Leszek Rutkowski, Dr Tang Jie)
15:30 – 16:00 Coffee Break and Refreshment
16:00 – 17:30 Session A1-IV Session A6-II Session A9-III Session A10-II Session A12-I
Room 1 Room 2 Room 3 Room 4 Room 5
18:30 – 20:30 Banquet and Award Ceremony (Location: TBD)
Day 4:
Monday, December 4, 2023 		09:00 – 10:00 Keynote: From GLM-130B to ChatGLM
(Dr. Jie Tang, Tsinghua University, Fellows of ACM, AAAI, and IEEE)
10:00 – 12:00
Workshop (FedGraph)
 10:00 – 10:30 Coffee Break and Refreshment
10:30 – 12:00 Session A2-II Session A3-III Session A6-III Session A10-III Session A11-III
Room 1 Room 2 Room 3 Room 4 Room 5
12:00 – 13:30 Community Meeting with Lunch (all conference participants are invited)
13:30 – 15:00 Session A7-IV Session A8-II Session A9-IV Session A11-IV Session A12-II
14:30 – 17:30
Tutorial 3
(Room 6)
 Room 1 Room 2 Room 3 Room 4 Room 5
15:30 – 17:30 Session A3-IV Session A7-V Session A10-IV Session A11-V
Room 1 Room 2 Room 3 Room 4
17:30 Conference Concluding Remarks

HOW-TO join a Hybrid Meeting?

Please find ICDM2023 Zoom Informaton for the Hybrid Sessions from HERE.

Conference Paper Presentations

Keynote Lecture: 60 minutes (about 45 minutes for talk and 15 minutes for Q and A)
Main conference regular paper (R): 20 minutes (about 15 minutes for talk and 5 minutes for Q and A)
Main conference short paper (S): 15 minutes (about 10 minutes for talk and 5 minutes for Q and A)

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Session A1-I Graph Learning，Room 1 10:30-12:00
Session Chair: Li Sun, North China Electric Power University, ccesunli@ncepu.edu.cn
10:30 DM267 Limitations of Perturbation-Based Explanation Methods for Temporal Graph Neural Networks R
Minh N. Vu and My T. Thai
10:50 DM271 DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing R
Li Sun, Zhenhao Huang, Hua Wu, Junda Ye, Hao Peng, Zhengtao Yu, and Philip Yu
11:10 DM521 Infinitely Deep Graph Transformation Networks R
Lei Zhang, Qisheng Zhang, Zhiqian Chen, Yanshen Sun, Chang-Tien Lu, and Liang Zhao
11:30 DM599 Towards Unsupervised Graph Completion Learning on Graphs with Features and Structure Missing S
Sichao Fu, Qinmu Peng, Yang He, Baokun Du, and Xinge You
11:45 DM632 Dimensionality and Curvature Selection of Graph Embedding using Decomposed Normalized Maximum Likelihood Code-Length S
Ryo Yuki, Atsushi Suzuki, and Kenji Yamanishi
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Session A2-I Text, Set Image and Video Mining
Session Chair: Nayyar Zaidi, Deakin University, nayyar.zaidi@deakin.edu.au
10:30 DM289 Variable-length Encoding Framework: A Generic Framework for Enhancing the Accuracy of Approximate Membership Queries R
Zhenghong Luo, Qian Wang, Tianshan Qu, Haomai Wang, Li Meng, Rong Gu, and Haipeng Dai
10:50 DM366 Matching Words for Out-of-Distribution Detection R
Keke Tang, Xujian Cai, Weilong Peng, Daizong Liu, Peican Zhu, Pan Zhou, Zhihong Tian, and Wenping Wang
11:10 DM448 Beyond Lexical Consistency: Preserving Semantic Consistency for Program Translation R
Yali Du, Yi-Fan Ma, Zheng Xie, and Ming Li
11:30 DM446 Mixup-Inspired Video Class-Incremental Learning S
Jinqiang Long, Yizhao Gao, and Zhiwu Lu
11:45 DM605 Natural Language Generation Meets Data Visualization: Vis-to-Text and its Duality with Text-to-Vis S
Yuanfeng Song, Xiaoling Huang, Xuefang Zhao, and Raymond Chi-Wing WONG
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Session A3-I Federated Learning and Ensembles & Security and Privacy, Room 3 10:30-12:00
Session Chair: Session Chair: Qiang Duan, The Pennsylvania State University, qduan@psu.edu
10:30 DM275 Federated Learning for Privacy-Preserving Prediction of Occupational Group Mobility Using Multi-Source Mobile Data R
Hao Li, Hao Jiang, Haoran Xian, and Qimei Chen
10:50 DM898 BDVFL: Blockchain-Based Decentralized Vertical Federated Learning R
Shuo Wang, Keke Gai, Jing Yu, and Liehuang Zhu
11:10 DM245 Backdoor Attack on 3D Grey Image Segmentation R
Honghui Xu, Zhipeng Cai, Zuobin Xiong, and Wei Li
11:30 DM296 FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization S
Qianyu Long, Christos Anagnostopoulos, Shameem Puthiya Parambath, and Daning Bi
11:45 DM623 An Impact Study of Concept Drift in Federated Learning S
Guanhui Yang, Xiaoting Chen, Tengsen Zhang, Shuo Wang, and Yun Yang
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Session A4-I Anomaly Detection & Anomaly, Fraud, and Malware Detection, Room 4 10:30-12:00
Session Chair: Yi He, Old Dominion University, yihe@cs.odu.edu
10:30 DM224 Matrix Profile XXIX: C22MP, Fusing catch22 and the Matrix Profile to Produce an Efficient and Interpretable Anomaly Detector R
Sadaf Tafazoli, Yue Lu, Renjie Wu, Thirumalai Vinjamoor Akhil Srinivas, Hannah Dela Cruz, Ryan Mercer, Eamonn Keogh
10:50 DM856 Multiple Hypothesis Testing for Anomaly Detection in Multi-Type Event Sequences R
Shuai Zhang, Chuan Zhou, Peng Zhang, Yang Liu, Zhao Li, and Hongyang Chen
11:10 DM966 Deep Optimal Isolation Forest with Genetic Algorithm for Anomaly Detection R
Haolong Xiang, Xuyun Zhang, Mark Dras, Amin Beheshti, Wanchun Dou, and Xiaolong Xu
11:30 DM227 Matrix Profile XXX: MADRID: A Hyper-Anytime and Parameter-Free Algorithm to Find Time Series Anomalies of all Lengths S
Yue Lu, Thirumalai Vinjamoor Akhil Srinivas, Takaaki Nakamura, Makoto Imamura, and Eamonn Keogh
11:45 DM472 Bayesian A/B Testing with Covariates S
Yuanyu Zhang, Cheng Qian, and Wenhang Bao
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Session A5-I Online, Adaptive and Multi-Objective Learning and Mining, Room 5 10:30-12:00
Session Chair: Chuan Wang, Chinese Academy of Sciences, Institute of Information Engineering, wangchuan@iie.ac.cn
10:30 DM788 Mixtron: Bandit Online Multiclass Prediction with Implicit Feedback R
Wanjin Feng, Hailong Shi, Peilin Zhao,and Xingyu Gao
10:50 DM698 Adaptive Student Inference Network for Efficient Single Image Super-Resolution R
Kang Miao, Zhao Zhang, Jiahuan Ren, Mingbo Zhao, Haijun Zhang, and Richang Hong
11:10 DM845 Hierarchical Graph Contrastive Learning via Debiasing Noise Samples with Adaptive Repelling Ratio R
Peishuo Liu, Cangqi Zhou, Jing Zhang, Qianmu Li, and Dianming Hu
11:30 DM1122 Online Ensemble of Ensemble OVA Framework for Class Evolution with Dominant Emerging Classes S
Zhi Cao, Shuyi Zhang, and Chin-Teng Lin
11:45 DM1157 Continual Semantic Segmentation via Scalable Contrastive Clustering and Background Diversity S
Qi Yang, Xing Nie, Linsu Shi, Jiazhong Yu, Fei Li, and Shiming Xiang
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Session A1-II Graph Learning, Room 1 13:30-14:55
Session Chair: Xinbiao Gan, National University of Defense Technology, xinbiaogan@nudt.edu.cn
13:30 DM532 Context Sketching for Memory-Efficient Graph Representation Learning R
Kai-Lang Yao and Wu-Jun Li
13:50 DM574 A Mixed-State Streaming Edge Partitioning based on Combinatorial Design R
Zhenyu Zhang, Wenwen Qu, Weixi Zhang, Junlin Shang, and Xiaoling Wang
14:10 DM973 Graph Reciprocal Neural Networks by Abstracting Node as Attribute S
Liang Yang, Jiayi Wang, Dongxiao He, Chuan Wang, Xiaochun Cao, Bingxin Niu, and Zhen Wang
14:25 DM641 Toward Interpretable Graph Neural Networks via Concept Matching Model S
Tien-Cuong Bui and Wen-Syan Li
14:40 DM812 A Graph Convolutional Neural Network for Recommendation Based on Community Detection and Combination of Multiple Heterogeneous Graphs S
Caihong Mu, Heyuan Huang, Yunfei Fang, and Yi Liu
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Session A3-II Federated Learning and Ensembles & Security and Privacy, Room 2 13:30-15:00
Session Chair: Nhan Pham, IBM Research, Thomas J. Watson Research Center, nhp@ibm.com
13:30 DM757 HINT: Healthy Influential-Noise based Training to Defend against Data Poisoning Attacks R
Minh-Hao Van, Alycia Carey, and Xintao Wu
13:50 DM762 A Practical Clean-Label Backdoor Attack with Limited Information in Vertical Federated Learning R
Peng Chen, Jirui Yang, Junxiong Lin, Zhihui Lu, Qiang Duan, and Hongfeng Chai
14:10 DM708 Model Cloaking against Gradient Leakage S
Wenqi Wei, Ka-Ho Chow, Fatih Ilhan, Yanzhao Wu, and Ling Liu
14:30 DM798 Equipping Federated Graph Neural Networks with Structure-aware Group Fairness S
Nan Cui, Xiuling Wang, Hui Wang, Violet Chen, and Yue Ning
14:45 DM934 Data Quality Aware Hierarchical Federated Reinforcement Learning Framework for Dynamic Treatment Regimes S
Mingyi Li, Xiao Zhang, Haochao Ying, Yang Li, Xu Han, and Dongxiao Yu
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Session A7-I Factorization, Multi-Task Learning & Reinforcement Learning, Room 3 13:30-15:00
Session Chair: Nico Piatkowski, Fraunhofer IAIS, nico.piatkowski@iais.fraunhofer.de
13:30 DM303 Reserve Price Optimization in First-Price Auctions via Multi-Task Learning R
Achir Kalra, Chong Wang, Cristian Borcea, and Yi Chen
13:50 DM374 TensorCodec: Compact Lossy Compression of Tensors without Strong Data Assumptions R
Taehyung Kwon, Jihoon Ko, Jinhong Jung, and Kijung Shin
14:10 DM1072 Interactive Activities Initiation through Retrieving Hidden Social Information Networks R
Yulong Song, Bin Fu, Jianxiong Guo, and Xiaofeng Gao
14:30 DM242 Multi-Dictionary Tensor Decomposition S
Maxwell McNeil and Petko Bogdanov
14:45 DM513 Non-Negative Matrix Factorization for Link Prediction Preserving Row and Column Spaces S
Liping Yan and Weiren Yu
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Session A8-I Representation Learning , Room 4 13:30-15:15
Session Chair: Hyuk-Yoon Kwon, Seoul National University of Science and Technology, hyukyoon.kwon@seoultech.ac.kr
13:30 DM886 Anti-Noise Muiti-View Feature Selection With Sample Constraints R
Jiaye Li, Hang Xu, Hao Yu, Weixin Li, and Shichao Zhang
13:50 DM895 Graph Self-Contrast Representation Learning R
Minjie Chen, Yao Cheng, Ye Wang, Xiang Li, and Ming Gao
14:10 DM927 Beyond Discrete Selection: Continuous Embedding Space Optimization for Generative Feature Selection R
Meng Xiao, Dongjie Wang, Min Wu, Pengfei Wang, Yuanchun Zhou, and Yanjie Fu
14:30 DM1161 SimEXT: Self-Supervised Representation Learning for Extreme Values in Time Series S
Asadullah Hill Galib, Pang-Ning Tan, and Lifeng Luo
14:45 DM1047 Two-Level Graph Representation Learning with Community-as-a-Node Graphs S
Jeong-Ha Park, Kisung Lee, and Hyuk-Yoon Kwon
15:00 DM1185 On the Verification of Embeddings with Hybrid Markov Logic S
Anup Shakya, Abisha Thapa Magar, Somdeb Sarkhel, and Deepak Venugopal
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Session A9-I Spatial-Temporal Learning & Time Series,Trajectory, and Data Flow, Room 5 13:30-15:15
Session Chair: Shengrui Wang, University of Sherbrooke, shengrui.wang@usherbrooke.ca
13:30 DM381 IE-Evo: Internal and External Evolution-Enhanced Temporal Knowledge Graph Forecasting R
Kangzheng Liu, Feng Zhao, Guandong Xu, and Shiqing Wu
13:50 DM530 CAC: Enabling Customer-Centered Passenger-Seeking for Self-Driving Ride Service with Conservative Actor-Critic R
Palawat Busaranuvong, Xin Zhang, Yanhua Li, Xun Zhou, and Jun Luo
14:10 DM290 MoonKV: Optimizing Update-Intensive Workloads for NVM-Based Key-Value Stores R
Zhenghong Luo, Qian Wang, Tianshan Qu, Haomai Wang, Li Meng, Rong Gu, and Haipeng Dai
14:30 DM459 Fine-grained Urban Flow Inference with Unobservable Data via Space-Time Attraction Learning S
Ruifeng Wang, Yuansheng Liu, Yongshun Gong, Wei Liu, Meng Chen, Yilong Yin, and Yu Zheng
14:45 DM1149 Prediction in Long-Term Evolution: Exploiting the Interaction Between Urban Crowd Flow Variation and POI Transition Patterns S
Zhe Zheng, Jingjing Gu, Qiang Zhou, and Xinjiang Lu
15:00 DM480 Fed-mSSA: A Federated Approach for Spatio-Temporal Data Modeling Using Multivariate Singular Spectrum Analysis S
Jiayu He, Matloob Khushi, Tung Anh Nguyen, and Nguyen H. Tran
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Session A4-II Anomaly Detection & Anomaly, Fraud, and Malware Detection, Room 1 15:30-17:15
Session Chair: Chang-Dong Wang, Sun Yat-sen University, changdongwang@hotmail.com
15:30 DM1059 Themis: Detecting Anomalies from Disguised Normal Financial Activities R
Rui Ding, xiaochun yang, and Bin Wang
15:50 DM647 Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection R
Yuanchen Bei, Sheng Zhou, Qiaoyu Tan, Hao Xu, Hao Chen, Zhao Li, and Jiajun Bu
16:10 DM308 Telecom Fraud Detection Based on Feature Binning and Autoencoder R
Fei-Yao Liang, Fei-Peng Li, Rong-Hai Xu, Wei Cheng, Shi-Xian Deng, Zhe-Rui Yang, and Chang-Dong Wang
16:30 DM566 PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection S
Junjun Pan, Yixin Liu, Yizhen Zheng, and Shirui Pan
16:45 DM664 GCFormer: Granger Causality based Attention Mechanism for Multivariate Time Series Anomaly Detection S
Shiwang Xing, Jianwei Niu, and Tao Ren
17:00 DM718 Enhancing GNN-Based Fraud Detector via Semantic Extraction and Max-Representation-Margin S
Bingzhe Zhang, Xinye Wang, Zhenyang Yu, Yuanhao Zhang, Chengxin He, Song Deng, Zhaohang Luo, and Lei Duan
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Session A7-II Factorization、Multi-Task Learning&Reinforcement Learning, Room 2 15:30-17:00
Session Chair: Cristian Borcea, New Jersey Institute of Technology, borcea@njit.edu
15:30 DM679 A Deep Reinforcement Learning Approach to Configuration Sampling Problem R
Amir Abolfazli, Jakob Spiegelberg, Gregory Palmer, and Avishek Anand
15:50 DM691 Preference-Constrained Career Path Optimization: An Exploration Space-Aware Stochastic Model R
Pengzhan Guo, Keli Xiao, Hengshu Zhu, and Qingxin Meng
16:10 DM731 Computing Marginal and Conditional Divergences between Decomposable Models with Applications R
Loong Kuan Lee, Geoffrey I. Webb, Daniel Schmidt, and Nico Piatkowski
16:30 DM229 Concordance Learning with Spectral Decay on Triplet Similarity S
Jiansheng Fang and Jiajian Li
16:45 DM468 Rule Mining for Correcting Classification Models S
Jinqiang Long, Yizhao Gao, and Zhiwu Lu
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Session A9-II: Spatial-Temporal Learning & Time Series,Trajectory,and Data Flow, Room 3 15:30-17:15
Session Chair: Session Chair: Haoyi Xiong, Baidu Research, haoyi.xiong.fr@ieee.org
15:30 DM548 Efficient Cardinality and Cost Estimation with Bidirectional Compressor-based Ensemble Learning R
Zibo Liang, Xu Chen, Yan Zhao, Jiandong Xie, Kai Zeng, and Kai Zheng
15:50 DM604 PatternRCA: A Pattern-aware Root Cause Analysis Framework For Multi-Dimensional Time Series R
Cheng HE, Fulong Tian, Peijiao Xue, Yuan Wu, Yao Li, Jiajia Li, Zikai Wang, Feng Tan, Hongyang Chen, and Linghe Kong
16:10 DM741 Meteorology-Assisted Spatio-Temporal Graph Network for Uncivilized Urban Event Prediction R
Yang Luo, Zehao Gu, Shiyang Zhou, Yun Xiong, and Xiaofeng Gao
16:30 DM326 MTT-DynGL: Towards Multidimensional Topology-Oriented Time-Series Dynamic Graphs Learning Model S
Chen Shi, Yujie Mao, Yiding Shen, Wenli Xiong, Feng Liu, Chenhui Li, and Changbo Wang
16:45 DM807 Early Spatiotemporal Event Prediction via Adaptive Controller and Spatiotemporal Embedding S
Wei Shao, Ziyan Peng, Yufan Kang, Xiao Xiao, and Zhiling Jin
17:00 DM714 Rethinking Temporal Dependencies in Multiple Time Series: A Use Case in Financial Data S
Patrick Asante Owusu, Etienne Gael Tajeuna, Jean-Marc Patenaude, Armelle Brun, and Shengrui Wang
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Session A10-I Behavior Modeling and Recommendation, Room 4 15:30-16:55
Session Chair: Qingyun Sun, Beihang University, sunqy@buaa.edu.cn
15:30 DM372 Auto Graph Filtering for Bundle Recommendation R
Xiang-Long Li, Wudong Xi, Xing-Xing Xing, and Chang-Dong Wang
15:50 DM425 Learning Compact Compositional Embeddings via Regularized Pruning for Recommendation R
Xurong Liang, Tong Chen, Quoc Viet Hung Nguyen, Jianxin Li, and Hongzhi Yin
16:10 DM749 Graph Neural Ordinary Differential Equations-based method for Collaborative Filtering S
Ke Xu, Yuanjie Zhu, Weizhi Zhang, and Philip S. Yu
16:25 DM897 Intent-Aware Multi-Relational Graph Neural Network for Multi-Behavior Session-Based Recommendation S
Shunpan Liang, Helei Ma, Chen Li, and Yu Lei
16:40 DM975 GeoMixer: The MLP-Based Sequential POI Recommender with Travel Routing Modelling S
Tianxing Wang, Can Wang, Hui Tian, and Hong Shen
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Session A11-I Knowledge Graph and Large Language Model, Room 5 15:30-17:15
Session Chair: Liang Yang, Hebei University of Technolog, yangliang@vip.qq.com
15:30 DM397 Hierarchical Context Modeling Network for Landmark Recognition R
Xing Bao, Huan Zheng, Zhao Zhang, Zhengjun Zha, and Meng Wang
15:50 DM447 ContRE: A Complementary Measure for Robustness Evaluation of Deep Networks via Contrastive Examples R
Xuhong Li, Xuanyu Wu, Linghe Kong, Xiao Zhang, Siyu Huang, Dejing Dou, and Haoyi Xiong
16:10 DM486 Take CARE: Improving Inherent Robustness of Spiking Neural Networks with Channel-Wise Activation Recalibration Module R
Yan Zhang, Cheng Chen, Dian Shen, Meng Wang, and Beilun Wang
16:30 DM340 Hierarchical Label Inference Incorporating Attribute Semantics in Attributed Networks S
Junliang Li, Yajun Yang, Qinghua Hu, Xin Wang, and Hong Gao
16:45 DM474 A TSICN-Based Inferential Synthesis Method for Class Imbalance in Credit Scoring S
Dongxu Fan, Xuanzhi Feng, Jinghe Jiang, Yuming Jiang, Le Zhang, Dasha Hu
17:00 DM801 Momentum is All You Need for Data-Driven Adaptive Optimization S
Yizhou Wang, Yue Kang, Can Qin, Huan Wang, Yi Xu, Yulun Zhang, and Yun Fu
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Session A1-III Graph Learning, Room 1 10:30-11:55
Session Chair: Xuyun Zhang, Macquarie University, xuyun.zhang@mq.edu.au
10:30 DM933 FM-IGNN: Interaction Graph Neural Network with Fine-Grained Matching for Session-Based Recommendation R
Zongzhi Han, Zhonghong Ou, Yifan Zhu, Xiaodong Li, and Maina Song
10:50 DM667 GMMDA: Gaussian Mixture Modeling of Graph in Latent Space for Graph Data Augmentation R
Yanjin Li, Linchuan Xu, and Kenji Yamanishi
11:10 DM1055 CaT: Balanced Continual Graph Learning with Graph Condensation S
Yilun Liu, Ruihong Qiu, and Zi Huang
11:25 DM1130 Pseudo-Labeling with Graph Active Learning for Few-shot Node Classification S
Quan Li, Lingwei Chen, Shixiong Jing, and Dinghao Wu
11:40 DM1192 Double Wins: Boosting Accuracy and Efficiency of Graph Neural Networks by Reliable Knowledge Distillation S
Qiaoyu Tan, Daochen Zha, Ninghao Liu, Soo-Hyun Choi, Li Li, Rui Chen, and Xia Hu
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Session A6-I Model Interpretability and Fairness, Room 2 10:30-12:00
Session Chair: Session Chair: Vishwesh Jatala, Indian Institute of Technology, vishwesh@iitbhilai.ac.in
10:30 DM747 Theoretical Evaluation of Asymmetric Shapley Values for Root-Cause Analysis R
Domokos M. Kelen, Mihály Petreczky, Péter Kersch,and András A. Benczúr
10:50 DM494 Leveraging Data Density and Sparsity for Efficient SVM Training on GPUs R
Borui Xu, Zeyi Wen, Lifeng Yan, Zhan Zhao, Zekun Yin, Weiguo Liu, and Bingsheng He
11:10 DM535 Distributional Cloning for Stabilized Imitation Learning via ADMM R
Xin Zhang, Yanhua Li, Ziming Zhang, Christopher Brinton, Zhenming Liu, and Zhi-Li Zhang
11:30 DM363 Stochastic Integrated Explanations for Vision Models S
Oren Barkan, Yoni Elisha, Jonathan Weill, Yuval Asher, Amit Eshel, and Noam Koenigstein
11:45 DM859 Unfairness in Distributed Graph Frameworks S
Hao Zhang, Malith Jayaweera, Bin Ren, Yanzhi Wang, and Sucheta Soundarajan
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Session A7-III Factorization、Multi-Task Learning&Reinforcement Learning, Room 3 10:30-12:00
Session Chair: Jianxiong Guo, Beijing Normal University, jianxiongguo@bnu.edu.cn
10:30 DM1151 Robust Semi-Supervised Learning for Self-Learning Open-World Classes R
Ziyue Yu, Jiayi Wang, Wuman Luo, Rita Tse, and Giovanni Pau
10:50 DM1019 Neural Contextual Combinatorial Bandit under Non-Stationary Environment R
Jiaqi Zheng, Hedi Gao, Haipeng Dai, Zhenzhe Zheng, and Fan Wu
11:10 DM1098 Multi-Label Personalized Classification via Exclusive Sparse Tensor Factorization R
Weijia Lin, Jiankun Wang, Lu Sun, Mineichi Kudo, and Keigo Kimura
11:30 DM893 Handling New Class in Online Label Shift S
Yu-Yang Qian, Yong Bai, Zhen-Yu Zhang, Peng Zhao, and Zhi-Hua Zhou
11:45 DM603 RDKG: A Reinforcement Learning Framework for Disease Diagnosis on Knowledge Graph S
Shipeng Guo, Kunpeng Liu, Pengfei Wang, Wenjuan Cui, Weiwei Dai, Yi Du, and Yuanchun Zhou
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Session A11-II Knowledge Graph and Large Language Model, Room 4 10:30-12:00
Session Chair: Senzhang Wang, Central South University, szwang@csu.edu.cn
10:30 DM904 Deep Multi-Kernel Clustering Network R
Lina Ren, Ruizhang Huang, Shengwei Ma, Yongbin Qin, Yanping Chen, and Chuan Lin
10:50 DM572 IKGN: Intention-Aware Knowledge Graph Network for POI Recommendation R
Xiaoyu Zhu, Chenyang Bu, Bingbing Dong, Shengwei Ji, Yi He and Xindong Wu
11:10 DM653 Answering Subjective Induction Questions on Products by Summarizing Multi-Sources Multi-viewpoints Knowledge R
Yufeng Zhang, Mengxiang Wang, and Jianxing Yu
11:30 DM352 Fact-Preserved Personalized News Headline Generation S
Zhao Yang, Junhong Lian, and Xiang Ao
11:45 DM431 Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help? S
Ngoc Dang Nguyen, Wei Tan, Lan Du, Wray Buntine, Richard Beare, and Changyou Chen
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Women Forum, Room 5 10:30-12:00
10:30 Career Discussion, ICDM Female Scholar/Student Award
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Session A1-IV Graph Learning, Room 1 15:30-16:55
Session Chair: Dong Huang, South China Agricultural University, huangdonghere@gmail.com
15:30 DM1022 Self-supervised Heterogeneous Hypergraph Learning with Context-Aware Pooling for Graph-level Classification R
Malik Khizar Hayat, Shan Xue, and Jian Yang
15:50 DM1040 Enhancing Graph Collaborative Filtering via Neighborhood Structure Embedding R
Xinzhou Jin, Jintang Li, Yuanzhen Xie, Liang Chen, Beibei Kong, Lei Cheng, Bo Hu, Zang Li, and Zibin Zheng
16:10 DM823 Decision-focused Graph Neural Networks for Graph Learning and Optimization S
Yang Liu, Chuan Zhou, Peng Zhang, Shuai Zhang, Xiaoou Zhang, Zhao Li, and Hongyang Chen
16:25 DM1053 Graph Open-Set Recognition via Entropy Message Passing S
Lina Yang, Bin Lu, and Xiaoying Gan
16:40 DM906 Hypergraph Contrastive Learning for Drug Trafficking Community Detection S
Tianyi Ma, Yiyue Qian, Chuxu Zhang, and Yanfang Ye
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Session A6-II Model Interpretability and Fairness, Room 2 15:30-16:50
Session Chair: Wenbin Zhang, Florida International University, wenbinzhang2008@gmail.com
15:30 DM723 Interpretable Subgraph Feature Extraction for Hyperlink Prediction R
Peiyan Li, Liming Pan, Kai Li, Claudia Plant, and Christian Böhm
15:50 DM910 Tree-Based Kendall’s τ Maximization for Explainable Unsupervised Anomaly Detection S
Lanfang Kong, Alexis Huet, Dario Rossi, and Mauro Sozio
16:05 DM421 SGD Biased towards Early Important Samples for Efficient Training S
Alessio Quercia, Abigail Morrison, Hanno Scharr, and Ira Assent
16:20 DM1031 Entropy Aware Training for Fast and Accurate Distributed GNN S
Dhruv Deshmukh, Gagan Gupta, Manisha Chawla, Vishwesh Jatala, and Anirban Haldar
16:35 DM1097 Context Does Matter: End-to-end Panoptic Narrative Grounding with Deformable Attention Refined Matching Network S
Yiming Lin, Xiaobo Jin, Qiufeng Wang, and Kaizhu huang
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Session A9-III Spatial-Temporal Learning&Time Series,Trajectory, and Data Flow, Room 3 15:30-17:10
Session Chair: Yuxuan Liang, The Hong Kong University of Science and Technology (Guangzhou), yuxliang@outlook.com
15:30 DM831 Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling R
Kshitij Tayal, Arvind Renganathan, Rahul Ghosh, Xiaowei Jia, and Vipin Kumar
15:50 DM972 Self-supervised Pre-Training for Robust and Generic Spatial-Temporal Representations R
Mingzhi Hu, Zhuoyun Zhong, Xin Zhang, Yanhua Li, Yiqun Xie, Xiaowei Jia, Xun Zhou, and Jun Luo
16:10 DM368 Compatible Transformer for Irregularly Sampled Multivariate Time Series S
Yuxi Wei, Juntong Peng, Tong He, Chenxin Xu, Jian Zhang, Shirui Pan, and Siheng Chen
16:25 DM912 Distribution-Based Trajectory Clustering S
Zi Jing Wang, Ye Zhu, and Kai Ming Ting
16:40 DM926 Continual Trajectory Prediction with Uncertainty-Aware Generative Memory Replay S
Xiushi Feng, Shuncheng Liu, Haitian Chen, and Kai Zheng
16:55 DM938 Efficient Multi-source Contact Event Query Processing for Moving Objects S
Pengyue Li, Hua Dai, Yu Chen, Bohan Li, and Geng Yang
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Session A10-II Behavior Modeling and Recommendation, Room 4 15:30-17:15
Session Chair: Jiaxing Shen, Lingnan University, jiaxingshen@ln.edu.hk
15:30 DM561 Cascaded Cross Attention for Review-Based Sequential Recommendation R
Bingsen Huang, Jinwei Luo, Weihao Du, Weike Pan, and Zhong Ming
15:50 DM774 Variational Collective Graph AutoEncoder for Multi-Behavior Recommendation R
Yang Liu, Qianzhen Rao, Weike Pan, and Zhong Ming
16:10 DM864 Graph Sampling based Fairness-Aware Recommendation over Sensitive Attribute Removal R
Shenghao Liu, Guoyang Wu, Xianjun Deng, Hongwei Lu, Bang Wang, Laurence Yang, and James J. Park
16:30 DM687 Contrastive Learning-based Multi-Behavior Recommendation with Semantic Knowledge Enhancement S
Wenxuan Yu, Chenzhong Bin, Wenqiang Liu, and Liang Chang
16:45 DM1005 Bilateral Sequential Hypergraph Convolution Network for Reciprocal Recommendation S
Jiaxing Chen, Hongzhi Liu, Hongrui Guo, Yingpeng Du, Zekai Wang, Yang Song, and Zhonghai Wu
17:00 DM1010 Graph Collaborative Optimization for Sequential Recommendation S
Chunjing Xiao, Yan Shen, Yuxiang Zhang, and Shijie Li
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Session A12-I Medical, Health and Financial Applications, Room 5 15:30-17:10
Session Chair: Zhengyang Zhou, University of Science and Technology of China, zzy0929@ustc.edu.cn
15:30 DM260 Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs R
Guangjie Zeng, Hao Peng, Angsheng Li, Zhiwei Liu, Chunyang Liu, Philip Yu, and Lifang He
15:50 DM330 MtiRec: A Medical Test Recommender System based on the Analysis of Treatment Programs R
Nengjun Zhu, Jieyun Huang, Jian Cao, Xinjiang Lu, Hao LIU, and Hui Xiong
16:25 DM1105 MPRE: Multi-Perspective Patient Representation Extractor for Disease Prediction R
Ziyue Yu, Jiayi Wang, Wuman Luo, Rita Tse, and Giovanni Pau
16:40 DM955 A Counterfactual Fair Model for Longitudinal Electronic Health Records via Deconfounder S
Zheng Liu, Xiaohan Li, and Philip Yu
16:55 DM516 Enriched Representation Learning for Longitudinal Chest X-ray Analysis: A Novel Approach for Improved Disease Detection and Localization S
Xiangyu Li, Armand Ovanessians, and Hua Wang
17:10 DM261 Discovering the Cognition behind Language: Financial Metaphor Analysis with MetaPro S
Rui Mao, Kelvin Du, Yu Ma, Luyao Zhu, and Erik Cambria
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Session A2-II Text, Set Image and Video Mining, Room 1 10:30-12:00
Session Chair: Xiang Ao, Nstitute of Computing Technology, Chinese Academy of Sciences, aoxiang@ict.ac.cn
10:30 DM461 DSG: An End-to-End Document Structure Generator R
Johannes Rausch, Gentiana Rashiti, Maxim Gusev, Ce Zhang, and Stefan Feuerriegel
10:50 DM477 Feature Aggregating Network with Inter-Frame Interaction for Efficient Video Super-Resolution R
Yawei Li, Zhao Zhang, Suiyi Zhao, Jicong Fan, Haijun Zhang, and Mingliang Xu
11:10 DM613 MEG: Masked Ensemble Tabular Data Generator R
Yishuo Zhang, Nayyar Zaidi, Gang Li, and Wray Buntine
11:30 DM990 Learning Efficient Unsupervised Satellite Image-Based Building Damage Detection S
Yiyun Zhang, Zijian Wang, Yadan Luo, Xin Yu, and Zi Huang
11:45 DM1142 Refining the Unseen: Self-Supervised Two-Stream Feature Extraction for Image Quality Assessment S
Yiwei Lou, Yanyuan Chen, Dexuan Xu, Doudou Zhou, Yongzhi Cao, Hanpin Wang, and Yu Huang
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Session A3-III Federated Learning and Ensembles & Security and Privacy, Room 2 10:30-11:50
Session Chair: Shizhe Hu, Zhengzhou University, ieshizhehu@zzu.edu.cn
10:30 DM1002 A Progressive Sampling Method for Dual-Node Imbalanced Learning with Restricted Data Access R
Yixuan Qiu, Weitong Chen, and Miao Xu
10:50 DM1164 ATTA: Adversarial Task-Transferable Attacks on Autonomous Driving Systems R
Qingjie Zhang, Maosen Zhang, Han Qiu, Tianwei Zhang, Mounira Msahli, and Gerard Memmi
11:05 DM320 Exact-Fun: An Exact and Efficient Federated Unlearning Approach S
Zuobin Xiong, Wei Li, Yingshu Li, and Zhipeng Cai
11:20 DM384 Privacy-Preserving Cross-Domain Sequential Recommendation S
Zhaohao Lin, Weike Pan, and Zhong Ming
11:35 DM671 Sparse Attacks for Manipulating Explanations in Deep Neural Network Models S
Ahmad Ajalloeian, Seyed-Mohsen Moosavi-Dezfooli, Michalis Vlachos, and Pascal Frossard
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Session A6-III Model Interpretability and Fairness, Room 3 10:30-11:55
Session Chair: Ning Liu, School of Software Shandong University, liun21cs@sdu.edu.cn
10:30 DM487 Robustness Certification of k-Nearest Neighbors R
Nicolò Fassina, Francesco Ranzato, Marco Zanella
10:50 DM539 Mitigating Multisource Biases in Graph Neural Networks via Real Counterfactual Samples R
Zichong Wang, Giri Narasimhan, Xin Yao, and Wenbin Zhang
11:25 DM293 Promoting Robustness of Randomized Smoothing: Two Cost-Effective S
Linbo Liu, Trong Nghia Hoang, Lam M. Nguyen, and Tsui-Wei Weng
11:40 DM362 Learning to Explain: A Model-Agnostic Framework for Explaining Black Box Models S
Oren Barkan, Yehonatan Elisha, Jonathan Weill, Yuval Asher, Amit Eshel, Noam Koenigstein
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Session A10-III Behavior Modeling and Recommendation, Room 4 10:30-11:55
Session Chair: Shiliang Sun, Shanghai Jiao Tong University, shiliangsun@gmail.com
10:30 DM249 Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation R
Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, and Lina Yao
10:50 DM355 PKAT:Pre-training in Collaborative Knowledge Graph Attention Network for Recommendation R
Yi-Hong Lu, Chang-Dong Wang, Pei-Yuan Lai, and Jian-Huang Lai
11:10 DM358 Hypergraph Attribute Attention Network for Community Recommendation R
Kang Li, Wudong Xi, Xing-Xing Xing, and Chang-Dong Wang
11:30 DM482 Session-based Interactive Recommendation via Deep Reinforcement Learning S
Longxiang Shi, Zilin Zhang, Shoujin Wang, Qi Zhang, Minghui Wu, Cheng Yang, and Shijian Li
11:45 DM501 Device-Unimodal Cloud-Multimodal Collaboration for Livestreaming Content Understanding S
Yufei Zhu, Chaoyue Niu, Yikai Yan, Zhijie Cao, Hao Jiang, Chengfei Lyu,Shaojie Tang,Fan Wu
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Session A11-III Knowledge Graph and Large Language Model, Room 5 10:30-11:55
Session Chair: Peng Hu, Sichuan University, penghu.ml@gmail.com
10:30 DM662 ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness R
Yunfei Zhang, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, and Hengshu Zhu
10:50 DM696 Collaborative Word-based Pre-Trained Item Representation for Transferable Recommendation R
Shenghao Yang, Chenyang Wang, Yankai Liu, Kangping Xu, Weizhi Ma, Yiqun Liu, Min Zhang, Haitao Zeng, Junlan Feng, and Chao Deng
11:10 DM728 Balancing and Contrasting Biased Samples for Debiased Visual Question Answering S
Runlin Cao and Zhixin Li
11:25 DM988 Homogeneous Entity Context Enhanced Representation Network for Temporal Knowledge Graph Reasoning S
Yujia Yang, Conghui Zheng, and Li Pan
11:40 DM1056 Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization S
Maolin Wang, Dun Zeng, Zenglin Xu, Ruocheng Guo, and Xiangyu Zhao
11:55 DM1168 CounterCLR: Counterfactual Contrastive Learning with Non-Random Missing Data in Recommendation S
Jun Wang, Haoxuan Li, Chi Zhang, Dongxu Liang, Enyun Yu, Wenwu Ou, and Wenjia Wang
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Session A7-IV Factorization、Multi-Task Learning&Reinforcement Learning, Room 1 13:30-14:55
Session Chair: Dongxiao He, Tianjin University, hedongxiao@tju.edu.cn
13:30 DM928 Causal Discovery by Continuous Optimization with Conditional Independence Constraint: Methodology and Performance R
Yewei Xia, Hao Zhang, Yixin Ren, Jihong Guan, and Shuigeng Zhou
13:50 DM984 Contextual Target-Specific Stance Detection on Twitter: Dataset and Method R
Yupeng Li, Dacheng Wen, Haorui He, Jianxiong Guo, Xuan Ning, and Francis C.M. Lau
14:10 DM773 FASM and FAST-YB: Significant Pattern Mining with False Discovery Rate Control S
Paolo Pellizzoni and Karsten Borgwardt
14:25 DM786 Concentric Ring Loss for Face Forgery Detection S
Yu Yin, Yue Bai, Yizhou Wang, and Yun Fu
14:40 DM867 To Predict or to Reject: Causal Effect Estimation with Uncertainty on Networked Data S
Hechuan Wen, Tong Chen, Li Kheng Chai, Shazia Sadiq, Kai Zheng, and Hongzhi Yin
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Session A8-II Representation Learning, Room 2 13:30-15:00
Session Chair: Shengzhong Liu, Shanghai Jiao Tong University, liu-sz@cs.sjtu.edu.cn
13:30 DM243 Cognition-Mode Aware Variational Representation Learning Framework for Knowledge Tracing R
Moyu Zhang, Xinning Zhu, Chunhong Zhang, Feng Pan, Wenchen Qian, and Hui Zhao
13:50 DM439 Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference R
Debo Cheng, Yang Xie, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Yinghao Zhang, and Zaiwen Feng
14:10 DM589 Self-optimizing Feature Generation via Categorical Hashing Representation and Hierarchical Reinforcement Crossing R
Wangyang Ying, Dongjie Wang, Kunpeng Liu, Leilei Sun, and Yanjie Fu
14:30 DM252 On Regularized Sparse Logistic Regression S
Mengyuan Zhang and Kai Liu
14:45 DM254 Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization S
Zexu Sun, Bowei He, Ming Ma, Jiakai Tang, Yuchen Wang, Chen Ma, and Dugang Liu
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Session A9-IV Spatial-Temporal Learning&Time Series,Trajectory,and Data Flow, Room 3 13:30-14:50
Session Chair: Session Chair: Cao Jie, Hefei University of Technology, cao_jie@hfut.edu.cn
13:30 DM646 Explainable Adaptive Tree-Based Model Selection for Time-Series Forecasting R
Matthias Jakobs and Amal Saadallah
13:50 DM1101 Boosting Urban Prediction via Addressing Spatial-Temporal Distribution Shift R
Xuanming Hu, Wei Fan, Kun Yi, Pengfei Wang, yuanbo xu, Yanjie Fu, and Pengyang Wang
14:10 DM416 GAFNO: Gated Adaptive Fourier Neural Operator for Task-Agnostic Time Series Modeling S
Xin-Yi Li and Yu-Bin Yang
14:25 DM526 A Symbolic Representation of Two-Dimensional Time Series for Arbitrary Length DTW Motif S
Makoto Imamura and Takaaki Nakamura
14:40 DM959 STSD: Modeling Spatial Temporal Staticity and Dynamicity in Traffic Forecasting S
Guanghui Zhu, Haojun Hou, Peiliang Wang, Chunfeng Yuan, and Yihua Huang
14:55 DM932 Counterfactual Explanations for Time Series Forecasting S
Zhendong Wang, Ioanna Miliou, Isak Samsten, and Panagiotis Papapetrou
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Session A11-IV Knowledge Graph and Large Language Model, Room 4 13:30-14:50
Session Chair: Peng Zhou, Anhui University, zhoupeng@ahu.edu.cn
13:30 DM840 MPGraf: a Modular and Pre-Trained Graphformer for Learning to Rank at Web-scale R
Yuchen Li, Haoyi Xiong, Linghe Kong, Zeyi Sun, Hongyang Chen, Shuaiqiang Wang, and Dawei Yin
13:50 DM850 Efficient and Effective Entity Alignment for Evolving Temporal Knowledge Graphs R
Yunfei Li, Lu Chen, Chengfei Liu, Rui Zhou, and Jianxin Li
14:10 DM1126 DiffNAS: Bootstrapping Diffusion Models by Prompting for Better Architectures S
Wenhao Li, Xiu Su, Shan You, Fei Wang, Chen Qian, and Chang Xu
14:25 DM1160 PatSTEG: Modeling Formation Dynamics of Patent Citation Networks via The Semantic-Topological Evolutionary Graph S
Ran Miao, Xueyu Chen, Liang Hu, Zhifei Zhang, Minghua Wan, Qi Zhang, and Cairong Zhao
14:40 DM1132 Can Neural Networks Distinguish High-school Level Mathematical Concepts? S
Sebastian Wankerl, Andrzej Dulny, Gerhard G¨otz,Andreas Hotho
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Session A12-II Medical, Health and Financial Applications, Room 5 13:30-14:50
Session Chair: Jiaqi Zheng, Nanjing University, jzheng@nju.edu.cn
13:30 DM517 Discovering Protein Interactions and Repurposing Drugs in SARS-CoV-2 (COVID-19) via Learning on Robust Multipartite Graphs R
Xiangyu Li, Armand Ovanessians, and Hua Wang
13:50 DM815 Heterogeneous Treatment Effect Estimation with Subpopulation Identification for Personalized Medicine in Opioid Use Disorder S
Seungyeon Lee, Ruoqi Liu, Wenyu Song, and Ping Zhang
14:05 DM916 Insight Analysis for Tennis Strategy and Tactics S
Zhaoyu Liu, Kan Jiang, Zhe Hou, Yun Lin, and Jin Song Dong
14:20 DM950 Fast Multi-Modal Multi-Instance Support Vector Machine for Fine-grained Chest X-ray Recognition S
Hoon Seo and Hua Wang
14:35 DM417 Enhancing Personalized Healthcare via Capturing Disease Severity, Interaction, and Progression S
Yanchao Tan, Zihao Zhou, Leisheng Yu, Weiming Liu, Chaochao Chen, Guofang Ma, Xiao Hu, Vicki Hertzberg, and Carl Yang
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Session A3-IV Federated Learning and Ensembles & Security and Privacy, Room 1 15:30-17:30
Session Chair: Peng Chen, Sichuan University, penghu.ml@gmail.com
15:30 DM960 Attacking c-MARL More Effectively: A Data Driven Approach S
Nhan H. Pham, Lam M. Nguyen，Jie Chen，Hoang Thanh Lam，Subhro Das，Tsui-Wei Weng
15:45 DM1107 Uncertainty-Aware Traffic Prediction under Missing Data S
Hao Mei, Junxian Li, Zhiming Liang, Guanjie Zheng, Bin Shi, and Hua Wei
16:00 DM1077 Review-Incorporated Model-Agnostic Profile Injection Attacks on Recommender Systems S
Shiyi Yang, Lina Yao, Chen Wang, Xiwei Xu, and Liming Zhu
17:15 DM1099 Personalized Federated Semi-Supervised Learning with Black-Box Models S
Siyin Huang, Shaoyuan Li, and Songcan Chen
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Session A7-V Factorization、Multi-Task Learning&Reinforcement Learning, Room 2 15:30-16:50
Session Chair: Haipeng Dai, Nanjing University, haipengdai@nju.edu.cn
15:30 DM545 Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness R
Yanzhao Wu, Ka-Ho Chow, Wenqi Wei, and Ling Liu
15:50 DM800 Reinforcement Learning based Hyper-Heuristics for Many-Objective Pickup and Delivery Problem S
Adeem Ali Anwar and Xuyun Zhang
16:05 DM1009 Feedback Decision Transformer: Offline Reinforcement Learning With Feedback S
Liad Giladi and Gilad Katz
16:20 DM1026 Multi-Hop Correlation Preserving Hashing for Efficient Hamming Space Retrieval S
Liang Li and Weiwei Sun
16:35 DM1073 Balancing Summarization and Change Detection in Graph Streams S
Shintaro Fukushima and Kenji Yamanishi
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Session A10-IV Behavior Modeling and Recommendation, Room 3 15:30-17:15
Session Chair: Wei Wang, Fudan University, weiwang1@fudan.edu.cn
15:30 DM329 MCRec: Multi-Channel Gated Gifts Recommendation R
Ting-Ting Su, Wudong Xi, Xing-Xing Xing, and Chang-Dong Wang
15:50 DM1004 ConvAOA: A Convolutional Attention Over Attention Model for Click-Through Rate Prediction R
Bin Yang, Tianmu Sha, Ying Xing, Ziyang Wang, Zhipu Xie, and Xin Wang
16:10 DM1028 SCRIPT: Sequential Cross-Meta-Information Recommendation in Pretrain and Prompt Paradigm R
Xinyi Zhou, Jipeng Jin, Li Ma, Xiaofeng Gao, Jianbo Yang, Xiongwen Yang, and Lei Xiao
16:30 DM1082 Enhancing Social Recommendation with Multi-View BERT Network S
Tushar Prakash, Raksha Jalan, and Naoyuki Onoe
16:45 DM1144 Metric-agnostic Learning-to-Rank via Boosting and Rank Approximation S
Camilo Gomez, Pengyang Wang, and Yanjie Fu
17:00 DM1167 SOAC: Supervised Off-Policy Actor-Critic for Recommender Systems S
Shiqing Wu，Guandong Xu，Xianzhi Wang
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Session A11-V Knowledge Graph and Large Language Model, Room 4 15:30-17:00
Session Chair: Wei Ye, Tongji University, yew@tongji.edu.cn
15:30 DM588 Differentiable Bayesian Structure Learning with Acyclicity Assurance R
Quang-Duy Tran, Phuoc Nguyen, Bao Duong, and Thin Nguyen
15:50 DM611 Robust Network Alignment with the Combination of Structure and Attribute Embeddings R
Jingkai Peng, Fei Xiong, Shirui Pan, Liang Wang, and Xi Xiong
16:10 DM847 CVaDeS: A Conditional Variational Deep Survival Model for Survival Analysis R
Jinyuan Luo, Zikai Xiao, Wen Shi, Linhai Xie, Hong Yang, Xiaoxia Yin, and Yanchun Zhang
16:30 DM879 Enhancing Bug Localization through Bug Report Summarization S
Xia Zhang, Ziye Zhu, and Yun Li
16:45 DM949 PIX-GAN: Enhance Physics-Informed Estimation via Generative Adversarial Network S
Haoran Li and Yang Weng