{"id":576,"date":"2023-10-25T00:53:48","date_gmt":"2023-10-25T00:53:48","guid":{"rendered":"https:\/\/www.wsdm-conference.org\/2024\/?page_id=576"},"modified":"2024-03-05T20:16:44","modified_gmt":"2024-03-05T20:16:44","slug":"accepted-papers","status":"publish","type":"page","link":"https:\/\/www.wsdm-conference.org\/2024\/accepted-papers\/","title":{"rendered":"Accepted papers"},"content":{"rendered":"\n

The proceedings are now available.<\/mark><\/a><\/strong><\/h3><\/a><\/div><\/div>\n\n\n\n

Defense Against Model Extraction Attacks on Recommender Systems
<\/strong>Sixiao Zhang (Nanyang Technological University)*; Hongzhi Yin (The University of Queensland); Hongxu Chen (The University of Queensland); Cheng Long (Nanyang Technological University)

GPT4Table: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study<\/strong>
Yuan Sui (National University of Singapore)*; Mengyu Zhou (Microsoft Research); Mingjie Zhou (The University of Hong Kong); Shi Han (Microsoft Research); Dongmei Zhang (Microsoft Research Asia)

Hierarchical Multimodal Pre-training for Visually Rich Webpage Understanding<\/strong>
Hongshen Xu (Shanghai Jiao Tong University)*; Lu Chen (Shanghai Jiao Tong University); Zihan Zhao (Shanghai Jiao Tong University); Da Ma (Shanghai Jiao Tong University); Ruisheng Cao (Shanghai Jiao Tong University); Zichen Zhu(Shanghai Jiao Tong University); Kai Yu (Shanghai Jiao Tong University)

Motif-based Prompt Learning for Universal Cross-domain Recommendation<\/strong>
Bowen Hao (Captial Normal University)*; Chaoqun Yang (Griffith University); Lei Guo (Shandong Normal University); Junliang Yu (The University of Queesland); Hongzhi Yin (The University of Queensland)

To Copy, or not to Copy; That is a Critical Issue of the Output Softmax Layer in Neural Sequential Recommenders<\/strong>
Haw-shiuan Chang (Amazon)*; Nikhil Agarwal (Amazon.com); Andrew McCallum (Univ of Massachusetts Amherst)

Follow the LIBRA: Guiding Fair Policy for Unified Impression Allocation via Adversarial Rewarding<\/strong>
XiaoYu Wang (University of Science and Technology of China)*; YongHui Guo (tencent); bin tan (tencent); Tao Yang (Tencent Company); Dongbo Huang (Tencent); Lan Xu (Tencent); Hao Zhou (University of Science and Technology of China); Xiangyang Li (University of Science and Technology of China)

Text-Video Retrieval via Multi-Modal Hypergraph Networks<\/strong>
Qian Li (Baidu Inc.)*; Lixin Su (University of Chinese Academy of Sciences); Jiashu Zhao (Wilfrid Laurier University); Long Phil Xia (Baidu); Hengyi Cai (City University of Hong Kong); Suqi Cheng (Baidu Inc.); Hengzhu Tang (Baidu Inc.); junfeng wang (Baidu); Dawei Yin (Baidu)

Guardian: Guarding against Gradient Leakage with Provable Defense for Federated Learning<\/strong>
Mingyuan Fan (Eeat China Normal University)*; Yang Liu (Xidian University); Cen Chen (East China Normal University); Chengyu Wang (Alibaba Group); Minghui Qiu (Alibaba); Wenmeng Zhou (Alibaba Group)

CreST: A Credible Spatiotemporal Learning Framework for Uncertainty-aware Traffic Forecasting<\/strong>
Zhengyang Zhou (University of Science and Technology of China); Jiahao Shi (University Of Science And Technology Of China); Hongbo Zhang (University of Science and Technology of China); Qiongyu Chen (University of Science and Technology of China); Xu Wang (University of Science and Technology of China); Hongyang Chen (Zhejiang Lab); Yang Wang (University of Science and Technology of China)*

Linear Recurrent Units for Sequential Recommendation<\/strong>
Zhenrui Yue (University of Illinois Urbana-Champaign); Yueqi Wang (University of California, Berkeley); Zhankui He (UC, San Diego)*; Huimin Zeng (University of Illinois at Urbana-Champaign); Julian McAuley (UCSD); Dong Wang (University of Illinois Urbana-Champaign)

ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees<\/strong>
Sina Sajadmanesh (EPFL)*; Daniel Gatica-Perez (IDIAP)

User Behavior Enriched Temporal Knowledge Graph for Sequential Recommendation<\/strong>
Hengchang Hu (National University of Singapore)*; Wei Guo (Huawei Noah’s Ark Lab); Xu Liu (National University of Singapore); Yong Liu (Huawei); Ruiming Tang (Huawei Noah’s Ark Lab); Rui Zhang (ruizhang.info); Min-Yen Kan (National University of Singapore)

A Linguistic Grounding-Infused Contrastive Learning Approach for Health Mention Classification on Social Media<\/strong>
Usman Naseem (University of Sydney)*; Jinmaan Kim (University of Sydney); Matloob Khush (University of Sydney); Adam Dun (University of Sydney)

CityCAN: Causal Attention Network for Citywide Spatio-Temporal Forecasting<\/strong>
Chengxin Wang (National University of Singapore)*; Yuxuan Liang (The Hong Kong University of Science and Technology (Guangzhou)); Gary Tan (National University of Singapore)

Capturing temporal node evolution via Self-supervised learning: A New Perspective on dynamic graph learning<\/strong>
Lingwen Liu (Northeastern University); Guangqi Wen (Northeastern University); Peng Cao (Northeastern University)*; Jinzhu Yang (northeastern university); Weiping Li (Peking University); Osmar Zaiane (University of Alberta)

CausalMMM: Learning Causal Structure for Marketing Mix Modeling<\/strong>
Chang Gong (Institute of Computing Technology, Chinese Academy of Sciences)*; Di Yao (Institute of Computing Technology, Chinese Academy of Sciences); Lei Zhang (Alibaba); Sheng Chen (Alibaba Group); Wenbin Li (Institute of Computing Technology, Chinese Academy of Sciences); Yueyang Su (Institute of Computing Technology, Chinese Academ); Jingping Bi (Institute of Computing Technology, Chinese Academy of Sciences)

GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction<\/strong>
Amit Roy (Purdue University)*; Juan Shu (Purdue university); Jia Li (Hong Kong University of Science and Technology); Carl Yang (Emory University); Olivier Elshocht (Sony); Jeroen Smeets (Sony R&D Center Brussels Laboratory); Pan Li (Georgia Tech.)

The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation<\/strong>
Yuchang Zhu (Sun Yat-sen University)*; Jintang Li (Sun Yat-sen University); Liang Chen (Sun Yat-sen University); Zibin Zheng (Sun Yat-sen University)

Incomplete Graph Learning via Attribute-Structure Decoupled Variational Auto-Encoder<\/strong>
Xinke Jiang (Institute of Computing Technology, Chinese Academy of Sciences); Zidi Qin (Institute of Computing Technology, Chinese Academy of Sciences); Jiarong Xu (Fudan University); Xiang Ao (Institute of Computing Technology, CAS )*

A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense Retrieval<\/strong>
Xiaojie Sun (Institute of Computing Technology, Chinese Academy of Sciences)*; Keping Bi (Chinese Academy of Sciences); Jiafeng Guo (Institute of Computing Technology, Chinese Academy of Sciences); Sihui Yang (Institute of Computing Technology, Chinese Academy of Sciences); Qishen Zhang (Ant Group); Zhongyi Liu (Ant Group); Guannan Zhang (Ant Group); Xueqi Cheng (Institute of Computing Technology, Chinese Academy of Sciences)

Causality Guided Disentanglement for Cross-Platform Hate Speech Detection<\/strong>
Paras Sheth (Arizona State University)*; Raha Moraffah (Arizona State University); Tharindu S Kumarage (Arizona State University); Aman Chadha (Amazon. Inc); Huan Liu (Arizona State University)

Learning A Foundation Language Model for Geoscience Knowledge Understanding and Utilization<\/strong>
Cheng Deng (Shanghai Jiao Tong University)*; Tianhang Zhang (Shanghai Jiao Tong University); Zhongmou He (Shanghai Jiao Tong University); qiyuan chen (university of waterloo); Yi Xu (Shanghai Jiao Tong University); shi yuanyuan (SJTU); Luoyi Fu (Shanghai Jiao Tong University); Weinan Zhang (Shanghai Jiao Tong University); Xinbing Wang (Shanghai Jiao Tong University); Chenghu Zhou (Shanghai Jiao Tong University); Zhouhan Lin (Shanghai Jiao Tong University); Junxian He (Shanghai Jiao Tong University)

Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation<\/strong>
Xiuyuan Qin (Soochow University)*; Huanhuan Yuan (Soochow University); Pengpeng Zhao (Soochow University); Guanfeng Liu (Macquarie University); Fuzhen Zhuang (Institute of Artificial Intelligence, Beihang University); Victor S. Sheng (Texas Tech University)

LEAD: Liberal Feature-based Distillation for Dense Retrieval<\/strong>
Hao Sun (Peking University); Xiao Liu (Microsoft Research Asia)*; Yeyun Gong (Microsoft Research Asia); Anlei Dong (Microsoft); Jingwen Lu (Microsoft); Yan Zhang (Peking University); Linjun Yang (Microsoft); Rangan Majumder (Microsoft); Nan Duan (Microsoft Research)

RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis<\/strong>
Xusheng Zhao (Institute of Information Engineering, Chinese Academy of Sciences); Hao Peng (Beihang University)*; Qiong Dai (Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China, 100093); Xu Bai (Institute of Information Engineering, Chinese Academy of Sciences); Huailiang Peng (Institute of Information Engineering, Chinese Academy of Sciences); Yanbing Liu (Institute of Information Engineering, Chinese Academy of Sciences); Qinglang Guo (University of Science and Technology of China); Philip S Yu (UIC)

GAP: A Grammar and Position-Aware Framework for Efficient Recognition of Multi-Line Mathematical Formulas<\/strong>
Zhe Yang (University of Science and Technology of China)*; Qi Liu (” University of Science and Technology of China, China”); Kai Zhang (University of Science and Technology of China); Shiwei Tong (University of Science and Technology of China (USTC)); Enhong Chen (University of Science and Technology of China)

TTC-QuAli: A Text-Table-Chart Dataset for Multimodal Quantity Alignment<\/strong>
Haoyu Dong (Institute of Information Engineering, Chinese Academy of Sciences)*; Haochen Wang (Peking University); Anda Zhou (Edinburgh); Yue Hu (Institute of Information Engineering,Chinese Academy of Sciences)

Budgeted Embedding Table For Recommender Systems<\/strong>
Yunke Qu (The University of Queensland)*; Tong Chen (The University of Queensland); Quoc Viet Hung Nguyen (Griffith University); Hongzhi Yin (The University of Queensland)

Pre-trained Recommender Systems: A Causal Debiasing Perspective<\/strong>
Ziqian Lin (University of Wisconsin\u2013Madison)*; Hao Ding (AWS AI Lab); Nghia Trong Hoang (Washington State University); Branislav Kveton (AWS AI Labs); Anoop Deoras (Amazon); Hao Wang (Rutgers University)

Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation<\/strong>
Shuyao Wang (University of Science and Technology of China)*; Yongduo Sui (University of Science and Technology of China); Jiancan Wu (University of Science and Technology of China); Zhi Zheng (University of Science and Technology of China); Hui Xiong (Hong Kong University of Science and Tech)

PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation<\/strong>
Chunjing Gan (Ant Group)*; Bo Huang (Ant Group); Binbin Hu (Ant Group); Jian Ma (Ant Group); Zhiqiang Zhang (Ant Group); Jun Zhou (Ant Financial); Guannan Zhang (Ant Group); WENLIANG ZHONG (Ant Group)

Dance with Labels: Dual-Heterogeneous Label Graph Interaction for Multi-intent Spoken Language Understanding<\/strong>
Zhihong Zhu (Peking University)*; Xuxin Cheng (Peking University); Hongxiang Li (Peking University); Yaowei Li (Peking University); Yuexian Zou (Peking University)

PhoGAD: Graph-Based Anomaly Behavior Detection With Persistent Homology Optimization<\/strong>
Ziqi Yuan (Beihang University)*; Haoyi Zhou (Beihang University); Tianyu Chen (Beihang University); Jianxin Li (Beihang University)

MADM: A Model-agnostic Denoising Module for Graph-based Social Recommendation<\/strong>
Wenze Ma (Shanghai Jiao Tong University)*; Yuexian Wang (Shanghai Jiao Tong University); Yanmin Zhu (Shanghai Jiao Tong University); Zhaobo Wang (Shanghai Jiao Tong University); Mengyuan Jing (Shanghai Jiao Tong University); Xuhao Zhao (Shanghai Jiao Tong University); Jiadi Yu (Shanghai Jiao Tong University); Feilong Tang (Shanghai Jiao Tong University)

Likelihood-Based Methods Improve Parameter Estimation in Opinion Dynamics Models<\/strong>
Jacopo Lenti (Centai); Corrado Monti (CENTAI); Gianmarco De Francisci Morales (CENTAI)*

Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices<\/strong>
Jing Zhu (University of Michigan, Ann Arbor)*; Yuhang Zhou (University of Maryland); Vassilis N. Ioannidis (University of Minnesota); Shengyi Qian (University of Michigan); Wei Ai (University of Maryland); Xiang Song (Amazon AWS); Danai Koutra (U Michigan)

Collaboration and Transition: Distilling Item Transitions into Multi-Query Self-Attention for Sequential Recommendation<\/strong>
Tianyu Zhu (University of Montreal)*; Yansong Shi (Tsinghua University); Yuan Zhang (Kuaishou Inc.); Yihong Wu (Universit\u00e9 de Montr\u00e9al); Fengran Mo (Universit\u00e9 de Montr\u00e9al); Jian-Yun Nie (Universit\u00e9 de Montr\u00e9al)

DeSCo: Towards Generalizable and Scalable Deep Subgraph<\/strong>
Tianyu Fu (Tsinghua University)*; Chiyue Wei (Tsinghua University); Yu Wang (Tsinghua University); Rex Ying (Stanford University)

Towards Alignment-Uniformity Aware Representation in Graph Contrastive Learning<\/strong>
Rong Yan (Beijing Jiaotong University); Peng Bao (Beijing Jiaotong University)*; Xiao Zhang (Beijing Jiaotong University); Zhongyi Liu (TravelSky Technology Limited; Civil Aviation Administration of China); Hui Liu (TravelSky Technology Limited; Civil Aviation Administration of China)

Maximizing Malicious Influence in Node Injection Attack<\/strong>
Xiao Zhang (Beijing Jiaotong University); Peng Bao (Beijing Jiaotong University)*; Shirui Pan (Griffith University)

PEFA: Parameter-Free Adapters for Large-scale Embedding-based Retrieval Models<\/strong>
Wei-Cheng Chang (Amazon)*; Jyun-Yu Jiang (Amazon Search); Jiong Zhang (UT-Austin); Mutasem Al-Darabsah (Amazon Search); Choon Hui Teo (Amazon); Cho-Jui Hsieh (UCLA); Hsiang-Fu Yu (Amazon); SVN Vishwanathan (UC Santa Cruz)

Overlapping and Robust Edge-Colored Clustering in Hypergraphs<\/strong>
Alex Crane (University of Utah)*; Brian Lavallee (University of Utah); Blair D Sullivan (University of Utah); Nate Veldt (Texas A&M)

Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels<\/strong>
Fali Wang (Penn State University); Tianxiang Zhao (Penn State University); Suhang Wang (Pennsylvania State University)

CDRNP: Cross-Domain Recommendation to Cold-Start Users via Neural Process<\/strong>
Xiaodong Li (Institute of Information Engineering, Chinese Academy of Sciences)*; Jiawei Sheng ( Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China); Jiangxia Cao (Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China); Tingwen Liu (Institute of Information Engineering, CAS); Wenyuan Zhang (Institute of Information Engineering, Chinese Academy of Sciences); Quangang Li (Institute of Information Engineering, CAS)

Cross-modal Self-Supervised Learning for Time-series through Latent Masking<\/strong>
Shohreh Deldari (University of New South Wales)*; Dimitris Spathis (Nokia Bell Labs); Mohammad Malekzadeh (Nokia Bell Labs); Fahim Kawsar (Nokia Bell Labs); Flora D. Salim (University of New South Wales); Akhil Mathur (Nokia Bell Labs)

COTER: Conditional Optimal Transport meets Table Retrieval<\/strong>
Xun Yao (Wuhan Textile University); Zhixin Zhang (Wuhan Textile University); xinrong Hu (Wuhan Textile University); Jie Yang (University of Wollongong)*; yi guo (WSU); Daniel (Dianliang) Zhu (Auxilis Pty Ltd )

Inverse Learning with Extremely Sparse Feedback for Recommendation<\/strong>
Guanyu Lin (Carnegie Mellon University)*; Chen Gao (Tsinghua University); Yu Zheng (Tsinghua University); Yinfeng Li (Kuaishou Inc); Jianxin Chang (Kuaishou Inc); Yanan Niu (Kuaishou Inc); Yang Song (Kuaishou Technology); Kun Gai (AI); Zhiheng Li (Tsinghua University); Depeng Jin (Tsinghua University); Yong Li (Tsinghua University)

Contextual MAB Oriented Embedding Denoising for Sequential Recommendation<\/strong>
Zhichao Feng (Beijing University of Post and Telecommunications); Pengfei Wang (School of Computer Science, Beijing University of Posts and Telecommunications)*; Kaiyuan Li (Beijing University of Posts and Telecommunications); Chenliang Li (Wuhan University); Shangguang Wang (State Key Laboratory of Networking and Switching Technology)

Exploiting Duality in Open Information Extraction with Predicate Prompt<\/strong>
Zhen Chen (Fudan University)*; Jingping Liu (East China University of Science and Technology); Deqing Yang (Fudan University); Yanghua Xiao (Fudan University); huimin xu (meituan); Zongyu Wang (Meituan); Rui Xie (Meituan); Yunsen Xian (meituan); Yunsen Xian (meituan)

Mixed Attention Network for Cross-domain Sequential Recommendation<\/strong>
Guanyu Lin (Carnegie Mellon University)*; Chen Gao (Tsinghua University); Yu Zheng (Tsinghua University); Jianxin Chang (Kuaishou Inc); Yanan Niu (Kuaishou Inc); Yang Song (Kuaishou Technology); Kun Gai (AI); Zhiheng Li (Tsinghua University ); Depeng Jin (Tsinghua University); Yong Li (Tsinghua University); Meng Wang (Institute of Artificial Intelligence, Hefei Comprehensive National Science Center)

Source Free Graph Unsupervised Domain Adaptation<\/strong>
Haitao Mao (University Of Electronic Science And Technology Of China)*; Lun Du (Microsoft Research); Yujia Zheng (Carnegie Mellon University); Qiang Fu (Microsoft); Zelin Li (Microsoft Research Asia); Xu Chen (Microsoft Research Asia); Shi Han (Microsoft Research); Dongmei Zhang (Microsoft Research Asia)

Knowledge Graph Context-Enhanced Diversified Recommendation<\/strong>
Xiaolong Liu (University of Illinois at Chicago)*; Liangwei Yang (University of Illinois at Chicago); Zhiwei Liu (Salesforce); Mingdai Yang (University of Illinios at Chicago); Chen Wang (University of Illinois at Chicago); Hao Peng (Beihang University); Philip S Yu (UIC)

Generative Models for Complex Logical Reasoning over Knowledge Graphs<\/strong>
Yu Liu (Institute of Information Engineering, Chinese Academy of Sciences; University of Chinese Academy of Sciences); Yanan Cao (Institute of Information Engineering, Chinese Academy of Sciences)*; Shi Wang (* 1. Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences (ICT\/CAS) * 2. University of Chinese Academy of Sciences, Beijing, China); Qingyue Wang (Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China); Guanqun Bi (Institute of Information Engineering, Chinese Academy of Sciences; School of Cyber Security, University of Chinese Academy of Sciences)

Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights<\/strong>
Junchen Fu (Westlake University)*; Fajie Yuan (Westlake University); Yu Song (Westlake University); Zheng Yuan (Westlake University); Mingyue Cheng (University of Science and Technology of China); Shenghui Cheng (Westlake University); Jiaqi Zhang (Westlake University); Jie Wang (Westlake University); Yunzhu Pan (University of Electronic Science and Technology of China)

NeuralReconciler for Hierarchical Time Series Forecasting<\/strong>
Shiyu Wang (antgroup)*

Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation<\/strong>
Yuhao Wang (City University of Hong Kong)*; Ziru Liu (City University Of HongKong ); Yichao Wang (Huawei Noah’s Ark Lab); Xiangyu Zhao (City University of Hong Kong); Bo Chen (Huawei Noah\u2019s Ark Lab); Huifeng Guo (Huawei Noah’s Ark Lab); Ruiming Tang (Huawei Noah’s Ark Lab)

AutoPooling: Automated Pooling Search for Multi-valued Features in Recommendations<\/strong>
He Wei (Tencent Inc.)*; Meixi Liu (Machine learning platform department, Tencent TEG); Yang Zhang (Tencent Inc)

C^2DR: Robust Cross-Domain Recommendation based on Causal Disentanglement<\/strong>
Menglin Kong (Central South University); Jia Wang (Xi’an Jiaotong-Liverpool University)*; Yushan Pan (Xi’an Jiaotong-Liverpool University); Haiyang Zhang (Xi’an Jiaotong-Liverpool University); Muzhou Hou (Central South Uinversity)

Calibration-compatible Listwise Distillation of Privileged Features for CTR Prediction<\/strong>
Xiaoqiang Gui (Shandong University)*; Yueyao Cheng (Alibaba Group); Xiang-Rong Sheng (Alibaba Group); Yunfeng Zhao (Shandong University); Guoxian Yu (Shandong University); Shuguang Han (Alibaba Inc.); Yuning Jiang (Alibaba Group); Jian Xu (Alibaba Group); Bo Zheng (Alibaba Group)

Unified Pretraining for Recommendation via Task Hypergraphs<\/strong>
Mingdai Yang (University of Illinios at Chicago)*; Zhiwei Liu (Salesforce); Liangwei Yang (University of Illinois at Chicago); Xiaolong Liu (University of Illinois at Chicago); Chen Wang (University of Illinois at Chicago); Hao Peng (Beihang University); Philip S Yu (UIC)

Customized and Robust Deep Neural Network Watermarking<\/strong>
Tzu-Yun Chien (National Tsing Hua University); Chih-Ya Shen (National Tsing Hua University)*

Multi-Intent Attribute-Aware Text Matching in Searching<\/strong>
Mingzhe Li (Peking University)*; Xiuying Chen (KAUST); Jing Xiang (Ant Group); Qishen Zhang (Ant Group); Changsheng Ma (King Abdullah University of Science and Technology ); Chenchen Dai (Ant Group); Jinxiong Chang (Ant Group); Zhongyi Liu (Ant Group); Guannan Zhang (Ant Group)

SSLRec: A Self-Supervised Learning Library for Recommendation<\/strong>
Xubin Ren (the University of Hong Kong)*; Lianghao Xia (University of Hong Kong); Yuhao Yang (Wuhan University); Wei Wei (University of Hong Kong); Tianle Wang (HKU); Xuheng Cai (The University of Hong Kong); Chao Huang (University of Hong Kong)


Multi-Sequence Attentive User Representation Learning for Side-information Integrated Sequential Recommendation<\/strong>
Xiaolin Lin (Shenzhen University)*; Jinwei Luo (Shenzhen University); Junwei Pan (Tencent); Weike Pan (Shenzhen University); Zhong Ming (Shenzhen University); Xun Liu (Tencent); HUANG SHUDONG (tencent); Jie Jiang (Tencent Inc.)

LabelCraft: Empowering Short Video Recommendations with Automated Label Crafting<\/strong>
Yimeng Bai (University of Science and Technology of China)*; Yang Zhang (University of Science and Technology of China); Jing Lu (Kuaishou Inc); Jianxin Chang (Kuaishou Inc); Xiaoxue Zang (Kuaishou Inc); Yanan Niu (Kuaishou); Yang Song (Kuaishou Technology); Fuli Feng (University of Science and Technology of China)

MONET: Modality-Embracing Graph Convolutional Network and Target-Aware Attention for Multimedia Recommendation<\/strong>
Yungi Kim (Hanyang University); Taeri Kim (Hanyang University); Won-Yong Shin (Yonsei University, Korea); Sang-Wook Kim (Hanyang University, Korea)*

Temporal Blind Spots in Large Language Models<\/strong>
Jonas Wallat (L3S Research Center)*; Adam Jatowt (University of Innsbruck); Avishek Anand (TU Delft)

Ranking with Long-Term Constraints<\/strong>
Kiant\u00e9 Brantley (Cornell University)*; Thorsten Joachims (Cornell); Sarah Dean (Cornell University); Zhichong Fang (Cornell Univeristy)

MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization<\/strong>
Dongcheng Zou (Beihang University)*; Senzhang Wang (Central South University); li xuefeng (Beihang university); Hao Peng (Beihang University); Yuandong Wang (Tsinghua University); Chunyang Liu (didichuxing); KEHUA SHENG ( Beijing DiDi Infinity Technology and Development Co., Ltd. ); Bo Zhang (Didi Chuxing)

RecJPQ: Training Large-Catalogue Sequential Recommenders<\/strong>
Aleksandr V Petrov (University of Glasgow)*; Craig Macdonald (University of Glasgow)

Robust Training for Conversational Question Answering Models with Reinforced Reformulation Generation<\/strong>
Magdalena Kaiser (Max Planck Institute for Informatics)*; Rishiraj Saha Roy (Max Planck Institute for Informatics); Gerhard Weikum (Max-Planck-Institut fur Informatik)

On the Effectiveness of Unlearning in Session-Based Recommendation<\/strong>
Xin Xin (Shandong University); Liu Yang (Shandong University)*; Ziqi Zhao (Shandong University); Pengjie Ren (Shandong University); Zhumin Chen (Shandong University); Jun Ma (Shandong University); Zhaochun Ren (Leiden University)

Proxy-based Item Representation for Attribute and Context-aware Recommendation<\/strong>
Jinseok Seol (Seoul National University)*; Minseok Gang (Seoul National University); Sang-goo Lee (Seoul National University); Jaehui Park (University of Seoul)

Fly-Swat or Cannon? Cost-Effective Language Model Choice via Meta-Modeling<\/strong>
Marija Sakota (EPFL)*; Maxime Peyrard (EPFL); Robert West (EPFL)

Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function<\/strong>
Binghui Wang (Illinois Institute of Technology); Minhua Lin (Pennsylvania State University)*; Tianxiang Zhou (Huazhong University of Science and Technology); Pan Zhou (Huazhong University of Science and Technology); Ang Li (University of Maryland); MENG PANG (Nanchang University); Hai Li (Duke University); Yiran Chen (Duke University)

Interpretable Imitation Learning with Dynamic Causal Relations<\/strong>
Tianxiang Zhao (Penn State University)*; Wenchao Yu (UCLA); Suhang Wang (Pennsylvania State University); Lu Wang (East China Normal University); Xiang Zhang (The Pennsylvania State University); Yuncong Chen (NEC Laboratories America, Inc.); Yanchi Liu (NEC Labs America); Wei Cheng (NEC Laboratories America); Haifeng Chen (NEC Labs)

IncMSR: An Incremental Learning Approach for Multi-Scenario Recommendation<\/strong>
Kexin Zhang (Tsinghua University)*; Yichao Wang (Huawei Noah’s Ark Lab); Xiu Li (Tsinghua University); Ruiming Tang (Huawei Noah’s Ark Lab); Rui Zhang (ruizhang.info)

Deep Evolutional Instant Interest Network for CTR Prediction in Trigger-Induced Recommendation<\/strong>
Zhibo Xiao (Alibaba Group)*; Luwei Yang (Alibaba Group); Tao Zhang (Alibaba Group); Wen Jiang (Alibaba Group); Wei Ning ( Alibaba Group); Yujiu Yang (Tsinghua University)

User Consented Federated Recommender System Against Personalized Attribute Inference Attack<\/strong>
Qi Hu (Hong Kong University of Science and Technology)*; Yangqiu Song (Hong Kong University of Science and Technology)

Continuous-time Autoencoders for Regular and Irregular Time Series Imputation<\/strong>
Hyowon Wi (Yonsei University); Yehjin Shin (Yonsei University); Noseong Park (Yonsei University)*

Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering<\/strong>
Huiyuan Chen (Visa Research)*; Vivian Lai (Visa Research); Hongye Jin (Texas A&M University); Zhimeng Jiang (Texas A&M University); Mahashweta Das (Visa Research); Xia Hu (Rice University)

Long-Term Value of Exploration: Measurements, Findings and Algorithms<\/strong>
Yi Su (Google)*; Ya Le (Google); Xiangyu Wang (Google); Liang Liu (Google); Yuening Li (Texas A&M University); Haokai Lu (Google); Benjamin Lipshitz (Google); Sriraj Badam (Google); Lukasz Heldt (Google); Shuchao Bi (Google); Ed H. Chi (Google); Cristos Goodrow (Google); Su-Lin Wu (Google); Lexi Baugher (Google); Minmin Chen (Google)

MAD: Multi-Scale Anomaly Detection in Link Streams<\/strong>
Esteban Bautista (IMT Atlantique)*; C\u00e9cile Bothorel (IMT Atlantique); Laurent Brisson (IMT Atlantique); Gr\u00e9gory Smits (IMT Atlantique \/ Lab-STICC)

SCAD: Subspace Clustering based Adversarial Detector<\/strong>
Xinrong Hu (Wuhan Textile University); Wushuan Chen (Wuhan Textile University); Jie Yang (University of Wollongong)*; yi guo (WSU); Xun Yao (Wuhan Textile University); Bangchao Wang (Wuhan Textile University); junping Liu (Wuhan Textile University); Ce Xu (Wuhan Textile University)

Empathetic Response Generation with Relation-aware Commonsense Knowledge<\/strong>
Changyu Chen (Renmin University of China)*; Yanran Li (Xiaomi AI Lab); Chen Wei (Xiaomi AI Lab); Jianwei Cui (Xiaomi AI Lab.); Bin Wang (Xiaomi AI Lab); Rui Yan (Renmin University of China)

Neural Kalman Filtering for Robust Temporal Recommendation<\/strong>
Jiafeng Xia (Fudan University)*; Dongsheng Li (Microsoft Research Asia); Hansu Gu (Amazon.com); Tun Lu (Fudan University); Peng Zhang (Fudan University); Li Shang (Fudan University); Ning Gu (Fudan University)

From Second to First: Mixed Censored Multi-Task Learning for Winning Price Prediction<\/strong>
Jiani Huang (Shanghai Jiao Tong University)*; Zhenzhe Zheng (Shanghai Jiao Tong University); Yanrong Kang (Tencent); Zixiao Wang (Shanghai Jiao Tong University)

Cost-Effective Active Learning for Bid Exploration in Online Advertising<\/strong>
Zixiao Wang (Shanghai Jiao Tong University)*; Zhenzhe Zheng (Shanghai Jiao Tong University); Yanrong Kang (Tencent); Jiani Huang (Shanghai Jiao Tong University)

Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction<\/strong>
Yakun Wang (Ant Group)*; Binbin Hu (Ant Group); Shuo Yang (Ant Group); Meiqi Zhu (Ant Group); Zhiqiang Zhang (Ant Group); Qiyang Zhang (Ant Group); Jun Zhou (Ant Financial); Guo Ye (antgroup); HUIMEI HE (antgroup)

Attribute Simulation for Item Embedding Enhancement in Multi-interest Recommendation<\/strong>
Yaokun Liu (Tianjin University)*; Xiaowang Zhang (Tianjin University); Minghui Zou (Tianjin University); Zhiyong Feng (Tianjin University)

Rethinking and Simplifying Bootstrapped Graph Latents<\/strong>
Wangbin Sun (Sun Yat-sen University)*; Jintang Li (Sun Yat-sen University); Liang Chen (Sun Yat-sen University); Bingzhe Wu (Peking University); Yatao Bian (Tencent AI Lab); Zibin Zheng (Sun Yat-sen University)

LMBot: Distilling Graph Knowledge into Language Model for Graph-less Deployment in Twitter Bot Detection<\/strong>
Zijian Cai (Xi’an Jiaotong University)*; Zhaoxuan Tan (University of Notre Dame); Zhenyu Lei (Xi”an jiao tong university); Zifeng Zhu ( Xi’an Jiaotong University); Hongrui Wang (Xi’an Jiaotong University); Qinghua Zheng (Xi’an Jiaotong University); Minnan Luo (School of Electronic and Information Engineering, Xi’an Jiaotong University)

FairIF: Boosting Fairness in Deep Learning via Influence Functions with Validation Set Sensitive Attributes<\/strong>
Haonan Wang (National University of Singapore); Ziwei Wu (University of Illinois at Urbana-Champaign)*; Jingrui He (University of Illinois at Urbana-Champaign)

ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models<\/strong>
Qijiong Liu (The Hong Kong Polytechnic University)*; NUO CHEN (Waseda University); Tetsuya Sakai (Waseda University); Xiao-Ming Wu (PolyU Hong Kong)

Ad-load Balancing via Off-policy Learning in a Content Marketplace<\/strong>
Hitesh Sagtani (Sharechat)*; Madan Gopal Jhawar (Sharechat); Rishabh Mehrotra (Sharechat); Olivier Jeunen (ShareChat)

Chinese Spelling Check, Datasets, Chinese Mobile Search Engine<\/strong>
Yue Wang (Soochow University)*; zilong zhen (Soochow University); Zecheng Tang (Soochow University); Li JunTao (Soochow University); zhihui liu (Ant Group); kunlong chen (ant group); Jinxiong Chang (Ant group); Qishen Zhang (Ant Group); Zhongyi Liu (Ant Group); Min Zhang (Soochow University)

Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure<\/strong>
Jiyuan Yang (Shandong University)*; Yue Ding (Shanghai Jiao Tong University); YIDAN WANG (SHANDONG UNIVERSITY); Pengjie Ren (Shandong University); Zhumin Chen (Shandong University); Fei Cai (National University of Defense Technology); Jun Ma (Shandong University); Rui Zhang (ruizhang.info); Zhaochun Ren (Leiden University); Xin Xin (Shandong University)

IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification<\/strong>
Abdullah Alsuhaibani (University of Technology Sydney)*; Hamad A Zogan (University of Technology Sydney ); Imran Razzak (UNSW); Shoaib Jameel (University of Southampton); Guandong Xu (University of Technology Sydney, Australia)

Knowledge Graph Diffusion Model for Recommendation<\/strong>
Yangqin Jiang (University of Hong Kong)*; Yuhao Yang (Wuhan University); Lianghao Xia (University of Hong Kong); Chao Huang (University of Hong Kong)

CL4DIV: A Contrastive Learning Framework for Search Result Diversification<\/strong>
Zhirui Deng (Renmin University of China)*; Zhicheng Dou (Renmin University of China); Yutao Zhu (University of Montreal); Ji-Rong Wen (Renmin University of China)

Professional Network Matters: Connections Empower Person-Job Fit<\/strong>
Hao Chen (Beijing Normal University)*; Lun Du (Microsoft Research); Yuxuan Lu (Northeastern University); Qiang Fu (Microsoft); Xu Chen (Microsoft Research Asia); Shi Han (Microsoft Research); Yan Bin Kang (LinkedIn); Guangming Lu (LinkedIn Corporation ); Zi Li (LinkedIn Corp)

Large Language Models for Data Aumgnetation in Recommendation<\/strong>
Wei Wei (University of Hong Kong)*; Xubin Ren (the University of Hong Kong); Jiabin Tang (University of Hong Kong); Qinyong Wang (Baidu Inc); Lixin Su (University of Chinese Academy of Sciences); Suqi Cheng (Baidu Inc.); junfeng wang (Baidu); Dawei Yin (Baidu); Chao Huang (University of Hong Kong)

Leveraging Multimodal Features and Item-level User Feedback for Bundle Construction<\/strong>
Yunshan Ma (National University of Singapore )*; Xiaohao LIU (Chinese Academy of Science); Yinwei Wei (National University of Singapore); zhulin tao (Communication University of China); Xiang Wang (National University of Singapore); Tat-Seng Chua (National university of Singapore)

Interact with the Explanations: Causal Debiased Explainable Recommendation System<\/strong>
Xu Liu (Shanghai Jiao Tong University); Tong Yu (Adobe Research); Kaige Xie (Georgia Institute of Technology); Junda Wu (New York University); Shuai Li (Shanghai Jiao Tong University)*

Let the LLMs Talk: Simulating Human-to-Human Conversational QA via Zero-Shot LLM-to-LLM Interactions<\/strong>
Zahra Abbasiantaeb (University of Amsterdam)*; Yifei Yuan (The Chinese University of Hong Kong); Evangelos Kanoulas (University of Amsterdam); Mohammad Aliannejadi (University of Amsterdam)

Global Heterogeneous Graph and Target Interest Denoising for Multi-behavior Sequential Recommendation<\/strong>
Xuewei Li (Tianjin University); Hongwei Chen (College of Intelligence and Computing, Tianjin University)*; Jian Yu (Tianjin University); Mankun Zhao (Tianjin University); Tianyi Xu (Tianjin University); Wenbin Zhang (Information and Network Center, Tianjin University); Mei Yu (Tianjin University)

Unified Visual Preference Learning for User Intent Understanding<\/strong>
Yihua Wen (Wuhan University); Si Chen (Alibaba Group China ); Yu Tian (Wuhan University China); Wanxian Guan (alibaba group); Pengjie Wang (Alibaba Group China); Hongbo Deng (Alibaba Group China); Jian Xu (Alibaba Group); Bo Zheng (Alibaba Group); Zihao Li (Wuhan University); Lixin Zou (Wuhan University); Chenliang Li (Wuhan University)*

MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems<\/strong>
Dugang Liu (Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University)*; Chaohua Yang (Shenzhen University); Xing Tang (Tencent); Yejing Wang (City University of Hongkong); Fuyuan Lyu (McGill University); weihong luo (tencent); Xiuqiang He (Tencent); Zhong Ming (Shenzhen University); Xiangyu Zhao (City University of Hong Kong)

TemporalMed: Advancing Medical Dialogues with Time-Aware Responses<\/strong>
Yuyan Chen (Fudan University)*; jin zhao (fudan university); Zhihao Wen (Singapore Management University); Zhixu Li (Fudan University); Yanghua Xiao (Fudan University)
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