KDD25 Research Track - Sessions

	A	B	C	D	E
1		Paper ID	Paper Cycle	Paper Title	Author(s)
2
3	Research Papers			Room 701A

4	Tuesday, August 5			08:00-10:00
5	THEME:	Recommender Systems 1
6	SESSION CHAIR:	Tong Chen (The University of Queensland)
7	1	rtfa0384	August	Learning Attribute as Explicit Relation for Sequential Recommendation	Gang Liu:University of Notre Dame;Fan Yang:Amazon;Yang Jiao:Amazon;Alireza Bagheri Garakani:Amazon;Tian Tong:Amazon;Yan Gao:Amazon;Meng Jiang:University of Notre Dame
8	2	rtfb1681	February	Improving Long-tail User CTR Prediction via Hierarchical Distribution Alignment	Yifan Wang:Tsinghua University;Weizhi Ma:Institute for AI Industry Research, Tsinghua University;Min Zhang:Tsinghua University;Xiaoxiao Xu:Kuaishou Technology;Zhiqiang Liu:Kuaishou Technology;Shaoping Ma:Tsinghua University
9	3	rtfb2296	February	Time Matters: Enhancing Sequential Recommendations with Time-Guided Graph Neural ODEs	Haoyan Fu:Beijing Institute of Technology;Zhida Qin:Beijing Institute of Technology;Shixiao Yang:Beijing Institute of Technology;Haoyao Zhang:Beijing Institute of Technology;Bin Lu:Shanghai Jiao Tong University;Shuang Li:Beihang University;Tianyu Huang:Beijing Institute of Technology;John C.S. Lui:The Chinese University of Hong Kong
10	4	rtfb2519	February	SMA-GNN: A Symbol-Aware Graph Neural Network for Signed Link Prediction in Recommender Systems	Yumeng Zhao:School of Computer Science and Technology, University of Science and Technology of China;Hongxiang Lin:Wangxuan Institute of Computer Technology, Peking University;Shuo Wen:School of Computer Science, McGill University;Junjie Shen:School of Computer Science and Technology, University of Science and Technology of China;Bei Hua:School of Computer Science and Technology, University of Science and Technology of China
11	5	rtfa0958	August	Combinatorial Optimization Perspective based Framework for Multi-behavior Recommendation	Chenhao Zhai:Shenzhen International Graduate School, Tsinghua University;Chang Meng:Kuaishou Technology;Yu Yang:Shenzhen International Graduate School, Tsinghua University;Kexin Zhang:Shenzhen International Graduate School, Tsinghua University;Xuhao Zhao:School of Electronic Information and Electrical Engineering, Shanghai Jiaotong University;Xiu Li:Shenzhen International Graduate School, Tsinghua University
12	6	rtfb0709	February	Revisiting Self-Attention for Cross-Domain Sequential Recommendation	Clark Mingxuan Ju:Snap Inc.;Leonardo Neves:Snap Inc.;Bhuvesh Kumar:Snap Inc.;Liam Collins:Snap Inc.;Tong Zhao:Snap Inc.;Yuwei Qiu:Snap Inc.;Qing Dou:Snap Inc.;Sohail Nizam:Snap Inc.;Sen Yang:Snap Inc.;Neil Shah:Snap Inc.
13
14	Tuesday, August 5			13:00-15:00
15	THEME:	Recommender Systems 2
16	SESSION CHAIR:	Pooya Moradian Zadeh (University of Windsor)
17	1	rtfa0404	August	Understanding the Effect of Loss Functions on the Generalization of Recommendations	Yuanhao Pu:University of Science and Technology of China,State Key Laboratory of Cognitive Intelligence;Defu Lian:University of Science and Technology of China,State Key Laboratory of Cognitive Intelligence;Xiaolong Chen:University of Science and Technology of China,State Key Laboratory of Cognitive Intelligence;Jin Chen:Hong Kong University of Science and Technology;Ze Liu:University of Science and Technology of China,State Key Laboratory of Cognitive Intelligence;Enhong Chen:University of Science and Technology of China,State Key Laboratory of Cognitive Intelligence
18	2	rtfb0987	February	Breaking the Top-$K$ Barrier: Advancing Top-$K$ Ranking Metrics Optimization in Recommender Systems	Weiqin Yang:Zhejiang University;Jiawei Chen:Zhejiang University;Shengjia Zhang:Zhejiang University;Peng Wu:Beijing Technology and Business University;Yuegang Sun:Intelligence Indeed;Yan Feng:Zhejiang University;Chun Chen:Zhejiang University;Can Wang:Zhejiang University
19	3	rtfb0010	February	Embed Progressive Implicit Preference in Unified Space for Deep Collaborative Filtering	Zhongjin Zhang:Central South University;Yu Liang:Central South University;Cong Fu:Shopee Pte. Ltd;Yuxuan Zhu:Shopee Pte. Ltd;Kun Wang:Shopee Pte. Ltd;Yabo Ni:Nanyang Technological University;Anxiang Zeng:SCSE, Nanyang Technological University;Jiazhi Xia:Central South University
20	4	rtfb0477	February	On the Role of Weight Decay in Collaborative Filtering: A Popularity Perspective	Donald Loveland:University of Michigan, Ann Arbor;Mingxuan Ju:Snap Inc.;Tong Zhao:Snap Inc.;Neil Shah:Snap Inc.;Danai Koutra:University of Michigan, Ann Arbor
21	5	rtfb2361	February	LLM2Rec: Large Language Models Are Powerful Embedding Models for Sequential Recommendation	Yingzhi He,Xiaohao Liu,An Zhang,Yunshan Ma,Tat-Seng Chua
22	6	rtfa0127	August	Generalizable Recommender System During Temporal Popularity Distribution Shifts	Hyunsik Yoo:University of Illinois Urbana-Champaign;Ruizhong Qiu:University of Illinois Urbana-Champaign;Charlie Xu:Amazon.com, Inc.;Fei Wang:Amazon.com, Inc.;Hanghang Tong:University of Illinois Urbana-Champaign
23
24	Tuesday, August 5			15:30-17:30
25	THEME:	Recommender Systems 3
26	SESSION CHAIR:	Matilde Pato (Instituto Politécnico de Lisboa)
27	1	rtfa0573	August	Controlling Diversity at Inference: Guiding Diffusion Recommender Models with Targeted Category Preferences	Gwangseok Han:Pohang University of Science and Technology;Wonbin Kweon:Pohang University of Science and Technology;Minsoo Kim:Pohang University of Science and Technology;Hwanjo Yu:Pohang University of Science and Technology
28	2	rtfb1612	February	Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity	Shiyin Tan:Institute of Science Tokyo;Dongyuan Li:The University of Tokyo;Renhe Jiang:The University of Tokyo;Zhen Wang:Institute of Science Tokyo;Xingtong Yu:Singapore Management University;Manabu Okumura:Institute of Science Tokyo
29	3	rtfb2465	February	GORACS: Group-level Optimal Transport-guided Coreset Selection for LLM-based Recommender Systems	Tiehua Mei:School of Data Science, Fudan University;Hengrui Chen:School of Data Science, Fudan University;Peng Yu:School of Data Science, Fudan University;Jiaqing Liang:School of Data Science, Fudan University;Deqing Yang:School of Data Science, Fudan University
30	4	rtfb0556	February	Flow Matching for Collaborative Filtering	Chengkai Liu:Texas A&M University;Yangtian Zhang:Yale University;Jianling Wang:Google DeepMind;Rex Ying:Yale University;James Caverlee:Texas A&M University
31	5	rtfb0228	February	Multi-Grained Preference Enhanced Transformer for Multi-Behavior Sequential Recommendation	Chuan He:Zhejiang University of Technology;Yongchao Liu:Ant Group;Qiang Li:Zhejiang University of Technology;Weiqiang Wang:Ant Group;Xing Fu:Ant Group;Xinyi Fu:Ant group;Chuntao Hong:Ant Group;Xinwei Yao:Zhejiang University of Technology
32	6	rtfb2345	February	Breaking the Bottleneck: User-Specific Optimization and Real-Time Inference Integration for Sequential Recommendation	Wenjia Xie:University of Science and Technology of China, State Key Laboratory of Cognitive Intelligence;Hao Wang:University of Science and Technology of China, State Key Laboratory of Cognitive Intelligence;Minghao Fang:University of Science and Technology of China, State Key Laboratory of Cognitive Intelligence;ruize yu:University of Science and Technology of China, State Key Laboratory of Cognitive Intelligence;Wei Guo:Huawei Noah's Ark Lab;Yong Liu:Huawei Noah's Ark Lab;Defu Lian:University of Science and Technology of China, State Key Laboratory of Cognitive Intelligence;Enhong Chen:University of Science and Technology of China, State Key Laboratory of Cognitive Intelligence
33
34	Wednesday, August 6			13:00-15:00
35	THEME:	Efficient Language Models
36	SESSION CHAIR:	Meng Jiang (University of Notre Dame)
37	1	rtfa0745	August	PipeRAG: Fast Retrieval-Augmented Generation via Adaptive Pipeline Parallelism	Wenqi Jiang:ETH Zurich;Shuai Zhang:Amazon Web Services;Boran Han:Amazon Web Services;Jie Wang:Meta;Bernie Wang:Amazon Web Services;Tim Kraska:Massachusetts Institute of Technology
38	2	rtfa1203	August	Scaling the Vocabulary of Non-autoregressive Models for Fast Generative Retrieval	Ravisri Valluri:Microsoft Research;Akash Kumar Mohankumar:Microsoft;Kushal Dave:Microsoft;Amit Singh:Microsoft;Jian Jiao:Microsoft;Manik Varma:Microsoft Research;Gaurav Sinha:Microsoft Research
39	3	rtfb0196	February	EARN: Efficient Inference Acceleration for LLM-based Generative Recommendation by Register Tokens	Chaoqun Yang:Tsinghua University;Xinyu Lin:National University of Singapore;Wenjie Wang:University of Science and Technology of China;Yongqi Li:Hong Kong Polytechnic University;Teng Sun:Shandong University;Xianjing Han:National University of Singapore;Tat-Seng Chua:National University of Singapore
40	4	rtfb1604	February	Efficient Heuristics Generation for Solving Combinatorial Optimization Problems Using Large Language Models	Xuan Wu:College of Computer Science and Technology, Jilin University;Di Wang:LILY Research Centre, Nanyang Technological University;Chunguo Wu:Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University;Lijie Wen:School of Software, Tsinghua University;Chunyan Miao:LILY Research Centre, Nanyang Technological University;Yubin Xiao:College of Computer Science and Technology, Jilin University;You Zhou:College of Software, Jilin University
41	5	rtfb0947	February	Co-Evolution of Large Language Models and Configuration Strategies to Enhance Surrogate-Assisted Evolutionary Algorithm	Lindong Xie:The Hong Kong Polytechnic University;Yang Zhang:The Hong Kong Polytechnic University;Zhixian Tang:The Hong Kong Polytechnic University;Edward Chung:The Hong Kong Polytechnic University;Genghui Li:Shenzhen University;Zhenkun Wang:Southern University of Science and Technology
42	6	rtfb2205	February	Generating Long Semantic IDs in Parallel for Recommendation	Yupeng Hou:University of California, San Diego;Jiacheng Li:Meta AI;Ashley Shin:University of California, San Diego;Jinsung Jeon:University of California, San Diego;Abhishek Santhanam:University of California, San Diego;Wei Shao:Meta AI;Kaveh Hassani:Meta AI;Ning Yao:Meta AI;Julian McAuley:University of California, San Diego
43
44	Wednesday, August 6			15:30-17:30
45	THEME:	Graph Robustness
46	SESSION CHAIR:	Jaewon Yang (Pinterest)
47	1	rtfb0761	February	Discrepancy-Aware Graph Mask Auto-Encoder	Ziyu Zheng:School of Computer Science and Technology, Xidian University;Yaming Yang:School of Computer Science and Technology, Xidian University;Ziyu Guan:School of Computer Science and Technology, Xidian University;Wei Zhao:School of Computer Science and Technology, Xidian University;Weigang Lu:School of Computer Science and Technology, Xidian University
48	2	rtfa0152	August	On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and Applications	Hyeonsoo Jo:KAIST;Hyunjin Hwang:KAIST;Fanchen Bu:KAIST;Soo Yong Lee:KAIST;Chanyoung Park:KAIST;Kijung Shin:KAIST
49	3	rtfb1475	February	Revisiting Graph Adversarial Attack: A Perspective of Budget Optimization	Xiangchao Wen:School of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC);Zhen Liu:School of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC);Yuxin You:School of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC)
50	4	rtfb0317	February	Prompt as a Double-Edged Sword: A Dynamic Equilibrium Gradient-Assigned Attack against Graph Prompt Learning	Ju Jia:School of Cyber Science and Engineering, Southeast University,Engineering Research Center of Blockchain Application, Supervision and Management (Southeast University), Ministry of Education;Jingxuan Yu:School of Cyber Science and Engineering, Southeast University;Di Wu:School of Mathematics, Physics and Computing, University of Southern Queensland;Cong Wu:University of Hong Kong;Hengjie Zhu:University of the Chinese Academy of Sciences;Lina Wang:Wuhan University
51	5	rtfb1697	February	Verification of Incomplete Graph Unlearning through Adversarial Perturbations	Kun Wu:Stevens Institute of Technology;Wendy Hui Wang:Stevens Institute of Technology
52	6	rtfb0216	February	Robustness Evaluation of Graph-based News Detection Using Network Structural Information	Xianghua Zeng:State Key Laboratory of Software Development Environment, Beihang University;Hao Peng:State Key Laboratory of Software Development Environment, Beihang University;Angsheng Li:State Key Laboratory of Software Development Environment, Beihang University
53
54	Thursday, August 7			08:15-10:15
55	THEME:	Recommender Systems 4
56	SESSION CHAIR:	Jae-Gil Lee (Korea Advanced Institute of Science and Technology)
57	1	rtfa0668	August	HRSTORY: Historical News Review Based Online Story Discovery	Renjie Zhou:Key Laboratory of Complex Systems Modeling and Simulation of the Ministry of Education, Hangzhou Dianzi University;Haoran Ye:Key Laboratory of Complex Systems Modeling and Simulation of the Ministry of Education, Hangzhou Dianzi University;Wan Jian:Zhejiang University of Science and Tecnology;Yong Liao:University of Science and Technology of China
58	2	rtfa0195	August	Online Item Cold-Start Recommendation with Popularity-Aware Meta-Learning	Yunze Luo:School of CS, Peking University;Yuezihan Jiang:Kuaishou Technology;Yinjie Jiang:Kuaishou Technology;Gaode Chen:Kuaishou Technology;Jingchi Wang:School of CS, Peking University;Kaigui Bian:School of CS, Peking University;Peiyi Li:Kuaishou Technology;Qi Zhang:Kuaishou Technology
59	3	rtfb0873	February	Generative Next POI Recommendation with Semantic ID	Dongsheng Wang:University of Electronic Science and Technology of China;Yuxi Huang:University of Electronic Science and Technology of China;Shen Gao:University of Electronic Science and Technology of China;Yifan Wang:University of Electronic Science and Technology of China;Chengrui Huang:University of Electronic Science and Technology of China;Shuo Shang:University of Electronic Science and Technology of China
60	4	rtfa0188	August	APEX^2: Adaptive and Extreme Summarization for Personalized Knowledge Graphs	Zihao Li:University of Illinois Urbana-Champaign;Dongqi Fu:Meta AI, Meta;Mengting Ai:University of Illinois Urbana-Champaign;Jingrui He:University of Illinois Urbana-Champaign
61	5	rtfb2167	February	Boosting E-commerce Content Diversity: A Graph-based RAG Approach with User Reviews	Jiaxi Yang:College of Information Sciences and Technology, The Pennsylvania State University;Yiling Jia:DeepMind, Google;Carl Yang:Department of Computer Science, Emory University;Yi Liang:DeepMind, Google;Lu Lin:College of Information Sciences and Technology, The Pennsylvania State University
62	6	rtfb1568	February	Bridging Textual-Collaborative Gap through Semantic Codes for Sequential Recommendation	Enze Liu:Gaoling School of Artificial Intelligence, Renmin University of China;Bowen Zheng:Gaoling School of Artificial Intelligence, Renmin University of China;Wayne Xin Zhao:Gaoling School of Artificial Intelligence, Renmin University of China;Ji-Rong Wen:Gaoling School of Artificial Intelligence, Renmin University of China
63
64	Thursday, August 7			13:00-15:00
65	THEME:	Recommender Systems 6
66	SESSION CHAIR:	P. Y. Mok (The Hong Kong University of Science and Technology)
67	1	rtfa0674	August	R^2MR: Review and Rewrite Modality for Recommendation	Gu Tang:Shanghai Jiao Tong University;Jinghe Wang:Shanghai Jiao Tong University;Xiaoying Gan:Shanghai Jiao Tong University;Bin Lu:Shanghai Jiao Tong University;Ze Zhao:Shanghai Jiao Tong Universityy;Luoyi Fu:Shanghai Jiao Tong University;Xinbing Wang:Shanghai Jiao Tong University;Chenghu Zhou:Chinese Academy of Sciences
68	2	rtfb1255	February	Preference-Optimized Retrieval and Ranking for Efficient Multimodal Recommendation	Zhenrui Yue:University of Illinois Urbana-Champaign;Huimin Zeng:University of Illinois Urbana-Champaign;Yueqi Wang:UC Berkley;Julian McAuley:UC San Diego;Dong Wang:University of Illinois at Urbana-Champaign
69	3	rtfa0624	August	Seeing the Unseen in Micro-Video Popularity Prediction: Self-Correlation Retrieval for Missing Modality Generation	Zhangtao Cheng:University of Electronic Science and Technology of China;Jian Lang:University of Electronic Science and Technology of China;Ting Zhong:University of Electronic Science and Technology of China;Fan Zhou:University of Electronic Science and Technology of China
70	4	rtfb0256	February	MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets	Jinfeng Xu:Department of Electrical and Electronic Engineering, The University of Hong Kong;Zheyu Chen:Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University;Jinze Li:The Department of Electrical and Electronic Engineering, The University of Hong Kong;Shuo Yang:Department of Electrical and Electronic Engineering, The University of Hong Kong;Hewei Wang:Robotics Institute, Carnegie Mellon University;Yijie Li:Robotics Institute, Carnegie Mellon University;Mengran Li:School of Intelligent Systems Engineering, Sun Yat-sen University;Puzhen Wu:Population Health Sciences, Weill Cornell Medicine, Cornell University;Edith C. H. Ngai:Department of Electrical and Electronic Engineering, University of Hong Kong
71	5	rtfb0005	February	One-shot Multi-view Visual Conversational Recommendation	Noriaki Kawamae
72	6	rtfb1877	February	Adapting Large Vision-Language Models to Visually-Aware Conversational Recommendation	Hyunsik Jeon:University of California, San Diego;Satoshi Koide:Toyota Motor Corporation;Yu Wang:University of California, San Diego;Zhankui He:Google DeepMind;Julian McAuley:University of California, San Diego
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100