KDD

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing

Zhufeng Lu, Chentao Jia, Ming Hu, Xiaofei Xie, Mingsong Chen

机构 * East China Normal University（华东师范大学） ； Singapore Management University（新加坡国立管理学院） 纠错

Comments This paper has been accepted by ACM SIGKDD 2025

Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift

Tianrun Yu, Jiaqi Wang, Haoyu Wang, Mingquan Lin, Han Liu, Nelson S. Yee, Fenglong Ma

机构 * The Pennsylvania State University（宾夕法尼亚州立大学） ； State University of New York at Albany（纽约州立大学阿尔巴尼分校） ； University of Minnesota Twin Cities（明尼苏达大学双城分校） ； Dalian University of Technology（大连理工大学） 纠错

Comments 18 pages, accepted to the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD' 25), Toronto, Canada, August 3-7 2025

Contextual Bandits in Payment Processing: Non-uniform Exploration and Supervised Learning

Akhila Vangara, Alex Egg

机构 * Adyen 纠错

Comments 7 pages, 10 figures, submitted to KDD '25

Offline Trajectory Optimization for Offline Reinforcement Learning

Ziqi Zhao, Zhaochun Ren, Liu Yang, Yunsen Liang, Fajie Yuan, Pengjie Ren, Zhumin Chen, jun Ma, Xin Xin

机构 * Shandong University（山东大学） ； Leiden University（莱顿大学） ； Westlake University（西湖大学） 纠错

Comments Accepted at SIGKDD 2025

State-Inference-Based Prompting for Natural Language Trading with Game NPCs

Minkyung Kim, Junsik Kim, Hwidong Bae, Woongcheol Yang, Sangdon Park, Sohee Bae

机构 * Amazon（亚马逊） 纠错

Comments 9 pages main content, 4 pages appendix, 3 figures. Accepted to the KDD 2025 Workshop on Prompt Optimization

Multi-level Mixture of Experts for Multimodal Entity Linking

Zhiwei Hu, Víctor Gutiérrez-Basulto, Zhiliang Xiang, Ru Li, Jeff Z. Pan

机构 * School of Computer ； Information Technology Shanxi University Taiyuan China ； School of Computer Science ； Informatics Cardiff University Cardiff UK ； ILCC, School of Informatics University of Edinburgh Edinburgh UK ； Information Technology Shanxi University ； Informatics Cardiff University ； ILCC, School of Informatics University of Edinburgh 纠错

Comments Accepted at KDD 2025

Multi-task Offline Reinforcement Learning for Online Advertising in Recommender Systems

Langming Liu, Wanyu Wang, Chi Zhang, Bo Li, Hongzhi Yin, Xuetao Wei, Wenbo Su, Bo Zheng, Xiangyu Zhao

机构 * Taobao \& Tmall Group of Alibaba City University of Hong Kong Hangzhou China ； Southern University of Science ； Technology, City University of Hong Kong Hong Kong China ； City University of Hong Kong Hong Kong China ； University of Queensland Brisbane Australia ； Taobao \& Tmall Group of Alibaba Beijing China ； Taobao \& Tmall Group of Alibaba City University of Hong Kong ； Technology, City University of Hong Kong ； City University of Hong Kong ； University of Queensland ； Taobao \& Tmall Group of Alibaba 纠错

Comments KDD 2025

Adversarial Machine Learning Attacks on Financial Reporting via Maximum Violated Multi-Objective Attack

Edward Raff, Karen Kukla, Michel Benaroch, Joseph Comprix

机构 * University of Maryland, Baltimore County（马里兰大学巴尔的摩分校） ； Syracuse University（苏斯大学） 纠错

Comments KDD Workshop on Machine Learning in Finance

Interest Networks (iNETs) for Cities: Cross-Platform Insights and Urban Behavior Explanations

Gustavo H. Santos, Myriam Delgado, Thiago H. Silva

Comments Accepted at ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-UMC)

Put Teacher in Student's Shoes: Cross-Distillation for Ultra-compact Model Compression Framework

Maolin Wang, Jun Chu, Sicong Xie, Xiaoling Zang, Yao Zhao, Wenliang Zhong, Xiangyu Zhao

机构 * City University of Hong Kong（香港城市大学） ； City University of Hong Kong Hong Kong SAR China（香港城市大学香港特别行政区中国） 纠错

Comments Accepted by KDD 2025

Handling Korean Out-of-Vocabulary Words with Phoneme Representation Learning

Nayeon Kim, Eojin Jeon, Jun-Hyung Park, SangKeun Lee

机构 * Korea University（韩国大学） ； Hankuk University of Foreign Studies（韩国民族外国语大学） 纠错

Journal ref Advances in Knowledge Discovery and Data Mining. PAKDD 2025

TayFCS: Towards Light Feature Combination Selection for Deep Recommender Systems

Xianquan Wang, Zhaocheng Du, Jieming Zhu, Chuhan Wu, Qinglin Jia, Zhenhua Dong

机构 * University of Science and Technology of China（中国科学技术大学） ； Huawei Noah’s Ark Lab（华为诺亚实验室） 纠错

Journal ref KDD'2025

Beyond Advertising: Mechanism Design for Platform-Wide Marketing Service "QuanZhanTui"

Ningyuan Li, Zhilin Zhang, Tianyan Long, Yuyao Liu, Rongquan Bai, Yurong Chen, Xiaotie Deng, Pengjie Wang, Chuan Yu, Jian Xu, Bo Zheng

Comments Accepted by KDD 2025

MoralBench: Moral Evaluation of LLMs

Jianchao Ji, Yutong Chen, Mingyu Jin, Wujiang Xu, Wenyue Hua, Yongfeng Zhang

机构 * Rutgers The State University of New Jersey（新泽西州立大学拉特格斯分校） ； University of Chicago（芝加哥大学） 纠错

Comments Accepted to ACM SIGKDD Explorations Volume 27 Issue 1

Urban Region Pre-training and Prompting: A Graph-based Approach

Jiahui Jin, Yifan Song, Dong Kan, Haojia Zhu, Xiangguo Sun, Zhicheng Li, Xigang Sun, Jinghui Zhang

机构 * School of Computer Science and Engineering, Southeast University（东南大学计算机科学与工程学院） 纠错

Comments Accepted at KDD 2025

Non-exchangeable Conformal Prediction for Temporal Graph Neural Networks

Tuo Wang, Jian Kang, Yujun Yan, Adithya Kulkarni, Dawei Zhou

机构 * Virginia Polytechnic Institute and State University（弗吉尼亚理工大学） ； University of Rochester（罗切斯特大学） ； Dartmouth College（达特茅斯学院） 纠错

Comments accepted by KDD 2025

Learnable-Differentiable Finite Volume Solver for Accelerated Simulation of Flows

Mengtao Yan, Qi Wang, Haining Wang, Ruizhi Chengze, Yi Zhang, Hongsheng Liu, Zidong Wang, Fan Yu, Qi Qi, Hao Sun

机构 * Renmin University of China（中国人民大学） ； Huawei Technologies Ltd.（华为技术有限公司） ； Institute for Clarity in Documentation（文档清晰研究所） ； Inria Paris-Rocquencourt（巴黎-罗quentourt研究所） ； Rajiv Gandhi University（拉贾·甘地大学） ； Tsinghua University（清华大学） ； Palmer Research Laboratories（帕勒研究实验室） 纠错

Comments 19 pages, 12 figures, accepted at KDD 2025 (ACM SIGKDD Conference on Knowledge Discovery and Data Mining)

Towards Foundation Auto-Encoders for Time-Series Anomaly Detection

Gastón García González, Pedro Casas, Emilio Martínez, Alicia Fernández

机构 * ( ) AIT Austrian Institute of Technology 纠错

Comments Presented at ACM KDD 2024, MiLeTS 2024 Workshop, August 25, 2024, Barcelona, Spain

EARN: Efficient Inference Acceleration for LLM-based Generative Recommendation by Register Tokens

Chaoqun Yang, Xinyu Lin, Wenjie Wang, Yongqi Li, Teng Sun, Xianjing Han, Tat-Seng Chua

Comments Accepted by KDD 2025

TalentMine: LLM-Based Extraction and Question-Answering from Multimodal Talent Tables

Varun Mannam, Fang Wang, Chaochun Liu, Xin Chen

机构 * Amazon（亚马逊） 纠错

Comments Submitted to KDD conference, workshop: Talent and Management Computing (TMC 2025), https://tmcworkshop.github.io/2025/

ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting

Hyunwoo Seo, Chiehyeon Lim

机构 * Ulsan National Institute of Science and Technology（乌山国立科学技术研究院） 纠错

Comments Accepted by KDD 2025 research track

An Automatic Graph Construction Framework based on Large Language Models for Recommendation

Rong Shan, Jianghao Lin, Chenxu Zhu, Bo Chen, Menghui Zhu, Kangning Zhang, Jieming Zhu, Ruiming Tang, Yong Yu, Weinan Zhang

机构 * Shanghai Jiao Tong University（上海交通大学） ； Huawei Noah's Ark Lab（华为诺亚实验室） 纠错

Comments Accepted by KDD'25

Z-REx: Human-Interpretable GNN Explanations for Real Estate Recommendations

Kunal Mukherjee, Zachary Harrison, Saeid Balaneshin

机构 * The University of Texas at Dallas（德克萨斯大学达拉斯分校） 纠错

Comments Accepted to be published in KDD Workshop in Machine Learning on Graphs in the Era of Generative Artificial Intelligence (MLoG-GenAI@KDD) 2025

Synergizing Implicit and Explicit User Interests: A Multi-Embedding Retrieval Framework at Pinterest

Zhibo Fan, Hongtao Lin, Haoyu Chen, Bowen Deng, Hedi Xia, Yuke Yan, James Li

Comments KDD 2025

Evaluating VisualRAG: Quantifying Cross-Modal Performance in Enterprise Document Understanding

Varun Mannam, Fang Wang, Xin Chen

机构 * Amazon（亚马逊） 纠错

Comments Conference: KDD conference workshop: https://kdd-eval-workshop.github.io/genai-evaluation-kdd2025/

SERP Interference Network and Its Applications in Search Advertising

Purak Jain, Sandeep Appala

Comments This is an extended version of our paper published at the AdKDD 2024 workshop, co-located with ACM KDD. CEUR-WS proceedings: https://ceur-ws.org/Vol-3837/paper_12_ceur_paper.pdf

LLM2Rec: Large Language Models Are Powerful Embedding Models for Sequential Recommendation

Yingzhi He, Xiaohao Liu, An Zhang, Yunshan Ma, Tat-Seng Chua

机构 * National University of Singapore（新加坡国立大学） ； University of Science and Technology of China（中国科学技术大学） ； Singapore Management University（新加坡管理学院） 纠错

Comments KDD 2025

Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks

Zewen Liu, Xiaoda Wang, Bohan Wang, Zijie Huang, Carl Yang, Wei Jin

机构 * Emory University（埃默里大学） ； Amazon（亚马逊） 纠错

Comments Accepted by KDD 2025 Tutorial Track

CovDocker: Benchmarking Covalent Drug Design with Tasks, Datasets, and Solutions

Yangzhe Peng, Kaiyuan Gao, Liang He, Yuheng Cong, Haiguang Liu, Kun He, Lijun Wu

机构 * Huazhong University of Science and Technology（华中科技大学） ； Microsoft Research AI for Science（微软研究院人工智能科学部） ； Shanghai Artificial Intelligence Laboratory（上海人工智能实验室） 纠错

Comments Accepted to KDD 2025 Research Track

FedSC: Federated Learning with Semantic-Aware Collaboration

Huan Wang, Haoran Li, Huaming Chen, Jun Yan, Jiahua Shi, Jun Shen

机构 * University of Wollongong（沃林戈大学） ； The University of Sydney（悉尼大学） ； The University of Queensland（昆士兰大学） 纠错

Comments 12 pages, KDD 2025