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ACM International Conference on Knowledge Discovery and Data Mining

KDD

A*

CORE rank

CORE rank (raw)

A*

Acceptance rate

20.0% (2024 research track)

Fields of research

Data Management and Data Science · Machine Learning

Papers indexed

8,232

1994–2026

Best Machine Learning conferencesBest Data Science and Information Retrieval conferences

Papers per year

1994844 peak2026

Most published authors

KDD papers

8,232 records sourced from DBLP. Search titles, filter by year, sort by recency.

YearTitleAuthors
2025Online Item Cold-Start Recommendation with Popularity-Aware Meta-Learning.Yunze Luo, Yuezihan Jiang, Yinjie Jiang, Gaode Chen, Jingchi Wang, Kaigui Bian, Peiyi Li, Qi Zhang
2025Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting.Yingtao Luo, Shikai Fang, Binqing Wu, Qingsong Wen, Liang Sun
2025Dynamic Deep Clustering of High-Dimensional Directional Data via Hyperspherical Embeddings with Bayesian Nonparametric Mixtures.Zhiwen Luo, Wentao Fan, Manar Amayri, Nizar Bouguila
2025Future Matters for Present: Towards Effective Physical Simulation over Meshes.Xiao Luo, Junyu Luo, Huiyu Jiang, Hang Zhou, Zhiping Xiao, Wei Ju, Carl Ji Yang, Ming Zhang, Yizhou Sun
2025Gradients as An Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing.Zhufeng Lu, Chentao Jia, Ming Hu, Xiaofei Xie, Mingsong Chen
2025ROMA: Recommendation-Oriented Language Model Adaptation Using Multi-Modal Multi-Domain Item Sequences.Xingyu Lu, Jinpeng Wang, Jieming Zhu, Zhicheng Zhang, Deqing Zou, Hai-Tao Zheng, Shu-Tao Xia, Rui Zhang
2025On the Role of Weight Decay in Collaborative Filtering: A Popularity Perspective.Donald Loveland, Mingxuan Ju, Tong Zhao, Neil Shah, Danai Koutra
2025A Universal Model for Human Mobility Prediction.Qingyue Long, Yuan Yuan, Yong Li
2025TSPRank: Bridging Pairwise and Listwise Methods with a Bilinear Travelling Salesman Model.Weixian Waylon Li, Yftah Ziser, Yifei Xie, Shay B. Cohen, Tiejun Ma
2025ESCFD: Probabilistic Flow Diffusion Model for Accelerated High-Quality Single-Cell RNA-seq Data Synthesis.Shuangyin Li, Jihua Yang, Yixuan Wang, Shimin Di, Lei Chen
2025RankElectra: Semi-supervised Pre-training of Learning-to-Rank Electra for Web-scale Search.Yuchen Li, Haoyi Xiong, Yongqi Zhang, Jiang Bian, Tianhao Peng, Xuhong Li, Shuaiqiang Wang, Linghe Kong, Dawei Yin
2025FusionSAM: Visual Multi-Modal Learning with Segment Anything Model.Daixun Li, Weiying Xie, Mingxiang Cao, Yunke Wang, Yusi Zhang, Leyuan Fang, Yunsong Li, Chang Xu
2025SlotPi: Physics-informed Object-centric Reasoning Models.Jian Li, Han Wan, Ning Lin, Yu-Liang Zhan, Ruizhi Chengze, Haining Wang, Yi Zhang, Hongsheng Liu, Zidong Wang, Fan Yu, Hao Sun
2025Flow Matching for Collaborative Filtering.Chengkai Liu, Yangtian Zhang, Jianling Wang, Rex Ying, James Caverlee
2025Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection.Jun Liu, Chaoyun Zhang, Jiaxu Qian, Minghua Ma, Si Qin, Chetan Bansal, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
2025Language Representation Favored Zero-Shot Cross-Domain Cognitive Diagnosis.Shuo Liu, Zihan Zhou, Yuanhao Liu, Jing Zhang, Hong Qian
2025On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing.Yule Liu, Zhiyuan Zhong, Yifan Liao, Zhen Sun, Jingyi Zheng, Jiaheng Wei, Qingyuan Gong, Fenghua Tong, Yang Chen, Yang Zhang, Xinlei He
2025SCode: A Spherical Code Metric Learning Approach to Continuously Monitoring Predictive Events in Networked Data.Qu Liu, Emil Zulawnik, Tingjian Ge
2025Learning Attribute as Explicit Relation for Sequential Recommendation.Gang Liu, Fan Yang, Yang Jiao, Alireza Bagheri Garakani, Tian Tong, Yan Gao, Meng Jiang
2025Scenario Shared Instance Modeling for Click-through Rate Prediction.Dugang Liu, Chaohua Yang, Yuwen Fu, Xing Tang, Gongfu Li, Fuyuan Lyu, Xiuqiang He, Zhong Ming
2025Session-Level Dynamic Ad Load Optimization using Offline Robust Reinforcement Learning.Tao Liu, Qi Xu, Wei Shi, Zhigang Hua, Shuang Yang
2025Fine-tuning Multimodal Large Language Models for Product Bundling.Xiaohao Liu, Jie Wu, Zhulin Tao, Yunshan Ma, Yinwei Wei, Tat-Seng Chua
2025Stochastic Diffusion: A Diffusion Based Model for Stochastic Time Series Forecasting.Yuansan Liu, Sudanthi N. R. Wijewickrema, Dongting Hu, Christofer Bester, Stephen J. O'Leary, James Bailey
2025Multi-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
2025Enhanced Insurance Claim Prediction via Decoupled Graph Neural Networks with Pseudo Labeling.Hongrui Liu, Daixin Wang, Yifan Wu, Zhiqiang Zhang, Xiaobo Qin
626–650 of 8,232← PreviousNext →

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