ACM International Conference on Knowledge Discovery and Data Mining

KDD

CORE rank

CORE rank (raw)

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 conferences Best 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.

Year	Title	Authors
2023	Doctor Specific Tag Recommendation for Online Medical Record Management.	Yejing Wang, Shen Ge, Xiangyu Zhao, Xian Wu, Tong Xu, Chen Ma, Zhi Zheng
2023	PROSE: Graph Structure Learning via Progressive Strategy.	Huizhao Wang, Yao Fu, Tao Yu, Linghui Hu, Weihao Jiang, Shiliang Pu
2023	Federated Few-shot Learning.	Song Wang, Xingbo Fu, Kaize Ding, Chen Chen, Huiyuan Chen, Jundong Li
2023	Adversarial Constrained Bidding via Minimax Regret Optimization with Causality-Aware Reinforcement Learning.	Haozhe Wang, Chao Du, Panyan Fang, Li He, Liang Wang, Bo Zheng
2023	A Message Passing Neural Network Space for Better Capturing Data-dependent Receptive Fields.	Zhili Wang, Shimin Di, Lei Chen
2023	Interdependent Causal Networks for Root Cause Localization.	Dongjie Wang, Zhengzhang Chen, Jingchao Ni, Liang Tong, Zheng Wang, Yanjie Fu, Haifeng Chen
2023	Incremental Causal Graph Learning for Online Root Cause Analysis.	Dongjie Wang, Zhengzhang Chen, Yanjie Fu, Yanchi Liu, Haifeng Chen
2023	Efficient Bi-Level Optimization for Recommendation Denoising.	Zongwei Wang, Min Gao, Wentao Li, Junliang Yu, Linxin Guo, Hongzhi Yin
2023	Theoretical Convergence Guaranteed Resource-Adaptive Federated Learning with Mixed Heterogeneity.	Yangyang Wang, Xiao Zhang, Mingyi Li, Tian Lan, Huashan Chen, Hui Xiong, Xiuzhen Cheng, Dongxiao Yu
2023	LightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language Models.	Haoyu Wang, Ruirui Li, Haoming Jiang, Zhengyang Wang, Xianfeng Tang, Bin Bi, Monica Xiao Cheng, Bing Yin, Yaqing Wang, Tuo Zhao, Jing Gao
2023	Feature-based Learning for Diverse and Privacy-Preserving Counterfactual Explanations.	Vy Vo, Trung Le, Van Nguyen, He Zhao, Edwin V. Bonilla, Gholamreza Haffari, Dinh Q. Phung
2023	Auto-Validate by-History: Auto-Program Data Quality Constraints to Validate Recurring Data Pipelines.	Dezhan Tu, Yeye He, Weiwei Cui, Song Ge, Haidong Zhang, Shi Han, Dongmei Zhang, Surajit Chaudhuri
2023	Adversaries with Limited Information in the Friedkin-Johnsen Model.	Sijing Tu, Stefan Neumann, Aristides Gionis
2023	Fair Multilingual Vandalism Detection System for Wikipedia.	Mykola Trokhymovych, Muniza Aslam, Ai-Jou Chou, Ricardo Baeza-Yates, Diego Sez-Trumper
2023	Stabilising Job Survival Analysis for Disability Employment Services in Unseen Environments.	Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Xiaomei Li, Jixue Liu, Tony Waters
2023	Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization.	Yunze Tong, Junkun Yuan, Min Zhang, Didi Zhu, Keli Zhang, Fei Wu, Kun Kuang
2023	Workplace Recommendation with Temporal Network Objectives.	Kiran Tomlinson, Jennifer Neville, Longqi Yang, Mengting Wan, Cao Lu
2023	Automatic Music Playlist Generation via Simulation-based Reinforcement Learning.	Federico Tomasi, Joseph Cauteruccio, Surya Kanoria, Kamil Ciosek, Matteo Rinaldi, Zhenwen Dai
2023	Towards Fairness in Personalized Ads Using Impression Variance Aware Reinforcement Learning.	Aditya Srinivas Timmaraju, Mehdi Mashayekhi, Mingliang Chen, Qi Zeng, Quintin Fettes, Wesley Cheung, Yihan Xiao, Manojkumar Rangasamy Kannadasan, Pushkar Tripathi, Sean Gahagan, Miranda Bogen, Rob Roudani
2023	PASS: Personalized Advertiser-aware Sponsored Search.	Zhoujin Tian, Chaozhuo Li, Zhiqiang Zuo, Zengxuan Wen, Lichao Sun, Xinyue Hu, Wen Zhang, Haizhen Huang, Senzhang Wang, Weiwei Deng, Xing Xie, Qi Zhang
2023	From Innovation to Scale (I2S) - Discuss and Learn How to Successfully Build, Commercialize, and Scale AI Innovations in Challenging Market Conditions.	Ankur Teredesai, Michael Zeller, Shenghua Bao, Wee Hyong Tok, Linsey Pang
2023	Online Quality Prediction in Windshield Manufacturing using Data-Efficient Machine Learning.	Hasan Tercan, Tobias Meisen
2023	ExplainableFold: Understanding AlphaFold Prediction with Explainable AI.	Juntao Tan, Yongfeng Zhang
2023	Virtual Node Tuning for Few-shot Node Classification.	Zhen Tan, Ruocheng Guo, Kaize Ding, Huan Liu
2023	Improving Training Stability for Multitask Ranking Models in Recommender Systems.	Jiaxi Tang, Yoel Drori, Daryl Chang, Maheswaran Sathiamoorthy, Justin Gilmer, Li Wei, Xinyang Yi, Lichan Hong, Ed H. Chi

1,926–1,950 of 8,232← Previous Next →

Comparable venues

Other A*/A conferences filed under the same field of research.