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	Removing Camouflage and Revealing Collusion: Leveraging Gang-crime Pattern in Fraudster Detection.	Lewen Wang, Haozhe Zhao, Cunguang Feng, Weiqing Liu, Congrui Huang, Marco Santoni, Manuel Cristofaro, Paola Jafrancesco, Jiang Bian
2023	Root Cause Analysis for Microservice Systems via Hierarchical Reinforcement Learning from Human Feedback.	Lu Wang, Chaoyun Zhang, Ruomeng Ding, Yong Xu, Qihang Chen, Wentao Zou, Qingjun Chen, Meng Zhang, Xuedong Gao, Hao Fan, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
2023	Contrastive Learning of Stress-specific Word Embedding for Social Media based Stress Detection.	Xin Wang, Huijun Zhang, Lei Cao, Kaisheng Zeng, Qi Li, Ningyun Li, Ling Feng
2023	An Empirical Study of Selection Bias in Pinterest Ads Retrieval.	Yuan Wang, Peifeng Yin, Zhiqiang Tao, Hari Venkatesan, Jin Lai, Yi Fang, PJ Xiao
2023	Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders.	Dingsu Wang, Yuchen Yan, Ruizhong Qiu, Yada Zhu, Kaiyu Guan, Andrew Margenot, Hanghang Tong
2023	WHEN: A Wavelet-DTW Hybrid Attention Network for Heterogeneous Time Series Analysis.	Jingyuan Wang, Chen Yang, Xiaohan Jiang, Junjie Wu
2023	Efficient and Effective Edge-wise Graph Representation Learning.	Hewen Wang, Renchi Yang, Keke Huang, Xiaokui Xiao
2023	Sequence As Genes: An User Behavior Modeling Framework for Fraud Transaction Detection in E-commerce.	Ziming Wang, Qianru Wu, Baolin Zheng, Junjie Wang, Kaiyu Huang, Yanjie Shi
2023	Accelerating Antimicrobial Peptide Discovery with Latent Structure.	Danqing Wang, Zeyu Wen, Fei Ye, Lei Li, Hao Zhou
2023	Efficient Sparse Linear Bandits under High Dimensional Data.	Xue Wang, Mike Mingcheng Wei, Tao Yao
2023	Macular: A Multi-Task Adversarial Framework for Cross-Lingual Natural Language Understanding.	Haoyu Wang, Yaqing Wang, Feijie Wu, Hongfei Xue, Jing Gao
2023	2nd Workshop on Multi-Armed Bandits and Reinforcement Learning: Advancing Decision Making in E-Commerce and Beyond.	Chu Wang, Yingfei Wang, Haipeng Luo, Daniel R. Jiang, Jinghai He, Zeyu Zheng
2023	Learning to Schedule in Diffusion Probabilistic Models.	Yunke Wang, Xiyu Wang, Anh-Dung Dinh, Bo Du, Charles Xu
2023	Rapid Image Labeling via Neuro-Symbolic Learning.	Yifeng Wang, Zhi Tu, Yiwen Xiang, Shiyuan Zhou, Xiyuan Chen, Bingxuan Li, Tianyi Zhang
2023	Contrastive Meta-Learning for Few-shot Node Classification.	Song Wang, Zhen Tan, Huan Liu, Jundong Li
2023	A Multi-stage Framework for Online Bonus Allocation Based on Constrained User Intent Detection.	Chao Wang, Xiaowei Shi, Shuai Xu, Zhe Wang, Zhiqiang Fan, Yan Feng, An You, Yu Chen
2023	BERT4CTR: An Efficient Framework to Combine Pre-trained Language Model with Non-textual Features for CTR Prediction.	Dong Wang, Kav Salamatian, Yunqing Xia, Weiwei Deng, Qi Zhang
2023	Unbiased Delayed Feedback Label Correction for Conversion Rate Prediction.	Yifan Wang, Peijie Sun, Min Zhang, Qinglin Jia, Jingjie Li, Shaoping Ma
2023	Fresh Content Needs More Attention: Multi-funnel Fresh Content Recommendation.	Jianling Wang, Haokai Lu, Sai Zhang, Bart N. Locanthi, Haoting Wang, Dylan Greaves, Benjamin Lipshitz, Sriraj Badam, Ed H. Chi, Cristos J. Goodrow, Su-Lin Wu, Lexi Baugher, Minmin Chen
2023	ECGGAN: A Framework for Effective and Interpretable Electrocardiogram Anomaly Detection.	Huazhang Wang, Zhaojing Luo, James Wei Luen Yip, Chuyang Ye, Meihui Zhang
2023	GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing.	Hangyu Wang, Ting Long, Liang Yin, Weinan Zhang, Wei Xia, Qichen Hong, Dingyin Xia, Ruiming Tang, Yong Yu
2023	Trustworthy Machine Learning: Robustness, Generalization, and Interpretability.	Jindong Wang, Haoliang Li, Haohan Wang, Sinno Jialin Pan, Xing Xie
2023	Empower Post-hoc Graph Explanations with Information Bottleneck: A Pre-training and Fine-tuning Perspective.	Jihong Wang, Minnan Luo, Jundong Li, Yun Lin, Yushun Dong, Jin Song Dong, Qinghua Zheng
2023	Learning to Discover Various Simpson's Paradoxes.	Jingwei Wang, Jianshan He, Weidi Xu, Ruopeng Li, Wei Chu
2023	ShuttleSet: A Human-Annotated Stroke-Level Singles Dataset for Badminton Tactical Analysis.	Wei-Yao Wang, Yung-Chang Huang, Tsi-Ui Ik, Wen-Chih Peng

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