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
2022	Task-optimized User Clustering based on Mobile App Usage for Cold-start Recommendations.	Bulou Liu, Bing Bai, Weibang Xie, Yiwen Guo, Hao Chen
2022	Partial-Quasi-Newton Methods: Efficient Algorithms for Minimax Optimization Problems with Unbalanced Dimensionality.	Chengchang Liu, Shuxian Bi, Luo Luo, John C. S. Lui
2022	MSDR: Multi-Step Dependency Relation Networks for Spatial Temporal Forecasting.	Dachuan Liu, Jin Wang, Shuo Shang, Peng Han
2022	UD-GNN: Uncertainty-aware Debiased Training on Semi-Homophilous Graphs.	Yang Liu, Xiang Ao, Fuli Feng, Qing He
2022	Sparse Conditional Hidden Markov Model for Weakly Supervised Named Entity Recognition.	Yinghao Li, Le Song, Chao Zhang
2022	TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning.	Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Zhi Yang, Ce Zhang, Bin Cui
2022	Transfer Learning based Search Space Design for Hyperparameter Tuning.	Yang Li, Yu Shen, Huaijun Jiang, Tianyi Bai, Wentao Zhang, Ce Zhang, Bin Cui
2022	Communication-Efficient Robust Federated Learning with Noisy Labels.	Junyi Li, Jian Pei, Heng Huang
2022	AdaFS: Adaptive Feature Selection in Deep Recommender System.	Weilin Lin, Xiangyu Zhao, Yejing Wang, Tong Xu, Xian Wu
2022	Feature-aware Diversified Re-ranking with Disentangled Representations for Relevant Recommendation.	Zihan Lin, Hui Wang, Jingshu Mao, Wayne Xin Zhao, Cheng Wang, Peng Jiang, Ji-Rong Wen
2022	Duplex Conversation: Towards Human-like Interaction in Spoken Dialogue Systems.	Ting-En Lin, Yuchuan Wu, Fei Huang, Luo Si, Jian Sun, Yongbin Li
2022	Deep Representations for Time-varying Brain Datasets.	Sikun Lin, Shuyun Tang, Scott T. Grafton, Ambuj K. Singh
2022	A Logic Aware Neural Generation Method for Explainable Data-to-text.	Xiexiong Lin, Huaisong Li, Tao Huang, Feng Wang, Linlin Chao, Fuzhen Zhuang, Taifeng Wang, Tianyi Zhang
2022	Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems.	Chen Ling, Junji Jiang, Junxiang Wang, Liang Zhao
2022	Rapid Regression Detection in Software Deployments through Sequential Testing.	Michael Lindon, Chris Sanden, Vach Shirikian
2022	Graph Structural Attack by Perturbing Spectral Distance.	Lu Lin, Ethan Blaser, Hongning Wang
2022	Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN.	Kuan Li, Yang Liu, Xiang Ao, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He
2022	PAC-Wrap: Semi-Supervised PAC Anomaly Detection.	Shuo Li, Xiayan Ji, Edgar Dobriban, Oleg Sokolsky, Insup Lee
2022	Automatically Discovering User Consumption Intents in Meituan.	Yinfeng Li, Chen Gao, Xiaoyi Du, Huazhou Wei, Hengliang Luo, Depeng Jin, Yong Li
2022	Design Domain Specific Neural Network via Symbolic Testing.	Hui Li, Xing Fu, Ruofan Wu, Jinyu Xu, Kai Xiao, Xiaofu Chang, Weiqiang Wang, Shuai Chen, Leilei Shi, Tao Xiong, Yuan Qi
2022	A Practical Introduction to Federated Learning.	Yaliang Li, Bolin Ding, Jingren Zhou
2022	Towards Learning Disentangled Representations for Time Series.	Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Jingchao Ni, Denghui Zhang, Haifeng Chen, Xia Hu
2022	Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters.	Xiangru Lian, Binhang Yuan, Xuefeng Zhu, Yulong Wang, Yongjun He, Honghuan Wu, Lei Sun, Haodong Lyu, Chengjun Liu, Xing Dong, Yiqiao Liao, Mingnan Luo, Congfei Zhang, Jingru Xie, Haonan Li, Lei Chen, Renjie Huang, Jianying Lin, Chengchun Shu, Xuezhong Qiu, Zhishan Liu, Dongying Kong, Lei Yuan, Hai Yu, Sen Yang, Ce Zhang, Ji Liu
2022	The KDD 2022 Workshop on Causal Discovery (CD2022).	Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu
2022	Modeling Network-level Traffic Flow Transitions on Sparse Data.	Xiaoliang Lei, Hao Mei, Bin Shi, Hua Wei

2,626–2,650 of 8,232← Previous Next →

Comparable venues

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