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	Controllable Multi-Objective Re-ranking with Policy Hypernetworks.	Sirui Chen, Yuan Wang, Zijing Wen, Zhiyu Li, Changshuo Zhang, Xiao Zhang, Quan Lin, Cheng Zhu, Jun Xu
2023	Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems.	Xiaohui Chen, Jiankai Sun, Taiqing Wang, Ruocheng Guo, Li-Ping Liu, Aonan Zhang
2023	Binary Classifier Evaluation on Unlabeled Segments using Inverse Distance Weighting with Distance Learning.	Xu Chen, Katerina Marazopoulou, Wesley Lee, Christine Agarwal, Jason Sukumaran, Aude Hofleitner
2023	IPOC: An Adaptive Interval Prediction Model based on Online Chasing and Conformal Inference for Large-Scale Systems.	Jiadong Chen, Yang Luo, Xiuqi Huang, Fuxin Jiang, Yangguang Shi, Tieying Zhang, Xiaofeng Gao
2023	Approximation Algorithms for Size-Constrained Non-Monotone Submodular Maximization in Deterministic Linear Time.	Yixin Chen, Alan Kuhnle
2023	Accelerating Personalized PageRank Vector Computation.	Zhen Chen, Xingzhi Guo, Baojian Zhou, Deqing Yang, Steven Skiena
2023	FS-REAL: Towards Real-World Cross-Device Federated Learning.	Daoyuan Chen, Dawei Gao, Yuexiang Xie, Xuchen Pan, Zitao Li, Yaliang Li, Bolin Ding, Jingren Zhou
2023	Evolve Path Tracer: Early Detection of Malicious Addresses in Cryptocurrency.	Ling Cheng, Feida Zhu, Yong Wang, Ruicheng Liang, Huiwen Liu
2023	Foundations and Applications in Large-scale AI Models: Pre-training, Fine-tuning, and Prompt-based Learning.	Derek Zhiyuan Cheng, Dhaval Patel, Linsey Pang, Sameep Mehta, Kexin Xie, Ed H. Chi, Wei Liu, Nitesh V. Chawla, James Bailey
2023	A Data-driven Region Generation Framework for Spatiotemporal Transportation Service Management.	Liyue Chen, Jiangyi Fang, Zhe Yu, Yongxin Tong, Shaosheng Cao, Leye Wang
2023	Neural-Hidden-CRF: A Robust Weakly-Supervised Sequence Labeler.	Zhijun Chen, Hailong Sun, Wanhao Zhang, Chunyi Xu, Qianren Mao, Pengpeng Chen
2023	Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach.	Zhangming Chan, Yu Zhang, Shuguang Han, Yong Bai, Xiang-Rong Sheng, Siyuan Lou, Jiacen Hu, Baolin Liu, Yuning Jiang, Jian Xu, Bo Zheng
2023	PEPNet: Parameter and Embedding Personalized Network for Infusing with Personalized Prior Information.	Jianxin Chang, Chenbin Zhang, Yiqun Hui, Dewei Leng, Yanan Niu, Yang Song, Kun Gai
2023	TWIN: TWo-stage Interest Network for Lifelong User Behavior Modeling in CTR Prediction at Kuaishou.	Jianxin Chang, Chenbin Zhang, Zhiyi Fu, Xiaoxue Zang, Lin Guan, Jing Lu, Yiqun Hui, Dewei Leng, Yanan Niu, Yang Song, Kun Gai
2023	Data-Efficient and Interpretable Tabular Anomaly Detection.	Chun-Hao Chang, Jinsung Yoon, Sercan . Arik, Madeleine Udell, Tomas Pfister
2023	Taming the Domain Shift in Multi-source Learning for Energy Disaggregation.	Xiaomin Chang, Wei Li, Yunchuan Shi, Albert Y. Zomaya
2023	SURE: Robust, Explainable, and Fair Classification without Sensitive Attributes.	Deepayan Chakrabarti
2023	Efficient Coreset Selection with Cluster-based Methods.	Chengliang Chai, Jiayi Wang, Nan Tang, Ye Yuan, Jiabin Liu, Yuhao Deng, Guoren Wang
2023	When to Pre-Train Graph Neural Networks? From Data Generation Perspective!	Yuxuan Cao, Jiarong Xu, Carl Yang, Jiaan Wang, Yunchao Zhang, Chunping Wang, Lei Chen, Yang Yang
2023	Privacy Matters: Vertical Federated Linear Contextual Bandits for Privacy Protected Recommendation.	Zeyu Cao, Zhipeng Liang, Bingzhe Wu, Shu Zhang, Hangyu Li, Ouyang Wen, Yu Rong, Peilin Zhao
2023	MBrain: A Multi-channel Self-Supervised Learning Framework for Brain Signals.	Donghong Cai, Junru Chen, Yang Yang, Teng Liu, Yafeng Li
2023	RankFormer: Listwise Learning-to-Rank Using Listwide Labels.	Maarten Buyl, Paul Missault, Pierre-Antoine Sondag
2023	On Improving the Cohesiveness of Graphs by Merging Nodes: Formulation, Analysis, and Algorithms.	Fanchen Bu, Kijung Shin
2023	Augmenting Rule-based DNS Censorship Detection at Scale with Machine Learning.	Jacob Alexander Markson Brown, Xi Jiang, Van Hong Tran, Arjun Nitin Bhagoji, Nguyen Phong Hoang, Nick Feamster, Prateek Mittal, Vinod Yegneswaran
2023	Preemptive Detection of Fake Accounts on Social Networks via Multi-Class Preferential Attachment Classifiers.	Adam Breuer, Nazanin Khosravani Tehrani, Michael Tingley, Bradford Cottel

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