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
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 |
|---|---|---|
| 2026 | Fair Class-Incremental Learning using Sample Weighting. | Jaeyoung Park, Minsu Kim, Steven Euijong Whang |
| 2026 | UniExtreme: A Universal Foundation Model for Extreme Weather Forecasting. | Hang Ni, Weijia Zhang, Hao Liu |
| 2026 | TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation. | Juntong Ni, Zewen Liu, Shiyu Wang, Ming Jin, Wei Jin |
| 2026 | Fast Mining and Dynamic Time-to-Event Prediction over Multi-sensor Data Streams. | Kota Nakamura, Koki Kawabata, Yasuko Matsubara, Yasushi Sakurai |
| 2026 | ARES: Anomaly Recognition Model For Edge Streams. | Simone Mungari, Albert Bifet, Giuseppe Manco, Bernhard Pfahringer |
| 2026 | Spatiotemporal Graph Learning with Direct Volumetric Information Passing and Feature Enhancement. | Yuan Mi, Qi Wang, Xueqin Hu, Yike Guo, Ji-Rong Wen, Yang Liu, Hao Sun |
| 2026 | KBest: Efficient Vector Search on Kunpeng CPU. | Kaihao Ma, Meiling Wang, Oleg Senkevich, Zijian Li, Daihao Xue, Dmitriy Malyshev, Yangming Lv, Shihai Xiao, Xiao Yan, Alexander Radionov, Weidi Zeng, Yuanzhan Gao, Zhiyu Zou, Xin Yao, Lin Liu, Junhao Wu, Yiding Liu, Yaoyao Fu, Gongyi Wang, Gong Zhang, Fei Yi, Yingfan Liu |
| 2026 | Physics-Informed Teleconnection-Aware Transformer for Global Subseasonal-to-Seasonal Forecasting. | Tengfei Lyu, Weijia Zhang, Hao Liu |
| 2026 | RIPCN: A Road Impedance Principal Component Network for Probabilistic Traffic Flow Forecasting. | Haochen Lv, Yan Lin, Shengnan Guo, Xiaowei Mao, Hong Nie, Letian Gong, Youfang Lin, Huaiyu Wan |
| 2026 | Awaken the Giant: Activating LLMs via Deep Model Guidance for Boundary-aware Medication Recommendation. | Hang Lv, Zixuan Guo, Yanchao Tan, Wanzi Shao, Hengyu Zhang, Carl Yang |
| 2026 | HAROOD: A Benchmark for Out-of-distribution Generalization in Sensor-based Human Activity Recognition. | Wang Lu, Yao Zhu, Jindong Wang |
| 2026 | CLASS: Deep Partial Label Feature Selection with Cluster-Guided Disambiguation and Structured Sparsity. | Tingjin Luo, Mengyuan Tong, Qingyang Shu, Yueying Liu, Hao Zhou, Zhen Wang |
| 2026 | ESTIM: Efficient and Scalable Tensorial Incomplete Multi-view Semi-supervised Classification. | Tingjin Luo, XiangYao Li, Zhangqi Jiang, Shuanghui Zhang, Dewen Hu |
| 2026 | Learning Guarantee of Reward Modeling Using Deep Neural Networks. | Yuanhang Luo, Yeheng Ge, Ruijian Han, Guohao Shen |
| 2026 | Meta Lattice: Model Space Redesign for Cost-Effective Industry-Scale Ads Recommendations. | Liang Luo, Yuxin Chen, Zhengyu Zhang, Mengyue Hang, Andrew Gu, Buyun Zhang, Boyang Liu, Chen Chen, Fan Yang, Feifan Gu, Huayu Li, Jade Nie, Jiayi Xu, Jiyan Yang, Jongsoo Park, Laming Chen, Longhao Jin, Qin Huang, Shali Jiang, Shiwen Shen, Shuaiwen Wang, Siyang Yuan, Tongyi Tang, Weilin Zhang, Xi Liu, Xiaohan Wei, Yuchen Hao, Xiaozhen Xia, Yasmine Badr, Zeliang Chen, Chengze Fan, Dong Liang, Qianru Li, Sihan Zeng, Wenjun Wang, Yunlong He, Yinbin Ma, Maxim Naumov, Yantao Yao, Wenlin Chen, Ellie Dingqiao Wen |
| 2026 | Four-Cycle Counting in Low-Degeneracy Graph Streams. | Sebastian Lderssen, Stefan Neumann, Pan Peng |
| 2026 | In-context Learning of Evolving Data Streams with Tabular Foundational Models. | Afonso Loureno, Joo Gama, Eric P. Xing, Goreti Marreiros |
| 2026 | FCN: Fusing Exponential and Linear Cross Network for Click-Through Rate Prediction. | Honghao Li, Yiwen Zhang, Yi Zhang, Hanwei Li, Lei Sang, Jieming Zhu |
| 2026 | CNText2Sign and CNSign: Unified Chinese Sign Language Datasets for Bidirectional Accessibility. | Yulong Li, Yuxuan Zhang, Feilong Tang, Ming Hu, Zhixiang Lu, Haochen Xue, Jianghao Wu, Rui Chen, Mian Zhou, Kang Dang, Chong Li, Yifang Wang, Imran Razzak, Jionglong Su |
| 2026 | Efficiently Learning Branching Networks for Multitask Algorithmic Reasoning. | Dongyue Li, Zhenshuo Zhang, Minxuan Duan, Edgar Dobriban, Hongyang R. Zhang |
| 2026 | IRG: Modular Synthetic Relational Database Generation with Complex Relational Schemas. | Jiayu Li, Zilong Zhao, Milad Abdollahzadeh, Biplab Sikdar, Y. C. Tay |
| 2026 | FARM: Frequency-Aware Model for Cross-Domain Live-Streaming Recommendation. | Xiaodong Li, Ruochen Yang, Shuang Wen, Shen Wang, Yueyang Liu, Guoquan Wang, Weisong Hu, Qiang Luo, Jiawei Sheng, Tingwen Liu, Jiangxia Cao, Shuang Yang, Zhaojie Liu |
| 2026 | Multi-Modal Representation for Spatially Resolved Transcriptomics Based on Global Correlation and Dynamic Cluster Discovery. | Chuanxiu Li, Shengwu Xiong, Zhenyu Xiong, Mingxi Sun, Qixiang Zou, Yi Rong |
| 2026 | ZRing: A Dynamic Sketch for Weighted Cardinality Estimation in Data Streams. | Zhicheng Li, Pinghui Wang, Qiheng Song, Rundong Li, Tong Yang, Qun Huang |
| 2026 | UniLLM: A Unified Large Language Model for Multi?Modal Urban Dynamics Prediction. | Yuhang Liu, Yingxue Zhang, Xin Zhang, Yanhua Li, Jun Luo |
126–150 of 8,232← PreviousNext →
Comparable venues
Other A*/A conferences filed under the same field of research.
- ACIKMACM International Conference on Information and Knowledge Management
- A*SIGIRACM International Conference on Research and Development in Information Retrieval
- A*ICDEInternational Conference on Data Engineering
- A*ICDMIEEE International Conference on Data Mining
- A*SIGMODACM Special Interest Group on Management of Data Conference
- AICDARIEEE International Conference on Document Analysis and Recognition
- ACaiSEInternational Conference on Advanced Information Systems Engineering
- A*VLDBInternational Conference on Very Large Databases