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 |
|---|---|---|
| 2025 | Conservation-informed Graph Learning for Spatiotemporal Dynamics Prediction. | Yuan Mi, Pu Ren, Hongteng Xu, Hongsheng Liu, Zidong Wang, Yike Guo, Ji-Rong Wen, Hao Sun, Yang Liu |
| 2025 | GORACS: Group-level Optimal Transport-guided Coreset Selection for LLM-based Recommender Systems. | Tiehua Mei, Hengrui Chen, Peng Yu, Jiaqing Liang, Deqing Yang |
| 2025 | MEDS: Building Models and Tools in a Reproducible Health AI Ecosystem. | Matthew B. A. McDermott, Justin Xu, Teya S. Bergamaschi, Hyewon Jeong, Simon A. Lee, Nassim Oufattole, Patrick Rockenschaub, Kamile Stankeviciute, Ethan Steinberg, Jimeng Sun, Robin Van De Water, Michael Wornow, John Wu, Zhenbang Wu |
| 2025 | Learning Patterns-Guided Data Generation for Knowledge Tracing. | Haiping Ma, Yi Yin, Ziwen Wang, Changqian Wang, Xiaoshan Yu, Shangshang Yang, Xingyi Zhang |
| 2025 | Diffusion-Inspired Cold Start with Sufficient Prior in Computerized Adaptive Testing. | Haiping Ma, Aoqing Xia, Changqian Wang, Hai Wang, Xingyi Zhang |
| 2025 | T3Set: A Multimodal Dataset with Targeted Suggestions for LLM-based Virtual Coach in Table Tennis Training. | Ji Ma, Jiale Wu, Haoyu Wang, Yanze Zhang, Xiao Xie, Zheng Zhou, Hui Zhang, Jiachen Wang, Yingcai Wu |
| 2025 | Attribute-Enhanced Similarity Ranking for Sparse Link Prediction. | Joo Mattos, Zexi Huang, Mert Kosan, Ambuj K. Singh, Arlei Silva |
| 2025 | MicroAdapt: Self-Evolutionary Dynamic Modeling Algorithms for Time-evolving Data Streams. | Yasuko Matsubara, Yasushi Sakurai |
| 2025 | Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning. | Minbo Ma, Kai Tang, Huan Li, Fei Teng, Dalin Zhang, Tianrui Li |
| 2025 | The Surprising Victory of NLP: From Philosophy to Agentic Language Models. | Christopher D. Manning |
| 2025 | Enhancing Black-Box Adversarial Attacks on Discrete Sequential Data via Bilevel Bayesian Optimization in Hybrid Spaces. | Tianxing Man, Xingchen Li, Zhaogeng Liu, Haozhen Zhang, Bin Gu, Yi Chang |
| 2025 | IrrMap: A Large-Scale Comprehensive Dataset for Irrigation Method Mapping. | Nibir Chandra Mandal, Oishee Bintey Hoque, Abhijin Adiga, Samarth Swarup, Mandy L. Wilson, Lu Feng, Yangfeng Ji, Miaomiao Zhang, Geoffrey C. Fox, Madhav V. Marathe |
| 2025 | ALSA: Context-Sensitive Prompt Privacy Preservation in Large Language Models. | Hongru Ma, Wenpeng Lu, Yanjie Liang, Tianyi Wang, Qi Zhang, Yingjie Zhu, Jiasheng Si |
| 2025 | SPARTA: An Optimization Framework for Differentially Private Sparse Fine-Tuning. | Mehdi Makni, Kayhan Behdin, Gabriel Afriat, Zheng Xu, Sergei Vassilvitskii, Natalia Ponomareva, Rahul Mazumder, Hussein Hazimeh |
| 2025 | On the Support Vector Effect in DNNs: Rethinking Data Selection and Attribution. | Syed Hasan Amin Mahmood, Ming Yin, Rajiv Khanna |
| 2025 | Achieving Nearly-Optimal Regret and Sample Complexity in Dueling Bandits with Applications in Online Recommendations. | Lanjihong Ma, Yao-Xiang Ding, Zhen-Yu Zhang, Zhi-Hua Zhou |
| 2025 | Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regression. | Junliang Lyu, Yixuan Zhang, Xiaoling Lu, Feng Zhou |
| 2025 | AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting. | Tengfei Lyu, Weijia Zhang, Jinliang Deng, Hao Liu |
| 2025 | DV365: Extremely Long User History Modeling at Instagram. | Wenhan Lyu, Devashish Tyagi, Yihang Yang, Ziwei Li, Ajay Somani, Karthikeyan Shanmugasundaram, Nikola Andrejevic, Ferdi Adeputra, Curtis Zeng, Arun K. Singh, Maxime Ransan, Sagar Jain |
| 2025 | NRFormer: Nationwide Nuclear Radiation Forecasting with Spatio-Temporal Transformer. | Tengfei Lyu, Jindong Han, Hao Liu |
| 2025 | Timing is Important: Risk-aware Fund Allocation based on Time-Series Forecasting. | Fuyuan Lyu, Linfeng Du, Yunpeng Weng, Qiufang Ying, Zhiyan Xu, Wen Zou, Haolun Wu, Xiuqiang He, Xing Tang |
| 2025 | Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation. | Zheqi Lv, Tianyu Zhan, Wenjie Wang, Xinyu Lin, Shengyu Zhang, Wenqiao Zhang, Jiwei Li, Kun Kuang, Fei Wu |
| 2025 | AGODE: Adaptive Graph ODE for Grid-free Fluid Modeling and Domain Adaptation. | Jie Lv, Shuyuan Yang, Zhixi Feng |
| 2025 | VLM as Policy: Common-Law Content Moderation Framework for Short Video Platform. | Xingyu Lu, Tianke Zhang, Chang Meng, Xiaobei Wang, Jinpeng Wang, Yifan Zhang, Shisong Tang, Changyi Liu, Haojie Ding, Kaiyu Jiang, Kaiyu Tang, Bin Wen, Hai-Tao Zheng, Fan Yang, Tingting Gao, Di Zhang, Kun Gai |
| 2025 | Fairness without Demographics through Learning Graph of Gradients. | Yingtao Luo, Zhixun Li, Qiang Liu, Jun Zhu |
601–625 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
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- 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