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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

Best Machine Learning conferencesBest 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.

YearTitleAuthors
2026Q-Regularized Generative Auto-Bidding: From Suboptimal Trajectories to Optimal Policies.Mingming Zhang, Na Li, Feiqing Zhuang, Hongyang Zheng, Jiangbing Zhou, Wuyin Wang, Shengjie Sun, Xiaowei Chen, Junxiong Zhu, Lixin Zou, Chenliang Li
2026Exploring Recommender System Evaluation: A Multi-Modal LLM Agent Framework for A/B Testing.Wenlin Zhang, Xiangyang Li, Qiyuan Ge, Kuicai Dong, Pengyue Jia, Xiaopeng Li, Zijian Zhang, Maolin Wang, Yichao Wang, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2026IMGNN: An Efficient, Effective and Generalizable Algorithm for Influence Maximization in Social Networks.Haotian Zhang, Kai Han, Zhizhuo Yin, Shuang Cui, Jing Tang, Pan Hui
2026From Tokenizer Bias to Backbone Capability: A Controlled Study of LLMs for Time Series Forecasting.Xinyu Zhang, Shanshan Feng, Xutao Li, Kenghong Lin, Fan Li, Pengfei Jia
2026Learning Multimodal Embeddings for Traffic Accident Prediction and Causal Estimation.Ziniu Zhang, Minxuan Duan, Haris N. Koutsopoulos, Hongyang R. Zhang
2026VALUE: Value-Aware Large Language Model for Query Rewriting via Weighted Trie in Sponsored Search.Xiao Zhang, Guanyu Chen, Boyang Zuo, Feng Li, Pengjie Wang, Jian Xu, Bo Zheng
2026Mixture-of-RAG: Integrating Text and Tables with Large Language Models.Chi Zhang, Qiyang Chen, Mengqi Zhang
2026Heterogeneous Multi-treatment Uplift Modeling for Trade-off Optimization in Short-Video Recommendation.Chenhao Zhai, Chang Meng, Xueliang Wang, Shuchang Liu, Xiaolong Hu, Shisong Tang, Xiaoqiang Feng, Xiu Li
2026Align-for-Fusion: Harmonizing Triple Preferences via Dual-oriented Diffusion for Cross-domain Sequential Recommendation.Yongfu Zha, Xinxin Dong, Haokai Ma, Yonghui Yang, Xiaodong Wang
2026LLM-based Few-Shot Early Rumor Detection with Imitation Agent.Fengzhu Zeng, Qian Shao, Ling Cheng, Wei Gao, Shih-Fen Cheng, Jing Ma, Cheng Niu
2026Automated Annotation of Privacy Information in User Interactions with Large Language Models.Hang Zeng, Xiangyu Liu, Yong Hu, Chaoyue Niu, Fan Wu, Shaojie Tang, Guihai Chen
2026Optimizing Generative Ranking Relevance via Reinforcement Learning in Xiaohongshu Search.Ziyang Zeng, Heming Jing, Jindong Chen, Xiangli Li, Hongyu Liu, Yixuan He, Zhengyu Li, Yige Sun, Zheyong Xie, Yuqing Yang, Shaosheng Cao, Jun Fan, Yi Wu, Yao Hu
2026Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent.Haocheng Yu, Yaxiong Wu, Hao Wang, Wei Guo, Yong Liu, Yawen Li, Yuyang Ye, Junping Du, Enhong Chen
2026Rank Matters: Understanding and Defending Model Inversion Attacks via Low-Rank Feature Filtering.Hongyao Yu, Yixiang Qiu, Hao Fang, Tianqu Zhuang, Bin Chen, Sijin Yu, Bin Wang, Shu-Tao Xia, Ke Xu
2026Towards Self-cognitive Exploration: Metacognitive Knowledge Graph Retrieval Augmented Generation.Xujie Yuan, Shimin Di, Jielong Tang, Libin Zheng, Jian Yin
2026LoFT-LLM: Low-Frequency Time-series Forecasting with Large Language Models.Jiacheng You, Jingcheng Yang, Yuhang Xie, Zhongxuan Wu, Xiucheng Li, Feng Li, Pengjie Wang, Jian Xu, Bo Zheng, Xinyang Chen
2026From Clicks to Preference: A Multi-stage Alignment Framework for Generative Query Suggestion in Conversational System.Junhao Yin, Haolin Wang, Peng Bao, Ju Xu, Yongliang Wang
2026FuXi-γ: Efficient Sequential Recommendation with Exponential-Power Temporal Encoder and Diagonal-Sparse Positional Mechanism.Dezhi Yi, Wei Guo, Wenyang Cui, Wenxuan He, Huifeng Guo, Yong Liu, Zhenhua Dong, Ye Lu
2026Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching.Wei Chee Yew, Hailun Xu, Sanjay Saha, Xiaotian Fan, Hiok Hian Ong, David Yuchen Wang, Kanchan Sarkar, Zhenheng Yang, Danhui Guan
2026MM-SpuBench: Towards Better Understanding of Spurious Biases in Multimodal LLMs.Wenqian Ye, Bohan Liu, Guangtao Zheng, Di Wang, Xu Cao, Yunsheng Ma, Bolin Lai, James M. Rehg, Aidong Zhang
2026TREASURE: A Transformer-Based Foundation Model for High-Volume Transaction Understanding.Chin-Chia Michael Yeh, Uday Singh Saini, Xin Dai, Xiran Fan, Shubham Jain, Yujie Fan, Jiarui Sun, Junpeng Wang, Menghai Pan, Yingtong Dou, Yuzhong Chen, Vineeth Rakesh, Liang Wang, Yan Zheng, Mahashweta Das
2026Macro Graph of Experts for Billion-Scale Multi-Task Recommendation.Hongyu Yao, Zijin Hong, Hao Chen, Zhiqing Li, Qijie Shen, Zuobin Ying, Qihua Feng, Huan Gong, Feiran Huang
2026Caesar: Optimizing Federated Learning via Low-deviation Compression.Jiaming Yan, Jianchun Liu, Hongli Xu, Zhenguo Ma, Shilong Wang
2026Unleashing the Potential of Neighbors: Diffusion-based Latent Neighbor Generation for Session-based Recommendation.Yuhan Yang, Jie Zou, Guojia An, Jiwei Wei, Yang Yang, Heng Tao Shen
2026Heaven-Sent or Hell-Bent? Benchmarking the Intelligence and Defectiveness of LLM Hallucinations.Chengxu Yang, Jingling Yuan, Siqi Cai, Jiawei Jiang, Chuang Hu
26–50 of 8,232← PreviousNext →

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