Wang, Chaokun

13 publications

AAAI 2025 Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion Cheng Wu, Liang Su, Chaokun Wang, Shaoyun Shi, Ziqian Zhang, Ziyang Liu, Wang Peng, Wenjin Wu, Peng Jiang

NeurIPS 2025 Negative Feedback Really Matters: Signed Dual-Channel Graph Contrastive Learning Framework for Recommendation Leqi Zheng, Chaokun Wang, Zixin Song, Cheng Wu, Shannan Yan, Jiajun Zhang, Ziyang Liu

ICML 2025 What Makes In-Context Learning Effective for Mathematical Reasoning Jiayu Liu, Zhenya Huang, Chaokun Wang, Xunpeng Huang, Chengxiang Zhai, Enhong Chen

IJCAI 2024 Graph Contrastive Learning with Reinforcement Augmentation Ziyang Liu, Chaokun Wang, Cheng Wu

AAAI 2019 Community Focusing: Yet Another Query-Dependent Community Detection Zhuo Wang, Weiping Wang, Chaokun Wang, Xiaoyan Gu, Bo Li, Dan Meng

AAAI 2019 Forbidden Nodes Aware Community Search Chaokun Wang, Junchao Zhu

AAAI 2018 RSDNE: Exploring Relaxed Similarity and Dissimilarity from Completely-Imbalanced Labels for Network Embedding Zheng Wang, Xiaojun Ye, Chaokun Wang, Yuexin Wu, Changping Wang, Kaiwen Liang

AAAI 2017 Multiple Source Detection Without Knowing the Underlying Propagation Model Zheng Wang, Chaokun Wang, Jisheng Pei, Xiaojun Ye

IJCAI 2016 Causality Based Propagation History Ranking in Social Networks Zheng Wang, Chaokun Wang, Jisheng Pei, Xiaojun Ye, Philip S. Yu

AAAI 2015 A Personalized Interest-Forgetting Markov Model for Recommendations Jun Chen, Chaokun Wang, Jianmin Wang

AAAI 2015 CrowdMR: Integrating Crowdsourcing with MapReduce for AI-Hard Problems Jun Chen, Chaokun Wang, Yiyuan Bai

AAAI 2015 Will You "Reconsume" the near past? Fast Prediction on Short-Term Reconsumption Behaviors Jun Chen, Chaokun Wang, Jianmin Wang

AAAI 2014 Learning Temporal Dynamics of Behavior Propagation in Social Networks Jun Zhang, Chaokun Wang, Jianmin Wang