A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals. - Wei Zhang 185; Gaoliang Peng; Chuanhao Li 002; Yuanhang Chen; Zhujun Zhang (Sensors, 2017)

Bearing Fault Diagnosis Using Fully-Connected Winner-Take-All Autoencoder. - Chuanhao Li 002; Wei Zhang 185; Gaoliang Peng; Shaohui Liu (IEEE Access, 2018)

ACDIN: Bridging the gap between artificial and real bearing damages for bearing fault diagnosis. - Yuanhang Chen; Gaoliang Peng; Chaohao Xie; Wei Zhang 185; Chuanhao Li 002; Shaohui Liu (Neurocomputing, 2018)

Unifying Clustered and Non-stationary Bandits. - Chuanhao Li 002; Qingyun Wu; Hongning Wang (AISTATS, 2021)

When and Whom to Collaborate with in a Changing Environment: A Collaborative Dynamic Bandit Solution. - Chuanhao Li 002; Qingyun Wu; Hongning Wang (SIGIR, 2021)

Incentivizing Exploration in Linear Bandits under Information Gap. - Huazheng Wang; Haifeng Xu; Chuanhao Li 002; Zhiyuan Liu 003; Hongning Wang (CoRR, 2021)

Learning the Optimal Recommendation from Explorative Users. - Fan Yao 002; Chuanhao Li 002; Denis Nekipelov; Hongning Wang; Haifeng Xu (AAAI, 2022)

Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits. - Chuanhao Li 002; Hongning Wang (AISTATS, 2022)

Learning from a Learning User for Optimal Recommendations. - Fan Yao 002; Chuanhao Li 002; Denis Nekipelov; Hongning Wang; Haifeng Xu (ICML, 2022)

Communication Efficient Federated Learning for Generalized Linear Bandits. - Chuanhao Li 002; Hongning Wang (NeurIPS, 2022)

Communication Efficient Distributed Learning for Kernelized Contextual Bandits. - Chuanhao Li 002; Huazheng Wang; Mengdi Wang 001; Hongning Wang (NeurIPS, 2022)

Learning Kernelized Contextual Bandits in a Distributed and Asynchronous Environment. - Chuanhao Li 002; Huazheng Wang; Mengdi Wang 001; Hongning Wang (ICLR, 2023)

How Bad is Top-K Recommendation under Competing Content Creators? - Fan Yao 002; Chuanhao Li 002; Denis Nekipelov; Hongning Wang; Haifeng Xu (ICML, 2023)

Incentivized Communication for Federated Bandits. - Zhepei Wei; Chuanhao Li 002; Haifeng Xu; Hongning Wang (NeurIPS, 2023)

Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial? - Fan Yao 002; Chuanhao Li 002; Karthik Abinav Sankararaman; Yiming Liao; Yan Zhu; Qifan Wang 001; Hongning Wang; Haifeng Xu (NeurIPS, 2023)

Incentivizing Exploration in Linear Contextual Bandits under Information Gap. - Huazheng Wang; Haifeng Xu; Chuanhao Li 002; Zhiyuan Liu 003; Hongning Wang (RecSys, 2023)

Federated Linear Contextual Bandits with Heterogeneous Clients. - Ethan Blaser; Chuanhao Li 002; Hongning Wang (AISTATS, 2024)

Communication-Efficient Federated Non-Linear Bandit Optimization. - Chuanhao Li 002; Chong Liu 007; Yu-Xiang Wang 003 (ICLR, 2024)

Incentivized Truthful Communication for Federated Bandits. - Zhepei Wei; Chuanhao Li 002; Tianze Ren; Haifeng Xu; Hongning Wang (ICLR, 2024)

Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict? - Fan Yao 002; Chuanhao Li 002; Denis Nekipelov; Hongning Wang; Haifeng Xu (ICML, 2024)

User Welfare Optimization in Recommender Systems with Competing Content Creators. - Fan Yao 002; Yiming Liao; Mingzhe Wu; Chuanhao Li 002; Yan Zhu; James Yang; Jingzhou Liu; Qifan Wang 001; Haifeng Xu; Hongning Wang (KDD, 2024)

PrefPaint: Aligning Image Inpainting Diffusion Model with Human Preference. - Kendong Liu; Zhiyu Zhu; Chuanhao Li 002; Hui Liu 032; Huanqiang Zeng; Junhui Hou (NeurIPS, 2024)

Pure Exploration in Asynchronous Federated Bandits. - Zichen Wang; Chuanhao Li 002; Chenyu Song; Lianghui Wang; Quanquan Gu; Huazheng Wang (UAI, 2024)

User Welfare Optimization in Recommender Systems with Competing Content Creators. - Fan Yao 002; Yiming Liao; Mingzhe Wu; Chuanhao Li 002; Yan Zhu; James Yang; Qifan Wang 001; Haifeng Xu; Hongning Wang (CoRR, 2024)

STRIDE: A Tool-Assisted LLM Agent Framework for Strategic and Interactive Decision-Making. - Chuanhao Li 002; Runhan Yang; Tiankai Li; Milad Bafarassat; Kourosh Sharifi; Dirk Bergemann; Zhuoran Yang (CoRR, 2024)

Provably Efficient Algorithm for Best Scoring Rule Identification in Online Principal-Agent Information Acquisition. - Zichen Wang; Chuanhao Li 002; Huazheng Wang (ICML, 2025)

Design-Based Bandits Under Network Interference: Trade-Off Between Regret and Statistical Inference. - Zichen Wang; Haoyang Hong; Chuanhao Li 002; Haoxuan Li; Zhiheng Zhang; Huazheng Wang (NeurIPS, 2025)

Build Your Personalized Research Group: A Multiagent Framework for Continual and Interactive Science Automation. - Ed Li; Junyu Ren; Xintian Pan; Cat Yan; Chuanhao Li 002; Dirk Bergemann; Zhuoran Yang (CoRR, 2025)

Specification-Driven Generation and Evaluation of Discrete-Event World Models via the DEVS Formalism. - Zheyu Chen 008; Zhuohuan Li; Chuanhao Li 002 (CoRR, 2026)

Training Language Models for Bilateral Trade with Private Information. - Dirk Bergemann; Soheil Ghili; Xinyang Hu; Chuanhao Li 002; Zhuoran Yang (CoRR, 2026)