Chuanhao Li

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 44

Top Topics

Distributed Learning

Recommender Systems

Contextual Bandit

Upper Confidence Bound

Top Venues

Publications

Chuanhao Li, Zhen Li, Chenchen Jing, Shuo Liu, Wenqi Shao, Yuwei Wu, Ping Luo, Yu Qiao, Kaipeng Zhang
UDKAG: Augmenting Large Vision-Language Models with Up-to-Date Knowledge. CoRR (2024)
Chuanhao Li, Runhan Yang, Tiankai Li, Milad Bafarassat, Kourosh Sharifi, Dirk Bergemann, Zhuoran Yang
STRIDE: A Tool-Assisted LLM Agent Framework for Strategic and Interactive Decision-Making. CoRR (2024)
Fan Yao, Yiming Liao, Mingzhe Wu, Chuanhao Li, Yan Zhu, James Yang, Qifan Wang, Haifeng Xu, Hongning Wang
User Welfare Optimization in Recommender Systems with Competing Content Creators. CoRR (2024)
Zhepei Wei, Chuanhao Li, Tianze Ren, Haifeng Xu, Hongning Wang
Incentivized Truthful Communication for Federated Bandits. CoRR (2024)
Chuanhao Li, Chong Liu, Yu-Xiang Wang
Communication-Efficient Federated Non-Linear Bandit Optimization. ICLR (2024)
Zhepei Wei, Chuanhao Li, Tianze Ren, Haifeng Xu, Hongning Wang
Incentivized Truthful Communication for Federated Bandits. ICLR (2024)
Fan Yao, Yiming Liao, Mingzhe Wu, Chuanhao Li, Yan Zhu, James Yang, Jingzhou Liu, Qifan Wang, Haifeng Xu, Hongning Wang
User Welfare Optimization in Recommender Systems with Competing Content Creators. KDD (2024)
Ethan Blaser, Chuanhao Li, Hongning Wang
Federated Linear Contextual Bandits with Heterogeneous Clients. CoRR (2024)
Shuo Liu, Kaining Ying, Hao Zhang, Yue Yang, Yuqi Lin, Tianle Zhang, Chuanhao Li, Yu Qiao, Ping Luo, Wenqi Shao, Kaipeng Zhang
ConvBench: A Multi-Turn Conversation Evaluation Benchmark with Hierarchical Capability for Large Vision-Language Models. CoRR (2024)
Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu
Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict? CoRR (2024)
Ethan Blaser, Chuanhao Li, Hongning Wang
Federated Linear Contextual Bandits with Heterogeneous Clients. AISTATS (2024)
Chuanhao Li, Chong Liu, Yu-Xiang Wang
Communication-Efficient Federated Non-Linear Bandit Optimization. CoRR (2023)
Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu
How Bad is Top-K Recommendation under Competing Content Creators? CoRR (2023)
Zhepei Wei, Chuanhao Li, Haifeng Xu, Hongning Wang
Incentivized Communication for Federated Bandits. NeurIPS (2023)
Chuanhao Li, Huazheng Wang, Mengdi Wang, Hongning Wang
Learning Kernelized Contextual Bandits in a Distributed and Asynchronous Environment. ICLR (2023)
Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu
How Bad is Top-K Recommendation under Competing Content Creators? ICML (2023)
Zichen Wang, Chuanhao Li, Chenyu Song, Lianghui Wang, Quanquan Gu, Huazheng Wang
Pure Exploration in Asynchronous Federated Bandits. CoRR (2023)
Zhepei Wei, Chuanhao Li, Haifeng Xu, Hongning Wang
Incentivized Communication for Federated Bandits. CoRR (2023)
Huazheng Wang, Haifeng Xu, Chuanhao Li, Zhiyuan Liu, Hongning Wang
Incentivizing Exploration in Linear Contextual Bandits under Information Gap. RecSys (2023)
Fan Yao, Chuanhao Li, Karthik Abinav Sankararaman, Yiming Liao, Yan Zhu, Qifan Wang, Hongning Wang, Haifeng Xu
Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial? CoRR (2023)
Chuanhao Li, Zhen Li, Chenchen Jing, Yunde Jia, Yuwei Wu
Exploring the Effect of Primitives for Compositional Generalization in Vision-and-Language. CVPR (2023)
Fan Yao, Chuanhao Li, Karthik Abinav Sankararaman, Yiming Liao, Yan Zhu, Qifan Wang, Hongning Wang, Haifeng Xu
Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial? NeurIPS (2023)
Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu
Learning from a Learning User for Optimal Recommendations. ICML (2022)
Chuanhao Li, Hongning Wang
Communication Efficient Federated Learning for Generalized Linear Bandits. CoRR (2022)
Chuanhao Li, Huazheng Wang, Mengdi Wang, Hongning Wang
Communication Efficient Distributed Learning for Kernelized Contextual Bandits. NeurIPS (2022)
Jingyu Su, Chuanhao Li, Chenchen Jing, Yuwei Wu
A Self-supervised Strategy for the Robustness of VQA Models. Intelligent Information Processing (2022)
Chuanhao Li, Hongning Wang
Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits. AISTATS (2022)
Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu
Learning from a Learning User for Optimal Recommendations. CoRR (2022)
Chuanhao Li, Hongning Wang
Communication Efficient Federated Learning for Generalized Linear Bandits. NeurIPS (2022)
Mingliang Zhai, Chuanhao Li, Chenchen Jing, Yuwei Wu
Synthesizing Counterfactual Samples for Overcoming Moment Biases in Temporal Video Grounding. PRCV (1) (2022)
Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu
Learning the Optimal Recommendation from Explorative Users. AAAI (2022)
Chenchen Jing, Yunde Jia, Yuwei Wu, Chuanhao Li, Qi Wu
Learning the Dynamics of Visual Relational Reasoning via Reinforced Path Routing. AAAI (2022)
Chuanhao Li, Huazheng Wang, Mengdi Wang, Hongning Wang
Communication Efficient Distributed Learning for Kernelized Contextual Bandits. CoRR (2022)
Huazheng Wang, Haifeng Xu, Chuanhao Li, Zhiyuan Liu, Hongning Wang
Incentivizing Exploration in Linear Bandits under Information Gap. CoRR (2021)
Chuanhao Li, Hongning Wang
Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits. CoRR (2021)
Chuanhao Li, Shukuan Lin, Jianzhong Qiao, Shan An
Partial tracking method based on siamese network. Vis. Comput. 37 (3) (2021)
Chuanhao Li, Qingyun Wu, Hongning Wang
Unifying Clustered and Non-stationary Bandits. AISTATS (2021)
Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu
Learning the Optimal Recommendation from Explorative Users. CoRR (2021)
Chuanhao Li, Qingyun Wu, Hongning Wang
When and Whom to Collaborate with in a Changing Environment: A Collaborative Dynamic Bandit Solution. CoRR (2021)
Chuanhao Li, Qingyun Wu, Hongning Wang
When and Whom to Collaborate with in a Changing Environment: A Collaborative Dynamic Bandit Solution. SIGIR (2021)
Chuanhao Li, Qingyun Wu, Hongning Wang
Unifying Clustered and Non-stationary Bandits. CoRR (2020)
Chuanhao Li, Wei Zhang, Gaoliang Peng, Shaohui Liu
Bearing Fault Diagnosis Using Fully-Connected Winner-Take-All Autoencoder. IEEE Access 6 (2018)
Yuanhang Chen, Gaoliang Peng, Chaohao Xie, Wei Zhang, Chuanhao Li, Shaohui Liu
ACDIN: Bridging the gap between artificial and real bearing damages for bearing fault diagnosis. Neurocomputing 294 (2018)
Wei Zhang, Gaoliang Peng, Chuanhao Li, Yuanhang Chen, Zhujun Zhang
A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals. Sensors 17 (2) (2017)