Chuanhao Li

According to our database, Chuanhao Li authored at least 27 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

ConvBench: A Multi-Turn Conversation Evaluation Benchmark with Hierarchical Capability for Large Vision-Language Models.

Shuo Liu, Kaining Ying, Hao Zhang, Yue Yang, Yuqi Lin, Tianle Zhang, Chuanhao Li, Yu Qiao, Ping Luo, Wenqi Shao, Kaipeng Zhang

CoRR, 2024

Federated Linear Contextual Bandits with Heterogeneous Clients.

Ethan Blaser, Chuanhao Li, Hongning Wang

CoRR, 2024

Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict?

Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu

CoRR, 2024

Incentivized Truthful Communication for Federated Bandits.

Zhepei Wei, Chuanhao Li, Tianze Ren, Haifeng Xu, Hongning Wang

CoRR, 2024

2023

Communication-Efficient Federated Non-Linear Bandit Optimization.

Chuanhao Li, Chong Liu, Yu-Xiang Wang

CoRR, 2023

Pure Exploration in Asynchronous Federated Bandits.

Zichen Wang, Chuanhao Li, Chenyu Song, Lianghui Wang, Quanquan Gu, Huazheng Wang

CoRR, 2023

Incentivizing Exploration in Linear Contextual Bandits under Information Gap.

Huazheng Wang, Haifeng Xu, Chuanhao Li, Zhiyuan Liu, Hongning Wang

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial?

Fan Yao, Chuanhao Li, Karthik Abinav Sankararaman, Yiming Liao, Yan Zhu, Qifan Wang, Hongning Wang, Haifeng Xu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Incentivized Communication for Federated Bandits.

Zhepei Wei, Chuanhao Li, Haifeng Xu, Hongning Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

How Bad is Top-K Recommendation under Competing Content Creators?

Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu

Proceedings of the International Conference on Machine Learning, 2023

Learning Kernelized Contextual Bandits in a Distributed and Asynchronous Environment.

Chuanhao Li, Huazheng Wang, Mengdi Wang, Hongning Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Exploring the Effect of Primitives for Compositional Generalization in Vision-and-Language.

Chuanhao Li, Zhen Li, Chenchen Jing, Yunde Jia, Yuwei Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Synthesizing Counterfactual Samples for Overcoming Moment Biases in Temporal Video Grounding.

Mingliang Zhai, Chuanhao Li, Chenchen Jing, Yuwei Wu

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Communication Efficient Distributed Learning for Kernelized Contextual Bandits.

Chuanhao Li, Huazheng Wang, Mengdi Wang, Hongning Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Communication Efficient Federated Learning for Generalized Linear Bandits.

Chuanhao Li, Hongning Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Self-supervised Strategy for the Robustness of VQA Models.

Jingyu Su, Chuanhao Li, Chenchen Jing, Yuwei Wu

Proceedings of the Intelligent Information Processing XI, 2022

Learning from a Learning User for Optimal Recommendations.

Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu

Proceedings of the International Conference on Machine Learning, 2022

Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits.

Chuanhao Li, Hongning Wang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Learning the Optimal Recommendation from Explorative Users.

Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Learning the Dynamics of Visual Relational Reasoning via Reinforced Path Routing.

Chenchen Jing, Yunde Jia, Yuwei Wu, Chuanhao Li, Qi Wu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Partial tracking method based on siamese network.

Chuanhao Li, Shukuan Lin, Jianzhong Qiao, Shan An

Vis. Comput., 2021

Incentivizing Exploration in Linear Bandits under Information Gap.

Huazheng Wang, Haifeng Xu, Chuanhao Li, Zhiyuan Liu, Hongning Wang

CoRR, 2021

When and Whom to Collaborate with in a Changing Environment: A Collaborative Dynamic Bandit Solution.

Chuanhao Li, Qingyun Wu, Hongning Wang

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Unifying Clustered and Non-stationary Bandits.

Chuanhao Li, Qingyun Wu, Hongning Wang

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2018

ACDIN: Bridging the gap between artificial and real bearing damages for bearing fault diagnosis.

Yuanhang Chen, Gaoliang Peng, Chaohao Xie, Wei Zhang, Chuanhao Li, Shaohui Liu

Neurocomputing, 2018

Bearing Fault Diagnosis Using Fully-Connected Winner-Take-All Autoencoder.

Chuanhao Li, Wei Zhang, Gaoliang Peng, Shaohui Liu

IEEE Access, 2018

2017

A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals.

Wei Zhang, Gaoliang Peng, Chuanhao Li, Yuanhang Chen, Zhujun Zhang

Sensors, 2017