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Chuanhao Li
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2020 – today
- 2024
- [c21]Ethan Blaser, Chuanhao Li, Hongning Wang:
Federated Linear Contextual Bandits with Heterogeneous Clients. AISTATS 2024: 631-639 - [c20]Chuanhao Li, Chong Liu, Yu-Xiang Wang:
Communication-Efficient Federated Non-Linear Bandit Optimization. ICLR 2024 - [c19]Zhepei Wei, Chuanhao Li, Tianze Ren, Haifeng Xu, Hongning Wang:
Incentivized Truthful Communication for Federated Bandits. ICLR 2024 - [c18]Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu:
Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict? ICML 2024 - [c17]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: 3874-3885 - [i21]Zhepei Wei, Chuanhao Li, Tianze Ren, Haifeng Xu, Hongning Wang:
Incentivized Truthful Communication for Federated Bandits. CoRR abs/2402.04485 (2024) - [i20]Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu:
Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict? CoRR abs/2402.15467 (2024) - [i19]Ethan Blaser, Chuanhao Li, Hongning Wang:
Federated Linear Contextual Bandits with Heterogeneous Clients. CoRR abs/2403.00116 (2024) - [i18]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 abs/2403.20194 (2024) - [i17]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 abs/2404.18319 (2024) - [i16]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 abs/2405.14554 (2024) - [i15]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 abs/2405.16376 (2024) - [i14]Fanqing Meng, Jin Wang, Chuanhao Li, Quanfeng Lu, Hao Tian, Jiaqi Liao, Xizhou Zhu, Jifeng Dai, Yu Qiao, Ping Luo, Kaipeng Zhang, Wenqi Shao:
MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models. CoRR abs/2408.02718 (2024) - 2023
- [c16]Chuanhao Li, Zhen Li, Chenchen Jing, Yunde Jia, Yuwei Wu:
Exploring the Effect of Primitives for Compositional Generalization in Vision-and-Language. CVPR 2023: 19092-19101 - [c15]Chuanhao Li, Huazheng Wang, Mengdi Wang, Hongning Wang:
Learning Kernelized Contextual Bandits in a Distributed and Asynchronous Environment. ICLR 2023 - [c14]Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu:
How Bad is Top-K Recommendation under Competing Content Creators? ICML 2023: 39674-39701 - [c13]Zhepei Wei, Chuanhao Li, Haifeng Xu, Hongning Wang:
Incentivized Communication for Federated Bandits. NeurIPS 2023 - [c12]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 - [c11]Huazheng Wang, Haifeng Xu, Chuanhao Li, Zhiyuan Liu, Hongning Wang:
Incentivizing Exploration in Linear Contextual Bandits under Information Gap. RecSys 2023: 415-425 - [i13]Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu:
How Bad is Top-K Recommendation under Competing Content Creators? CoRR abs/2302.01971 (2023) - [i12]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 abs/2306.07893 (2023) - [i11]Zhepei Wei, Chuanhao Li, Haifeng Xu, Hongning Wang:
Incentivized Communication for Federated Bandits. CoRR abs/2309.11702 (2023) - [i10]Zichen Wang, Chuanhao Li, Chenyu Song, Lianghui Wang, Quanquan Gu, Huazheng Wang:
Pure Exploration in Asynchronous Federated Bandits. CoRR abs/2310.11015 (2023) - [i9]Chuanhao Li, Chong Liu, Yu-Xiang Wang:
Communication-Efficient Federated Non-Linear Bandit Optimization. CoRR abs/2311.01695 (2023) - 2022
- [c10]Chenchen Jing, Yunde Jia, Yuwei Wu, Chuanhao Li, Qi Wu:
Learning the Dynamics of Visual Relational Reasoning via Reinforced Path Routing. AAAI 2022: 1122-1130 - [c9]Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu:
Learning the Optimal Recommendation from Explorative Users. AAAI 2022: 9457-9465 - [c8]Chuanhao Li, Hongning Wang:
Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits. AISTATS 2022: 6529-6553 - [c7]Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu:
Learning from a Learning User for Optimal Recommendations. ICML 2022: 25382-25406 - [c6]Jingyu Su, Chuanhao Li, Chenchen Jing, Yuwei Wu:
A Self-supervised Strategy for the Robustness of VQA Models. Intelligent Information Processing 2022: 290-298 - [c5]Chuanhao Li, Hongning Wang:
Communication Efficient Federated Learning for Generalized Linear Bandits. NeurIPS 2022 - [c4]Chuanhao Li, Huazheng Wang, Mengdi Wang, Hongning Wang:
Communication Efficient Distributed Learning for Kernelized Contextual Bandits. NeurIPS 2022 - [c3]Mingliang Zhai, Chuanhao Li, Chenchen Jing, Yuwei Wu:
Synthesizing Counterfactual Samples for Overcoming Moment Biases in Temporal Video Grounding. PRCV (1) 2022: 436-448 - [i8]Chuanhao Li, Hongning Wang:
Communication Efficient Federated Learning for Generalized Linear Bandits. CoRR abs/2202.01087 (2022) - [i7]Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu:
Learning from a Learning User for Optimal Recommendations. CoRR abs/2202.01879 (2022) - [i6]Chuanhao Li, Huazheng Wang, Mengdi Wang, Hongning Wang:
Communication Efficient Distributed Learning for Kernelized Contextual Bandits. CoRR abs/2206.04835 (2022) - 2021
- [j4]Chuanhao Li, Shukuan Lin, Jianzhong Qiao, Shan An:
Partial tracking method based on siamese network. Vis. Comput. 37(3): 587-601 (2021) - [c2]Chuanhao Li, Qingyun Wu, Hongning Wang:
Unifying Clustered and Non-stationary Bandits. AISTATS 2021: 1063-1071 - [c1]Chuanhao Li, Qingyun Wu, Hongning Wang:
When and Whom to Collaborate with in a Changing Environment: A Collaborative Dynamic Bandit Solution. SIGIR 2021: 1410-1419 - [i5]Huazheng Wang, Haifeng Xu, Chuanhao Li, Zhiyuan Liu, Hongning Wang:
Incentivizing Exploration in Linear Bandits under Information Gap. CoRR abs/2104.03860 (2021) - [i4]Chuanhao Li, Qingyun Wu, Hongning Wang:
When and Whom to Collaborate with in a Changing Environment: A Collaborative Dynamic Bandit Solution. CoRR abs/2104.07150 (2021) - [i3]Chuanhao Li, Hongning Wang:
Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits. CoRR abs/2110.01463 (2021) - [i2]Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu:
Learning the Optimal Recommendation from Explorative Users. CoRR abs/2110.03068 (2021) - 2020
- [i1]Chuanhao Li, Qingyun Wu, Hongning Wang:
Unifying Clustered and Non-stationary Bandits. CoRR abs/2009.02463 (2020)
2010 – 2019
- 2018
- [j3]Chuanhao Li, Wei Zhang, Gaoliang Peng, Shaohui Liu:
Bearing Fault Diagnosis Using Fully-Connected Winner-Take-All Autoencoder. IEEE Access 6: 6103-6115 (2018) - [j2]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: 61-71 (2018) - 2017
- [j1]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): 425 (2017)
Coauthor Index
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last updated on 2024-09-14 01:10 CEST by the dblp team
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