Li, Chuanhao

32 publications

AAAI 2025 Consistency of Compositional Generalization Across Multiple Levels Chuanhao Li, Zhen Li, Chenchen Jing, Xiaomeng Fan, Wenbo Ye, Yuwei Wu, Yunde Jia
NeurIPS 2025 Design-Based Bandits Under Network Interference: Trade-Off Between Regret and Statistical Inference Zichen Wang, Haoyang Hong, Chuanhao Li, Haoxuan Li, Zhiheng Zhang, Huazheng Wang
ICLR 2025 MMIU: Multimodal Multi-Image Understanding for Evaluating Large Vision-Language Models Fanqing Meng, Jin Wang, Chuanhao Li, Quanfeng Lu, Hao Tian, Tianshuo Yang, Jiaqi Liao, Xizhou Zhu, Jifeng Dai, Yu Qiao, Ping Luo, Kaipeng Zhang, Wenqi Shao
IJCAI 2025 Multi-Sourced Compositional Generalization in Visual Question Answering Chuanhao Li, Wenbo Ye, Zhen Li, Yuwei Wu, Yunde Jia
CVPR 2025 OpenING: A Comprehensive Benchmark for Judging Open-Ended Interleaved Image-Text Generation Pengfei Zhou, Xiaopeng Peng, Jiajun Song, Chuanhao Li, Zhaopan Xu, Yue Yang, Ziyao Guo, Hao Zhang, Yuqi Lin, Yefei He, Lirui Zhao, Shuo Liu, Tianhua Li, Yuxuan Xie, Xiaojun Chang, Yu Qiao, Wenqi Shao, Kaipeng Zhang
ICML 2025 Provably Efficient Algorithm for Best Scoring Rule Identification in Online Principal-Agent Information Acquisition Zichen Wang, Chuanhao Li, Huazheng Wang
NeurIPS 2025 Sekai: A Video Dataset Towards World Exploration Zhen Li, Chuanhao Li, Xiaofeng Mao, Shaoheng Lin, Ming Li, Shitian Zhao, xu Zhao Pan, Xinyue Li, Yukang Feng, Jianwen Sun, Zizhen Li, Fanrui Zhang, Jiaxin Ai, Zhixiang Wang, Yuwei Wu, Tong He, Yunde Jia, Kaipeng Zhang
ICLR 2024 Communication-Efficient Federated Non-Linear Bandit Optimization Chuanhao Li, Chong Liu, Yu-Xiang Wang
ECCV 2024 Compositional Substitutivity of Visual Reasoning for Visual Question Answering Chuanhao Li, Zhen Li, Chenchen Jing, Yuwei Wu, Mingliang Zhai, Yunde Jia
NeurIPS 2024 ConvBench: A Multi-Turn Conversation Evaluation Benchmark with Hierarchical Ablation 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
AISTATS 2024 Federated Linear Contextual Bandits with Heterogeneous Clients Ethan Blaser, Chuanhao Li, Hongning Wang
ICML 2024 Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict? Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu
ICLR 2024 Incentivized Truthful Communication for Federated Bandits Zhepei Wei, Chuanhao Li, Tianze Ren, Haifeng Xu, Hongning Wang
NeurIPS 2024 PrefPaint: Aligning Image Inpainting Diffusion Model with Human Preference Kendong Liu, Zhiyu Zhu, Chuanhao Li, Hui Liu, Huanqiang Zeng, Junhui Hou
UAI 2024 Pure Exploration in Asynchronous Federated Bandits Zichen Wang, Chuanhao Li, Chenyu Song, Lianghui Wang, Quanquan Gu, Huazheng Wang
ICMLW 2024 STRIDE: A Tool-Assisted LLM Agent Framework for Strategic and Interactive Decision-Making Chuanhao Li, Runhan Yang, Tiankai Li, Milad Bafarassat, Kourosh Sharifi, Dirk Bergemann, Zhuoran Yang
ICMLW 2024 STRIDE: A Tool-Assisted LLM Agent Framework for Strategic and Interactive Decision-Making Chuanhao Li, Runhan Yang, Tiankai Li, Milad Bafarassat, Kourosh Sharifi, Dirk Bergemann, Zhuoran Yang
NeurIPS 2024 SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge Chuanhao Li, Zhen Li, Chenchen Jing, Shuo Liu, Wenqi Shao, Yuwei Wu, Ping Luo, Yu Qiao, Kaipeng Zhang
CVPR 2023 Exploring the Effect of Primitives for Compositional Generalization in Vision-and-Language Chuanhao Li, Zhen Li, Chenchen Jing, Yunde Jia, Yuwei Wu
ICML 2023 How Bad Is Top-$k$ Recommendation Under Competing Content Creators? Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu
NeurIPS 2023 Incentivized Communication for Federated Bandits Zhepei Wei, Chuanhao Li, Haifeng Xu, Hongning Wang
ICLR 2023 Learning Kernelized Contextual Bandits in a Distributed and Asynchronous Environment Chuanhao Li, Huazheng Wang, Mengdi Wang, Hongning Wang
ICMLW 2023 Learning from a Learning User for Optimal Recommendations Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu
NeurIPS 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
ICMLW 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
AISTATS 2022 Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits Chuanhao Li, Hongning Wang
NeurIPS 2022 Communication Efficient Distributed Learning for Kernelized Contextual Bandits Chuanhao Li, Huazheng Wang, Mengdi Wang, Hongning Wang
NeurIPS 2022 Communication Efficient Federated Learning for Generalized Linear Bandits Chuanhao Li, Hongning Wang
ICML 2022 Learning from a Learning User for Optimal Recommendations Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu
AAAI 2022 Learning the Dynamics of Visual Relational Reasoning via Reinforced Path Routing Chenchen Jing, Yunde Jia, Yuwei Wu, Chuanhao Li, Qi Wu
AAAI 2022 Learning the Optimal Recommendation from Explorative Users Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu
AISTATS 2021 Unifying Clustered and Non-Stationary Bandits Chuanhao Li, Qingyun Wu, Hongning Wang