Chuanhao Li

Chuanhao Li
（李川皓）

Researcher, Shanghai AI Lab

📜 Biography

I am a research in Shanghai AI Lab, collaborating closely with Dr. Kaipeng Zhang and Dr. Wenqi Shao. I recevied my Ph.D. degree in 2025 from Beijing Institute of Technology (BIT), advised by Prof. Yuwei Wu and Prof. Yunde Jia, Master degree in 2020 from Northeastern University supervised by Prof. Shukuan Lin, and Bachlor degree in 2017 from Harbin University of Science and Technology.

My research area lies at:

  • vision-and-language
  • image/video generation
  • multimodal large language models
  • compositional generalization

🎓 Education

  • 2020.09 - 2025.03, Ph.D. in CS, Beijing Institute of Technology, Beijing, China
  • 2017.09 - 2020.01, Master in CS, Northeastern University, Shenyang, Liaoning, China
  • 2013.09 - 2017.06, Bachelor in CS, Harbin University of Science and Technology, Harbin, Heilongjiang, China

⚡ Preprint

ARMOR: Empowering Autoregressive Multimodal Understanding Model with Interleaved Multimodal Generation via Asymmetric Synergy

  • Jianwen Sun, Yukang Feng, Chuanhao Li, Fanrui Zhang, Zizhen Li, Jiaxin Ai, Sizhuo Zhou, Pengfei Zhou, Yu Dai, Shenglin Zhang, and Kaipeng Zhang.
  • [arXiv 2025] [paper] [code]

MDK12-Bench: A Multi-Discipline Benchmark for Evaluating Reasoning in Multimodal Large Language Models

  • Pengfei Zhou, Fanrui Zhang, Xiaopeng Peng, Zhaopan Xu, Jiaxin Ai, Yansheng Qiu, Chuanhao Li, Zhen Li, Ming Li, Yukang Feng, Jianwen Sun, Haoquan Zhang, Zizhen Li, Xiaofeng Mao, Wangbo Zhao, Kai Wang, Xiaojun Chang, Wenqi Shao, Yang You, and Kaipeng Zhang.
  • [arXiv 2025] [paper] [code]

📝 Selected Publications

GATE 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, and Kaipeng Zhang.
  • [CVPR 2025] [Oral] (Top 3.3%) [paper] [code]

MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models

  • Fanqing Meng*, Jin Wang*, Chuanhao Li*, Quanfeng Lu, Hao Tian, Jiaqi Liao, Xizhou Zhu, Jifeng Dai, Yu Qiao, Ping Luo, Kaipeng Zhang, and Wenqi Shao. (* equal contribution)
  • [ICLR 2025] [paper] [code]

Consistency of Compositional Generalization across Multiple Levels

  • Chuanhao Li, Zhen Li, Chenchen Jing, Xiaomeng Fan, Wenbo Ye, Yuwei Wu, and Yunde Jia.
  • [AAAI 2025] [paper] [code]

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, and Kaipeng Zhang.
  • [NeurIPS 2024] [paper] [code]

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, and Kaipeng Zhang.
  • [NeurIPS 2024] [Spotlight] [paper] [code]

Compositional Substitutivity of Visual Reasoning for Visual Question Answering

  • Chuanhao Li, Zhen Li, Chenchen Jing, Yuwei Wu, Mingliang Zhai, and Yunde Jia.
  • [ECCV 2024] [paper] [code]

In-Context Compositional Generalization for Large Vision-Language Models

  • Chuanhao Li, Chenchen Jing, Zhen Li, Mingliang Zhai, Yuwei Wu, and Yunde Jia.
  • [EMNLP 2024] [Main Conference] [paper]

Adversarial Sample Synthesis for Visual Question Answering

  • Chuanhao Li, Chenchen Jing, Zhen Li, Yuwei Wu, and Yunde Jia.
  • [TOMM 2024] [paper]

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

  • Chuanhao Li, Zhen Li, Chenchen Jing, Yuwei Wu, and Yunde Jia.
  • [CVPR 2023] [paper] [code]

Learning the Dynamics of Visual Relational Reasoning via Reinforced Path Routing

  • Chenchen Jing, Yunde Jia, Yuwei Wu, Chuanhao Li, and Qi Wu.
  • [AAAI 2022] [paper]

🏅 Selected Awards

  • 2023.01, the second prize in the multi-modal technology innovation competition of the first “Xingzhi Cup” National Artificial Intelligence Innovation Application Competition
  • 2016.05, the first prize in the CCPC Heilongjiang Collegiate Programming Contest
  • 2015.05, the first prize in the CCPC Heilongjiang Collegiate Programming Contest
  • 2014.07, the silver medal in the ACM-ICPC Collegiate Programming Contest Shanghai Invitational

🏛️ Academic Activities

💻 Work Experience

  • 2025.04 - Present, Researcher, Shanghai AI Lab, Shanghai, China
  • 2024.01 - 2025.04, Intern, Shanghai AI Lab, Shanghai, China
  • 2019.07 - 2019.10, Intern, UISEE, Beijing, China