Research Area: Artificial Intelligence and Robotics

Research Interests include:

1. EmbodiedAI

2. Large Multimodal Models and Agents

3. Neural Network Architectures

Full publication list onGoogle Scholar(10,000+ citations)：

https://scholar.google.com/citations?user=LYxjt1QAAAAJ

1. Weihao Yu, Mi Luo, Pan Zhou, Chenyang Si, Yichen Zhou, Xinchao Wang, Jiashi Feng, and Shuicheng Yan. "Metaformer is actually what you need for vision."CVPR2022.(Oral)

2. WeihaoYu, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Kevin Lin, Zicheng Liu, Xinchao Wang, and Lijuan Wang. "MM-Vet: Evaluating large multimodal models for integrated capabilities."ICML2024.(Ranked 3rd on the Most Influential ICML 2024 Papers list by Paper Digest)

3. WeihaoYu, and Xinchao Wang. "MambaOut: Do we really need mamba for vision?."CVPR2025.

4. WeihaoYu, Chenyang Si, Pan Zhou, Mi Luo, Yichen Zhou, Jiashi Feng, Shuicheng Yan, and Xinchao Wang. "Metaformer baselines for vision."TPAMI2024.

5. WeihaoYu, Pan Zhou, Shuicheng Yan, and Xinchao Wang. "InceptionNext: When inception meets convnext."CVPR2024.

For admissions under theAI for Science(Computer Science and Technology) program, we expect prospective students to meet the following basic requirements:

1. Strong self-motivation, exploratory mindset, and continuous learning ability;

2. Solid engineering skills, with the ability to implement research ideas and conduct experimental validation;

3. Background in Computer Science, Artificial Intelligence, Mathematics, Electrical Engineering, Control Engineering, Robotics, Mechanical Engineering, or related disciplines.Applicants from other disciplines are also welcome if they demonstrate strong programming, algorithmic, or robotics engineering skills;

4. Preferred qualifications include awards in computer science, mathematics, or robotics-related competitions, as well as research experience, publications, or open-source projects.