Hello! I am currently a student in Zhejiang University (浙江大学), majoring in Artifical Intelligence supervised by Prof. Jianke Zhu. I have obtained B.Eng. (with Honors) from Wuhan University (武汉大学) majoring in Computer Science and Technology supervised by Prof. Zheng Wang . I used to be a summer research intern at McGill University and Mila-Quebec AI Institute in Montreal, Canada, under the supervision of Prof. Xujie Si. Prior to that, I was a visit student at KAIST in Daejeon, Korea, supervised by Prof. Chang D. Yoo.

My research interests include 2D/3D Multimodal LLMs, Visual/Scene Understanding and Embodied AI, particularly in:

1.Enabling MLLMs with common visual tasks, including open-vocabulary visual grounding for image/video/3D scene.

2.Embodied scene understanding/reasoning, including 3D question answering, 3D dense captioning and embodied dialogue/planning.

3.Efficient and effective MLLMs, including visual token compression and lightweight MLLM.

If you are interested in any form of academic cooperation with me, please feel free to email at hanxun.yu@zju.edu.cn.

🔥 News

2025.02: 🎉🎉 One paper is accepted by CVPR 2025 Highlight. (2.9%, 387/13008)
2024.07: 🎉🎉 One paper is accepted by IEEE TPAMI 2024.
2023.07: 🎉🎉 One paper is accepted by ACM MM 2023.
2023.06: 🎉🎉 I won the National Scholarship at Wuhan University. (Top 2%)
2022.06: 🎉🎉 Accepted to the Mitacs Globalink Research Internship 2022 program. (200/year Nationwide)

📝 Publications

* indicates equal contribution

CVPR 2025 (Highlight)

Hanxun Yu*, Wentong Li*, Song Wang, Junbo Chen, Jianke Zhu

CVPR, 2025 (Highlight, Top 2.9%)

This paper proposes an effective instance-aware Large Multi-modal Model for multi-task 3D scene understanding.

ACM MM 2023

Hui Wei*, Hanxun Yu*, Kewei Zhang, Zhixiang Wang, Jianke Zhu, Zheng Wang

ACM MM, 2023

This paper focuses on AI safety-critical tasks and firstly integrates Moiré-based triggers into pedestrian detection models.

TPAMI 2024

Hui Wei, Hao Tang, Xuemei Jia, Zhixiang Wang, Hanxun Yu, Zhubo Li, Shin’ichi Satoh, Luc Van Gool, Zheng Wang

IEEE TPAMI, 2024

This survey aims to summarize existing physical adversarial attack methods, providing insights for the development of trustworthy AI.

Preprint

Hui Wei*, Hanxun Yu*, Zhixiang Wang, Shin’ichi Satoh, Hao Tang, Zheng Wang

Preprint

[Paper]

This paper propose an end-to-end network to transform arbitrary input images into adversarial patches for successful physical attacks.

2024 The Chiang Chen Scholarship, China.
2024 The First Prize of Excellent Graduate Scholarship, Zhejiang University.
2023 The National Scholarship, China. (Top 2%)
2023 Outstanding Undergraduate Dissertation Award, Wuhan University.
2023 Outstanding Graduate, Wuhan University.
2022 Mitacs-CSC Globalink Research Internship Scholarship, China. (200/year Nationwide)
2020,2021,2022 The First Prize of Excellent Undergraduate Scholarship, Wuhan University.