1. Brief Introduction

Xiao Pan is currently an Assistant Professor in the College of Electronics and Information Engineering at Shenzhen University. His primary research interests lie in 3D vision, multimodal AI, and AI-Generated Content (AIGC). He received his Ph.D. in Artificial Intelligence from Zhejiang University in 2025, under the supervision of Professor Yi Yang. During his studies, he has published 5 first-author papers in top-tier international journals and conferences in computer vision and multimedia. He has gained substantial industry experience and international academic exposure, having served as a research intern in the Foundation Model Group at Alibaba's Tongyi Lab and conducted an academic visit at Nanyang Technological University in Singapore. He has been honored with awards such as the National Ph.D. Scholarship and the Academic Excellence Scholarship from Zhejiang University. He serves regularly as a reviewer for several premier international conferences and journals. He maintains close academic collaborations with Professor Yi Yang (Zhejiang University), Professor Yu Wu (Wuhan University), Professor Zhe Dong Zheng (University of Macau), and Alibaba DAMO Academy, among others.

2. Education Background

[1] 2015-2019 Zhejiang University, B.Eng. in Automation (Control)

[2] 2019-2021 Zhejiang University, M.Eng. in Control Engineering

[3] 2021-2025 Zhejiang University, Ph.D. in Artificial Intelligence

3. Working Experience

[1] 2026/1-Present Shenzhen University, College of Electronics and Information Engineering (Team of Academician Wenhua Ding), Assistant Professor

[2] 2024/6-2025/6 Nanyang Technological University (Team of Prof. Ying Wei), Visiting Student

[3] 2021/6-2024/3 Alibaba Tongyi Lab (Foundation Model Group), Research Intern

4. Awards

[1] National Scholarship, Zhejiang University

[2] Academic Excellence Scholarship, Zhejiang University

5. Current Research Directions

[1] Computer Vision (3D Reconstruction, Semantic Understanding, AIGC, Digital Human)

[2] Multimodal AI

[3] AI+X (AI Applications in Various Domains)

6. Representative Publications 

[1] Xiao Pan, Zongxin Yang, Shuai Bai, Yi Yang. GD‑NeRF: Generative Detail Compensation for One‑shot Generalizable Neural Radiance Fields. ACM ToMM 2025.

[2] Xiao Pan, Zongxin Yang, Jianxin Ma, Chang Zhou, Yi Yang. TransHuman: A Transformer‑based Human Representation for Generalizable Neural Human Rendering. ICCV 2023.

[3] Xiao Pan, Hao Luo, Jianming Zhang, and Peike Li. Dynamic Gradient Reactivation for Backward Compatible Person Re‑identification. Pattern Recognition 2023.

[4] Xiao Pan, Peike Li, Chang Zhou, Hongxia Yang, Jingren Zhou, and Yi Yang. In‑n‑out Generative Learning for Dense Unsupervised Video Segmentation. ACM MM 2022.

[5] Xiao Pan, Hao Luo, Wei Jiang, Jianming Zhang, Jianyang Gu, and Peike Li. SFGN: Representing Sequence with One Super Frame for Video Person Re‑identification. Knowledge‑based Systems 2022.

The following positions are currently open for application:

[1] Postdoctoral Researcher: We are actively seeking postdoctoral researchers in the areas of 3D reconstruction, understanding, and AIGC. Prior publications in top-tier conferences or journals are preferred.

[2] Research Intern: Undergraduate students with a strong interest in 3D vision, multimodal AI, AIGC, and related fields are welcome to apply for research intern positions. Interns will be deeply involved in active research projects and receive comprehensive guidance.

[3] Master's Students: We plan to admit one master's student for enrollment in September 2026. Students with backgrounds in computer vision, machine learning, or related areas are encouraged to apply. Successful candidates will receive all-around guidance in research ideation, code implementation, and academic writing. Priority will be given to those interested in pursuing a Ph.D. in the future. Outstanding students may be recommended for Ph.D. programs at institutions such as Zhejiang University, Wuhan University, or the University of Macau.

Interested candidates are welcome to send their CVs to xiaopan97@szu.edu.cn.