Xuanhua He
(何炫华)

HKUST
HongKong

About Me

I am currently a Ph.D. student in Computer Science and Engineering (CSE) at the Hong Kong University of Science and Technology (HKUST), supervised by Prof. Qifeng Chen. I received my M.S. from the University of Science and Technology of China (USTC), advised by Professors Jie Zhang and Chengjun Xie. I earned my Bachelor's degree in Software Engineering in 2022 from Xiamen University, under the guidance of Prof. Yongxuan Lai, and conducted research at the MOCOM Lab.

My current research focuses on video generation and world models—including long-horizon, controllable, and identity-consistent video synthesis. Previously, I worked on low-level vision problems such as image restoration.

Experience

Research Intern | Kling AI team, Kuaishou Inc
Time: Feb 2025 - Aug 2025 Mentor: Dr. Quande Liu.
Topic: Video Generation.

Research Intern | Tencent Inc
Time: Apr 2024 - Oct 2024.
Topic: Video Generation. Mentor: Dr. Quande Liu.

Computer Vision Engineer Intern | Baidu Inc
Time: Nov 2023 - Mar 2024.
Topic: Diffusion Model, Image Generation, Video Generation.

Research Intern | Horizon Robotics
Time: Jun 2023 - Nov 2023. Mentor: Dr. Guoli Wang.
Topic: Image Restoration, Neural ISP

Selected Publications [Google Scholar] [DBLP]

GameGen-X: Interactive Open-World Game Video Generation
Haoxuan Che, Xuanhua He (Co-first Author) , Quande Liu, Cheng Jin, Hao Chen
2025 International Conference on Learning Representations (ICLR), 2025
[Paper] [Arxiv] [Code]

ID-Animator: Zero-Shot Identity-Preserving Human Video Generation.
Xuanhua He, Quande Liu, Shengju Qian, Xin Wang, Tao Hu, Ke Cao, Keyu Yan, Jie Zhang.
ArXiv Preprint,2024
[Paper] [Arxiv] [Code]

Frequency-adaptive Pan-sharpening with Mixture-of-Experts
Xuanhua He, Keyu Yan, Rui Li, Chengjun Xie, Jie Zhang, Man Zhou
38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024
[Paper] [Arxiv] [Code]

Enhancing RAW-to-sRGB with Decoupled Style Structure in Fourier Domain
Xuanhua He, Tao Hu, Guoli Wang, Zejin Wang, Run Wang, Qian Zhang, Keyu Yan, Ziyi Chen, Rui Li, Chengjun Xie, Jie Zhang, Man Zhou
38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024
[Paper] [arXiv] [Code]

Pyramid Dual Domain Injection Network for Pan-sharpening
Xuanhua He, Keyu Yan, Rui Li, Chengjun Xie, Jie Zhang, Man Zhou
International Conference on Computer Vision (ICCV), 2023
[Paper] [arXiv] [Code]

Awards

  • National Scholarship, University of Science and Technology of China. 2024
  • National Scholarship, University of Science and Technology of China. 2023
  • Yuequn Scholarship for Academic Excellence, University of Science and Technology of China. 2023

Services

  • Conference and Journal Reviewer,
     IEEE Transactions on Geoscience and Remote Sensing (TGRS)
     ACM MULTIMEDIA (ACM MM)