About Me

I am currently a Ph.D. student in Computer Science and Engineering at HKUST, advised by Prof. Qifeng Chen. Previously, I obtained my M.S. from USTC, working with Prof. Jie Zhang and Chengjun Xie. I received my B.Eng. degree from Xiamen University in 2022, where I conducted research at the MOCOM Lab under the guidance of Prof. Yongxuan Lai.

My research passion lies in Generative AI. Specifically, I focus on building controllable and physics-consistent World Models for video generation. I also have extensive experience in low-level vision tasks such as image restoration.

News

Nov 2025 Four papers accepted to AAAI 2026.
Sep 2025 Started my Ph.D. journey at HKUST.
Sep 2025 Joined Meituan as a Research Intern.
May 2025 Released two video editing papers on arXiv: FullDiT2 and UNIC.
Feb 2025 Joined Kuaishou Kling AI as a Research Intern.
Feb 2025 GameGen-X accepted to ICLR 2025!
Oct 2024 Released GameGen-X, an interactive open-world game video generation model.
Oct 2024 Completed research internship at Tencent.
May 2024 Released ID-Animator, a zero-shot identity-preserving video generation model.
Apr 2024 Joined Tencent as a Research Intern.

Selected Publications

Video Generation & World Models
ContextFlow
ContextFlow: Training-Free Video Object Editing via Adaptive Context Enrichment
Yiyang Chen, Xuanhua He*(corresponding author), Xiujun Ma, Yue Ma
AAAI 2026
ContextFlow
FullDiT2: Efficient In-Context Conditioning for Video Diffusion Transformers
Xuanhua He, Quande Liu, Zixuan Ye, Weicai Ye, Qiulin Wang, Xintao Wang, Qifeng Chen, Pengfei Wan, Di Zhang, Kun Gai
Arxiv 2025
UNIC: Unified In-Context Video Editing
Zixuan Ye, Xuanhua He*(Co-First Author), Quande Liu, Qiulin Wang, Xintao Wang, Pengfei Wan, Di Zhang, Kun Gai, Qifeng Chen, Wenhan Luo
Arxiv 2025
GameGen-X: Interactive Open-World Game Video Generation
Haoxuan Che, Xuanhua He*(Co-First Author), Quande Liu, Cheng Jin, Hao Chen
ICLR 2025
ID-Animator
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 2024
Low-level Vision
FAME-Net
Pyramid Dual Domain Injection Network for Pan-sharpening
Xuanhua He, Keyu Yan, Rui Li, Chengjun Xie, Jie Zhang, Man Zhou
ICCV 2023
FAME-Net
Frequency-adaptive Pan-sharpening with Mixture-of-Experts
Xuanhua He, Keyu Yan, Rui Li, Chengjun Xie, Jie Zhang, Man Zhou
AAAI 2024
FourierISP
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
AAAI 2024
tcsvt
Distilling Textual Priors from LLM to Efficient Image Fusion
Ran Zhang, Xuanhua He* (Project Leader), Ke Cao, Liu Liu, Li Zhang, Man Zhou, Jie Zhang, Meng Wang
IEEE TCSVT 2025

Experience

Meigen, Meituan
Research Intern · Topic: Video Avatar and World Model · Mentor: Yong Zhang
Sep 2025 - Present
Kling AI Team, Kuaishou
Research Intern · Topic: Video Editing · Mentor: Quande Liu
Feb 2025 - Aug 2025
LightSpeed, Tencent Inc
Research Intern · Topic: Intercative Video Generation · Mentor: Quande Liu
Apr 2024 - Oct 2024
Baidu Inc
CV Engineer Intern · Topic: Video Generation
Nov 2023 - Mar 2024
Horizon Robotics
Research Intern · Topic: Low-level Vision · Mentor: Guoli Wang.
Jun 2023 - Nov 2023

Awards

  • Outstanding Graduate, USTC (2025)
  • National Scholarship, USTC (2023, 2024)
  • Yuequn Scholarship for Academic Excellence, USTC (2023)