Zixuan Ye

About Me

Hi👋! I'm Zixuan Ye (叶紫璇), a first-year Ph.D. student at the Hong Kong University of Science and Technology, affiliated with the C4 Group, supervised by Wenhan Luo. I obtained both my Bachelor's and Master's degrees from Huazhong University of Science and Technology, supervised by Hao Lu and Zhiguo Cao. My research interests focus on GenAI, especially in video generation and editing.

I'm always open to new collaborations, so please feel free to get in touch🙋!

News

Education

• 

  Ph.D. in Artificial Intelligence

  Hong Kong University of Science and Technology (HKUST)

  Supervisor: Wenhan Luo

  Sep 2025 - Present
• 

  Master in Intelligent Science and Technology

  Huazhong University of Science and Technology (HUST)

  Supervisors: Hao Lu and Zhiguo Cao

  Sep 2022 - Jun 2025
• 

  B.Eng in Automation

  Huazhong University of Science and Technology (HUST)

  Sep 2018 - Jul 2022

Experience

• 

  Research Intern

  Kuaishou Technology

  Topic: Controllable video generation: video editing.

  Advisors: Dr. Quande Liu and Dr. Xintao Wang.

  Feb 2025 - present
• 

  Research Intern

  Kuaishou Technology

  Topic: Controllable video generation: video stylization.

  Advisors: Dr. Huijuan Huang and Dr. Xintao Wang.

  Jul 2024 - Feb 2025

Publications

Selected Preprint

• UNIC: Unified In-Context Video Editing

  Zixuan Ye*, Xuanhua He*, Quande Liu, Qiulin Wang, Xintao Wang, Pengfei Wan, Di Zhang, Kun Gai, Qifeng Chen, Wenhan Luo

  arXiv:2506.04216

  Project PDF
  
• 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:2506.04213

  Project PDF
  

Conference Papers

• StyleMaster: Stylize Your Video with Artistic Generation and Translation

  Zixuan Ye, Huijuan Huang, Xintao Wang, Pengfei Wan, Di Zhang, Wenhan Luo

  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025

  Project PDF Code
  
• Unifying Automatic and Interactive Matting with Pretrained ViTs

  Zixuan Ye, Wenze Liu, He Guo, Yujia Liang, Chaoyi Hong, Hao Lu, Zhiguo Cao

  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024

  PDF Code
  
• Infusing Definiteness into Randomness: Rethinking Composition Styles for Deep Image Matting

  Zixuan Ye*, Yutong Dai*, Chaoyi Hong, Zhiguo Cao, Hao Lu

  AAAI Conference on Artificial Intelligence (AAAI), 2023

  PDF Code
  
• SCAPE: A Simple and Strong Category-Agnostic Pose Estimator

  Yujia Liang*, Zixuan Ye*, Wenze Liu, Hao Lu

  European Conference on Computer Vision (ECCV), 2024

  PDF Code
  
• In-Context Matting

  He Guo, Zixuan Ye, Zhiguo Cao, Hao Lu

  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024 (Highlight)

  PDF Code
  
• Training Matting Models without Alpha Labels

  Wenze Liu, Zixuan Ye, Hao Lu, Zhiguo Cao, Xiangyu Yue

  AAAI Conference on Artificial Intelligence (AAAI), 2025

  PDF Code
  
• SAPA: Similarity-Aware Point Affiliation for Feature Upsampling

  Hao Lu, Wenze Liu, Zixuan Ye, Hongtao Fu, Yuliang Liu, Zhiguo Cao

  Neural Information Processing Systems (NeurIPS), 2022 (Spotlight)

  PDF Code
  
• Video Bokeh Rendering: Make Casual Videography Cinematic

  Yawen Luo, Min Shi, Liao Shen, Yachuan Huang, Zixuan Ye, Juewen Peng, Zhiguo Cao

  ACM International Conference on Multimedia (ACM MM), 2024 (Oral, Best Paper Candidate)

  PDF
  

Honors

• Hong Kong PhD Fellowship Scheme (HKPFS), Hong Kong SAR (2025)
• HKUST RedBird PhD Award (2025)
• China National Scholarship (2024)
• Shenzhen Stock Exchange Scholarships for Postgraduates (2023)