Portrait of Zixuan Ye

Zixuan Ye

Ph.D. Student in Artificial Intelligence · HKUST
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01

About

Portrait of Zixuan Ye

Hi👋! I'm Zixuan Ye (叶紫璇), a second-year Ph.D. student at the Hong Kong University of Science and Technology, affiliated with the C4 Group, co-supervised by Wenhan Luo and Hongbo Fu. 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🙋!

02

Experience

Feb 2025 — Jun 2026
Kuaishou Technology · Kling Team — Advisors: Dr. Quande Liu & Dr. Xintao Wang
Controllable video generation: video editing.
Jul 2024 — Feb 2025
Kuaishou Technology · Kling Team — Advisors: Dr. Huijuan Huang & Dr. Xintao Wang
Controllable video generation: video stylization.
03

Education

Ph.D.
Hong Kong University of Science and Technology
Sep 2025 — Present
Co-supervised by Prof. Wenhan Luo and Prof. Hongbo Fu
M.Eng.
Huazhong University of Science and Technology
Sep 2022 — Jun 2025
Intelligent Science and Technology
Supervisors: Zhiguo Cao & Hao Lu
B.Eng. in Automation
Huazhong University of Science and Technology
Sep 2018 — Jul 2022
Qiming Excellence Class (Top 5%)
GPA 3.92/4.0 · Rank 3/29
04

Publications

Selected work in generative video, visual understanding, and image matting.

UNIC teaser
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
ICLR 2026[Project]
StyleMaster teaser
StyleMaster: Stylize Your Video with Artistic Generation and Translation
Zixuan Ye, Huijuan Huang, Xintao Wang, Pengfei Wan, Di Zhang, Wenhan Luo
CVPR 2025[Project][Code]
Visual-Aware CoT teaser
Visual-Aware CoT: Achieving High-Fidelity Visual Consistency in Unified Models
Zixuan Ye, Quande Liu, Cong Wei, Yuanxing Zhang, Xintao Wang, Pengfei Wan, Kun Gai, Wenhan Luo
CVPR 2026[Project]
Unifying Automatic and Interactive Matting teaser
Unifying Automatic and Interactive Matting with Pretrained ViTs
Zixuan Ye, Wenze Liu, He Guo, Yujia Liang, Chaoyi Hong, Hao Lu, Zhiguo Cao
CVPR 2024[Code]
SCAPE teaser
SCAPE: A Simple and Strong Category-Agnostic Pose Estimator
Yujia Liang*, Zixuan Ye*, Wenze Liu, Hao Lu
ECCV 2024[Code]
Infusing Definiteness into Randomness teaser
Infusing Definiteness into Randomness: Rethinking Composition Styles for Deep Image Matting
Zixuan Ye*, Yutong Dai*, Chaoyi Hong, Zhiguo Cao, Hao Lu
AAAI 2023[Code]
UniVideo teaser
UniVideo: Unified Understanding, Generation, and Editing for Videos
Cong Wei, Quande Liu, Zixuan Ye, Qiulin Wang, Xintao Wang, Pengfei Wan, Kun Gai, Wenhu Chen
ICLR 2026[Project][Code]
IPFormer-VideoLLM teaser
IPFormer-VideoLLM: Enhancing Multi-modal Video Understanding for Multi-shot Scenes
Yujia Liang, Jile Jiao, Xuetao Feng, Zixuan Ye, Yuan Wang, Zhicheng Wang
AAAI 2026
Training Matting Models without Alpha Labels teaser
Training Matting Models without Alpha Labels
Wenze Liu, Zixuan Ye, Hao Lu, Zhiguo Cao, Xiangyu Yue
AAAI 2025[Code]
Video Bokeh Rendering teaser
Video Bokeh Rendering: Make Casual Videography Cinematic
Yawen Luo, Min Shi, Liao Shen, Yachuan Huang, Zixuan Ye, Juewen Peng, Zhiguo Cao
ACM MM 2024Oral · Best Paper Candidate
In-Context Matting teaser
In-Context Matting
He Guo, Zixuan Ye, Zhiguo Cao, Hao Lu
CVPR 2024Highlight[Code]
SAPA teaser
SAPA: Similarity-Aware Point Affiliation for Feature Upsampling
Hao Lu, Wenze Liu, Zixuan Ye, Hongtao Fu, Yuliang Liu, Zhiguo Cao
NeurIPS 2022Spotlight[Code]
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Honors & Awards