Welcome to Claude’s Personal Homepage!

Hi! I am currently in my third year of pursuing a master degree at Spatial Artificial Intelligence Lab (SAIL), Sun Yat-sen University (SYSU). My advisors are Yulan Guo and Longguang Wang. I received my B.S. degree from the School of Information and Software Engineering, University of Electronic Science and Technology of China (UESTC) in 2023.

My current research interests include low-level vision, specifically image/video restoration, as well as image/video style transfer. Besides, I have extensive experience in image/video generation and editing.

Education

2023.09 - 2026.06 (expected)
Spatial Artificial Intelligence Lab (SAIL), Sun Yat-sen University (SYSU)
Master of Science (M.S.)

2019.09 - 2023.06
University of Electronic Science and Technology of China (UESTC)
Bachelor of Science (B.S.)

News

• 2025.07: I was invited to be a reviewer of International Journal of Computer Vision (IJCV). I am happy to serve as a peer reviewer for conferences/journals. Feel free to contact me.

• 2025.02: One paper (SaMam) was accepted by CVPR 2025 (Highlight, top 3%).

• 2024.10: One paper (SaMST) was accepted by ACCV 2024.

• 2024.03: As a member of the organizing committee, I organized NTIRE 2024 Stereo Image Super-Resolution Challenge ([Track 1 Constrained SR & Bicubic Degradation] & [Track 2 Constrained SR & Realistic Degradation]). You can read our technical report here.

Selected Publications

SaMam: Style-aware State Space Model for Arbitrary Image Style Transfer
CVPR 2025 Highlight
Hongda Liu, Longguang Wang, Ye Zhang, Ziru Yu, Yulan Guo
[paper] [code]

Pluggable Style Representation Learning for Multi-Style Transfer
ACCV 2024
Hongda Liu, Longguang Wang, Weijun Guan, Ye Zhang, Yulan Guo
[paper] [code]

Preserving Full Degradation Details for Blind Image Super-Resolution
Arxiv 2024
Hongda Liu, Longguang Wang, Ye Zhang, Kaiwen Xue, Shunbo Zhou, Yulan Guo
[paper] [code]

Deploying Large AI Models on Resource-Limited Devices with Split Federated Learning
Arxiv 2024
Xianke Qiang, Hongda Liu, Xinran Zhang, Zheng Chang, Ying-Chang Liang
[paper]

Internship

• 2025.07 - 2025.09, Huawei Cloud, Long-term Memory Service Group (LMS), Chengdu
  • AI Development Engineer (Large Language Model, Vector Database)
• 2025.04 - 2025.07, Tencent, Platform and Content Group (PCG), Shenzhen
  • Computer Vision Algorithm Engineer (image/video generation and editing)
• 2024.08 - 2024.12, Huawei Cloud, Physical Intelligence Lab, Shenzhen
  • Computer Vision Algorithm Engineer (3D Scene Alignment and Reconstruction)

  • Advisor: Kaiwen Xue