Haipeng Fang 房海鹏

I am a 2rd-year PhD candidate under the supervision of Prof. Sheng Tang and A/Prof. Fan Tang at Institute of Computing Technology, Chinese Academy of Sciences (ICT, CAS). My research interests include:

  • Model Compression and Acceleration; Deployment Optimization
  • Image and Video Generation; AIGC Technologies
  • Image Understanding: Classification, Detection and Segmentation

Contact: fanghaipeng21s AT ict dot ac dot cn

GitHub    /    Google Scholar    /    ORCID       

✍   Hightlights

- Github Repo (Maintaining): Awesome-Diffusion-Acceleration

- I am currently seeking opportunities for visiting research or postdoctoral positions. I am always available and would be truly grateful if you could offer me a valuable opportunity.

News
02/2025 One first-authored paper got accepted by CVPR 2025.
12/2024 One first-authored paper got accepted by ICASSP 2025.
07/2024 One co-authored papers got accepted by ACMMM 2024.
Full List
Publications
Preprint
Dance your latents: Consistent dance generation through spatial-temporal subspace attention guided by motion flow
Haipeng Fang, Zhihao Sun, Fan Tang, Ziyao Huang, Juan Cao, and Sheng Tang
arXiv:2310.14780
2025
[CVPR 2025] Attend to Not Attended: Structure-then-Detail Token Merging for Post-training DiT Acceleration
Haipeng Fang, Sheng Tang Juan Cao, Enshuo Zhang, Fan Tang, and Tong-Yee Lee
Proceedings of the 42nd IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025)
GitHub Repo
TL;DR: We analyze the diffusion prior in DiT, identify the locations and degrees of redundancy in DiT, and design a “structure-then-detail” token merging method for post-training diffusion transformer acceleration.
[ICASSP 2025] FR2ViT: Finetuning-free Token Reduction for Dense Prediction Through a Refinement-Reactivation Architecture
Haipeng Fang, Ziheng Wu, Xinyi Zou, Jun Huang, Juan Cao, and Sheng Tang
Proceedings of the 50th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2025)
Paper
TL;DR: We analyze the conflict between token reduction and dense prediction tasks, and design a Refinement-Reactivation Architecture for dense prediction.
2024
[ACMMM 2024] Rethinking Image Editing Detection in the Era of Generative AI Revolution
Zhihao Sun, Haipeng Fang, Juan Cao, Xinying Zhao, and Danding Wang
Proceedings of the 32nd ACM International Conference on Multimedia (ACMMM 2024)
Paper
TL;DR: We propose the GRE dataset to advance detection of generative regional editing, featuring diverse methods, a multi-modal pipeline, and comprehensive benchmarks to fill gaps in existing research.
Academic Services
Conf. Reviewer/PC Member CVPR 2025
Education
2021-now Ph. D Candidate in Computer Applied Technology
University of Chinese Academy of Sciences (Cultivation Unit: Institute of Computing Technology, CAS)
2017-2021 B. Eng in Software Engineering (Ranked 1/88)
School of Computer Science and Cyberspace Security, Xiangtan University
2014-2017 Zibo No.4 High School
Competitions
2021 3rd/1107 in Amap POI, CCF Big Data and Intelligent Computing Competition
2020 First Prize, National University Green Computing Competition
2020 Honorable Mention, Mathematical Contest in Modeling (MCM)
2019 First Prize, High Education Club Cup National Undergraduate Mathematical Modeling Contest
2019 First Prize, Hunan Collegiate Programming Contest
Honors and Awards
2022, 2023 First-Class Academic Scholarship, University of Chinese Academy of Sciences
2022, 2023, 2024 Merit Student, University of Chinese Academy of Sciences
2021 Outstanding Graduate, Hunan Municipal Commission of Education
2020 National Inspirational Scholarship, Ministry of Education of China
2018 National Scholarship, Ministry of Education of China