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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:
Contact: fanghaipeng21s AT ict dot ac dot cn |
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✍ Hightlights - 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. |
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| 06/2025 | I give a talk on Diffusion Acceleration at the AI Time rehearsal session. |
| 05/2025 | I give a talk on Model Compression and Acceleration at the AI Future Forum on Foundation Models and Frontier Technologies. |
| 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 |
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Haipeng Fang, Fan Tang, Zhihao Sun, Ziyao Huang, Juan Cao, Sheng Tang, and Yongdong Zhang IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) TL;DR: We address unguided initialization and inefficient interactions in consistency modeling with MoAnimate, a dual-stream motion framework that improves entity consistency across benchmarks and generalization scenarios. |
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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) Preprint / Paper / 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. |
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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. |
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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. |
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| Conf. Reviewer/PC Member |
CVPR 2025, BMVC 2025
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| 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 |
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| 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 |
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| 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 |