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I will receive my Ph.D. from the University of Chinese Academy of Sciences in Fall 2026 and join the Institute of Computing Technology, Chinese Academy of Sciences (ICT, CAS) as an Assistant Researcher, focusing on digital content synthesis and forgery detection. My doctoral research was supervised by Prof. Sheng Tang and A/Prof. Fan Tang. I am open to research collaborations in:
Contact: fanghaipeng21s AT ict dot ac dot cn |
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✍ Highlights - We are recruiting master's and Ph.D. students! If you are interested in joining our team or collaborating on model efficiency, forgery detection, or AI safety, please feel free to contact me. |
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| 03/2026 | One first-authored paper got accepted by CVPR 2026. |
| 12/2025 | I received the Lenovo PhD Scholarship. |
| 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. | Full List |
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Haipeng Fang, Yixing Lu, Yu Li, Qiang Sheng, Juan Cao, and Sheng Tang In Process TL;DR: We improve AIGI detection generalization through subtractions by progressively pruning tokens and exiting blocks early, guided by an early pressure loss to reduce shortcut learning. This yields a 2.3x speedup and a 6.3% generalization gain. |
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Haipeng Fang, Yu Li, Fan Tang, Yixing Lu, Juan Cao, and Sheng Tang Proceedings of the 43rd IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026) TL;DR: We observe that many tokens follow similar denoising trajectories. We introduce a “proxy denoising” method that denoises 16 proxy tokens and uses their denoising trajectories to simulate 4096 tokens, achieving up to 5.5x speedup with lossless quality. |
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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) Paper 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, ICASSP, Neural Networks, BMVC
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| Fall 2026- |
Incoming Assistant Researcher - Institute of Computing Technology, Chinese Academy of Sciences
Digital Content Synthesis and Forgery Detection |
| 2022.2-2023.3 |
Research Intern - PAI, Alibaba Cloud
Provided smart cabinet services for AUCMA, Haier, Dahuang'e, and EasyTouch Contributed to PAI-EasyCV development and testing |
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| 2021-2026 |
Ph.D. in Computer Applied Technology (expected Fall 2026)
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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| 2026 | Lenovo PhD Scholarship |
| 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 |