Pengtao Chen
Ph.D. Student
Embedded Deep Learning and Visual Analysis Lab
College of Future Information Technology, Fudan University (FDU)
Address: 2005 Songhu Rd, Yangpu, Shanghai, China, 200438
E-mail: Pengt.Chen@gmail.com
Biography
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I am currently a fourth-year Ph.D. student at the College of Future Information Technology,
Fudan University , Shanghai, China,
supervised by Prof. Tao Chen .
I received my B.S. degree from the School of Information Engineering,
Zhejiang University of Technology , Hangzhou, China, in 2022,
advised by Prof. Qi Xuan .
My research interests lie in Diffusion Model, Model Compression, and Efficient Model Design.
I am a research intern at the StepFun, working closely with
Gang Yu and
Xianfang Zeng .
Publications
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(# Equal Contribution; * Corresponding Author.)
2026
CCF-A
ReasonEdit: Towards Reasoning-Enhanced Image Editing Models.
Fukun Yin, Shiyu Liu, Yucheng Han, Zhibo Wang, Peng Xing, Rui Wang, Wei Cheng, Yingming Wang, Aojie Li, Zixin Yin, Pengtao Chen , Xiangyu Zhang, Daxin Jiang* , Xianfang Zeng* , Gang Yu*
Conference on Computer Vision and Pattern Recognition (CVPR ), 2026
CCF-A
RegionE: Adaptive Region-Aware Generation for Efficient Image Editing.
Pengtao Chen , Xianfang Zeng, Maosen Zhao, Mingzhu Shen, Peng Ye, Bangyin Xiang, Zhibo Wang, Wei Cheng, Gang Yu, Tao Chen*
International Conference on Learning Representations (ICLR ), 2026
CCF-A
Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers.
Pengtao Chen , Xianfang Zeng, Maosen Zhao, Peng Ye, Mingzhu Shen, Wei Cheng, Gang Yu, Tao Chen*
AAAI Conference on Artificial Intelligence (AAAI ), 2026
2025
TechReport
Step1X-Edit: A Practical Framework for General Image Editing.
Led the development of the Diffusers version of Step1X-Edit and optimized its inference efficiency.
Technical Report , 2025
CCF-A
DiTFastAttnV2: Head-wise Attention Compression for Multi-Modality Diffusion Transformers.
Hanling Zhang# , Rundong Su# , Zhihang Yuan, Pengtao Chen , Mingzhu Shen, Yibo Fan, Shengen Yan, Guohao Dai, Yu Wang*
International Conference on Computer Vision (ICCV ), 2025
CCF-A
Favor-bench: A Comprehensive Benchmark for Fine-Grained Video Motion Understanding.
Chongjun Tu# , Lin Zhang# , Pengtao Chen# , Peng Ye, Xianfang Zeng, Wei Cheng, Gang Yu, Tao Chen*
Conference on Neural Information Processing Systems (NeurIPS ), 2025
CCF-A
Pioneering 4-Bit FP Quantization for Diffusion Models: Mixup-Sign Quantization and Timestep-Aware Fine-Tuning.
Maosen Zhao# , Pengtao Chen# , Chong Yu, Yan Wen, Xudong Tan, Tao Chen*
Conference on Computer Vision and Pattern Recognition (CVPR ), 2025
CCF-A
TSGN: Transaction Subgraph Networks Assisting Phishing Detection in Ethereum.
Jinhuan Wang, Pengtao Chen , Xinyao Xu, Jiajing Wu, Meng Shen, Qi Xuan* , Xiaoniu Yang
IEEE Transactions on Dependable and Secure Computing (TDSC ), 2025
2024
CCF-A
Δ-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers.
Pengtao Chen# , Mingzhu Shen# , Peng Ye, Jianjian Cao, Chongjun Tu, Christos-Savvas Bouganis, Yiren Zhao, Tao Chen*
International Journal of Computer Vision (IJCV ), 2024
EI
MD-DiT: Step-aware Mixture-of-Depths for Efficient Diffusion Transformers.
Mingzhu Shen# , Pengtao Chen# , Peng Ye, Guoxuan Xia, Tao Chen, Christos-Savvas Bouganis, Yiren Zhao*
NeurIPS Workshop, 2024
2021
CAS-2
Sampling Subgraph Network with Application to Graph Classification.
Jinhuan Wang, Pengtao Chen , Bin Ma, Jiajun Zhou, Zhongyuan Ruan, Guanrong Chen, Qi Xuan*
IEEE Transactions on Network Science and Engineering (TNSE ), 2021
Book
Broad Learning Based on Subgraph Networks for Graph Classification.
Jinhuan Wang, Pengtao Chen , Yunyi Xie, Yalu Shan, Qi Xuan* , Guanrong Chen
Graph Data Mining Algorithm, Security and Application, 2021
CCF-C
TSGN: Transaction Subgraph Networks for Identifying Ethereum Phishing Accounts.
Jinhuan Wang, Pengtao Chen , Shanqing Yu, Qi Xuan*
International Conference on Blockchain and Trustworthy Systems (BlockSys ), 2021
Internship
StepFun (阶跃星辰) , Shanghai, P.R. China
Foundation Model Algorithm Intern (AIGC), from Oct. 2024 to Mar. 2026
Advisor: Gang Yu and Xianfang Zeng .
Focused on instruction-based image editing, video generation and efficient model inference.
Education
College of Future Information Technology, Fudan University , Shanghai, P.R. China
Ph.D., from Sep. 2022 to June 2027 (expected)
Majored in Electronic Science and Technology. Rank: 4/25; GPA: 3.6/4.0.
Jianxing Honors College, Zhejiang University of Technology , Hangzhou, P.R. China
B.Eng., from Sep. 2018 to June 2022
Majored in Automation. Rank: 1/134 (less than 1%); GPA: 4.2/5.0.
Selected Honors & Awards
Nov. 2024 — Fudan University Outstanding Ph.D. Candidate First-Class Scholarship .
Oct. 2023 — Huawei Ascend AI Innovation Competition (ShengSi Algorithm Innovation Track), Gold Award .
Oct. 2023 — The 1st World Science Intelligence Competition (Atmospheric Science Track), Rank: 9/2071 .
Feb. 2023 — PCIC 2022 Causal Inference and Recommendation, Rank: 4/161 .
May 2022 — Outstanding Graduate of Zhejiang Province.
Dec. 2021 — Zhejiang Provincial Government Scholarship.
Dec. 2020 — National Scholarship (The ONLY student in School of Information Engineering) .
Oct. 2020 — The 12th National College Student Mathematics Competition, Second Prize .
Jul 2019 & Sep 2020 — Zhejiang Provincial University Student Mathematics Competition, First Prize × 2 .
Oct. 2019 — The 11th National College Student Mathematics Competition, First Prize .
Oct. 2017 — National High School Mathematics League and Chinese Mathematical Olympiad, First Prize (Zhejiang Province).
Academic Service
Conference Reviewer: NeurIPS (2024, 2025), ICLR (2025, 2026), ICML (2025, 2026), CVPR (2025, 2026), ICCV (2025), AAAI (2026), AISTATS (2024).
Journal Reviewer: IJCV, TCSVT.
Collaborators and Friends
Last updated on March 16, 2026.