I am a final-year Ph.D. Candidate at the School of Computer Science, Fudan University, where I work in the Vision and Learning Lab (FVL) under the supervision of Prof. Yu-Gang Jiang (IEEE Fellow) and Prof. Zuxuan Wu. Before this, I received my B.S. degree from Tianjin University.
I have published 15+ papers 
- 1️⃣ 🌟🌟🌟 Generative models: text-to-video generation, controllable visual generation, video editing
- 2️⃣ Representation learning: video understanding, 3D understanding, image retrieval
I will join Alibaba Tongyi Lab as a Research Scientist, dedicating myself to research on the video-generation model 
.
If you are interested in discussing potential collaborations, please feel free to email me at zhenxingfd@gmail.com.
🔥 News
- [May’2025] Defended Ph.D. thesis and awarded Outstanding Graduates of Shanghai!
- [May’2025] Achieved 550+ citations on Google Scholar and an h-index of 12.
- [Apr’2025] Released MagicMotion and achieved 100+ Github stars.
- [Feb’2025] StableAnimator accepted to CVPR 2025 and achieved 1200+ Github stars.
- [Sep’2024] Two papers accepted to NeurIPS 2024.
- [Aug’2024] “A Survey on Video Diffusion Models” accepted to ACM Computing Surveys.
- [Feb’2024] Invited talk at Openmmlab about Video Generation Models, [slides].
- [Feb’2024] SimDA accepted to CVPR 2024.
- [Dec’2023] Served as a reviewer for ICML 2024.
- [Dec’2023] Invited talk at Kunlun Research, “A Survey on Video Diffusion Models”.
- [Aug’2023] Awarded certificate of “Star of Tomorrow” at MSRA.
- [May’2023] One paper accepted to ACL 2023.
- [Feb’2023] Two papers accepted to CVPR 2023.
- [July’2022] Three papers accepted to ECCV 2022.
📝 Publications
A full publication list is available on [Google Scholar] [Semantic Scholar]
(*: equal contribution; †: project leader.)
A Survey on Video Diffusion Models
Zhen Xing , Qijun Feng, Haoran Chen, Qi Dai, Han Hu, Hang Xu, Zuxuan Wu, Yu-Gang Jiang
ACM Computing Survey (CSUR, IF=23.8), 2024
[Paper][HomePage][Zhihu][机器之心][量子位]
Surveying 300+ recent literatures on video generation and editing with diffusion models. Acheving Github 2000+ stars.
GenRec: Unifying Video Generation and Recognition with Diffusion Models
Zejia Weng, Xitong Yang, Zhen Xing, Zuxuan Wu, Yu-Gang Jiang
Annual Conference on Neural Information Processing Systems (NeurIPS), 2024
[Paper]
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AdaDiff: Adaptive Step Selection for Fast Diffusion
Hui Zhang, Zuxuan Wu, Zhen Xing, Jie Shao, Yu-Gang Jiang
AAAI, 2025, [Paper] -
Advancing Dark Action Recognition via Modality Fusion and Dark-to-Light Diffusion Model
Yuxuan Wang, Zhen Xing, Zuxuan Wu
ICASSP, 2025, [Paper] -
Human2Robot: Learning Robot Actions from Paired Human-Robot Videos
Sicheng Xie, Haidong Cao, Zejia Weng, Zhen Xing, Shiwei Shen, Jiaqi Leng, Xipeng Qiu, Yanwei Fu, Zuxuan Wu, Yu-Gang Jiang
Arxiv, 2025, [Paper] -
Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms
Miaosen Zhang, Yixuan Wei, Zhen Xing, Yifei Ma, Zuxuan Wu, Ji Li, Zheng Zhang, Qi Dai, Chong Luo, Xin Geng, Baining Guo
NeurIPS, 2024, [Paper], [HomePage] -
FDGaussian: Fast Gaussian Splatting via Geometric-aware Diffusion Model
Qijun Feng, Zhen Xing, Zuxuan Wu, Yu-Gang Jiang
Arxiv, 2024, [Paper], [HomePage] -
TranSFormer: Slow-Fast Transformer for Machine Translation
Bei Li, Yi Jing, Xu Tan, Zhen Xing, Tong Xiao, Jingbo Zhu
ACL (Findings), 2023, [Paper] -
Multi-Level Region Matching for Fine-Grained Sketch-Based Image Retrieval
Zhixin Ling, Zhen Xing, Jiangtong Li, Li Niu
ACM MM, 2022, [Paper] -
3D-Augmented Contrastive Knowledge Distillation for Image-based Object Pose Estimation
Zhidan Liu, Zhen Xing, Xiangdong Zhou, Yijiang Chen, Guichun Zhou
ICMR, 2022, [Paper] -
CaSS: A Channel-aware Self-supervised Representation Learning Framework for Multivariate Time Series Classification
Yijiang Chen, Xiangdong Zhou, Zhen Xing, Zhidan Liu, Minyang Xu
DASFFA, 2022, [Paper] -
From Coarse to Fine: Hierarchical Structure-aware Video Summarization
Wenxu Li, Gang Pan, Chen Wang, Zhen Xing, Zhenjun Han
TOMM, 2022, [Paper]
🎖 Honors and Awards
Below, I exhasutively list some of my Honors and Awards that inspire me a lot.
- Outstanding graduates of Shanghai. (Top-1%, PhD) [2025]
- Alibaba Star Program and Tencent Qingyun Plan. [2025]
- Tencent academic scholarship. (Top-3%, PhD) [2024]
- Fudan University excellent academic scholarship. (Top-5%, PhD) [2023]
- “Star of Tomorrow” intern of MicroSoft Research Asia. (Top 10%, PhD)[2023]
- Tencent academic scholarship. (Rank 1/130, PhD) [2022]
- Fudan University excellent academic scholarship. (Top-5%, Master) [2021]
- Outstanding graduates of TianJin University. (Top-5%) [2020]
- Excellent monitor of Tianjin University. (Top-10) [2018]
- Academic scholarship of Tianjin University. (Top-10%) [2017-2020]
💬 Invited Talks
- 2024.04, Talk at ByteDance, SimDA: Simple Diffusion Adapter for Efficient Video Generation [slides]
- 2024.02, Tutorial at Openmmlab, The Past and Present of Video Diffusion Models [slides]
- 2023.12, Tutorial at Kunlun Research, The Tutorial of Video Generative Models [slides]
💻 Internships
- 2022.03 - 2023.08, MicroSoft Research Asia, Visual Computing Group.
🎓 Academic Service
- Conference Program Committee:
- IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022-2025
- IEEE/CVF International Conference on Computer Vision (ICCV) 2023-2025
- European Conference on Computer Vision (ECCV) 2022-2024
- International Conference on Learning Representations (ICLR) 2024-2025
- ACM SIGGRAPH Conference (SIGGRAPH) 2025
- International Conference on Machine Learning (ICML) 2024-2025
- Conference on Neural Information Processing Systems (NeurIPS) 2024-2025
- AAAI Conference on Artificial Intelligence (AAAI) 2023-2025
- Journal Reviewer:
- IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
- International Journal of Computer Vision (IJCV)
- IEEE Transactions on Multimedia (TMM)
- IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
- Knowledge-Based Systems (KBS)
- Pattern Recognition (PR)