I am a Ph.D. Candidate at the School of Computer Science, Fudan University, where I work at Vision and Learning Lab (FVL) under the supervision of Prof. Yu-Gang Jiang (IEEE Fellow) and Prof. Zuxuan Wu. Before this, I received my BS degree from Tianjin University.

My research interests lie broadly in computer vision and deep learning. I mainly focus on video generation, editing and recognition. I am also open and willing to explore other vision tasks, e.g., AIGC, 3D understanding. See details about me in CV.

I am set to graduate in 2025 and am actively exploring job opportunities in both industry and academia. If you are interested in discussing potential collaborations or positions, please feel free to email me at zhenxingfd@gmail.com.

News

• [Oct 2024] Achieved over 300+ citations on Google Scholar and an h-index of 10.
• [Sep’2024] Two papers are accepted by NeurIPS 2024.
• [Aug’2024] “A Survey on Video Diffusion Models” is accepted by ACM Computing Surveys.
• [Feb’2024] Invited talk at Openmmlab about Video Generation Models, [slides].
• [Feb’2024] SimDA is accepted by CVPR 2024.
• [Dec’2023] Serve as a reviewer for ICML 2024.
• [Dec’2023] Invited talk at Kunlun Research, “A Survey on Video Diffusion Models”.
• [Aug’2023] Awarded a certificate of “Star of Tomorrow” at MSRA.
• [May’2023] One paper is accepted by ACL 2023.
• [Feb’2023] Two papers are accepted by CVPR 2023.
• [July’2022] Three papers are accepted by ECCV 2022.
• [Mar’2022] Start my internship at MicroSoft Research Asia (MSRA).

Selected Publications:

• See the full publication list at Publications.

Video Generation	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] Surveying 100+ recent literatures on video generation and editing with diffusion models.

Video Generation	SimDA: A Simple Diffusion Adapter for Efficient Video Generation Zhen Xing, Qi Dai, Han Hu, Zuxuan Wu, Yu-Gang Jiang IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 [Paper][HomePage]

Video Generation	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]

Video Generation	AID: Adapting Image2Video Diffusion Models for Instruction-based Video Prediction Zhen Xing, Qi Dai, Zejia Weng, Zuxuan Wu, Yu-Gang Jiang Technique Report, 2024 [Paper][HomePage]

Video Editing	VIDiff: Translating Videos via Multi-Modal Instructions with Diffusion Models Zhen Xing, Qi Dai, Zihao Zhang, Hui Zhang, Han Hu, Zuxuan Wu, Yu-Gang Jiang IJCV (Under Review) [Paper][HomePage][Zhihu]

Video Recongnition	SVFormer: Semi-supervised Video Transformer for Action Recognition Zhen Xing, Qi Dai, Han Hu, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 [Paper][Code]

Panorama Understanding	PanoSwin: a Pano-style Swin Transformer for Panorama Understanding Zhixin Ling, Zhen Xing, Manliang Cao, Xiangdong Zhou IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 [Paper][Code]

3D Generation	Semi-supervised Single-view 3D Reconstruction via Prototype Shape Priors Zhen Xing, Hengduo Li, Zuxuan Wu, Yu-Gang Jiang European Conference on Computer Vision (ECCV), 2022 [Paper][Code]

3D Generation	Few-shot Single-view 3D Reconstruction with Memory Prior Contrastive Network Zhen Xing, Yijiang Chen, Zhixin Ling, Xiangdong Zhou, Yu Xiang European Conference on Computer Vision (ECCV), 2022 [Paper][Code]

Image Retrieval	Conditional Stroke Recovery for Fine-Grained Sketch-Based Image Retrieval Zhixin Ling, Zhen Xing,Jian Zhou, Xiangdong Zhou European Conference on Computer Vision (ECCV), 2022 [Paper][Code]