Min Zhao (赵敏)

I am a postdoctoral researcher at Tsinghua University, working under the supervision of Prof. Jun Zhu. I have collaborated closely with Prof. Chongxuan Li and Dr. Fan Bao. I received my Ph.D. degree from Chinese Academy of Sciences Institute of Automation, advised by Prof. Jing Sui and Prof. Shan Yu. Before that, I received my B.S. degree from Beijing Institute of Technology in 2019.

My research interests include AIGC, with a particular focus on image, video, and 3D generation using diffusion models. Feel free to connect with me for research collaborations or discussions related to the above topics.

Email  /  Google Scholar  /  GitHub  / 

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Selected Publications
RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers

Min Zhao, Guande He, Yixiao Chen, Hongzhou Zhu, Chongxuan Li, Jun Zhu

Arixv
Paper /  Website /  Code / 

Identifying and Solving Conditional Image Leakage in Image to-Video Generation

Min Zhao*, Hongzhou Zhu*, Chendong Xiang, Kaiwen Zheng, Chongxuan Li, Jun Zhu

NeurIPs 2024
Paper /  Website /  Code / 

PoseCrafter: One-Shot Personalized Video Synthesis Following Flexible Poses

Yong Zhong*, Min Zhao*, Zebin You, Xiaofeng Yu, Changwang Zhang, Chongxuan Li

ECCV 2024
Paper /  Website

Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models

Fan Bao, Chendong Xiang*, Gang Yue*, Guande He*, Hongzhou Zhu*, Kaiwen Zheng*, Min Zhao*, Shilong Liu*, Yaole Wang*, Jun Zhu

Arixv
Paper /  Website

Controlvideo: Adding conditional control for one shot text-to-video editing

Min Zhao, Rongzhen Wang, Fan Bao, Chongxuan Li, Jun Zhu

Science China Information Sciences 2024
Paper /  Code /  Website /  Zhihu / 
Equivariant Energy-Guided SDE for Inverse Molecular Design

Fan Bao*, Min Zhao*, Zhongkai Hao, Peiyao Li, Chongxuan Li, Jun Zhu

ICLR 2023
Paper /  Code /  Poster /  Slides / 
EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations

Min Zhao, Fan Bao, Chongxuan Li, Jun Zhu

NeurIPs 2022
Paper /  Code /  Talk /  Poster /  Slides / 
An attention-based hybrid deep learning framework integrating brain connectivity and activity of resting-state functional MRI data

Min Zhao, Weizheng Yan, Na Luo, Dongmei Zhi, Zening Fu, Yuhui Du, Shan Yu, Tianzi Jiang, Vince D. Calhoun, Jing Sui

Medical Image Analysis
Paper / 
Mapping relationships among schizophrenia, bipolar and schizoaffective disorders: A deep classification and clustering framework using fMRI time series

Weizheng Yan*, Min Zhao*, Godfrey D. Pearlson, Jing Sui, Vince D. Calhoun

Schizophrenia Research
Paper / 
An attention-based hybrid deep learning framework integrating temporal coherence and dynamics for discriminating schizophrenia

Min Zhao, Weizheng Yan, Rongtao Xu, Dongmei Zhi, Rongtao Jiang, Tianzi Jiang, Vince D. Calhoun, Jing Sui

IEEE ISBI 2021, Best student paper nomination
Paper / 
Services

Reviewers for conferences: NeurIPs, ICLR , AAAI, ACM MM

Reviewers for journals: TPAMI

Selected Awards

Shuimu Tsinghua Scholarship

China Postdoctoral Science Foundation General Program

IEEE ISBI Best Student Paper Nomination



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