Yuanhao Zhai

Yuanhao Zhai

PhD Student in Computer Vision

State University of New York at Buffalo

Biography

I am a final-year PhD student at the State University of New York at Buffalo, where I am advised by Prof. David Doermann and Prof. Junsong Yuan. Prior to this, I received my B.Eng in Computer Science from Xi’an Jiaotong University (XJTU) in 2020. During my undergraduate study at XJTU, I was fortunate to be advised by Ziyi Liu and Prof. Le Wang at the Institute of Artificial Intelligence and Robotics.

The best way to reach me is through my email: yuanhaozhai [AT] gmail [DOT] com. My Chinese name is 翟元浩 (pronunciation).

Here is my research proposal on learning human action.

🚨I am on the job market and looking for a US-based Research/Applied Scientist position starting from summer 2025. Feel free to contact me if you have any openings!

Interests
  • Video Understanding/Synthesis
  • Human Action Analysis/Synthesis
  • Multi-Modal Learning
  • Weakly-Supervised Learning
  • Media Forensics
Education
  • PhD in Computer Vision, 2021 - Present

    State University of New York at Buffalo, Buffalo, USA

  • B.Eng in Computer Science, 2016 - 2020

    Xi'an Jiaotong University, Xi'an, China

  • Exchange Student, 2019

    University of California, Berkeley, Berkeley, USA

News

Experience

 
 
 
 
 
Amazon
Applied Scientist Intern
May 2024 – Nov 2024 New York, NY, USA
Conducted research on text-to-outfit generation using large language models.
 
 
 
 
 
Microsoft
Research Intern
Feb 2024 – May 2024 Remote
Research focuses on video diffusion distillation. Mentors: Kevin Lin, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Chung-Ching Lin, and Lijuan Wang.
 
 
 
 
 
Institute for Artificial Intelligence and Data Science, University at Buffalo
Research Assistant
Aug 2021 – May 2024 Buffalo, NY, USA
Research focuses on image manipulation detection and Deepfakes detection. Mentors: Prof. David Doermann and Prof. Junsong Yuan.
 
 
 
 
 
Microsoft
Research Intern
May 2023 – Aug 2023 Remote
Research focuses on human-centric dual-modal diffusion models. Mentors: Kevin Lin, Linjie Li, Chung-Ching Lin, Jianfeng Wang, Zhengyuan Yang, Zicheng Liu, and Lijuan Wang.
 
 
 
 
 
Wormpex AI Research
Research Intern
May 2022 – Aug 2022 Bellevue, WA, USA
Research focuses on human action analysis and open-set recognition. Mentors: Ziyi Liu, Zhenyu Wu, Yi Wu, Chunluan Zhou and Gang Hua.
 
 
 
 
 
Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University
Research Intern
Feb 2018 – Jun 2021 Xi'an, Shaanxi, China
Research focuses on action recognition, temporal action localization and weakly-supervised learning. Mentors: Ziyi Liu and Prof. Le Wang.