I am a fourth-year Ph.D. student in the Department of Computer Science at Rutgers University, supervised by Distinguished Professor Dimitris N. Metaxas. Before this, I was a Machine Learning Engineer at Kuaishou Technology(Kwai Inc.). I received my B.Eng. degree from Tsinghua University in 2019.

Education

 
 
 
 
 
Rutgers, The State University of New Jersey - New Brunswick
Ph.D. Student in Computer Science
Sep 2021 – Present Piscataway, NJ, USA
 
 
 
 
 
Tsinghua University
B.Eng. in Materials Science and Engineering
Aug 2015 – Jul 2019 Beijing, China
 
 
 
 
 
Tsinghua University
Minor in Computer Application
Aug 2016 – Jul 2019 Beijing, China

Experience

 
 
 
 
 
Creative Vision, Snap Inc.
Research Intern
Feb 2024 – Present Santa Monica, CA, USA
 
 
 
 
 
Gen AI, Meta
Research Scientist Intern
May 2023 – Jan 2024 Menlo Park, CA, USA
 
 
 
 
 
Media Analytics, NEC Laboratories America, Inc.
Research Intern
May 2022 – Aug 2022 San Jose, CA, USA
  • Works with Samuel Schulter.
  • Self-supervised Pre-training with Automotive Image-LiDAR Data.
 
 
 
 
 
Kuaishou Technology
Machine Learning Engineer
Jul 2019 – Aug 2021 Beijing, China
  • Efficient Generative Adversarial Networks.
 
 
 
 
 
Kuaishou Technology
Machine Learning Engineer Intern
Nov 2018 – Jul 2019 Beijing, China
  • Efficient Image Harmonization.

Publications

SF-V: Single Forward Video Generation Model. In NeurIPS, 2024.
AVID: Any-Length Video Inpainting with Diffusion Model. In CVPR, 2024.
OmniLabel: A Challenging Benchmark for Language-Based Object Detection. In ICCV, 2023.
SINE: Single Image Editing with Text-to-Image Diffusion Models. In CVPR, 2023.
Exploiting Unlabeled Data with Vision and Language Models for Object Detection. In ECCV, 2022.
Global Matching with Overlapping Attention for Optical Flow Estimation. In CVPR, 2022.

Contact

  • zhixing [dot] zhang [at] rutgers [dot] edu
  • 617 Bowser Rd, Piscataway, NJ 08854