Hangjian Zhang

I am currently a ML Scientist at CARIAD. My research interests lie in computer vision and multimodal learning, especially large multimodal models and efficient model design on Transformers. Also, I am focusing on the research of embodied robotic system (VLA).

From 2023, I am a part-time Master student of Engineering Management (MEM) in Tsinghua University advised of Prof. Gao Huang. Prior to join CARIAD, I received my M.Sc. in electrical engineering from Technische Universität Braunschweig in Germany in 2018, advised by Prof. Marcus Magnor. I received my B.Eng. in Information Security from Xidian University in China in 2014. During summer 2018, I did internship at Intel Labs China as a research intern, advised by Dr. Yimin Zhang and Dr. Haibing Ren .

Email  /  CV  /  Google Scholar  /  Github  /  Linkedin

profile photo
News
  • [06/2024] I am a ML Scientist at CARIAD as team lead.
  • [09/2023] I started my novel life in Tsinghua University as a part-time Master student.
  • [04/2021] I transfered to CARIAD inside Volkswagen Group.
  • [01/2019] I started my algorithm engineer in Volkswagen Group China.
  • [10/2018] My master thesis was published on VWV 2018.
  • [09/2018] I obtained my Master's degree from TU Braunschweig.
  • [06/2018] We obtained the 4th-place award of Davis Challenge 2018 on video object segmentation of CVPR Workshop 2018.
  • [04/2018] I started my internship as research intern at Intel Labs China.
Publications
    * indicates equal contributions.

Adaptive video object segmentation with online data generation
Ping Guo*, Lidan Zhang*, Hangjian Zhang, Xiang Liu, Haibing Ren, Yimin Zhang
CVPR Workshop, 2018

Automatic Infant Face Verification via Convolutional Neural Network
Hangjian Zhang*, Leslie Wöhler*, Georgia Albuquerque, Marcus Magnor
VMV, 2018


Using the template of Jon Barron