Hang Zhou

Hang Zhou 

Ph.D
Department of Electornic Engineering / Multimedia Lab (MMLab),
The Chinese University of Hong Kong (CUHK)
hangzcuhk@gmail.com
zhouhang@link.cuhk.edu.hk

Github   CV   Scholar

About me

I am currently a senior researcher at Department of Computer Vision Technology (VIS), Baidu Inc. I obtained my Ph.D. degree from Multimedia Lab (MMLab), The Chinese University of Hong Kong in 2021, supervised by Prof. Xiaogang Wang and Prof. Ziwei Liu. I received my bachelor's degree in Acoustics from the School of Physics at Nanjing University (NJU) in 2017. My research interests include deep learning and its applications on audio-visual learning and face generation for virtual humans. Please drop me an email if you are interested in internship or full-time opportunities.

News

  • [2022-12] One paper accepted to AAAI 2023.

  • [2022-09] Three papers accepted, one to SIGGRAPH Asia 2022 and two to NeurIPS 2022.

  • [2022-07] Four papers accepted to ECCV 2022.

  • [2022-05] One paper accepted to SIGGRAPH 2022.

  • [2022-03] Three papers accepted to CVPR 2022.

  • [2021-12] Two papers accepted to AAAI 2022.

  • [2021-04] One paper accepted to IJCAI 2021.

  • [2021-03] Three papers accepted to CVPR 2021!

  • [2021-01] One paper accepted to CHI 2021.

  • [2020-10] I am among the Top 10% High Score Reviewers of NeurIPS 2020.

  • [2020-07] Two papers accepted to ECCV 2020.

  • [2020-06] I am awarded Outstanding Reviewer of CVPR 2020.

  • [2020-02] One paper accepted to CVPR 2020.

  • [2019-07] Two papers accepted to ICCV 2019.

  • [2018-11] One paper accepted to AAAI 2019 as Oral.

Publications

Working Experience

Professional Activities

  • Organizer of ECCV 2020 SenseHuman Workshop
  • Journal Reviewer of IJCV, Transactions on Audio Speech and Language Processing, Neurocomputing, TPAMI, etc.
  • Conference Reviewer of ICCV, CVPR, ECCV, ICML, AAAI, NeurIPS, ICLR, Siggraph, etc.

Collaborators

Teaching Experience

Teaching Assistant of the following courses in The Chinese University of Hong Kong:

  • ELEG5491, Introduction to Deep Learning , Spring 2019.

  • ELEG5760, Machine Learning for Signal Processing Applications, Fall 2018.

  • ENGG2420B, Complex Analysis and Differential Equations for Engineers, Fall 2018.

  • ENGG1110, Problem Solving By Programming, Spring 2018.

  • ENGG2420B, Complex Analysis and Differential Equations for Engineers, Fall 2017.