Xihui Liu

Xihui Liu 

Assistant Professor,
Department of Electrical and Electronic Engineering (EEE) / Institute of Data Science (IDS)
The University of Hong Kong
xihui.liu.me@gmail.com
xihuiliu@eee.hku.hk

Google Scholar   CV

About me

I am an Assistant Professor at the Department of Electrical and Electronic Engineering (EEE) and Institute of Data Science (IDS), The University of Hong Kong. Before joining HKU, I was a postdoc Scholar at EECS Department and BAIR at UC Berkeley, advised by Prof. Trevor Darrell. I obtained my Ph.D. degree from Multimedia Lab (MMLab), the Chinese University of Hong Kong, supervised by Prof. Xiaogang Wang and Prof. Hongsheng Li. I received bachelor's degree in Electronic Engineering in Tsinghua University (THU) in 2017. My research interests cover computer vision, machine learning, and artificial intelligence, with special emphasis on multimodal AI, vision and language, open-world recognition, visual synthesis, and generative models. I was awarded Adobe Research Fellowship 2020, MIT EECS Rising Stars 2021, WAIC Rising Stars Award 2022, CVPR 2021 Doctoral Consortium Award, CVPR Outstanding Reviewer, and ICLR Outstanding Reviewer.

I am looking for self-motivated Ph.D. students to join my group in Spring 2023 or Fall 2023. Please drop me an email if you are interested.

Employment and Education

  • Assistant Professor, Department of Electrical and Electronic Engineering / Institute of Data Science, The University of Hong Kong. (July 2022 to now)

  • Postdoc Scholar at Darrell Group / BAIR / EECS Department, UC Berkeley. (August 2021 to July 2022)
    Advised by Prof Trevor Darrell.

  • Ph.D, Department of Electronic Engineering / Multimedia Lab (MMLab), The Chinese University of Hong Kong. (August 2017 to July 2021)
    Advised by Prof. Xiaogang Wang and Prof. Hongsheng Li.

  • Bachelor, Department of Electronic Engineering, Tsinghua University. (August 2013 to July 2017)

Awards

  • 2022 WAIC Rising Stars.

  • 2021 MIT EECS Rising Stars.

  • 2019 Adobe Research Fellowship.

  • CVPR 2021 Doctoral Consortium, mentored by Prof. Antonio Torralba.

  • ICLR 2021 outstanding reviewer award.

  • CVPR 2019 outstanding reviewer award.

  • 2017 Tsinghua Outstanding Graduate.

  • Champion of ImageNet 2016 Video Object Detection Challenge (as a member of CUVideo team).

Publications

Academic Services

Reviewer of the following conferences and journals:

  • Outstanding Reviewer for CVPR 2019 and ICLR 2021.

  • CVPR, ICCV, ECCV, NeruIPS, ICML, ICLR, AAAI.

  • IJCV, TCSVT, NeuroComputing, TMM.

Research Internships

Teaching Experience

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

  • ELEG 5491, Introduction to Deep Learning [Course website], Spring 2019.

  • ENGG 5202, Pattern Recognition, Fall 2017, Spring 2020.

  • ELEG 5760, Machine Learning for Signal Processing Applications, Fall 2018.

  • ENGG 2450A, Probability and Statistics for Engineers, Spring 2018, Fall 2020.

  • Summer Tutorial, Potential Inspiration in Electronic Engineering, Summer 2018.

  • ENGG 2420B, Complex Analyis and Differential Equations for Engineers, Fall 2019.

  • ENGG 2740A, Differential Equations for Engineers, Spring 2021.