Xian Liu

Ph.D. Student
Department of Information Engineering
The Chinese University of Hong Kong

E-mail  /  CV  /  Github


Xian Liu is a first-year Ph.D. student at Multimedia Laboratory (MMLab), Department of Information Engineering in The Chinese University of Hong Kong. He is supervised by Prof. Dahua Lin and Prof. Ziwei Liu. He also worked closely with Prof. Bolei Zhou. His research interests include generative modeling, cross-modal learning and digitial human modeling.

Before that, he received the Bachelor's degree at Zhejiang University in 2021, advised by Prof. Xiaowei Zhou.

I am always open to discussions and collaborations, feel free to drop me an email if you are interested in :)


  • [09/2022] One paper is accepted to NeurIPS 2022, with ANGIE accepted as Spotlight presentation!
  • [07/2022] Three papers are accepted to ECCV 2022, with SSP-NeRF accepted as Oral presentation!
  • [03/2022] One paper is accepted to CVPR 2022.
  • [12/2021] One paper is accepted to AAAI 2022.

Selected Publications [ Full List ]

Audio-Driven Co-Speech Gesture Video Generation
Advances in Neural Information Processing Systems (NeurIPS), 2022. (Spotlight Presentation)
Semantic-Aware Implicit Neural Audio-Driven Video Portrait Generation
European Conference on Computer Vision (ECCV), 2022. (Oral Presentation, Top 2.7%)
Object-Compositional Neural Implicit Surfaces
European Conference on Computer Vision (ECCV), 2022.
Static and Dynamic Concepts for Self-supervised Video Representation Learning
Rui Qian, Shuangrui Ding, Xian Liu, Dahua Lin.
European Conference on Computer Vision (ECCV), 2022.
Learning Hierarchical Cross-Modal Association for Co-Speech Gesture Generation
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Also appears at CVPR 2022 Sight and Sound Workshop. [5-min Invited Talk] (link)
Visual Sound Localization in the Wild by Cross-Modal Interference Erasing
AAAI Conference on Artificial Intelligence (AAAI), 2022.
ChemSpacE: Toward Steerable and Interpretable Chemical Space Exploration
Yuanqi Du, Xian Liu, Shengchao Liu, Jieyu Zhang, Bolei Zhou.
ICLR 2022 Machine Learning for Drug Discovery Workshop, 2022.
ELLIS Machine Learning for Molecule Discovery Workshop, 2021. (Oral Presentation)


  • Research Intern, Digital Content Group, Shanghai AI Laboratory.
    Jul. 2021 - Feb. 2022
    Supervised by: Dr. Bo Dai.
  • Research Intern, Intelligent Video Group, SenseTime Research.
    Aug. 2020 - Jun. 2021
    Supervised by: Dr. Wayne Wu.

Professional Services

  • Conference Reviewer for CVPR (2022, 2023), ECCV (2022), SIGGRAPH Asia (2022), NeurIPS (2022), ICML (2022), ICLR (2023), AAAI (2022, 2023)

Selected Honors & Awards

  • National Scholarship. 2019, 2020
  • Hong Kong Ph.D. Fellowship Scheme (HKPFS). 2021 - 2025
  • Outstanding Graduate of Zhejiang Province. 2021
  • Outstanding Bachelor Thesis Award of Zhejiang University, Top 1%. 2021
  • He Zhijun Scholarship. 2020
  • SenseTime Scholarship. 2020
  • Tang Lixin Scholarship. 2019
  • First Class Scholarship for Academic Excellence. 2019, 2020

Teaching Experience

  • ENGG 1120, Linear Algebra for Engineers, Spring 2022.
  • ENGG 2440, Discrete Mathematics for Engineers, Fall 2021.