Wangxuan Institute of Computer Technology
Peking University
No. 128 Zhongguancun North Street,
Haidian District, Beijing,100871, China

E-mail: yangliu "at" pku.edu.cn

I am now a Tenure-track Assistant Professor (Ph.D. Supervisor) in Wangxuan Institute of Computer Technology, Peking University. Also a member of MIPL Group (led by Prof. Yuxin Peng) at Peking University.

Before joining Peking University, I was a Postdoctoral Researcher in the Visual Geometry Group (VGG) at University of Oxford, supervised by Prof. Andrew Zisserman. I received PhD and MPhil in Advanced Computer Science from University of Cambridge, and B.Eng. in Telecommunication Engineering from Beijing University of Posts and Telecommunications (BUPT).

My research interests include computer vision, natural language processing and machine learning, with an emphasis on how these areas can collaborate best to perform real-world tasks. Below are some of my recent research topic:

  • Intersection of visual and language (Retrieval, Captioning, Visual grounding, Visual question answering)
  • Image and video semantic analysis (Image and vieo Classification, Detection, Segmentation)
  • Machine Learning (Deep learning, Multi modal Learning, Transfer Learning, Self supervised learning)

We are always actively recruiting postdocs, Prospective graduate students and interns!

Welcome to contact me with your detailed CV! Please read this Note first!


    *: equivalent contribution, : corresponding author

    Video Activity Localisation with Uncertainties in Temporal Boundary (Accepted)
    Jiabo Huang, Hailin Jin, Shaogang Gong, Yang Liu
    European Conference on Computer Vision (ECCV), 2022  
    [ PDF]   [ Code]  


    Delving into the Continuous Domain Adaptation (Accepted)
    Yinsong Xu, Zhuqing Jiang, Aidong Men, Yang Liu,Qingchao Chen
    ACM International Conference on Multimedia (ACM-MM), 2022  
    [PDF]   [Code]   [(Coming soon)]  


    Phrase-level Prediction for Video Temporal Localization
    Sizhe Li, Chang Li, Minghang Zheng, Yang Liu
    ACM International Conference on Multimedia Retrieval (ICMR), 2022  
    [ PDF]   [ Bibtex


    Weakly Supervised Temporal Sentence Grounding with Gaussian-based Contrastive Proposal Learning
    Minghang Zheng, Yanjie Huang, Qingchao Chen, Yuxin Peng, Yang Liu
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022  
    [ PDF]   [Project Page]   [Code]   [ Bibtex


    Cross Modal Retrieval with Querybank Normalisation
    Simion-Vlad Bogolin, Ioana Croitoru, Hailin Jin, Yang Liu, Samuel Albanie
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022  
    [ PDF]   [Project Page]   [Code]   [ Bibtex


    Weakly Supervised Video Moment Localization with Contrastive Negative Sample Mining
    Minghang Zheng, Yanjie Huang, Qingchao Chen, Yang Liu
    Conference on Artificial Intelligence (AAAI), 2022  
    [ PDF]   [Project Page]   [Code]   [ Bibtex


    TeachText: CrossModal Generalized Distillation for Text-Video Retrieval
    Ioana Croitoru, Simion-Vlad Bogolin, Marius Leordeanu, Hailin Jin, Andrew Zisserman, Samuel Albanie, Yang Liu
    International Conference on Computer Vision (ICCV), 2021  
    [ PDF]   [Project Page]   [Code]   [ Bibtex


    Cross-Sentence Temporal and Semantic Relations in Video Activity Localisation
    Jiabo Huang, Yang Liu, Shaogang Gong, Hailin Jin
    International Conference on Computer Vision (ICCV), 2021  
    [ PDF]   [ Bibtex


    Adaptive Cross-Modal Prototypes for Cross-Domain Visual-Language Retrieval
    Yang Liu*, Qingchao Chen*, Samuel Albanie
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021  
    [pdf]   [Bibtex


    Mind-the-Gap! Unsupervised Domain Adaptation for Text-Video Retrieval
    Qingchao Chen*, Yang Liu*, Samuel Albanie
    Conference on Artificial Intelligence (AAAI), 2021  
    [pdf]   [Bibtex


    QuerYD: A video dataset with high-quality textual and audio narrations
    Andreea-Maria Oncescu, Joao F. Henriques, Yang Liu, Andrew Zisserman, Samuel Albanie
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021  
    [pdf]   [Project Page ]   [Audio Description Service ]   [Bibtex


    Amplifying Key Cues for Human-Object-Interaction Detection
    Yang Liu, Qingchao Chen, and Andrew Zisserman
    European Conference on Computer Vision (ECCV), 2020  
    [ PDF]   [Supplementary Material]   [Project Page]   [Video]   [ Bibtex


    Structure-Aware Feature Fusion for Unsupervised Domain Adaptation
    Qingchao Chen*, Yang Liu*
    Conference on Artificial Intelligence (AAAI), 2020  
    [PDF]   [Bibtex


    Use what you have: Video retrieval using representations from collaborative experts
    Yang Liu*, Samual Albanie*, Arsha Nagrani, and Andrew Zisserman
    British Machine Vision Conference (BMVC), 2019  
    [ PDF]   [Project Page]   [Code]   [Challenge]   [Challenge Report]   [ Bibtex


    Synthetically Supervised Feature Learning for Scene Text Recognition
    Yang Liu, Zhaowen Wang, Hailin Jin, and Ian Wassell
    European Conference on Computer Vision (ECCV), 2018  
    [ PDF]   [ Bibtex


    Multi-Task Adversarial Network for Disentangled Feature Learning
    Yang Liu, Zhaowen Wang, Hailin Jin, and Ian Wassell
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018  
    [ PDF]   [ Bibtex


    Re-weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation
    Qingchao Chen*, Yang Liu*, Zhaowen Wang, Ian Wassell and Kevin Chetty
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018  
    [ PDF]   [ Bibtex


    Discriminant Dictionary Learning meets CNN in Scene Recognition
    Yang Liu, Qingchao Chen, Wei Chen and Ian Wassell
    Conference on Artificial Intelligence (AAAI), 2018  
    [PDF]   [Bibtex


    Joint fall and aspect angle recognition using fine-grained micro-Doppler classification
    Qingchao Chen, Matthiew Ritchie, Yang Liu, Kevin Chetty, Karl Woodbridge,
    IEEE Radar Conference (RadarConf), 2017  
    [PDF]   [DOI]   [Bibtex


    Simultaneous Bayesian Sparse Approximation With Structured Sparse Models
    Wei Chen, David Wipf, Yu Wang, Yang Liu and Ian Wassell
    IEEE Transactions on Signal Processing (TIP), 2016  
    [PDF]   [DOI]   [Bibtex


    Support Discrimination Dictionary Learning for Image Classification
    Yang Liu, Wei Chen, Qingchao Chen and Ian Wassell
    European Conference on Computer Vision (ECCV), 2016  
    [PDF]   [DOI]   [Bibtex


    A New Face Recognition Algorithm based on Dictionary Learning for a Single Training Sample per Person
    Yang Liu and Ian Wassell
    British Machine Vision Conference (BMVC), 2015
    [PDF]   [DOI]   [Bibtex


  • 2018.08—2020.11: Postdoctoral Reseach Fellow
    Mentor: Prof. Andrew Zisserman
  • 2017.03—2017.06: Adobe Research Intern
    Mentors: Zhaowen Wang, Hailin Jin
  • 2014.10—2018.06: Research Assistant
    Mentor: Dr. Ian Wassell
  • 2013.05: Volunteer for Global Mobile Internet Conference
  • 2011.10—2012.10: First aid member of International Committee of Red Cross
    1. Second Prize in International Makeup Temporal Video Grounding Challenge 2022
    2. First Prize in International Condensed Movie Dataset Challenge 2021
    3. Third Prize in International Multi-Moments in Time Challenge 2019
    4. Second Prize in International Large Scale Movie Description Challenge 2019
    5. Cambridge Trust Scholar 2014-2018
    6. Thriplow Scholarship 2018
    7. MariaMarina Scholarship 2017
    8. Newton Trust Scholarship 2016
    9. Honorary Studentship in Lucy Cavendish College in Cambridge 2014
    10. Queen Mary College Prize 2013