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Accepting PhD Students

PhD projects

I have a collaborative studentship opportunity, please contact me before Aug 17th 2024.
Self-funded students are always welcome.

20202026

Research activity per year

Personal profile

Research Interests

Broadly interested in deep learning and computer vision.

Current research focuses on unsupervised learning, digital twins, video understanding, representation learning, and domain adaptation.

Teaching

  1. Guest lecturer, Digital Innovation Built Asset Management MSc, University College London 2024                                                                                                                                    

  2. Instructor, Digital Twin Workshop, University of Cambridge 2024                          

  3. Module co-designer, 4D4: Digital Construction, University of Cambridge 2023                                        

  4. Demonstrator & marking, 3F8: Inference, University of Cambridge Lent term 2023                                                                                   

Achievements

Excellent Doctorate Dissertation, ShenZhen Association for Artificial Intelligence       2023

The First Prize Scholarship, Tsinghua University (Top 5%)     2020

National Scholarship, MOE of PRC (Top 2%)        2013

Fingerprint

Dive into the research topics where Shuyan Li is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
  • Causal-INSIGHT: probing temporal models to extract causal structure

    Redden, B., Wang, H. & Li, S., 21 Mar 2026, (Accepted) 2026 International Joint Conference on Neural Networks (IJCNN): Proceedings. IEEE, 8 p. (Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN )).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • GRASP: Group-shapley feature selection for patients

    Luo, Y., Li, S. & Cao, Z., 21 Apr 2026, ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP): Proceedings. IEEE, p. 5486-5490 5 p. (IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
    14 Downloads (Pure)
  • Machine learning for mortality prediction in COPD-CVD comorbidity

    Thompson, E., Jurek-Loughrey, A., Wang, H., Li, S. & Cao, Z., 12 May 2026, (Accepted) 36th Irish Signals and Systems Conference (ISSC): Proceedings . IEEE, 6 p. (Irish Signals and Systems Conference (ISSC): Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Semantic-assisted object clustering for multi-modal referring video segmentation

    Liu, Y., Luo, Z., Xiao, Y., Wang, Y., Li, S., Li, X., Yang, Y. & Tang, Y., Jan 2026, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 48, 1, p. 572-590 19 p.

    Research output: Contribution to journalArticlepeer-review

    Open Access
    File
    8 Downloads (Pure)
  • Visual Grounding in 2D and 3D: A unified perspective and survey

    Guo, K., Huang, Y., Jia, T., Song, X., Sun, S., Wei, H., Han, X. F., Huang, S., Strisciuglio, N. & Li, S., Feb 2026, In: Information Fusion. 126, Part B, 24 p., 103625.

    Research output: Contribution to journalArticlepeer-review