Shuyan LI

I am an Assistant Professor in Control Science and Engineering at the Institute for Ocean Engineering, Tsinghua Shenzhen International Graduate School (SIGS), Tsinghua University. Before joining Tsinghua, I held faculty positions as an Assistant Professor at Queen's University Belfast (2024–2026) and as a Postdoctoral Research Associate at the University of Cambridge (2022–2024), working with Prof. Ioannis Brilakis. My current research interests lie at the intersection of computer vision, deep learning, and marine engineering, with a focus on underwater vision, video understanding, and digital twin technologies.

I received my Ph.D. degree from the Department of Automation, Tsinghua University, under the joint supervision of Prof. Jiwen Lu, Prof. Xiu Li, and Prof. Jie Zhou. My research has been recognized with several honors, including the the Excellent Doctorate Dissertation Award from the Shenzhen Association for Artificial Intelligence (2023, 3 awardees annually).

I am actively seeking self-motivated Master's and Ph.D. students to join my group. If you have strong academic records, solid coding skills, and a genuine passion for research in computer vision and its applications, please feel free to send me your CV by email.

Sept 2016- Jan 2022,   Tsinghua University, Control Science and Engineering, PhD

Sept 2012 -June 2016,  China University of Geosciences (Wuhan),  Electronic Information Engineering, Bachelor

May 2026 – Present: Assistant Professor in Control Science and Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University

June 2024 – May 2026: Assistant Professor in Computer Science, Queen's University Belfast

November 2022 – April 2024: Postdoctoral Research Fellow in Civil Engineering, University of Cambridge

Editorial Board: Visual Intelligence (CSIG)

Conference Organization: BMVC 2025 Technical Program Chair (BMVA); BMVC 2024–2025 Information Fusion Workshop Chair; PRCV 2025–2026 Senior Area Chair

Journal Reviewer: TPAMI, TIP, TMM, TCSVT, PR

Conference Reviewer: CVPR, ECCV, AAAI, ACM MM, etc.

My research focuses on computer vision and deep learning for intelligent perception and digital twins in marine engineering. Key directions include:

· Underwater Vision: Low-quality image enhancement, object detection for underwater robots and marine monitoring;

· Video Understanding & Retrieval: video anomaly localization, scalable visual retrieval for open-world scenarios (including underwater/port environments);

· Digital Twin: Point-cloud-based geometric reconstruction and condition monitoring of marine structures.

Selected Achievements: 20+ papers in TPAMI, CVPR, ICCV, etc.; 600+ citations; 

Ongoing project: Tsinghua SIGS start-up project (2026–2029).

Past Projects: Co-PI | Horizon-MSCA Circular Fuel (2025–, £78k), participated in EU H2020 BIM2TWIN (£6M), National Key R&D Program of China (£4M), etc.

1. Shuyan Li, Xiu Li, Jiwen Lu and Jie Zhou, Structure-adaptive Neighborhood Preserving Hashing for Scalable Video Search, IEEE TCSVT, (IF: 11.1), 2021, 32(4):2441-2454.

2. Shuyan Li, Xiu Li, Jiwen Lu and Jie Zhou, Self-supervised Video Hashing via Bidirectional Transformers, CVPR, 2021, pp.13549-13558.

3. Yihua Shao, Haojin He, Sijie Li, Siyu Chen, Xinwei Long, Shuyan Li, et al., EventVAD: Training- Free Event-Aware Video Anomaly Detection, ACM MM (Oral), 2025.

4. Qiaosong Chu, Shuyan Li, Guangyi Chen, Kai Li and Xiu Li, Adversarial Alignment for Source Free Object Detection, AAAI (Oral), 2023, pp. 452–460.

5. Viktor Drobnyi, Shuyan Li, Ioannis Brilakis, Connectivity detection for automatic construction of building geometric digital twins, Automation in Construction, (IF: 10.3), 2024.

6. Shuyan Li, Zhixiang Chen, Xiu Li, Jiwen Lu and Jie Zhou, Unsupervised Variational Video Hashing with 1D-CNN-LSTM Networks, IEEE TMM, (IF: 9.7), 2020, 22(6):1542-1554.

7. Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li and Jie Zhou, Neighborhood Preserving Hashing for Scalable Video Retrieval, ICCV, 2019, pp. 8211–8220.

8. Yong Liu, Zhuoyan Luo, Yicheng Xiao, Yitong Wang, Shuyan Li, et al., Semantic-Assisted Object Clustering for Multi-Modal Referring Video Segmentation, IEEE TPAMI, (IF: 24.6), 2025.

9. Zhuoyan Luo, Yicheng Xiao, Yong Liu, Shuyan Li, Yitong Wang, Yansong Tang, Xiu Li, Yujiu Yang, SOC: Semantic-Assisted Object Cluster for Referring Video Object Segmentation, NeurIPS, 2023.

10. Keyu Guo, Yongle Huang, Shijie Sun, Nicola Strisciuglio, Shuyan Li, et al., Visual Grounding in 2D and 3D: A Unified Perspective and Survey, Information Fusion (IF: 18.6), 2025.

11. Viktor Drobnyi, Shuyan Li, Ioannis Brilakis, Digitisation of Existing Buildings with Arbitrarily Shaped Spaces from Point Clouds, Journal of Computing in Civil Engineering, (IF: 5.8), 2024.

12. Shurui Xu, Feng Luo, Shuyan Li, Mengzhen Fan, Zhongtian Sun, Three Trustworthiness Challenges in Large Language Model-based Financial Systems: Real-world Examples and Mitigation Strategies, FITEE (IF: 3.1), 2025.

13. Alwyn Mathew, Shuyan Li, Kacper Pluta, Rahima Djahel, Ioannis Brilakis, Digital Twin Enabled Construction Process Monitoring, European Conference on Computing in Construction，2024

14. Mohammadrahim Kazemzadeh, Banghuan Zhang, Tao He, Haoran Liu, ..., Shuyan Li, et al., Seeing Beyond RGB Capabilities: Data-Driven and Physics-Guided Broadband Spectral Extrapolation of Plasmonic Nanostructures by Deep Learning, ACS Photonics (IF: 6.5), 2026.

15. Shurui Xu, Shuyan Li, et al., MeniOmni: A Structured Multimodal Benchmark for Holistic Meniscus Injury Assessment, ICME, 2026.

16. Yuheng Luo, Shuyan Li, Zhong Cao, GRASP: group-Shapley feature selection for patients, ICASSP, 2026.

17. Mengqun Jin, Kai Li, Shuyan Li, Chunming He, Xiu Li, Towards Realizing the Value of Labeled Target Samples: a Two-Stage Approach for Semi-Supervised Domain Adaptation, ICASSP, 2023.

18. Yicheng Xiao, Yue Ma, Shuyan Li, Hantao Zhou, Ran Liao, Xiu Li, SemanticAC: Semantics-assisted Framework for audio classification, ICASSP, 2023.

19. Haonan Han, Rui Yang, Shuyan Li, Runze Hu, Xiu Li, SSGD: A Smartphone Screen Glass Dataset for Defect Detection, ICASSP, 2023.

20. Benjamin Redden, Shuyan Li, Hui Wang, Causal-INSIGHT: Probing Temporal Models to Extract Causal Structure, IJCNN, 2026.

21. Zexin Li, Yiyang Lin, Zijie Fang, Shuyan Li, Xiu Li, Av-gan: Attention-based varifocal generative adversarial network for uneven medical image translation, IJCNN, 2024 

Jiwen Lu, Jie Zhou, and Shuyan Li, Hash learning method and device based on neighborhood preserving, China Patent, ZL 2019 1 0264740.9, 2021. 

Excellent Doctorate Dissertation Award from SAAI

Forbes China 100 Most Influential.