X Cai, X Wang, K Qu, M Dai, Y Li. (2025). "Adaptive Hypergraph-Based 3D Multi-Person Pose Estimation Method for Intangible Cultural Heritage Dance Videos." Proceedings of the 2025 International Conference on Multimedia Retrieval, 35-42.
W Ma, Y Li, T Li, H Yang, Z Li, L Wang, J Xuan. (2025). "SFSWTS: A spatial-frequency shifted windows and time self-attention network for EEG emotion recognition." Neurocomputing, 130309.
J Li, Y Luo, Y Li, X Li, X Li, Y Hao, L Wang, Z Li. (2024). "DreamTexture: High-Fidelity Synthetic 3D Data Generation Through Decoupled Geometry and Texture Synthesis." European Conference on Computer Vision, 303-320.
Y Huang, Y Li, G Jourjon, S Seneviratne, K Thilakarathna, A Cheng, et al. (2023). "Calibrated reconstruction based adversarial autoencoder model for novelty detection." Pattern Recognition Letters, 169, 50-57.
Y Li, Y Huang, S Seneviratne, K Thilakarathna, A Cheng, G Jourjon, et al. (2022). "From traffic classes to content: A hierarchical approach for encrypted traffic classification." Computer Networks, 212, 109017.
Y Huang, Y Li, T Heyes, G Jourjon, A Cheng, S Seneviratne, et al. (2022). "Task adaptive siamese neural networks for open-set recognition of encrypted network traffic with bidirectional dropout." Pattern Recognition Letters, 159, 132-139.
Y Li, Y Huang, R Xu, S Seneviratne, K Thilakarathna, A Cheng, D Webb, et al. (2018). "Deep content: Unveiling video streaming content from encrypted wifi traffic." 2018 IEEE 17th International Symposium on Network Computing and Applications, 1-8.
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA, USA
Talk at London School of Testing, London, UK
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley, CA, USA
Talk at UC San Francisco, Department of Testing, San Francisco, CA, USA