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publications

Deep content: Unveiling video streaming content from encrypted wifi traffic

Published in 2018 IEEE 17th International Symposium on Network Computing and Applications (NCA), 2018

Unveiling video streaming content from encrypted WiFi traffic using deep learning techniques.

Recommended citation: 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.

Task adaptive siamese neural networks for open-set recognition of encrypted network traffic with bidirectional dropout

Published in Pattern Recognition Letters, 2022

Using task adaptive siamese neural networks for identifying open-set encrypted network traffic.

Recommended citation: 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.

From traffic classes to content: A hierarchical approach for encrypted traffic classification

Published in Computer Networks, 2022

A hierarchical approach for classifying encrypted traffic from classes to specific content.

Recommended citation: 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.

Calibrated reconstruction based adversarial autoencoder model for novelty detection

Published in Pattern Recognition Letters, 2023

An adversarial autoencoder model designed for novelty detection with calibrated reconstruction.

Recommended citation: 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.

DreamTexture: High-Fidelity Synthetic 3D Data Generation Through Decoupled Geometry and Texture Synthesis

Published in European Conference on Computer Vision (ECCV), 2024

This paper presents DreamTexture, a method for high-fidelity synthetic 3D data generation.

Recommended citation: 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.

SFSWTS: A spatial-frequency shifted windows and time self-attention network for EEG emotion recognition

Published in Neurocomputing, 2025

A new network architecture for EEG emotion recognition utilizing spatial-frequency shifted windows.

Recommended citation: 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.

Adaptive Hypergraph-Based 3D Multi-Person Pose Estimation Method for Intangible Cultural Heritage Dance Videos

Published in Proceedings of the 2025 International Conference on Multimedia Retrieval (ICMR), 2025

This paper proposes an adaptive hypergraph-based method for 3D multi-person pose estimation.

Recommended citation: 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.

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015