skip to content

Department of Computer Science and Technology

  • Research Staff


Siyang's research interests include:

Affective Computing

Human-computer Interaction

Computer Vision

Machine Learning

Personality, mental health and facial analysis


Recent publications:

[1] Song, Siyang, Shashank Jaiswal, Linlin Shen, and Michel Valstar. "Spectral representation of behaviour primitives for depression analysis." IEEE Transactions on Affective Computing (2020).

[2] Song, Siyang, Shashank Jaiswal, Enrique Sanchez, Georgios Tzimiropoulos, Linlin Shen, and Michel Valstar. "Self-supervised Learning of Person-specific Facial Dynamics for Automatic Personality Recognition." IEEE Transactions on Affective Computing (2021).

[3] Shao, Zilong, Siyang Song, Shashank Jaiswal, Linlin Shen, Michel Valstar, and Hatice Gunes. "Personality Recognition by Modelling Person-specific Cognitive Processes using Graph Representation." 29th ACM International Conference on Multimedia (2021).

[4] Ringeval, Fabien, Björn Schuller, Michel Valstar, Nicholas Cummins, Roddy Cowie, Leili Tavabi, Maximilian Schmitt, Siyang Song et al. "AVEC 2019 workshop and challenge: state-of-mind, detecting depression with AI, and cross-cultural affect recognition." In Proceedings of the 9th International on Audio/Visual Emotion Challenge and Workshop, pp. 3-12. 2019.

[5] Song, Siyang, Linlin Shen, and Michel Valstar. "Human behaviour-based automatic depression analysis using hand-crafted statistics and deep learned spectral features." In 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018), pp. 158-165. IEEE, 2018.


Contact Details