Human Behaviour Understanding and Generation (HBUG) Lab
Facilitating machines to understand human
behaviours and generate human-style behavioural reactions.
HBUG
Human Behaviour Understanding and Generation (HBUG) Lab
Human Behaviour Understanding and Generation (HBUG) Lab
HBUG Lab focus on exploring and developing
cutting edge artificial intelligence algorithms and systems for
various affective computing tasks, including automatic human behaviour
understanding and behavioural reaction generation. Our main research
topics are:
(i) human verbal and non-verbal behaviour reaction generation;
(ii) multi-modal mental health (e.g., depression, anxiety, bipolar and
autism)
and personality assessment;
(iii) facial expression and emotion recognition;
(iv) Graph Neural Networks and graph representation learning.
HBUG
Lab director: Dr. Siyang Song
Siyang is a Lecturer (Assistant Professor) at the University
of Exeter, and an affiliated/visiting researcher at the Department
of Computer Science and Technology, University of Cambridge.