| Issue Date | Title | Author(s) |
| 2017 | Artificial intelligent system for automatic depression level analysis through visual and vocal expressions | Jan, A; Meng, H; Gaus, Y; Zhang, F |
| 2014 | Automatic depression scale prediction using facial expression dynamics and regression | Jan, A; Meng, H; Gaus, YFA; Zhang, F; Turabzadeh, S |
| 2015 | The automatic detection of chronic pain-related expression: requirements, challenges and a multimodal dataset | Aung, M; Kaltwang, S; Romera-Paredes, B; Martinez, B; Singh, A; Cella, M; Valstar, M; Meng, H; Kemp, A; Shafizadeh, M; Elkins, A; Kanakam, N; Rothschild, A; Tyler, N; Watson, P; Williams, A; Pantic, M; Bianchi-Berthouze, N |
| 2014 | Automatic emotional state detection using facial expression dynamic in videos | Meng, H; Huang, D |
| 2016 | Creative tools for producing realistic 3D facial expressions and animation | Cosmas, JP; Tsekleves, E; Constantinides, R |
| 2015 | Cultural-based visual expression: Emotional analysis of human face via Peking Opera Painted Faces (POPF) | Wang, D; Kang, J; Qin, SF; Birringer, J |
| 2012 | Facial expressions in response to a highly surprising event exceeding the field of vision: a test of Darwin's theory of surprise | Schützwohl, A; Reisenzein, R |
| 2016 | Real time facial expression recognition App development on mobile phones | Alshamsi, H; Meng, H; Li, M |
| 2016 | Time-delay neural network for continuous emotional dimension prediction from facial expression sequences | Meng, H; Bianchi-Berthouze, N; Deng, Y; Cheng, J; Cosmas, J |
