Tingshao Zhu

Tingshao ZhuTingshao Zhu, PhD, earned his second Ph.D at the University of Alberta Canada in 2006. From 2008, he started working as a Professor at the University of Chinese Academy of Sciences(CAS) in Beijing, and then moved to the Institute of Psychology CAS, to focus on cyber psychology. Dr. Zhu has extensive experience on Data Mining and Machine Learning. His research on Mandarin Text-To-Speech, conducted at the Institute of Computing Technology, CAS, was the first attempt to acquire prosodic patterns using data mining. His proposal of learning browsing behavior model from passive observations has defined a new direction for Web user modeling. The paper that presents this idea won the Best Student Paper Award at the 9th International Conference on User Modeling (UM2003). His recent work focuses on mining behavioral big data, that is, to predict personality, mental health, social well-being, etc. of users based on behavior digital record. The results on microblog (Sina Weibo) and gaits demonstrate that it is applicable to predict psychological features on behavior. He has published over 50 papers in major international academic conferences and journals. The main foci of his current work are (1) user behavior modeling; (2)Computational CyberPsychology and (3) data mining. For more information, please visit: http://ccpl.psych.ac.cn

Publications

Automatical Emotion Recognition Based on Daily Gait
Automatical Emotion Recognition Based on Daily Gait
Xiaoqian Liu, Tingshao Zhu. © 2019. 14 pages.
In this chapter, a kind of emotion recognition method based on gait using a customized smart bracelet with a built-in acceleration sensor was introduced in detail. The results...
Psychological Profiles Prediction Using Online Social Network Behavior Data
Psychological Profiles Prediction Using Online Social Network Behavior Data
Nan Zhao, Tingshao Zhu. © 2019. 13 pages.
As today's online social network (OSN) has become a part of our daily life, the huge amount of OSN behavior data could be a new data source to detect and understand...
Automatic Emotion Recognition Based on Non-Contact Gaits Information
Automatic Emotion Recognition Based on Non-Contact Gaits Information
Jingying Wang, Baobin Li, Changye Zhu, Shun Li, Tingshao Zhu. © 2019. 14 pages.
Automatic emotion recognition was of great value in many applications; however, to fully display the application value of emotion recognition, more portable, non-intrusive...
Automatic Emotion Recognition Based on Non-Contact Gaits Information
Automatic Emotion Recognition Based on Non-Contact Gaits Information
Jingying Wang, Baobin Li, Changye Zhu, Shun Li, Tingshao Zhu. © 2018. 12 pages.
Automatic emotion recognition was of great value in many applications, however, to fully display the application value of emotion recognition, more portable, non-intrusive...