Academic Title: Associate Professor, Master’s Supervisor

Position: Deputy Director of the Department of Electronic Information (Responsible for the Artificial Intelligence Program)

Affiliated Institute: Institute of Computer Application Technology

Office Address: Room 316, Feiyun Building

Educational Background (Starting from Bachelor’s Degree)

Jun. 2017 Doctor of Engineering in Computer Application Technology, Lanzhou University

Jun. 2012 Master of Engineering in Signal and Information Processing, Lanzhou University

Jun. 2005 Bachelor of Engineering in the Department of Electronic Engineering and Information Science, University of Science and Technology of China

Work Experience

Jan. 2022 – Present Associate Professor, School of Information Science and Engineering, Lanzhou University

Feb. 2018 – Dec. 2021 Lecturer, School of Information Science and Engineering, Lanzhou University

Teaching Activities

Core Professional Courses: Fundamentals of Cognitive Science, Big Data ManagementCore General Education Courses of the University: Cognition, Brain and Artificial Intelligence

Research Interests

Affective computing, machine learning. Current research focuses on depression assessment based on verbal and facial behaviors.

Research Projects

Completed Projects

National Key Basic Research Program of China (973 Program): Research on Early Warning Theory of Potential Depression Risk and Key Biosensor Technologies Based on Multimodal Biological and Psychological Information, Jan. 2014 – Dec. 2018, Funding: 23 million RMB, Participant

Key Project of the National Natural Science Foundation of China: Research on Computational Models of Neural Mechanisms of Attention, Jan. 2017 – Dec. 2021, Funding: 2.3 million RMB, Participant

Youth Project of the National Natural Science Foundation of China: Research on Depression Assessment Models and Key Technologies Based on Paralinguistic Features, Jan. 2019 – Dec. 2021, Funding: 0.24 million RMB, Principal Investigator

Ongoing Projects

National Key R&D Program of China (Sub-project): Early Identification and Intervention Methods for Depressive Disorders Based on Multimodal Psychophysiological Information, Dec. 2019 – Dec. 2024, Funding: 2.3 million RMB, Principal Investigator

General Project of the National Natural Science Foundation of China: Research on Quantitative Models for Emergency Emotional Intervention, Jan. 2021 – Dec. 2024, Funding: 0.59 million RMB, Participant

Publications

Selected Papers in the Past 5 Years

[1] 2-level Hierarchical Depression Recognition Method Based on Task-stimulated and Integrated Speech Features, Biomed. Signal Process. Control., 2022, 72: 103287

[2] Deep Neural Networks for Depression Recognition Based on 2D and 3D Facial Expressions Under Emotional Stimulus Tasks, Frontiers in Neuroscience, 2021, 15

[3] Time-frequency Analysis Based on Hilbert-Huang Transform for Depression Recognition in Speech, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2020, 1072

[4] Thin-Slicing of Speech for Clinical Depression Detection,2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Miyazaki, Japan, 2018, pp. 1885-1891.

[5] Detecting Depression in Speech Under Different Speaking Styles and Emotional Valences, Lecture Notes in Computer Science, 2017, v 10654, 261-271

Social Services

Reviewer for journals including IEEE Transactions on Affective Computing, Speech Communication, Journal of Computers, and Control and Decision.

Other Information

Our team (comprising 5 doctoral researchers and 11 master’s researchers) is committed to exploring the relationship between human explicit behaviors (facial behaviors, verbal behaviors, movements, etc.) and psychological states. By analyzing the characteristics of explicit behaviors, we obtain information about human internal states (such as emotions, cognition, health conditions, etc.). The research findings can be applied to the analysis and automatic assessment of mental illnesses, work status evaluation, mental health assessment and early warning, and the development of emotional intelligence in artificial intelligence.

E-mail: liuzhenyu@lzu.edu.cn