Title: Associate Professor, Master's Supervisor
Position: Director of the Department of Data Science and Big Data Technology
Affiliation: Institute of Computer Application Technology
Email: yangmq@lzu.edu.cn
Office Address: Room 312, Feiyun Building

 

Educational Background (Starting from Undergraduate Studies):
Received Bachelor's degree from Soochow University, and Master's and Ph.D. degrees in Computer Science from Lanzhou University.

 

Professional Experience

Currently employed at the School of Information Science and Engineering, Lanzhou University, focusing on teaching in the Data Science program and conducting research in affective computing. Previously worked at Huawei Technologies Co., Ltd. and the Network and Information Office of Lanzhou University, engaging in the design and development of cloud operating systems, networks, and big data technologies.

 

Teaching Experience

Courses taught at the undergraduate level:

50. Python Programming
50. Data Analysis Programming

50. Data Science Programming

 

Graduate Supervision

Supervised over ten master's students, with four receiving National Scholarships. Among the graduates, four pursued doctoral studies, while others joined top-tier enterprises such as Huawei and Meituan, demonstrating excellent performance.

 

Research Interests

50. Affective Computing
50. Ubiquitous Sensing
50. Human-Computer Interaction

Focuses on emotion disorder diagnostics and HCI based on multimodal behavioral data such as facial expressions, eye movements, and internet behavior.

 

Research Projects

Principal investigator of over ten national and provincial research projects, including National Natural Science Foundation grants, and a key participant in two National Key R&D Programs.

 

Publications and Authored Works

Selected representative publications from the past five years (as first or corresponding author) are listed below:

1. Digital Phenotyping and Feature Extraction on Smartphone Data for Depression Detection[J]. Proceedings of the IEEE, 2025. (Q1，IF=23.2)
2. Spike Memory Transformer: An Energy-Efficient Model in Distributed Learning Framework for Autonomous Depression Detection[J]. IEEE Internet of Things Journal. 2025. (Q1，IF=8.2)
3. DepMSTAT: Multimodal spatio-temporal attentional transformer for depression detection[J]. IEEE Transactions on Knowledge and Data Engineering, 2024, 36(7): 2956-2966. (Q1，IF=8.3)
4. Undisturbed mental state assessment in the 5G era: a case study of depression detection based on facial expressions[J]. IEEE Wireless Communications, 2021, 28(3): 46-53. (Q1，IF=12.9)
5. Wearable eye-tracking system for synchronized multimodal data acquisition[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34(6):5146-5159. (Q1, IF=8.3)
6. Gaze Patterns in Children With Autism Spectrum Disorder to Emotional Faces: Scanpath and Similarity[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2024, 32:865-874. (Q1，IF=4.8)
7. Aim Where You Look: Eye-Tracking-Based UAV Control Framework for Automatic Target Aiming[J]. IEEE Internet of Things Journal, 2024, 11(12): 21250 - 21260. (Q1，IF=8.2)
8. Trial selection tensor canonical correlation analysis (TSTCCA) for depression recognition with facial expression and pupil diameter[J]. IEEE Journal of Biomedical and Health Informatics, 2023. (Q1，IF=7.7)
9. Three-stream convolutional neural network for depression detection with ocular imaging[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023， 31:4921 - 4930.  (Q1，IF=4.8)
10. What Can Facial Movements Reveal? Depression Recognition and Analysis Based on Optical Flow Using Bayesian Networks. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023,31:3459-3468 (Q1,IF=4.8)
11. Invention Patent, Depression Assessment System Based on Eye Movement and Facial Expression (2023)
12. Invention Patent, Eyeglass Fitting System and Software (2022)
13. Utility Patent, Head-Mounted Eye Tracker (2023)
14. Utility Patent, Wearable Ear-Hook Eye Tracker with Gaze Prediction (2021)
15. Over 10 software registrations, including systems for depression detection, smartphone-based assessment, and autism behavior phenotyping.

 

Collaborations

Established partnerships with:

50. The University of Hong Kong
50. Northwestern University (USA)
50. Xiangya Second Hospital
50. Beijing Anding Hospital

 

Honors and Awards

50. Advisor to students winning ~20 nationa, provincial, and university-level competition awards
50. Excelent Advisor Awards in Gansu Province's "Challenge Cup", "Internet+", and Innovation Competitions
50. Excelent Advisor for Lanzhou University's Student Innovation and Entrepreneurship Program
50. Best Paper Award, MobiHeath 2021
50. Outstanding Service Award, IEEE Heathcom 2020
50. ACM Outstanding Doctora Dissertation Award
50. Second Prize, Lanzhou University Teaching Achievement Award

 

Professional Activities

50. Member, Organizing Committee, IScIDE International Conference (since 2018)
50. Reviewer for journals: ACM CSUR, IEEE TAC, IEEE TBE, IEEE TCSS, Frontiers in Psychology, Cluster Computing
50. Member of IEEE, ACM, and CCF

 

Additional Information

Research emphasizes diagnosis of emotional disorders using ubiquitous sensor data. Over the past five years, published 20+ first/corresponding author papers in top-tier journals and conferences (PIEEE, IEEE TKDE, IEEE TCSVD, etc.), including several ESI Highly Cited Papers, with a total IF exceeding 150. Holds 8 invention patents, and over 20 utility patents and software copyrights.

Guided undergraduates to publish 7 SCI papers, 2 CCF-recommended papers, and 4 invention patents. Undergraduate students at Lanzhou University are welcome to join the research group.