Political Affiliation: Member of the Communist Party of China (CPC)

Academic Title: Engineer, Master’s Supervisor

Affiliated Institution: Institute of Computer Application Technology

Office Address: Room 502, Feiyun Building

Educational Background

2004.09-2008.06 Bachelor of Education in Educational Technology, Lanzhou University

2008.09-2011.06 Master of Education in Higher Education, Lanzhou University

2017.09-2023.06 Doctor of Engineering in Computer Application Technology, Lanzhou University

Professional Experience

2011.07-Present Assistant Engineer, Engineer, School of Information Science and Engineering, Lanzhou University

Teaching Experience

Undergraduate Courses Taught: Object-Oriented Programming Course Design (Java), Fundamentals of Software Technology Experiment, Database Principles Course Design, C Language Course Design, etc.

Majors for Student Recruitment

Professional Master’s Program in Computer-related Fields

Project Achievements

1. National Key R&D Program: Research on Multimodal Psychological and Physiological Information Fusion Modeling for Early Identification of Depressive Disorders, Core Team Member
2. National Key R&D Program: Brain-Computer Interface-based Emotion Detection and Affective Disorder Intervention, Participant
3. General Program of National Natural Science Foundation of China: Research on Collaborative Fusion Modeling of Neural Mechanisms of Multimodal Physiological Signals for Depressive Disorder Recognition, Participant
4. Key Program of Natural Science Foundation of Gansu Province: Research on Construction of Hidden State Representation of Brain Neural Dynamics for Depression Recognition, Participant

Publications (Papers and Books)

[1] Ren, C., Chen, J., Li, R., Chen, Y., Wang, T., Zheng, W., … & Hu, B. Hierarchical feature distillation model via dual-stage projections and graph embedding label propagation for emotion recognition [J]. Pattern Recognition, 2026,171: 112143. (SCI)

[2] Ren C, Chen J, Li R, … & Hu, B. Semi-supervised pairwise transfer learning based on multi-source domain adaptation: A case study on EEG-based emotion recognition[J]. Knowledge-Based Systems, 2024, 305: 112669.(SCI)

[3] Li, R., Ren, C., Ge, Y., Zhao, Q., Yang, Y., … & Hu, B. MTLFuseNet: A novel emotion recognition model based on deep latent feature fusion of EEG signals and multi-task learning[J]. Knowledge-Based Systems, 2023, 276: 110756.(SCI)

[4] Li, R., Ren, C., Li, C., Zhao, N., Lu, D., & Zhang, X. SSTD: A Novel Spatio-Temporal Demographic Network for EEG-Based Emotion Recognition[J]. IEEE Transactions on Computational Social Systems, 2023, 10(1): 376-387.(SCI)

[5] Li, R., Ren, C., Zhang, S., Yang, Y., Zhao, Q., … & Hu, B. STSNet: a novel spatio-temporal-spectral network for subject-independent EEG-based emotion recognition[J]. Health Information Science and Systems, 2023, 11(1): 25.(SCI)

Email: ruili@lzu.edu.cn