Academic Title: Professor, PhD/Master’s Supervisor

Administrative Position: None

Affiliated Institution: Institute of Computer Software and Theory

Office Address: Room 431, Feiyun Building

Educational Background (Starting from Bachelor’s Degree)

2004.09 – 2011.06 Bachelor’s & Master’s Degrees College of Mathematics and Information Science, Northwest Normal University

2011.09 – 2015.07 Doctoral Degree School of Electronics Engineering and Computer Science, Peking University

Professional Experience

2015.07 – 2017.06 Postdoctoral Fellow Peking University

2017.06 – 2025.09 Associate Professor Lanzhou University

2025.10 – Present Professor Lanzhou University

Teaching Experience

Undergraduate Courses Taught: Discrete Mathematics, Knowledge Representation and Processing, Engineering Drawing

Graduate Courses Taught: Algorithm Design and Analysis

Graduate Supervision

Has supervised Master’s students since 2018, with 11 students graduated; currently supervises 9 Master’s students and co-supervises 3 PhD students.

Research Interests

Affective Computing, Knowledge Graph, Graph Theory and Combinatorial Optimization

Majors for Student Recruitment

Computer-related Majors

Research Projects

Ongoing Projects

• General Program of National Natural Science Foundation of China (Grant No. 62473181), 2025.01 – 2028.12, Principal Investigator
• Youth Science and Technology Talent Innovation Project of Lanzhou (Grant No. 2025-QN-038), 2025.05 – 2027.04, Principal Investigator

Completed Projects (Principal Investigator/Participant)

• National Key R&D Program of China: Research on Multimodal Psychological and Physiological Information Fusion Modeling for Early Identification of Depressive Disorders (Grant No. 2019YFA0706203), 2019.12 – 2024.11, Participant
• National Key R&D Program of China: Research on the Technical System for Automatic Construction and Update of Biomedical Knowledge Graphs (Grant No. 2021YFF1201203), 2021.12 – 2024.11, Participant
• Youth Program of National Natural Science Foundation of China (Grant No. 61802158), 2019.01 – 2021.12, Principal Investigator
• General Program of Natural Science Foundation of Gansu Province (Grant No. 20JR10RA605), 2021.02 – 2023.01, Principal Investigator
• China Postdoctoral Science Foundation (Grant No. 2016M591013), 2016.01 – 2017.06, Principal Investigator
• Fundamental Research Funds for the Central Universities (Grant No. lzujbky-2023-10), 2023.07 – 2025.06, Principal Investigator

Publications (Papers and Books)

Has published more than 50 SCI/EI indexed papers. Major recent publications are as follows:

1. Zepeng Li, Nengneng Ding, et al. A semi-supervised framework fusing multiple information for knowledge graph entity alignment. Expert Systems with Applications, 2025.
2. Zhenwen Zhang, Zepeng Li, et al. Enhancing user sequence representation with cross-view collaborative learning for depression detection on Sina Weibo. Knowledge-Based Systems, 2024.
3. Zepeng Li, Shuo Cao, et al. Multi-level semantic enhancement based on self-distillation BERT for Chinese named entity recognition. Neurocomputing, 2024.
4. Zepeng Li, Rikui Huang, et al. A performant and incremental algorithm for knowledge graph entity typing. World Wide Web, 2023.
5. Zhihua Guo, Zepeng Li, et al. Leveraging Domain Knowledge to Improve Depression Detection on Chinese Social Media. IEEE Transactions on Computational Social Systems, 2023.
6. Zepeng Li, Wenchuan Cheng, et al. Deep learning model with multi‑feature fusion and label association for suicide detection. Multimedia Systems, 2023.
7. Zepeng Li, Zhengyi An, et al. MHA: a multimodal hierarchical attention model for depression detection in social media. Health Information Science and Systems, 2023.
8. Shuzhong Lai, Zepeng Li. Detection of potential anxiety in social media based on multimodal fusion with deep learning methods. 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023.
9. Jianghong Zhu, Zepeng Li, et al. Public Attitudes Toward Anxiety Disorder on Sina Weibo: Content Analysis. Journal of Medical Internet Research, 2023.
10. Zepeng Li, Zhengyi An, et al. Using Label-text Correlation and Deviation Punishment for Fine-grained Suicide Risk Detection in Social Media. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022.

Honors and Awards

• Guided graduate students to win 1 national first prize, 6 national second prizes and 3 national third prizes in Mathematical Modeling Competitions, and 1 national third prize in Artificial Intelligence Innovation Competition.
• Awarded Excellent Supervisor of Undergraduate Graduation Theses of Lanzhou University, 2021.
• Selected into Boya Postdoctoral Program of Peking University, 2016.

Academic Services

1. 2017.10 – Present, Reviewer, Mathematical Reviews, American Mathematical Society (Reviewer ID: 109884).
2. 2018.08 – Present, Director, Technical Committee on Graph Theory and Combinatorial Optimization, China Institute of Electronics.
3. 2021.05 – Present, Member, Technical Committee on Affective Computing, Chinese Information Processing Society of China.

Email: lizp@lzu.edu.cn