Mengran Li

1. Personal Profile

I am currently pursuing a Ph.D. in Engineering at the School of Intelligent Engineering, Sun Yat-sen University, focusing on Control Science and Engineering. Before this, I obtained a Master's degree in Control Science and Engineering from Beijing University of Technology. My main research interests include the application of network science in social media, heterogeneous graph learning, hypergraph learning, temporal modeling, traffic big data, and bioinformatics. I am advised by Dr. Ronghui Zhang at Sun Yat-sen University and Dr. Yong Zhang at Beijing University of Technology. As the first author, I have published over 10 high-level papers in top-tier journals, including IEEE Transactions and ACM Transactions.

2. Education

2023 – Present: Ph.D. Student, Sun Yat-sen University, School of Intelligent Engineering
2020 – 2023: Master's Degree in Control Science and Engineering, Beijing University of Technology
2016 – 2020: Bachelor's Degree, East China Jiaotong University

3. Publications

For the latest and complete list of publications, please refer to my Google Scholar Profile

Topology-Driven Attribute Recovery for Attribute Missing Graph Learning in Social Internet of Things, IEEE Internet of Things Journal, 2025.
TDG-Mamba: Advanced Spatiotemporal Embedding for Temporal Dynamic Graph Learning via Bidirectional Information Propagation, IEEE Transactions on Computational Social Systems, 2024.
Redundancy Is Not What You Need: An Embedding Fusion Graph Auto-Encoder for Self-Supervised Graph Representation Learning, IEEE Transactions on Neural Networks and Learning Systems, 2024.
SCAE: Structural Contrastive Auto-encoder for Incomplete Multi-view Representation Learning, ACM Transactions on Multimedia Computing, Communications and Applications, 2024.
CSAT: Contrastive Sampling-Aggregating Transformer for Community Detection in Attribute-Missing Networks, IEEE Transactions on Computational Social Systems, 2023.
Self-supervised Nodes-Hyperedges Embedding for Heterogeneous Information Network Learning, IEEE Transactions on Big Data, 2023.
Hypergraph Transformer Neural Networks, ACM Transactions on Knowledge Discovery from Data, 2022.
Multi-view hypergraph neural networks for student academic performance prediction, Engineering Applications of Artificial Intelligence, 2022.
SHCN: Self-supervised general hypergraph clustering network, in 2022 IEEE International Conference on Big Data (Big Data), 2022.
Inferring student social link from spatiotemporal behavior data via entropy-based analyzing model, Intelligent Data Analysis, 2022.

4. Honors and Awards

Beijing Excellent Graduate of Ordinary Higher Education Institutions (2023)
National Scholarship for Master's Students (2022)
Beijing University of Technology Outstanding Graduate (2023)
Outstanding Master's Thesis Award, Beijing University of Technology (2023)
Xiaomi Special Award, Beijing University of Technology (Top 10 University-wide, 2022)
First-class Academic Scholarship, Sun Yat-sen University (2024)

5. Academic Service

I serve as a reviewer for prestigious journals, including:

IEEE Transactions on Neural Networks and Learning Systems
IEEE Transactions on Computational Social Systems
IEEE Transactions on Mobile Computing
IEEE Transactions on Emerging Topics in Computing
IEEE Communications Letters
Information Fusion
Neural Networks
Neurocomputing
Engineering Applications of Artificial Intelligence
Expert Systems with Applications
Knowledge-Based Systems

6. Contact Information

If you are interested in collaboration opportunities or would like to discuss research, feel free to reach out to me via email: