I am a M.S. student in computer science at the Institute of Computer Vision, Shenzhen University, supervised by Prof. Zhihui Lai. I achieved a Bachelor (Mathematics and Applied Mathematics) from the South China University of Technology. My interests include Graph Neural Networks (GNNs), Knowledge Graph, Large Language Models (LLMs) and Support Vector Machines (SVM). Recently I have focused on adaptive graph polynomial filters, heterogeneous/robust graph neural networks, knowledge graphs, and LLMs in medical applications. My research goal is to build theoretical guarantees and practical models that exhibit interpretability/robustness/stability for real-world applications. Please feel free to contact me if you are interested in my research or my hobbies.

News!

2024-6-7: I am undertaking a short-term exchange at PolyU for three months under the supervision of Prof. Qing Li.

2024-4-21: A paper is accepted by Information Sciences.

2023-10-6: A paper is accepted by CAAI Transactions on Intelligence Technology.

Honors & Awards

• The Second Prize Scholarship, Shenzhen University, 2023
• Special Scholarship, Shenzhen University, 2022
• National Encouragement Scholarship, South China University of Technology, 2021
• Honorable Mention, Mathematical Contest In Modeling Certificate of Achievement, 2021
• Third Prize, National Undergraduate Mathematics Contest (Mathematics Class A), 2020
• Second Prize, The 19th Mathematics and Science Competition of South China University of Technology, 2020
• One Star Volunteer, South China University of Technology, 2020
• Second Prize, National Olympiad in Informatics in Provinces, 2015, 2017

Research Experiences

• Hong Kong Polytechnic University Exchange Program, 2024 (Under the supervision of Prof. Qing Li).
• IAPR/IEEE Winter School on Biometrics, 2023 (Outstanding participation award).
• The 12th International Conference on Image and Graphics, 2023.

Publications

• Liang G, Lai Z, Kong H. Support vector machine with discriminative low‐rank embedding. CAAI Transactions on Intelligence Technology, 2024.
• Lai Z, Liang G, Zhou J, et al. A Joint Learning Framework for Optimal Feature Extraction and Multi-class SVM. Information Sciences, 2024.
• Three articles are under review.