معرفی
Mingguo He is a Research Fellow at the School of Computing, National University of Singapore (NUS), working under Prof. Xiaokui Xiao. His research bridges theoretical graph representation learning and scientific applications, with emphasis on spectral methods and transformer architectures for graph-structured data.
His academic background includes:
- Ph.D. in Artificial Intelligence from Renmin University of China (2020-2025), supervised by Prof. Zhewei Wei
- Visiting researcher at Technical University of Munich (2024-2025) with Prof. Stephan Günnemann
- B.E. in Software Engineering from Central South University (2016-2020)
He pioneers innovations in Spectral Graph Neural Networks, exploiting spectral properties to enhance model interpretability and performance. His Graph Transformers research integrates attention mechanisms with graph topologies for efficient processing, while his AI for Science work accelerates discovery in materials science, biology, and chemistry through machine learning. Recent developments include the DirLinkBench benchmark for directed graph link prediction.
His publication trends (2021-2024) reveal evolving focus from foundational spectral methods (BernNet, Chebyshev approximation) toward heterogeneous graph modeling and scalable architectures (PolyFormer), consistently targeting real-world applicability in scientific domains and network analysis.
His recognition includes:
- National Scholarship for Doctoral Students (2024)
- Provincial Excellent Graduates (2020)
- National Scholarship for Undergraduate Students (2018)
He actively contributes to the research community as a reviewer for NeurIPS (2022-2025), ICML (2023-2025), ICLR (2024-2025), TheWebConf (2024-2025), and journals including TPAMI and TKDE. No advisees or grant funding are documented in available materials, though his service record demonstrates significant scholarly engagement.
