Scholar
Yiming Huang
Google Scholar ID: fwxB3U8AAAAJ
Imperial College London; University of Electronic Science and Technology of China (UESTC)
Citations & Impact
Citations
126
H-index
5
i10-index
5
Publications
8
Co-authors
8
list available
Publications
Resume (English only)
Academic Achievements
- - Publication: Influential Simplices Mining via Simplicial Convolutional Networks, Information Processing & Management, June 2024
- - Publication: Higher-order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial Complexes, AAAI24, September 2023
- - Publication: Identifying vital nodes through random walks on higher-order networks, Information Sciences
- - Publication: Identifying key players in complex networks via network entanglement, Communications Physics
- - Publication: Cooperative Network Learning for Large-Scale and Decentralized Graphs
Research Experience
- - PhD Candidate, CIRCLE Group, Imperial College London
- - Involved in multiple research projects during MSc at UESTC
Education
- - PhD Candidate, Computing Research, Imperial College London, Advisor: Prof. Tolga Birdal
- - MSc in Computer Science and Technology, University of Electronic Science and Technology of China (UESTC), 2024, Advisor: Prof. Linyuan Lü
- - BSc in Computer Science and Technology, Nanjing University of Information Science and Technology (NUIST), 2021
Background
- - Research Interests: Network Science, Topological Deep Learning, Higher-order Network Analysis, Influence Maximization, Graph Representation Learning, Quantum Computation
- - Background: PhD student and Lee Family scholar in the CIRCLE Group at Imperial College London, advised by Prof. Tolga Birdal. Focused on developing novel topological deep learning methods for understanding complex and higher-order graph structures.
