Scholar
Maolin Wang
Google Scholar ID: UtvnGM8AAAAJ
City University of Hong Kong
Citations & Impact
Citations
457
H-index
11
i10-index
13
Publications
20
Co-authors
12
list available
Publications
Resume (English only)
Academic Achievements
- - Paper 'Put Teacher in Student’s Shoes: Cross-Distillation for Ultra-compact Model Compression Framework' (EI-BERT) received Best Paper Award Runner Up at KDD2025
- - Multiple papers accepted by CIKM 2025, ACL 2025, KDD 2025 (Research Track), IJCAI 2025, and SIGIR 2025
- - Guest Editor for Special Issue on Advances in Quantum Machine Learning: Variational Algorithms and Tensor Network Methods for Discover Quantum Science Journal
- - Received a SIGKDD-supported KDD 2025 Student Travel Award ($1000)
Research Experience
- - Focused on graph learning, model compression, tensor/matrix decomposition, and LLMs during his Ph.D. studies at City University of Hong Kong
- - Invited to give talks on 'Tensor Criterion-Based Neural Networks' and 'Modern Model Compression Techniques' at various universities and companies
Education
- - Ph.D. degree: City University of Hong Kong, supervised by Prof. Xiangyu Zhao and co-supervised by Dr. Ruocheng Guo and Prof. Junhui Wang
- - Master's and bachelor's degrees: University of Electronic Science and Technology of China (UESTC), supervised by Prof. Zenglin Xu
Background
- - Research interests: Graph Learning, Model Compression, Tensor/Matrix Decomposition, Trustworthy AI, and Large Language Models
- - Professional field: Artificial Intelligence, Machine Learning
- - Brief introduction: Committed to the research of sustainable AI, making it both powerful and environmentally responsible, and more accessible to everyone.
Miscellany
- - Mentored students who have won awards such as Outstanding Academic Performance Award and Outstanding Dissertation Award
