Wensen Ma
Scholar

Wensen Ma

Google Scholar ID: LQnVgkQAAAAJ
Ph.D. Student, Hong Kong Polytechnic University
Learning TheorySelf-Supervised LearningTransfer Learning
Citations & Impact
All-time
Citations
2
 
H-index
1
 
i10-index
0
 
Publications
2
 
Co-authors
5
list available
Resume (English only)
Academic Achievements
  • Published several papers, such as 'Unsupervised Transfer Learning via Adversarial Contrastive Training' and 'Distribution Matching for Self-Supervised Transfer Learning.' Maintains an open-source machine learning implementation library called mlimpl, which provides concise and readable implementations of popular algorithms, suitable for teaching, prototyping, and reproducible research.
Research Experience
  • Engaged in multiple research projects, including unsupervised transfer learning via adversarial contrastive training and distribution matching for self-supervised transfer learning.
Education
  • Currently pursuing a PhD degree in the Department of Applied Mathematics at Hong Kong Polytechnic University, under the supervision of Prof. Defeng Sun and Prof. Houduo Qi. Previously, obtained a Bachelor’s degree from Northwest University and a Master’s degree from Wuhan University, with Master’s supervisor Prof. Yuling Jiao.
Background
  • Current research interests lie in statistical learning and deep learning theory, particularly in deep representation learning, self-supervised learning, and the theoretical foundations for large language models (LLMs). Focuses on establishing theoretical understandings and developing novel approaches in these areas.
Miscellany
  • Email: vincen.nwu@gmail.com