Zekun Wang
Scholar

Zekun Wang

Google Scholar ID: VIGsFiYAAAAJ
Georgia Institute of Technology
machine learningcontinual learningreinforcement learningcomputer visionnlp
Citations & Impact
All-time
Citations
48
 
H-index
4
 
i10-index
2
 
Publications
10
 
Co-authors
14
list available
Resume (English only)
Academic Achievements
  • 1. Paper 'Avoid Catastrophic Forgetting with Rank-1 Fisher from Diffusion Models' accepted at NeurIPS 2025; 2. Paper 'Deep Taxonomic Networks for Unsupervised Hierarchical Prototype Discovery' accepted at NeurIPS 2025; 3. Paper 'Hierarchical Semantic Retrieval with Cobweb' accepted at NeuS 2025; 4. Paper 'Taxonomic Networks: A Representation for Neuro-Symbolic Pairing' accepted at CogSci 2025.
Research Experience
  • 1. Conducting Ph.D. research at Georgia Tech; 2. Completed M.S. project at the University of Michigan; 3. Participated in NLP research at Pennsylvania State University.
Education
  • 1. Georgia Institute of Technology, Ph.D. student, Advisor: Christopher J. MacLellan; 2. University of Michigan, M.S. in Computer Science, Advisors: Dr. Joyce Chai and Dr. Rada Mihalcea; 3. Pennsylvania State University, B.S. in Computer Science and B.S. in Mathematics, Advisor: Dr. Rebecca J. Passonneau.
Background
  • Research Interests: Intersection of cognitive science and artificial intelligence, particularly in learning from limited data and far transfer. Field: Fundamental limitations in deep learning and machine learning.