Jiajie He
Scholar

Jiajie He

Google Scholar ID: LJQkxOUAAAAJ
Ph.D student in UMBC
recommender systemprivacynatural language processingmedical image
Citations & Impact
All-time
Citations
56
 
H-index
4
 
i10-index
2
 
Publications
9
 
Co-authors
4
list available
Resume (English only)
Academic Achievements
  • Passed the oral exam and preliminary exam to become a Ph.D. Candidate; Invited to chair a session at IEEE CogMI 2025; Invited Guest talk - DARS Lab; Invited talk - Global Summit on Innovating the Future of Artificial Intelligence (InnoAI 2026).
Research Experience
  • Conducting Ph.D. research at UMBC under the guidance of Prof. Keke Chen. Collaborating with researchers from USTC, Duke University, USC, and UC.
Education
  • Ph.D. in Computer Science, University of Maryland, Baltimore County, 2024–present; M.S. in Electrical Engineering, University of Southern California, 2021–2023; B.S. in Optics, Changchun University of Science and Technology, 2017–2021; Summer School, University of California, Los Angeles, Summer 2019.
Background
  • Research Interests: Privacy and Security, Machine Unlearning, Recommender Systems, Large Language Models and Multimodal Learning, LLM Agents, Medical Imaging (fMRI). Biography: PhD student in Computer Science at UMBC, focusing on developing advanced recommender systems. Also, a Photographer and co-founder of 3H-Studio.
Miscellany
  • Photographer and co-founder of 3H-Studio; Has lived in the UK, China, and the US.