Scholar
Xiaoxue Han
Google Scholar ID: v0QqnSQAAAAJ
Ph.D. Candidate, Stevens Institute of Technology
Citations & Impact
Citations
43
H-index
4
i10-index
2
Publications
10
Co-authors
1
list available
Contact
Publications
Resume (English only)
Academic Achievements
- - 2025.5, Joining Meta FAIR lab as a summer intern
- - 2025.5, Received Stevens Excellence Doctoral Fellowship
- - 2025.1, Paper on graph OOD generalization accepted by AISTATS 2025
- - 2024.11, Received NeurIPS 2024 Scholar Award
- - 2025.11, Paper on EHR prediction accepted by IEEE BigData 2024 Workshop on Big Data and AI for Healthcare
- - 2024.9, Paper on Continual Graph Learning accepted by NeurIPS 2024
- - 2024.4, Passed Defense Proposal, officially a PhD candidate
- - 2022.10, Received ICDM 2022 Student Travel Award
- - 2022.8, Paper on social event prediction accepted by ICDM 2022
- - 2022.8, Passed oral qualification exam
Research Experience
- - Summer Intern at Meta FAIR, 2025
- - PhD Student at Stevens Institute of Technology, 2021 - Present
Education
- - Stevens Institute of Technology, Ph.D. in Computer Science, 2021 - Present, Advisor: Prof. Yue Ning
- - Virginia Tech, M.S. in Mechanical Engineering, 2018 - 2020
- - University of Arizona, B.S. in Mechanical Engineering, 2014 - 2018
Background
- - Research Interests: Graph Neural Networks (GNNs), catastrophic forgetting in continual learning, out-of-distribution (OOD) generalization, graph privacy protection, etc.
- - Field: Computer Science
- - Introduction: A fourth-year PhD student at Stevens Institute of Technology, advised by Prof. Yue Ning. Her research focuses on developing robust and trustworthy models that can adapt to diverse scenarios and overcome real-world challenges. She is enthusiastic about applying GNNs and other advanced machine learning methods to solve real-world problems.
Miscellany
- - Interested in leveraging Large Language Models (LLMs) to enhance the generalizability of GNNs
- - Open to discussions and collaborations
