Han Xu
Scholar

Han Xu

Google Scholar ID: mX2rL3IAAAAJ
Assistant Professor, University of Arizona
Machine LearningTrustworthy AI
Citations & Impact
All-time
Citations
2,815
 
H-index
21
 
i10-index
29
 
Publications
20
 
Co-authors
5
list available
Resume (English only)
Academic Achievements
  • Published numerous papers in top conferences such as EMNLP, NeurIPS, ACL, ICLR, KDD, ICML, etc.; Received several scholarships and awards, including being a runner-up for INNS 2024 Doctoral Dissertation Award, Outstanding Graduate Student award from CSE at MSU.
Research Experience
  • Tenure-Track Assistant Professor at the Department of Electrical and Computer Engineering, The University of Arizona, starting Fall 2024; Advised multiple PhD students on their research projects.
Education
  • PhD from the Department of Computer Science and Engineering at Michigan State University, advised by Dr. Jiliang Tang; Master's degree in Statistics from the University of Michigan, Ann Arbor; Bachelor's degree in Mathematics from Nankai University, China.
Background
  • Broad research interests in Trustworthy ML/AI, including robustness, fairness, privacy and copyright issues, as well as the related problems in real-world applications such as images, graph data, text data, and financial data. Growing interest in studying trustworthy problems about generative models, including Large Language Models (LLMs) and Diffusion Models (DMs).
Miscellany
  • Designed and delivered a short-term PhD course on Trustworthy AI; Collaborated with other scholars to write survey papers; Organized and presented in KDD 2022 tutorial on adversarial attacks and defenses.