معرفی
Zhaohan Xi is an Assistant Professor in the School of Computing at Binghamton University, SUNY, focusing on AI security/privacy and clinical AI in the context of large language models (LLMs). His research spans cybersecurity strategies, healthcare applications, and advanced AI techniques like graph learning and AutoML. He holds a PhD from Pennsylvania State University, with a visiting scholar stint at Stony Brook University's Computer Science Department.
Education:
- PhD: Pennsylvania State University (2020–2024)
- Visiting Scholar: Stony Brook University (2023–2024)
- Master’s: Lehigh University (2016–2018)
- Bachelor’s: Nanjing University of Aeronautics and Astronautics (2012–2016)
Research interests include:
- AI Security/Privacy: Backdoor attacks, adversarial defense, and LLM vulnerabilities
- Clinical AI: Cardiologist-level diagnostics, drug repurposing, and ECG analysis
- Cybersecurity: Threat hunting, red/blue teaming, and threat intelligence
- Graph Learning: Knowledge graphs, GNNs, and decision-making systems
Recent publications emphasize LLM robustness (e.g., standardized testing benchmarks), adversarial knowledge extraction (e.g., stealing knowledge graphs via APIs), and cybersecurity applications (e.g., LLMs as threat intelligence tools). His work bridges theoretical AI security with practical healthcare and defense systems.
Notable awards include ICLR Notable Reviewer (2025) and Binghamton’s Outstanding Service and Support Award (2025). He has served as a NSF panelist (AI/cybersecurity) and reviewer for venues like ARR/EMNLP, ACL, and KDD.
Internships include roles at Sony AI (2024), Microsoft (2023), and Uber (2022), focusing on AI research and software engineering. No advising details or grants are explicitly mentioned in the provided texts.
