Kai Shu
Scholar

Kai Shu

Google Scholar ID: -6bAV2cAAAAJ
Assistant Professor of Computer Science, Emory University
Data MiningTrustworthy AISocial ComputingMachine LearningAI Safety
Citations & Impact
All-time
Citations
17,266
 
H-index
49
 
i10-index
106
 
Publications
20
 
Co-authors
179
list available
Resume (English only)
Academic Achievements
  • Named in Stanford’s World's Top 2% Scientists 2025.
  • Honorable Mention for Aminer AI 2000 Most Influential Scholar Award in Data Mining (2025).
  • Recipient of the NSF CAREER Award (2024) on fairness in real-world AI.
  • Received Emory URC Research Award (2025), NSF NAIRR Pilot Award (2025), DHS grant via CAOE (2023), multiple Cisco Faculty Research Awards.
  • Awarded Microsoft Accelerate Foundation Models Research Award (2023), DARPA AI Forward Scholarship (2023), AAAI New Faculty Highlights (2023), Meta Research Award finalist (2022), and ASU Dean’s Dissertation Award (2020).
  • Research supported by federal agencies (NSF, DARPA, IARPA, DHS, DOE) and industry partners (Cisco, Google, Microsoft).
  • Papers accepted at top venues including ICLR, NeurIPS, EMNLP, NAACL, TheWebConf, KDD, CIKM, COLING, AACL, AMIA, DSAA, etc.
  • Led an NSF-funded project on open-source anomaly detection (2024) with UIC, USC, and Lehigh.
  • Published a perspective on protecting LLMs from jailbreaks in Communications of the ACM (2025).