Li Xiong

Sep 2026: Excited to spend part of my sabbatical at the Paris Institute for Advanced Study (IAS) as part of the "Distinguished Fellowship Program" with PostGenAI@Paris. Looking forward to interdisciplinary conversations and collaborations in Paris!

June 2026: Enjoyed co-organizing the OpenDP Workshop on Differential Privacy for Health and Genomics at Harvard. See my short level-setting presentation on key privacy challenges in health and genomics and how differential privacy can help. Many thanks to all of our speakers and participants!

Jan 2026: Honored to be named an ACM fellow! This recognition belongs to all my students, postdocs, collaborators, and mentors. Grateful for the opportunity to learn from and work alongside such incredible people everyday. (ACM news, ACM-W news)

June 2025: Our paper "Geo-Llama: Leveraging LLMs for Human Mobility Trajectory Generation with Spatiotemporal Constraints" received the Best Student Paper Award at IEEE MDM 2025! Congratulations to Siyu and the team and thanks to the community for the recognition!

June 2025: Our paper "Spatial Task Assignment for Crowd Sensing with Cloaked Locations" from 10 years ago received the Test-of-time Award at IEEE MDM 2025! Congratulations to Layla and the team for the impactful work and thanks to the community for the recognition!!

March 2025: Honored to be named an AAAS fellow! Truly grateful for my mentors, students, and collaborators who made this possible. (Emory news)

October 2024: Our paper "Cross-silo Federated Learning with Record-level Personalized Differential Privacy" (paper link) received the distinguished paper award at ACM CCS'24! Congratulations to the students and collaborators and thanks to CCS organizers and reviewers!

[Archive of News and Activities]

Li Xiong is a Samuel Candler Dobbs Professor of Computer Science and Professor of Biomedical Informatics at Emory University. She held a Winship Distinguished Research Professorship from 2015-2018. She has a Ph.D. from Georgia Institute of Technology, an MS from Johns Hopkins University, and a BS from the University of Science and Technology of China. Her research lab, Assured Information Management and Sharing (AIMS), conducts research on trustworthy and privacy-enhancing AI algorithms for healthcare, public health, and spatial intelligence. She is recognized as an IEEE fellow (2022), AAAS fellow (2024), ACM fellow (2025) for her contributions to privacy-preserving and secure data sharing and analytics. She has published over 200 papers and received seven best paper or runner up awards, and a test-of-time award. Her research has been supported by both governments (NSF, NIH, IARPA, AFOSR, PCORI) and industry/foundations (Mitsubishi, Cisco, AT&T, Google, IBM). She has served and serves as associate editor for ACM TAISAP, IEEE TKDE, IEEE TDSC, and VLDBJ, general chair for ACM SIGSPATIAL 2024, CIKM 2022, program chair for IEEE ICDE 2027, IEEE BigData 2020 and ACM SIGSPATIAL 2020, 2018.