Li Xiong

October 2021: Gave an invited talk on Trustworthy Machine Learning with Differential Privacy and Certified Robustness at IEEE DSC.

August 2021: Starting a new project on Hyperlocal Risk Monitoring and Pandemic Preparedness through Privacy-Enhanced Mobility and Social Interactions Analysis in collaboration with Emory Sociology and Public Health, USC, Kyoto University, and Nara Institute of Science and Technology, thanks to the support of NSF and JST!

August 2021: Starting a new project on PREMED: Privacy-Preserving and Robust Computational Phenotyping using Multisite EHR Data in collaboration with Emory School of Medicine and UTHealth, thanks to the support of NSF!

August 2021: Congratulations to Mani Sotoodeh for successfully defending his PhD dissertation!  Wish him the best at University of Montreal! 

July 2021: Received a Cisco Research Award to work on Machine Learning for Multi-Modal Sensing Technology for Heat Exposure in collaboration with Dr. Vicki Hertzberg from School of Nursing at Emory,

July 2021: Congratulations to Farnaz Tahmasebian, Qiuchen Zhang, and Jing Ma for successfully defending their PhD dissertation!  Wish them the best for their next big adventures in Seattle!

October 2020: Honored to join the team for PREPARE, a virtual oranization supported by NSF for pandemic research for preparedness and resilience.  Together we are stronger!

October 2020: Starting a new planning project on Privacy-enhanced data-driven health monitoring for smart and connected senior communities in collaboration with Kyoto University. 

July 2020: Gave an invited talk on Federated Tensor Factorization at Google Federated Learning and Analytics Workshop.

[Archive of News and Activiities]

Li Xiong is a Professor of Computer Science and 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. She and her research lab, Assured Information Management and Sharing (AIMS), conduct research on algorithms and methods at the intersection of data management, machine learning, and data privacy and security, with a recent focus on privacy-preserving and robust machine learning.  She has published over 160 papers and received six best paper (runner up) awards. She has served and serves as associate editor for IEEE TKDE, IEEE TDSC, and VLDBJ, general co-chair for ACM CIKM 2022, program co-chair for IEEE BigData 2020 and ACM SIGSPATIAL 2018, 2020, program vice-chair for ACM SIGMOD 2022, and IEEE ICDE 2020.  Her research is supported by federal agencies including NSF, NIH, AFOSR, PCORI, and industry awards including Google, IBM, Cisco, AT&T, and Woodrow Wilson Foundation. She is an ACM distinguished member.