Dr. Liyue Fan is an Assistant Professor in Computer Science in the College of Computing and Informatics at the University of North Carolina at Charlotte. Her research is at the intersection of data privacy and spatio-temporal databases (see list of publications here). She was named one of the "Rising Stars in EECS" by MIT in 2015.
Prior to joining UNC Charlotte, Dr. Fan was an Assistant Professor in Information Technology Management at University at Albany. She spent two years as a postdoc research associate in the Integrated Media System Center at University of Southern California, under the supervision of Prof. Cyrus Shahabi. She received a Ph.D. in Computer Science & Informatics from Emory University (with Prof. Li Xiong) and a B.S.in Mathematics from Zhejiang University (a Chu Kochen ACEE alumna).
Dr. Fan serves the professional community as a PC member for SIGMOD, KDD, ICDM, CIKM, SIGSPATIAL, etc., and as a reviewer for many high impact journals, such as TKDE, TIST, TIFS, TMC, DAPD, and Computer & Security. See CV for complete service record.
Prospective students: see information here.
I am very grateful for the support of:
[July 2021] Our paper on "Differentially Private Network Traffic Synthesis with Generative Adversarial Networks" has been accepted at DBSec 2021.
[May 2021] Our undergraduate student Nick won Best Poster (Math/CS theme) at UNCC Undergraduate Conference.
[March 2021] Dr. Fan will be teaching grad course "Data Privacy" in Fall 2021 (DSBA6010, ITCS6010 / 8010, ITIS6220 / 8220).
[Jan 2021] Our paper with USC on "Clustering Mixed-Type Data With Correlation-Preserving Embedding" has been accepted at DASFAA 2021.
[Jan 2021] Check out our new JBI paper with UCSD and UTHealth on "Noise-tolerant similarity search in temporal medical data".
[June 2020] Dr. Fan presented "Geopriv4j: An Open Source Repository for Location Privacy" at GeoRich'20. Presentation
[Apr 2020] Undergraduate students Amanda Theobald and Rohan Sitapara featured at the Undergraduate Research Conference.
[Feb 2020] Dr. Fan presented "A Survey of Differentially Private Generative Adversarial Networks" at PPAI'20 workshop.