B.S., Computer Science, Beijing Institute of Technology, 2001
M.S., Computer Science, University of Minnesota, 2003
Ph.D., Computer Science, University of Minnesota, 2005
Privacy-aware computing, Internet of Things, social networks, wireless networking
Dr. Yingshu Li is a Professor and Director of Graduate Studies in the Department of Computer Science at Georgia State University. Her research interests include privacy-aware computing, Internet of Things, social networks, and wireless networking. Dr. Li is the recipient of an NSF CAREER award. She has published more than 150 papers in top-ranked journals and conferences, such as ACM/IEEE Transactions, IEEE Communications Magazine, IEEE Internet of Things Journal, IEEE Network magazine, INFOCOM, and ICDCS. Dr. Li’s papers have been cited more than 7,000 times. Dr. Li has served as an associate/guest editor for several prestigious journals, including ACM Transactions on Sensor Networks, IEEE Transactions on Computers, and IEEE Internet of Things Journal. Dr. Li was the steering committee co-chair for WASA, general vice-co-chair for IPCCC, general chair for SocialCom, and program co-chair for around 10 international conferences, including IPCCC and COCOA. Dr. Li regularly serves as a technical program committee member for many renowned conferences, such as INFOCOM, ICDCS, MASS, and CIKM. Dr. Li was the Fellowship Co-Chair for N2Women (Networking Networking Women), which is a community with over 1,500 researchers in the communications and networking research fields. Around 15 Ph.D. students and 20 master’s students have graduated under Dr. Li’s supervision. Most of her Ph.D. graduates are now tenure-track faculty members in decent universities.
[TOSN] T. Zhu, J. Li, H. Gao, and Y. Li, Broadcast scheduling in battery-free wireless sensor networks, accepted by ACM Transactions on Sensor Networks, 2019.
[TMC] Q. Chen, H. Gao, L. Cheng, and Y. Li, Label coloring based beaconing schedule in duty-cycled multihop wireless networks, accepted by IEEE Transactions on Mobile Computing, 2019.
[TCSS] M. Siddula, Y. Li, X. Cheng, Z. Tian, and Z. Cai, Anonymization in online social networks based on enhanced equi-cardinal clustering, IEEE Transactions on Computational Social Systems, vol. 6, no. 4, 2019, pp. 809–820. DOI: 10.1109/TCSS.2019.2928324
[MNET] Y. Liang, Z. Cai, J. Yu, Q. Han, and Y. Li, Deep learning based inference of private information using embedded sensors in smart devices, IEEE Network, vol. 32, no. 4, 2018, pp. 8–14. DOI: 10.1109/MNET.2018.1700349
[TON] T. Shi, S. Cheng, Z. Cai, Y. Li, and J. Li, Exploring connected dominating sets in energy-harvest networks, IEEE/ACM Transactions on Networking, vol. 25, no. 3, 2017, pp. 1803–1817. DOI: 10.1109/TNET.2017.2657688