Jing Deng

Associate Dean

Dean's Office - Arts and Sciences

Email Address: j_deng@uncg.edu

Phone: 336.334.3973

Dr. Jing Deng was appointed Associate Dean for the College of Arts and Sciences in 2024. He has served most recently as Head of the UNCG Department of Computer Science.

Education

  • Ph.D., Cornell University (Electrical and Computer Engineering), 2002
  • M.E., Tsinghua University (Electronic Engineering), Beijing, P. R. China, 1997
  • B.E., Tsinghua University (Electronic Engineering), Beijing, P. R. China, 1994

Research

Dr. Deng’s research focuses include online social networks, wireless networks, and network security.

More information

  • J. Deng and E. Wang, “Just Enough Disclosure (JED): Taking Advantage of Non-IID Data for Federated Learning in Mobile Edge Computing,” in Proc. of the 6th International Workshop on Data Driven Intelligence for Networks and Systems (DDINS’24), in conjunction with the IEEE International Conference on Communications (ICC’24), June 9-13, 2024, Denver, CO, USA. to appear. [PDF] [BibTeX]
  • F. Chen, P. Li, S. Pan, L. Zhong, and J. Deng, “Giant Could be Tiny: Efficient Inference of Giant Models on Resource-Constrained UAVs,” IEEE Internet of Things Journal Special Issue on Tiny Machine Learning in Internet of Unmanned Aerial Vehicles, 2024, to appear. [PDF] [BibTeX]
  • Y. Long, J. Zhuang, S. Gong, B. Gu, J. Xu, and J. Deng, “Exploiting Deep Reinforcement Learning for Stochastic AoI Minimization in Multi-UAV-assisted Wireless Networks,” in Proc. of IEEE Wireless Communications & Networking Conference, Mobile and Wireless Networks (WCNC ’24), Dubai, United Arab Emirates, April 21-24, 2024. to appear. [PDF] [BibTeX]
  • J. Deng, V. Kolesnikov, and A. A. Schwarzmann, “Cryptology and Network Security – 22nd International Conference, CANS 2023, Augusta, GA, USA, October 31 – November 2, 2023, Proceedings,” Lecture Notes in Computer Science, Springer Singapore, 2023. doi: 10.1007/978-981-99-7563-1. [PDF] [BibTeX]
  • J. Deng, P.-N. Chen, and Y. S. Han, “perMAC: Perturbation-based MAC for Dense Wireless Networks with Periodic Traffic,” in Proc. of the 2023 International Conference on Computing, Networking and Communications (ICNC’23): Mobile and Wireless Networking, Honolulu, HI, USA, February 20-22, 2023, pp. 372-376, doi: 10.1109/ICNC57223.2023.10074191. [PDF] [BibTeX]
  • L. Yao, J. Li, J. Deng, and G. Wu, “Detection of Cache Pollution Attack Based on Federated Learning in Ultra-Dense Network,” Elsevier Computers & Security, vol. 124, pp. 102965, January 2023, doi: 10.1016/j.cose.2022.102965. [PDF] [BibTeX]
  • L. Yao, X. Xu, J. Deng, G. Wu, Z. Li, “A Cooperative Caching Scheme for VCCN with Mobility Prediction and Consistent Hashing,” IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 11, pp. 20230-20242, November 2022. doi: 10.1109/TITS.2022.3171071. [PDF] [BibTeX]