Yuxuan Jiang
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Lead Inventive Scientist |
Research Interests
Optimization, incentives, and learning for networking and distributed systems, with a focus on next-generation wireless networks.
Some Publications
Y. Jiang, Q. Ye, E. T. Fapi, W. Sun, and, F. Li, “Workload Allocation for Distributed Coded Machine Learning: From Offline Model-Based to Online Model-Free,” in IEEE Internet of Things Magazine, vol. 7, no. 4, pp. 100-106, July 2024.
Y. Jiang, M. Shahrad, D. Wentzlaff, D.H.K. Tsang, and C. Joe-Wong, “Burstable Instances for Clouds: Performance Modeling, Equilibrium Analysis, and Revenue Maximization,” in IEEE/ACM Transactions on Networking, vol. 28, no. 6, pp. 2489-2502, December 2020.
Y. Jiang and D.H.K. Tsang, “Delay-Aware Task Offloading in Shared Fog Networks,” in IEEE Internet of Things Journal, vol. 5, no. 6, pp. 4945-4956, December 2018.
Y. Jiang, Z. Huang, and D.H.K. Tsang, “Challenges and Solutions in Fog Computing Orchestration,” in IEEE Network, vol. 32, no. 3, pp. 122-129, May-June 2018.
Y. Jiang, Z. Huang, and D.H.K. Tsang, “Towards Max-Min Fair Resource Allocation for Stream Big Data Analytics in Shared Clouds,” in IEEE Transactions on Big Data, vol. 4, no. 1, pp. 130-137, March 2018.
