Yuxuan Jiang

Journal and Magazine Articles

• 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.

• F. Li, Q. Ye, E. T. Fapi, W. Sun, and Y. Jiang, “Multi-Cell Over-the-Air Computation Systems with Spectrum Sharing: A Perspective from α-Fairness,” in IEEE Transactions on Vehicular Technology, vol. 72, no. 12, pp. 16249-16265, December 2023.

• B. Sun*, Y. Jiang*, Y. Wu, Q. Ye, and D.H.K. Tsang, “Performance Analysis of Mobile Cloud Computing with Bursty Demand: A Tandem Queue Model,” in IEEE Transactions on Vehicular Technology, vol. 71, no. 9, pp. 9951-9966, September 2022. (*: equal contribution)

• Y. Jiang, Q. Ye, B. Sun, Y. Wu, and D.H.K. Tsang, “Data-Driven Coordinated Charging for Electric Vehicles with Continuous Charging Rates: A Deep Policy Gradient Approach,” in IEEE Internet of Things Journal, vol. 9, no. 14, pp. 12395-12412, July 15, 2022.

• Y. Jiang, B. Sun, and D.H.K. Tsang, “Not Taken for Granted: Configuring Scalable Live Video Streaming Under Throughput Fluctuations in Mobile Edge Networks,” in IEEE Transactions on Vehicular Technology, vol. 70, no. 3, pp. 2771-2782, March 2021.

• 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, Z. Huang, and D.H.K. Tsang, “On Power-Peak-Aware Scheduling for Large-Scale Shared Clusters,” in IEEE Transactions on Big Data, vol. 6, no. 2, pp. 412-426, June 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.
  

Conference Papers

• F. Li, Q. Ye, E.T. Fapi, W. Sun, and Y. Jiang, “Utility Optimization for Over-the-air Computation Systems with Spectrum Sharing,” in Proceedings of the IEEE International Conference on Communications (ICC), pp. 2126-2131, Seoul, South Korea, May 16-20, 2022.

• B. Sun, Y. Jiang, and D.H.K. Tsang, “When Burstable Instances Meet Mobile Computing: Performance Modeling and Economic Analysis,” in Proceedings of the 40th IEEE International Conference on Distributed Computing Systems (ICDCS), pp. 1179-1180, Singapore, November 29-December 1, 2020.

• Y. Jiang, K. Nihei, J. Li, H. Yoshida, and D. Kanetomo, “Learning on the Fly: An RNN-Based Online Throughput Prediction Framework for UAV Communications,” in Proceedings of the IEEE International Conference on Communications Workshops (ICC Workshops), pp. 1-7, Dublin, Ireland, June 7-11, 2020.

• 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 Proceedings of the 38th IEEE International Conference on Computer Communications (INFOCOM), pp. 1576-1584, Paris, France, April 29-May 2, 2019. (Story about the paper)

• Y. Jiang, Z. Huang, and D.H.K. Tsang, “Do You Feel the Lag of Your Hadoop?” in Proceedings of the 1st IEEE International Conference on Big Data Computing Service and Applications (BigDataService), pp. 115-119, Redwood City, CA, USA, March 30-April 2, 2015.