Publications
Working Papers
Zihao Hu, Jia Yan*, Angela Yingjun Zhang, Jun Zhang, and Khaled B. Letaief, “ Optimal Transceiver Design in Over-the-Air Federated Distillation”, submitted to IEEE Transactions on Wireless Communications.
Journal Papers
Zihao Hu, Jia Yan*, and Angela Yingjun Zhang, “Communication-Learning Co-Design for Differentially Private Over-the-Air Federated Learning with Device Sampling”, accepted by IEEE Transactions on Wireless Communications.
Hang Liu, Jia Yan*, and Angela Yingjun Zhang, “Differentially Private Over-the-Air Federated Learning Over MIMO Fading Channels”, IEEE Transactions on Wireless Communications, vol. 23, no. 8, pp. 8232-8247, Aug. 2024.
Jia Yan, Qin Lu, and Georgios B. Giannakis, “Bayesian Optimization for Online Management in Dynamic Mobile Edge Computing”, IEEE Transactions on Wireless Communications, vol. 23, no. 4, pp. 3425-3436, April 2024.
Jia Yan, Suzhi Bi, and Angela Yingjun Zhang, “Optimal Model Placement and Online Model Splitting for Device-Edge Co-Inference”, IEEE Transactions on Wireless Communications, vol. 21, no. 10, pp. 8354-8367, October 2022.
Jia Yan, Suzhi Bi, Lingjie Duan, and Angela Yingjun Zhang, “Pricing-Driven Service Caching and Task Offloading in Mobile Edge Computing”, IEEE Transactions on Wireless Communications, vol. 20, no. 7, pp. 4495-4512, July 2021.
Jia Yan, Suzhi Bi, and Angela Yingjun Zhang, “Offloading and Resource Allocation With General Task Graph in Mobile Edge Computing: A Deep Reinforcement Learning Approach”, IEEE Transactions on Wireless Communications, vol. 19, no. 8, pp. 5404-5419, August 2020. (IEEE TWC Popular Article in Aug., Sept. 2020)
Jia Yan, Suzhi Bi, Angela Yingjun Zhang, and Meixia Tao, “Optimal Task Offloading and Resource Allocation in Mobile-Edge Computing with Inter-User Task Dependency”, IEEE Transactions on Wireless Communications, vol. 19, no. 1, pp. 235-250, January 2020. (IEEE TWC Popular Article in Jan., Mar., May, Jul., Aug. 2020)
Jia Yan, and Yuan Liu, “A Dynamic SWIPT Approach for Cooperative Cognitive Radio Networks”, IEEE Transactions on Vehicular Technology, vol. 66, no. 12, pp. 11122-11136, December 2017.
Conference Papers
Jia Yan, Qin Lu and Konstantinos D. Polyzos“Adaptive Bayesian Optimization for Online Management in Mobile Edge Computing”, 2024 IEEE 13th Sensor Array and Multichannel Signal Processing Workshop (SAM), Corvallis, OR, USA, July 2024.
Zihao Hu, Jia Yan, Angela Yingjun Zhang, Jun Zhang, and Khaled B. Letaief “Communication-Learning Co-Design for Over-the-Air Federated Distillation”, IEEE Vehicular Technology Conference (VTC)2024-Spring, Singapore, June 2024.
Hang Liu, Jia Yan, and Angela Yingjun Zhang, “On the Privacy Leakage of Over-the-Air Federated Learning Over MIMO Fading Channels”, IEEE Global Communications Conference(GLOBECOM), Kuala Lumpur, Malaysia, December 2023.
Zihao Hu, Jia Yan, and Angela Yingjun Zhang, “Towards Differentially Private Over-the-Air Federated Learning via Device Sampling”, IEEE Global Communications Conference(GLOBECOM), Kuala Lumpur, Malaysia, December 2023.
Shijian Gao, Jia Yan, and Georgios B. Giannakis, “Integrated Distributed Wireless Sensing with Over-the-Air Federated Learning”, in IEEE International Geoscience and Remote Sensing Symposium(IGARSS), Pasadena, California, USA, July 2023. (Invited Paper)
Jia Yan, Qin Lu, and Georgios B. Giannakis, “Bayesian Optimization for Task Offloading and Resource Allocation in Mobile Edge Computing”, in IEEE 56th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, California, USA, October 2022.
Jia Yan, Suzhi Bi, Liang Huang, and Angela Yingjun Zhang, “Deep Reinforcement Learning Based Offloading for Mobile Edge Computing with General Task Graph”, in IEEE international Conference on Communications(ICC), Dublin, Ireland, June, 2020.
Jia Yan, Suzhi Bi, and Angela Yingjun Zhang, “Optimal Offloading and Resource Allocation in Mobile-Edge Computing with Inter-User Task Dependency”, in IEEE Global Communications Conference(GLOBECOM), Abu Dhabi, UAE, December, 2018.
Jia Yan, and Yuan Liu, “Dynamic Energy Harvesting in Cooperative Cognitive Radio Networks”, in IEEE Global Communications Conference(GLOBECOM), Washington DC, USA, December, 2016.