kt4ngw

kt4ngw

I'm Jian Tang, M.S. in progress at Chongqing University, China. Thanks for your valuable visit.

Here is Jian Tang.

I am a current M.S. student in the School of Big Data & Software at Chongqing University, Chongqing, China, supervised by Prof. Xiuhua Li.

Prior to Chongqing University, I received my B. S. degree in engineering in June 2022 from Hunan University of Technology and Business.

Any form of collaboration is welcome, so if you are interested in my research, please email me.

Recent News

  • 08/2024: I was honored to be asked to be a reviewer for IEEE Transactions on Cognitive Communications and Networking (IEEE TCCN).
  • 07/2024: Our paper about cache allocation has been submitted to the EAI 6GN for review.
  • 05/2024: Our paper about client selection and bandwidth allocation for federated learning has been submitted to the IEEE TMC for review.
  • 01/2024: Our paper about client sampling for federated learning is accepted by IEEE ICC 2024.
  • 10/2023: Our paper about client sampling for federated learning has been submitted to the IEEE ICC for review.
  • 09/2023: I obtain a class A scholarship for postgraduate of Chongqing University.
  • 01/2023: We achieve the second prize of national undergraduate mathematical contest in modeling of China.

Current Research Interest

My current research interests focus on efficient federated learning on mobile clients or devices in mobile edge computing networks or wireless networks, including but not limited to the following

  • Federated Learning (FL) , Generative Model in FL
  • Large language models (LLM) in Mobile Edge Computing Networks
  • Edge Intelligence / Cloud-Edge Collaboration
  • Machine Learning / Deep Learning

Academic Services

  • Report
    • Report (Online) in IEEE ICC 2024, Denver, CO, USA.
  • Service
    • Reviewer for IEEE TCCN.

Selected Publications

(* denotes equal contribution, # denotes corresponding authors)

Journal

[1] Jian Tang, Xiuhua Li, Hui Li, Penghua Li, Xiaofei Wang, and Victor C. M. Leung, “Joint Class-Balanced Client Selection and Bandwidth Allocation for Cost-Efficient Federated Learning in Mobile Edge Computing Networks”, IEEE Trans. Mob. Comput., 2024. (CCF-A, Major Revision)

[1] Jian Tang, Xiuhua Li, Hui Li, Penghua Li, Xiaofei Wang, and Victor C. M. Leung, “Group-based Federated Learning with Cost-efficient Sampling Mechanism in Mobile Edge Computing Networks”, IEEE Trans. Serv. Comput., 2024. (CCF-A, Under Review)

Conference

[1] Jian Tang, Xiuhua Li, Hui Li, Min Xiong, Xiaofei Wang, and Victor C. M. Leung, “Energy-Efficient Client Sampling for Federated Learning in Heterogeneous Mobile Edge Computing Networks”, Proc. IEEE ICC, 2024, Jul. (CCF-C)

[2] Gang Wang, Guozeng Xu, Jian Tang, Jinlong Hao, Xiuhua Li, Penghua Li, “Deep Reinforcement Learning for Cache Allocation of Multi-Cloud Content Providers in Mobile Edge-Cloud Computing Networks”, Proc. EAI 6GN, 2024, Aug.