News
[2024-11] One paper has been accepted by IEEE TMC.
[2024-10] Two papers have been accepted by IEEE TCC and SECON 2024.
[2024-09] One paper has been accepted by IEEE/ACM ToN.
[2024-08] One paper has been accepted by VTC2024-Fall.
[2024-06] One paper has been accepted by IEEE TPDS.
[2024-05] Three papers have been accepted by IEEE Network, QCNC 2024, ICCCN 2024, respectively.
[2024-04] One paper has been accepted by IEEE TNSE.
[2023-08] Join Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences.
[2023-06] One paper has been accepted by JCST.
[2023-06] One paper has been accepted by ICPP 2023.
[2023-04] One paper has been accepted by ICCCN 2023.
[2023-04] Awarded for Scott Hibbs Future of Computing Award, Computer & Information Sciences, Temple University.
[2022-11] Awarded for Outstanding Research Assistant Award, Temple University.
Publication
Selected Journal Papers
• X. Wei, X. Gao, K. Ye, C. Xu, Y. Wang. "A Quantum Reinforcement Learning Approach for Joint Resource Allocation and Task Offloading in Mobile Edge Computing", IEEE Transactions on Mobile Computing, Nov. 2024 (Early Access). [Link]
• J. Liu, X. Liu, X. Wei, H. Gao, Y. Wang, "Group Formation and Sampling in Group-based Hierarchical Federated Learning", IEEE Transactions on Cloud Computing, Oct. 2024 (Early Access). [Link]
• X. Wei, L. Fan, Y. Guo, Z. Han, Y. Wang, "Entanglement from Sky: Optimizing Satellite-based Entanglement Distribution for Quantum Networks", IEEE/ACM Transactions on Networking, Sep. 2024 (Early Access). [Link]
• X. Wei, K. Ye, X. Shi, C. Xu, Y. Wang, "Joint Participant and Learning Topology Selection for Federated Learning in Edge Clouds", IEEE Transactions on Parallel and Distributed Systems, Jun. 2024, 35(8): 1456-1468. [Link]
• X. Wei, J. Liu, L. Fan, Y. Guo, Z. Han, Y. Wang, "Optimal Entanglement Distribution Problem in Satellite-based Quantum Networks", IEEE Network, May 2024 (Early Access). [Link]
• X. Wei, L. Fan, Y. Guo, Y. Gong, Z. Han, Y. Wang, "Hybrid Quantum-Classical Benders' Decomposition for Federated Learning Scheduling in Distributed Networks", IEEE Transactions on Network Science and Engineering, Nov.-Dec. 2024, 11(6): 6038-6051. [Link]
• X. Wei, J. Liu, Y. Wang, "Joint Participant Selection and Learning Optimization for Federated Learning of Multiple Models in Edge Cloud", Journal of Computer Science and Technology, Jul. 2023, 38(4): 754-772. [Link]
• X. Wei, ABM M. Rahman, D. Cheng, Y. Wang, "Joint Optimization across Timescales: Resource Placement and Task Dispatching in Edge Clouds", IEEE Transactions on Cloud Computing, Jan.-Mar. 2023, 11(1): 730-744. [Link]
• X. Wei and Y. Wang, "Popularity-based Data Placement with Load Balancing in Edge Computing", IEEE Transactions on Cloud Computing, Jan.-Mar. 2023, 11(1): 397-411. [Link]
Selected Conference Papers
• J. Liu, X. Liu, X. Wei, Y. Wang, "Topology Design with Resource Allocation and Entanglement Distribution for Quantum Networks", in Proc. of IEEE 21st International Conference on Sensing, Communication, and Networking (SECON), Phoenix, AZ, USA, Dec. 2024.
• X. Liu, J. Liu, X. Wei, Y. Wang. "Incentive Mechanism Design in Semi-Asynchronous Blockchain-based Federated Learning", in Proc. of IEEE 100th Vehicular Technology Conference (VTC2024-Fall), Washington DC, USA, Aug. 2024.
• X. Wei, L. Fan, Y. Guo, Z. Han, Y. Wang. "Optimizing Satellite-based Entanglement Distribution in Quantum Networks via Quantum-Assisted Approaches", in IEEE International Conference on Quantum Communications, Networking, and Computing (QCNC), Kanazawa, Japan, Jul. 2024. [Link]
• X. Wei, J. Liu, L. Fan, Y. Guo, Z. Han, Y. Wang. "Hybrid Quantum-Classical Computing via Dantzig-Wolfe Decomposition for Integer Linear Programming", in IEEE 33rd International Conference on Computer Communications and Networks (ICCCN), Big Island, Hawaii, USA, Jul. 2024. [Link]
• J. Liu, X. Wei, H. Gao, Y. Wang. "Group-based Hierarchical Federated Learning: Convergence, Group Formation, and Sampling", in The International Conference on Parallel Processing (ICPP), New York, NY, USA, Aug. 2023. [Link]
• X. Wei, L. Fan, Y. Guo, Y. Gong, Z. Han, Y. Wang. "Quantum Assisted Scheduling Algorithm for Federated Learning in Distributed Networks", in IEEE 32nd International Conference on Computer Communications and Networks (ICCCN), Honolulu, HI, USA, Jul. 2023. [Link]
• X. Wei, J. Liu, X. Shi, Y. Wang. "Participant Selection for Hierarchical Federated Learning in Edge Clouds", in 16th IEEE International Conference on Networking, Architecture, and Storage (NAS), Philadelphia, PA, USA, Oct. 2022. [Link]
• X. Wei, J. Liu, Y. Wang, "Joint Participant Selection and Learning Scheduling for Multi-Model Federated Edge Learning", in 19th IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS), Denver, CO, USA, Oct. 2022. [Link]
• ABM M. Rahman, Y. Cao, X. Wei, P. Wang, F. Li and Y. Wang, "PPGSign: Handwritten Signature Authentication using Wearable PPG Sensor," in 2022 IEEE Wireless Communications and Networking Conference (WCNC), Austin, TX, USA, Apr. 2022. [Link]
• ABM M. Rahman, Y. Cao, X. Wei, P. Wang, F. Li and Y. Wang, " On the Feasibility of Handwritten Signature Authentication Using PPG Sensor," in 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA, Jan. 2022, poster. [Link]
• X. Wei and Y. Wang, "Joint Resource Placement and Task Dispatching in Mobile Edge Computing across Timescales", in IEEE/ACM 29th International Symposium on Quality of Service (IWQoS), Virtual, Jun. 2021. [Link]
• X. Wei, ABM M. Rahman, Y. Wang, “Data Placement Strategies for Data-Intensive Computing over Edge Clouds", in IEEE 40th International Performance Computing and Communications Conference (IPCCC), Virtual, Oct. 2021. [Link]
Teaching Experiences
Teaching Assistant
• CIS3342, Server-Side Web Application Development, Temple University, 2019-2021.
• CIS3344, Client-Side Scripting for Web, Temple University, 2020.
Mentor of Final Year Project (CIS4397)
• Jackie Gan, "The survey and framework design of vertical federated learning", Undergraduate, Temple University, 2022.
• Qinghua Lu, "Data Collection from Real Systems for Edge Computing Simulation", Undergraduate, Temple University, 2020.
Skills and Interests
* Enjoy traveling, music and movies
* Excellent ability in program language, such as Python, C, C++, Java, C#, etc.
* Good ability in Web design (HTML, CSS, JavaScript), Microsoft Office, Latex
Copyright © 2024. Xinliang Wei All rights reserved.