News
[2024-04] One paper accepted by TNSE.
[2023-08] Join Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences.
[2023-06] One paper accepted by JCST.
[2023-06] One paper accepted by ICPP 2023.
[2023-04] One paper 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 (RA), Temple University.
[2022-10] Present paper "Joint Participant Selection and Learning Scheduling for Multi-Model Federated Edge Learning" in MASS 2022.
[2022-10] Present paper "Participant Selection for Hierarchical Federated Learning in Edge Clouds" in NAS 2022.
[2022-07] One paper accepted by MASS 2022.
[2022-07] One paper accepted by NAS 2022.
Publication
Selected Journal Papers
• 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, 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, 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, 2023, 11(1), 397-411. [Link]
• X. Wei and W. Sun. "Architecture and Implementation of 3D Engine Based on WebGL", Applied Mathematics, 2016, 7(7), 701-708. [Link]
• X. Wei and W. Sun. "Review of Three-Dimensional Graphics Engine", Computer Science and Application, 2015, (8), 297-312. [Link]
Selected Conference Papers
• 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, 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 2022), Philadelphia, PA, USA, 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 2022), Denver, CO, USA, 2022. [Link]
• ABM M. Rahman, Y. Cao, X. Wei, P. Wang, F. Li and Y. Wang, "PPGSign: Handwritten Signature Authentication using Wearable PPG Sensor," 2022 IEEE Wireless Communications and Networking Conference (WCNC), Austin, TX, USA, 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," 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA, 2022, poster. [Link]
• X. Wei and Y. Wang, "Joint Resource Placement and Task Dispatching in Mobile Edge Computing across Timescales", IEEE/ACM 29th International Symposium on Quality of Service (IWQoS), Tokyo, Japan, 2021. [Link]
• X. Wei, ABM M. Rahman, Y. Wang, “Data Placement Strategies for Data-Intensive Computing over Edge Clouds", IEEE 40th International Performance Computing and Communications Conference (IPCCC), Austin, TX, USA, 2021. [Link]
• X. Wei, X. Wan, S. Huang, W. Sun. "The Application of Motion Capture and 3D skeleton Modeling in Virtual Fighting", AniNex 2017, LNCS (Lecture Notes in Computer Science), 2017. [Link]
• X. Wei and W. Sun. "3D scene rendering based on EEG data driven and the application in biofeedback therapy", 2016 International Conference on Artificial Intelligence: Technologies and Applications, 2015, 112-115. [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.