Xiangchun Chen

Ph.D. Candidate

Department of Computing (COMP)
Faculty of Engineering
The Hong Kong Polytechnic University

Office:PQ 503, PQ Wing, PolyU, Hung Hom, Hong Kong.
Email:[xiang-chun.chen AT connect.polyu.hk]
Google Scholar

My Full CV

Short Bio

Xiangchun Chen is a PhD candidate in Department of Computing, The Hong Kong Polytechnic University , supervised by Prof. Cao Jiannong. Previously, he received the Bachelor Degree of Computer Science and Technology from Faculty of Computing, Harbin Institute of Technology in 2021.

His research interests lie in edge AI, edge computing, digital twin, and reinforcement learning.

Education Background

• Ph.D.:  Hong Kong Polytechnic University,  Hong Kong, China. Aug. 2021 - Now
  Supervisor: Prof. Cao Jiannong, IEEE Fellow.
  

• Visiting Scholar:  National Institute of Informatics,  Tokyo, Japan. Oct. 2024 - Mar. 2025
  Supervisor: Prof. Ji Yusheng, IEEE Fellow.
  

• B.E.:  Harbin Institute of Technology,  Harbin, China. Sep. 2017 - Jul. 2021
  

Papers

Publications

• [TMC]  Mobility-aware Dependent Task Offloading in Edge Computing: A Digital Twin-assisted Reinforcement Learning Approach,
  Xiangchun Chen, Jiannong Cao, Yuvraj Sahni, Mingjin Zhang, Zhixuan Liang, and Lei Yang.
  in IEEE Transactions on Mobile Computing, 2024.
  (CCF A).
  

• [TCC]  Dynamic Task Offloading in Edge Computing based on Dependency-aware Reinforcement Learning,
  Xiangchun Chen, Jiannong Cao, Yuvraj Sahni, Shan Jiang, and Zhixuan Liang.
  in IEEE Transactions on Cloud Computing, 2024.
  (JCR Q1).
  

• [ICNC]  Resource-efficient Parallel Split Learning in Heterogeneous Edge Computing,
  Mingjin Zhang, Jiannong Cao, Yuvraj Sahni, Xiangchun Chen, Shan Jiang,
  in the International Conference on Computing, Networking and Communication (ICNC 2024), 2024.
  

• [MASS]  Digital Twin-assisted Reinforcement Learning for Dynamic Microservice Offloading in Edge Computing,
  Xiangchun Chen, Jiannong Cao, Zhixuan Liang, Yuvraj Sahni, and Mingjin Zhang.
  in IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems (MASS '23), 2023.
  (CCF-C).
  

Teaching Experience

• Teaching Assistant, Metaverse Applications: Design And Case Studies, Spring 2024.

• Teaching Assistant, Programming Fundamentals and Applications, Fall 2023.

• Teaching Assistant, Computer Networking, Spring 2023.

• Teaching Assistant, Programming Fundamentals and Applications, Fall 2022.

• Teaching Assistant, Programming Fundamentals, Spring 2022.

• Teaching Assistant, Computer Programming, Fall 2021.

Academic Service

PC Member/Journal Reviewer

• Reviewer for IEEE Transactions on Mobile Computing (IEEE TMC)

• Reviewer for IEEE Internet of Things Journal (IEEE IOT-J)

• Reviewer for ACM Transactions on Intelligent Systems and Technology (ACM TIST)

• Reviewer for IEEE Computer Software and Applications Conference (COMPSAC)

Selected Honors

• Postgraduate Studentship, HKPolyU.
  Awarded by Hong Kong Polytechnic University, 2021-2025.
• Ren-Min Scholarship.
  Awarded by Harbin Institute of Technology, 2019-2020.

Sponsors/Collaborators

I sincerely thank these sponsors/collaborators for providing great support for my research.


        

News

• [11/2024] Congratulations! Our paper "Mobility-aware Dependent Task Offloading in Edge Computing: A Digital Twin-assisted Reinforcement Learning Approach" has been accepted at IEEE Transactions on Mobile Computing！

• [03/2024] Congratulations! Our paper "Dynamic Task Offloading in Edge Computing based on Dependency-aware Reinforcement Learning" has been accepted at IEEE Transactions on Cloud Computing！

• [06/2023] Pass PhD confirmation as a PhD candidate.

• [06/2023] Congratulations! Our paper "Digital Twin-assisted Reinforcement Learning for Dynamic Microservice Offloading in Edge Computing" has been accepted at the 2023 IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems (MASS)！

• [08/2021] Join IMCL Lab as a PhD student.

• [06/2021] Get B.S. Degree from Harbin Institute of Technology.