Staff profile

Dr. Huijun Tang is a Postdoctoral Research Associate in the Department of Engineering at Durham University, UK. She is the recipient of the 2025 IEEE Hyper-Intelligence Technical Committee (HITC) Award for Excellence in Hyper-Intelligence (Early Career Researchers), awarded for her contributions to AI-driven edge computing.

Actively involved in the academic community, she serves as the Co-Coordinator for TC WICE/YP/Student Services for the IEEE Next-Generation Networking And Internet Technical Committee (NGNI TC). Additionally, she serves as a Guest Editor for a Special Issue of the IEEE Internet of Things Magazine , a Session Chair for IEEE INFOCOM ICCN 2025 and IEEE ICWS 2024 , and a reviewer for top-tier journals including IEEE TMC and IEEE TITS. She has served as a Technical Program Committee (TPC) member for several international conferences, such as IEEE INFOCOM FutureTelecoms 2025, ICPADS, ICA3PP, ICCCN, CCGrid, TrustCom, ICCC, SmartData, ISPA, and SustainCom. She also regularly reviews for academic journals, including IEEE TMC, TITS, TVT, and TCE.

Her research interests are in Edge Computing, Internet of Vehicles (IoV), Communication Optimization, and Deep Learning. She has published over 20 papers in top-tier journals and conferences such as IEEE TMC, TWC, TITS, INFOCOM, and IJCAI, with two of her works recognized as ESI Highly Cited Papers (Top 1%).

Major publications:

H. Tang, M. Du, H. Wu, P. Jiao and R. Li, TLCO: Topological Link-Aware Task Co-Offloading Method for Joint V2V and V2I System, IEEE Transactions on Intelligent Transportation Systems. 2025

H. Tang, J. Zhang, Z. Zhao, H. Wu, H. Sun and P. Jiao, Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands, IEEE Transactions on Wireless Communications. 2025

H Tang, C Liu, J Liu, H Sun, P Jiao and H Wu, DRL-based Carbon Emission Optimization Method for the Vehicular Reverse Offloading System, IEEE/CIC International Conference on Communications in China (ICCC), 2025

H. Tang, M. Du, P. Jiao, H. Wu and Z. Zhao. HyperRole: Hyperbolic Graph Transformer for Role Discovery in Online Social Networks. IEEE International Conference on Computer Communications (INFOCOM) 2025

H Shi, R Wang, C Pan, F Gao, H Tang, L Chen, Diffusion Model Enhanced Deep Reinforcement Learning for Traffic Control in 6G Networks, IEEE Communications Magazine, 2025

S. Lei, H. Tang, C. Li, X. Zhang, C. Xu and H. Wu, Federated MADDPG-based Collaborative Scheduling Strategy in Vehicular Edge Computing, IEEE Transactions on Mobile Computing, 2025

H. Wu, J. Du, H. Tang, P. Jiao and R. Li, A Lyapunov-Guided Task Offloading Approach for Backscatter Communication Assisted Edge Computing. IEEE International Conference on Computer Communications workshop(INFOCOM workshop) 2025

H. Tang, M. Du, H. Wu and P. Jiao. Link Topology-Adaptive Offloading Method On Vehicular Edge Computing. IEEE International Conference on Computer Communications Poster(INFOCOM Poster) 2024

Y. Liang, H. Tang, H. Wu, Y. Wang and P. Jiao, Lyapunov-Guided Offloading Optimization Based on Soft Actor-Critic for ISAC-Aided Internet of Vehicles, IEEE Transactions on Mobile Computing 2024 

H. Wu, L. Tian, H. Tang, R. Li and P. Jiao, Graph Convolutional Reinforcement Learning-Guided Joint Trajectory Optimization and Task Offloading for Aerial Edge Computing, IEEE Transactions on Intelligent Transportation Systems 2024

H. Tang, H. Wu, G. Qu and R. Li, Double Deep Q-Network based Dynamic Framing Offloading in Vehicular Edge Computing, IEEE Transactions on Network Science and Engineering 2023 (ESI Highly Cited Paper (TOP 1%))

H. Tang, H. Wu, Y. Zhao and R. Li, Joint Computation Offloading and Resource Allocation Under Task-Overflowed Situations in Mobile-Edge Computing, IEEE Transactions on Network and Service Management, 2022

H. Wu, J. Chen, T. Nguyen and H.Tang, Lyapunov-Guided Delay-Aware Energy-Efficient Offloading in IoT-Edge Systems, IEEE Transactions on Industrial Informatics 2022 (ESI Highly Cited Paper (TOP 1%))

A. Gu, H. Wu, H. Tang and C. Tang. Deep Reinforcement Learning-Guided Task Reverse Offloading in Vehicular Edge Computing. IEEE Global Communications (GLOBECOM) 2022

• Task offloading, Energy optimization, Carbon optimization in the Internet of Vehicles (IoV) scenarios, Federated Learning for IoV, AI applications in IoV

Conference Paper

• Bi-Level Low-Carbon Scheduling of Active Distribution Networks with Multiple Technical Virtual Power Plants in the Integrated Electricity and Carbon Markets
  
  Liu, J., Ruan, J., Tang, H., Kazemtabrizi, B., Du, H., Matthews, P. C., & Sun, H. (2025). Bi-Level Low-Carbon Scheduling of Active Distribution Networks with Multiple Technical Virtual Power Plants in the Integrated Electricity and Carbon Markets. In 2025 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe). IEEE. https://doi.org/10.1109/ISGTEurope64741.2025.11305692
• DRL-based Carbon Emission Optimization Method for the Vehicular Reverse Offloading System
  
  Tang, H., Liu, C., Liu, J., Sun, H., Jiao, P., & Wu, H. (2025). DRL-based Carbon Emission Optimization Method for the Vehicular Reverse Offloading System. In 2025 IEEE/CIC International Conference on Communications in China (ICCC). IEEE. https://doi.org/10.1109/ICCC65529.2025.11149055

Journal Article

• Joint Optimization based on Two-phase GNN in RIS-and DF-assisted MISO Systems with Fine-grained Rate Demands
  
  Tang, H., Zhang, J., Zhao, Z., Wu, H., Sun, H., & Jiao, P. (2025). Joint Optimization based on Two-phase GNN in RIS-and DF-assisted MISO Systems with Fine-grained Rate Demands. IEEE Transactions on Wireless Communications. Advance online publication. https://doi.org/10.1109/TWC.2025.3576298