Dr Huijun Tang

Biography	I have served as a TPC member for several international conferences, such as IEEE INFOCOM FutureTelecoms 2025, ICCCN 2025, SmartData 2023&2024, ISPA 2024, SustainCom 2024, and ICPADS 2023. I have also reviewed for several academic journals, including IEEE TMC, TITS, TVT, and TCE. Major publications: 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 2022 (ESI Highly Cited Paper (TOP 1%)) 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 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.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%)) 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 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 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
Research Interests	Task offloading, Energy optimization, Carbon optimization in the Internet of Vehicles (IoV) scenarios, Federated Learning for IoV, AI applications in IoV

Biography

I have served as a TPC member for several international conferences, such as IEEE INFOCOM FutureTelecoms 2025, ICCCN 2025, SmartData 2023&2024, ISPA 2024, SustainCom 2024, and ICPADS 2023. I have also reviewed for several academic journals, including IEEE TMC, TITS, TVT, and TCE.

Major publications:

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 2022 (ESI Highly Cited Paper (TOP 1%))

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

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.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%))

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

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

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

Research Interests

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