Staff profile

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

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