Chen Shang

About Me

I am a first-year Ph.D. student at the University of Technology Sydney (UTS), Australia, where I am supervised by Prof. Hoang Dinh and Prof. Diep Nguyen. Before joining UTS, I worked as a Research Assistant at the Hong Kong University of Science and Technology (Guangzhou), China, under the guidance of Dr. Jiadong Yu. Prior to that, I was also a Research Assistant at the Singapore University of Technology and Design (SUTD), Singapore, where I worked with Dr. Wenchao Jiang and Prof. Zehui Xiong.

Research Interests

My research primarily focuses on leveraging advanced deep learning (DL) and machine learning (ML) algorithms to address challenges in wireless communication and related topics, such as Integrated Sensing and Communication (ISAC), wireless sensing, and UAVs. I am also passionate about learning new frameworks, such as generative models, to deepen my understanding of these complex topics.

News

• [Aug. 2025] Our paper “Energy-Efficient Learning-Based Beamforming for ISAC-Enabled V2X Networks” has been accepted by IEEE Globecom 2025.
• [July. 2025] Our paper “Energy-Efficient and Intelligent ISAC in V2X Networks with Spiking Neural Networks-Driven DRL” has been accepted by IEEE Transactions on Wireless Communications (IF=10.7).
• [Jun. 2025] Submitted our paper “Multi-Modal Beamforming with Model Compression and Modality Generation for V2X Networks” to IEEE.
• [Jan. 2025] Our paper “UAV-Assisted Zero Knowledge Model Proof for Generative AI: A Multi-Agent Deep Reinforcement Learning Approach” is accepted by IEEE Internet of Things Journal.
• [Dec. 2024] Submitted our work “Energy-Efficient and Intelligent ISAC in V2X Networks with Spiking Neural Networks-Driven DRL” to IEEE.
• [Oct. 2024] Our paper “Constructing the Metaverse with a New Perspective: UAV FoV-Assisted Low-Latency Imaging”* is accepted by IEEE Wireless Communications Letters.
• [Oct. 2024] Submitted “Biologically-Inspired Technologies: Integrating Brain-Computer Interface and Neuromorphic Computing for Human Digital Twins”* to an IEEE magazine.
• [Aug. 2024] My first paper is accepted by IEEE Wireless Communications Letters. Sincere thanks to all co-authors — this marks the formal beginning of my research journey!

Awards

• [Nov. 2024] IEEE SMC Best Student Paper Award
• [Dec. 2022] First Prize of Science and Technology of China Commerce Federation

Selected Publications

All Publications

Preprints

• [P2] Chen Shang, Dinh Thai Hoang, Jiadong Yu, “Multi-Modal Beamforming with Model Compression and Modality Generation for V2X Networks,” submitted to IEEE Journal.[arxiv]
• [P1] Chen Shang, Jiadong Yu, Dinh Thai Hoang, “Biologically-Inspired Technologies: Integrating Brain-Computer Interface and Neuromorphic Computing for Human Digital Twins,” submitted to IEEE Magazine. [arxiv]

Journals

• [J6] Chen Shang, Jiadong Yu, Dinh Thai Hoang, “Energy-Efficient and Intelligent ISAC in V2X Networks with Spiking Neural Networks-Driven DRL,” IEEE Transactions on Wireless Communications (accepted). (IF=10.7, JCR Q1).[IEEE Link]
• [J5] Min Hao, Chen Shang, Siming Wang, Wenchao Jiang, Jiangtian Nie, “UAV-Assisted Zero Knowledge Model Proof for Generative AI: A Multi-Agent Deep Reinforcement Learning Approach,” IEEE Internet of Things Journal (accepted). (IF=8.2, JCR Q1) [IEEE Link]
• [J4] Chen Shang, Dinh Thai Hoang, Jiadong Yu, Min Hao, Dusit Niyato, “Constructing the Metaverse with a New Perspective: UAV FoV-Assisted Low-Latency Imaging,” IEEE Wireless Communication Letters. (IF=4.6, JCR Q1) [IEEE Link]
• [J3] Chen Shang, Dinh Thai Hoang, Min Hao, Dusit Niyato, Jiadong Yu, “Energy-Efficient Decentralized Federated Learning for UAV Swarms with Spiking Neural Networks and Leader Election Mechanism,” IEEE Wireless Communications Letters, vol. 13, no. 10, pp. 2742-2746, Oct. 2024. (IF=4.6, JCR Q1) [IEEE Link]
• [J2] Xiaoxu Wang, Maoqiang Wu, Min Hao, Chen Shang, Rong Yu, Jiawen Kang, Zehui Xiong, Yuan Wu, “Digital Twin-assisted Safety Control for Connected Automated Vehicles in Mixed-Autonomy Traffics,” IEEE Internet of Things Journal (accepted). (IF=8.2, JCR Q1) [IEEE Link]
• [J1] Zirui Zhang, Min Hao, Xumin Huang, Chen Shang, Rong Yu, Zehui Xiong, Ryan Wen Liu, “Social Attention Network Fused Multi-Patch Temporal-Variable Dependency Based Trajectory Prediction for Internet of Vehicles,” IEEE Internet of Things Journal, vol. 11, no. 19, pp. 32244-32258, Oct. 1, 2024. (IF=8.2, JCR Q1) [IEEE Link]

Conferences

• [C4] Chen Shang, Jiadong Yu, Dinh Thai Hoang, “Energy-Efficient Learning-Based Beamforming for ISAC-Enabled V2X Networks,” IEEE Global Communications Conference 2025 (accepted).
• [C3] Xinren Zhang, Chen Shang, Jiadong Yu, “Rethinking the Reward Design for DRL in Mobile Communication Systems with Generative Diffusion Models,” IEEE International Conference on Communications Workshop (accepted).
• [C2] Yunzhi Zhou, Min Hao, Chen Shang, Yagi Hu, Shengli Xie, Victor Kuzins, “Optimizing Multi-Device Wireless Power Transfer Systems: A Novel Decoupling Strategy with Bipolar Coils,”IEEE International Conference on Computer Science Electronic Information Engineering and Intelligent Control Technology. (IEEE SMC Best Student Paper Awards)
• [C1] Siming Wang, Min Hao, Chen Shang, Wenchao Jiang,“C-V2X aided Vehicular Blockchain Sharding Incentive Mechanism in Vehicular Edge Computing,” IEEE Global Communications Conference 2024 (accepted).