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張宏綱 教授


張宏綱 博士

教授 博導/碩導

電子郵箱：hgzhang@cityu.edu.mo

電話：(853)85902363

辦公地址：澳門城市大學(氹仔)何鴻燊樓S502 B室

 

教育經歷

1999　通信與信息工程 博士, 鹿兒島大學, 日本

1992　自動控制理論及應用 碩士, 蘭州理工大學, 中國

1989　信息工程 學士, 華中科技大學, 中國

 

現任

澳門城市大學數據科學學院教授

 

曾任教科目

通信原理

信號與系統

數據結構與算法設計

軟件無綫電

 

研究方向

認知通信網絡、智聯網、人工智能、智能計算、語義通信、網絡大模型

 

研究及出版

  1. Ying Chen, Rongpeng Li, Zhifeng Zhao, and Honggang Zhang, “Study on Base Station Topology in National Cellular Networks: Take Advantage of Alpha Shapes, Betti Numbers, and Euler Characteristics,” IEEE Systems Journal, June 2019.
  2. Ying Chen, Rongpeng Li, Zhifeng Zhao, and Honggang Zhang, “Fundamentals on Base Stations in Urban Cellular Networks: From the Perspective of Algebraic Topology,” IEEE Wireless Communications Letters, April 2019.
  3. Rongpeng Li, Zhiefeng Zhao, Yi Zhong, Chen Qi, and Honggang Zhang, “The Stochastic Geometry Analyses of Cellular Networks with alpha-Stable Self-Similarity,” IEEE Trans. Communications, March 2019. 
  4. Yuxiu Hua, Zhifeng Zhao, Rongpeng Li, Xianfu Chen, Zhiming Liu, and Honggang Zhang, “Deep Learning with Long Short-Term Memory for Time Series Prediction,” IEEE Communications Magazine, March 2019.
  5. Xianfu Chen, Zhifeng Zhao, Celimuge Wu, Mehdi Bennis, Hang Liu, Yusheng Ji, and Honggang Zhang, “Multi-Tenant Cross-Slice Resource Orchestration: A Deep Reinforcement Learning Approach,” IEEE JSAC (Special Issue on Machine Learning in Wireless Communications), October 2019.
  6. Xing Xu, Zhifeng Zhao, Rongpeng Li, and Honggang Zhang, “Brain-Inspired Stigmergy Learning,” IEEE Access, April 2019.
  7. Chen Qi, Yuxiu Hua, Rongpeng Li, Zhifeng Zhao, and Honggang Zhang, “Deep Reinforcement Learning with Discrete Normalized Advantage Functions for Resource Management in Network Slicing,” IEEE Communications Letters, June 2019.
  8.  Rongpeng Li, Chujie Wang, Zhifeng Zhao, Rongbin Guo, and Honggang Zhang, “The LSTM-based Advantage Actor-Critic Learning for Resource Management in Network Slicing with User Mobility,” IEEE Communications Letters, June 2020.
  9. Rongpeng Li, Zhifeng Zhao, Xing Xu, Fei Ni, and Honggang Zhang, “The Collective Advantage for Advancing Communications and Intelligence,” IEEE Wireless Communications, June 2020.
  10. Ying Chen, Rongpeng Li, Zhifeng Zhao, and Honggang Zhang, “On the Capacity of Fractal D2D Social Networks with Hierarchical Communications,” IEEE Trans. Mobile Computing, February 2020.
  11. Xianfu Chen, Celimuge Wu, Tao Chen, Honggang Zhang, Zhi Liu, Yan Zhang, and Mehdi Bennis, “Age of Information-Aware Radio Resource Management in Vehicular Networks: A Proactive Deep Reinforcement Learning Perspective,” IEEE Trans. Wireless Communications, April 2020.
  12. Yuxiu Hua, Rongpeng Li, Zhifeng Zhao, Xianfu Chen, and Honggang Zhang, “GAN-powered Deep Distributional Reinforcement Learning for Resource Management in Network Slicing,” IEEE JSAC (Special Issue on Leveraging Machine Learning in SDN/NFV-based Networks), February 2020.
  13. Xing Xu, Rongpeng Li, Zhifeng Zhao, and Honggang Zhang, “Stigmergic Independent Reinforcement Learning for Multi-Agent Collaboration,” IEEE Trans. Neural Networks & Learning Systems (TNNLS), January 2021.
  14. Minhao Chen, Rongpeng Li, Jon Crowcroft, Jianjun Wu, Zhifeng Zhao, and Honggang Zhang, “RAN Information-assisted TCP Congestion Control Using Deep Reinforcement Learning with Reward Redistribution,” IEEE Transactions on Communications, October 2021.
  15. Yan Shao, Rongpeng Li, B. Hu, Y. Wu, Zhifeng Zhao, and Honggang Zhang, “Graph Attention Network-based Multi-agent Reinforcement Learning for Slicing Resource Management in Dense Cellular Network,” IEEE Trans. Vehicular Technology, August 2021.
  16. Qingyang Zhou, Rongpeng Li, Zhifeng Zhao, Chenghui Peng, and Honggang Zhang, “Semantic Communication with Adaptive Universal Transformer,” IEEE Wireless Communications Letters, December 2021.
  17. Xianfu Chen, Celimuge Wu, Tao Chen, Zhi Liu, Honggang Zhang, Mehdi Bennis, Hang Liu, and Yusheng Ji, “Information Freshness-Aware Task Offloading in Air-Ground Integrated Edge Computing Systems,” IEEE JSAC (Series on Machine Learning in Communications and Networks), November 2021.
  18. Xing Xu, Rongpeng Li, Zhifeng Zhao, and Honggang Zhang, “Trustable Policy Collaboration Scheme for Multi-Agent Stigmergic Reinforcement Learning,” IEEE Communications Letters, January 2022.
  19. Qingyang Zhou, Rongpeng Li, Zhifeng Zhao, Yong Xiao, and Honggang Zhang, “Adaptive Bit Rate Control in Semantic Communication with Incremental Knowledge-based HARQ,” IEEE Open Journal of the Communications Society, July 2022.
  20. Kun Lu, Qingyang Zhou, Rongpeng Li, Zhifeng Zhao, Xianfu Chen, Jianjun Wu, and Honggang Zhang, “Rethinking Modern Communication from Semantic Coding to Semantic Communication,” IEEE Wireless Communications, May 2022.
  21. Jianhang Zhu, Rongpeng Li, Guoru Ding, Chan Wang, Jianjun Wu, Zhifeng Zhao, and Honggang Zhang, “AoI-based Temporal Attention Graph Neural Network for Popularity Prediction and Content Caching,” IEEE Trans. on Cognitive Communications and Networking, December 2022.
  22. Yuntao Liu, D. Li, Rongpeng Li, Zhifeng Zhao, Y. Zhu, and Honggang Zhang, “Secure and Efficient Stigmergy-Empowered Blockchain Framework for Heterogeneous Collaborative Services in the Internet of Vehicles,” IEEE Communications Magazine, January 2023.
  23. Zhilin Lu, Rongpeng Li, Kun Lu, Xianfu Chen, Ekram Hossain, Zhifeng Zhao, and Honggang Zhang, “Semantics-Empowered Communications: A Tutorial-cum-Survey,” IEEE Communications Surveys & Tutorials, November 2023.  
  24. Xing Xu, Rongpeng Li, Zhifeng Zhao, and Honggang Zhang, “The Gradient Convergence Bound of Federated Multi-Agent Reinforcement Learning with Efficient Communication,” IEEE Trans. on Wireless Communications, June 2023.  
  25. Baidi Xiao, Rongpeng Li, Fei Wang, Chenghui Peng, Jianjun Wu, Zhifeng Zhao, and Honggang Zhang, “Stochastic Graph Neural Network-based Value Decomposition for MARL in Internet of Vehicles,” IEEE Trans. on Vehicular Technology Sept. 2023. 
  26. Bingyan Wang, Rongpeng Li, Jianhang Zhu, Zhifeng Zhao, and Honggang Zhang, “Knowledge Enhanced Semantic Communication Receiver,” IEEE Communications Letters, May 2023.
  27. Yuxuan Chen, Rongpeng Li, Zhifeng Zhao, Chenghui Peng, Jianjun Wu, Ekram Hossain, and Honggang Zhang, “NetGPT: An AI-Native Network Architecture for Provisioning Beyond Personalized Generative Services,” IEEE Network, March 2024.
  28. Yuntao Liu, Q. Huang, Rongpeng Li, Xianfu Chen, Zhifeng Zhao, S. Zhao, Y. Zhu, and Honggang Zhang, “Select2Col: Leveraging Spatial-Temporal Importance of Semantic Information for Efficient Collaborative Perception,” IEEE Transactions on Vehicular Technology, April 2024.
  29. Zhilin Lu, Rongpeng Li, Ming Lei, Chan Wang, Zhifeng Zhao, Honggang Zhang, “Self-critical Alternate Learning-based Semantic Broadcast Communication,” IEEE Trans. on Communications, November 2024.
  30. Siyu Tong, Xiaoxue Yu, Rongpeng Li, Kun Lu, Zhifeng Zhao, and Honggang Zhang, “Alternate Learning-based Sparse Semantic Communications for Visual Transmission,” IEEE Trans. on Wireless Communications, December 2024.

 

學術獎項

  1. 2021, IEEE Communications Society Outstanding Paper Award, (Xianfu Chen, Honggang Zhang, C. Wu, S. Mao, Y. Ji, and M. Bennis, “Optimized Computation Offloading Performance in Virtual Edge Computing Systems via Deep Reinforcement Learning,” IEEE Internet of Things Journal, June 2019)
  2. 2021, IEEE Internet of Things Journal Best Paper Award, (Xianfu Chen, Honggang Zhang, C. Wu, S. Mao, Y. Ji, and M. Bennis, “Optimized Computation Offloading Performance in Virtual Edge Computing Systems via Deep Reinforcement Learning,” IEEE Internet of Things Journal, June 2019)
  3. 12/2012-12/2014, International Chair Professor of Excellence, CominLabs Excellence Center, Université Européenne de Bretagne & Supelec, France
  4. 8/2010-8/2018, Honorary Visiting Professor, University of York, UK
  5. 2021, Outstanding Leadership Award, IEEE Computer Society, ACM, and IEEE TCSC (IEEE Technical Committee on Scalable Computing). Citation: “for Outstanding Contribution as the General Chair of the 2010 IEEE/ACM International Conference on Green Computing and Communications (GreenCom 2010)”

 

專業屬會 

  1. 2024, IEEE (Institute of Electrical and Electronics Engineers), IEEE Fellow, “for contributions to intelligent wireless communications and networks”
  2. 2023, AAIA (Asia-Pacific Artificial Intelligence Association), AAIA Fellow
  3. 2024, AIIA (International Artificial Intelligence Industry Alliance), AIIA Fellow
  4. 2019, 2021 & 2023, European Research Council (ERC), Member of ERC Starting Grant Panel (ERC Starting Grant Panel PE7: Systems and Communication Engineering)
  5. 2011-2012, IEEE Communications Society (ComSoc), Technical Committee on Cognitive Networks (TCCN), Chair
  6. 2014, China Institute of Communications (CIC), Associate Editor-in-Chief (EiC) of China Communications