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Professor Hongyang DU

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Professor Hongyang DU
Professor Hongyang DU
Assistant Professor
Ph.D., Nanyang Technological University, Singapore
  3917 5783
  CB-606
Research Interests:
Edge Intelligence; Generative Artificial Intelligence; Computer Networks; Wireless Communications.

Biography

Hongyang Du is currently an assistant professor in the Department of Electrical and Computer Engineering at the University of Hong Kong (HKU), and the Principal Investigator (PI) of the Network Intelligence and Computing Ecosystem (NICE) Lab. The NICE lab focuses on the intersection of artificial intelligence and computer networks, aiming to advance next-generation intelligent networks and distributed AI systems. He obtained his Ph.D. degree in the College of Computing and Data Science at Nanyang Technological University, Singapore. Prior to this, he obtained his B.Eng. degree at Beijing Jiaotong University, China. His research primarily centers around utilizing Generative AI (GenAI) in intelligent networks. The key objective is to explore “how the intelligent networks can support various AI services” and “how GenAI can improve intelligent network performance, security, and reliability”.

This involves exploring the integration of various networking methodologies:

  1. AI for Network:
    • Generative artificial intelligence and network optimization
    • Reinforcement learning and its applications in computer networking systems
    • AI-enabled semantic communications
    • Human-centric AI for user-centric network design
  2. Network for AI:
    • Distributed training and inference of large AI models
    • Next-generation wireless transmission technologies
    • Edge intelligence

Related Links

Selected Publications

  • H. Du et al., “AI-Generated Incentive Mechanism and Full-Duplex Semantic Communications for Information Sharing,” IEEE Journal on Selected Areas in Communications, vol. 41, pp. 2981-2997, Sept. 2023.
  • H. Du et al., “ Semantic Communications for Wireless Sensing: RIS-aided Encoding and Self-supervised Decoding,” IEEE Journal on Selected Areas in Communications, vol. 41, pp. 2547-2562, Aug. 2023.
  • H. Du et al., “Diffusion-based Reinforcement Learning for Edge-enabled AI-Generated Content Services,” IEEE Transactions on Mobile Computing, vol. 23, pp. 8902-8918, Sept. 2024.
  • J. Wang, H. Du et al., “A Unified Framework for Guiding Generative AI with Wireless Perception in Resource Constrained Mobile Edge Networks.” IEEE Transactions on Mobile Computing, vol. 23, pp. 10344 – 10360, Nov. 2024.
  • H. Du et al., “Attention-aware Resource Allocation and QoE Analysis for Metaversex URLLC Services,” IEEE Journal on Selected Areas in Communications, vol. 41, pp. 2158-2175, Jun. 2023.