The Hong Kong University of Science and Technology (Guangzhou)
 
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Research Interests
- Theory and applications of optimization and learning
- AI + communications/networking/signal processing
- Integrated sensing, communication, and computation
- Mobile edge caching/computing/learning/sensing
- Federated learning and distributed learning
- Multimedia (VR, AR, MR, metaverse) transmission
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Research Collaborators
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Vincent Lau, The Hong Kong University of Science and Technology, Hong Kong
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Edmund Yeh, Northeastern University, USA
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Muriel Medard, Massachusetts Institute of Technology, USA
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Stephen Hanly, Macquarie University, Australia
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Giuseppe Caire, Technical University of Berlin, Germany
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Douglas Leith, Trinity College Dublin, Ireland
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Ken Duffy, Hamilton Institute, Ireland
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Kaibin Huang, The University of Hong Kong, Hong Kong
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Bruno Clerckx, Imperial College London, UK
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Sheng Yang, Centrale Supélec, Paris-Saclay University, France
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Shlomo Shamai (Shitz), Technion - Israel Institute of Technology, Israel
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Jemin Lee, Yonsei University, Korea
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Mathematical Tools
- Optimization (convex optimization, nonlinear programming, stochastic optimization, dynamic optimization, Lyapunov optimization, etc.)
- Machine learning, deep learning, reinforcement learning
- Stochastic geometry
- Advanced probability
- Queueing theory