Huaiyu Dai

Biography

Huaiyu Dai received the B.E. and M.S. degrees from Tsinghua University, Beijing, China, in 1996 and 1998, respectively, and the Ph.D. degree from Princeton University, Princeton, NJ in 2002, all in Electrical Engineering.

He has been with NC State University since 2003, now holding the position of Professor and the title of University Faculty Scholar. His research interests include signal processing for communications and networking, network security, and machine learning, with over 280 peer-reviewed journal/conference papers published.

He has served as an Area Editor for IEEE Transactions on Communications, a member of the Executive Editorial Committee for IEEE Transactions on Wireless Communications (TWC), and an Editor for IEEE Transactions on Signal Processing. Currently he serves as an Area Editor for TWC. He has been an Area TPC Chair for IEEE International Conference on Computer Communications (INFOCOM) for 7 years. Previously, he served as a symposium Co-Chair multiple times for IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS), IEEE International Conference on Communications (ICC), and IEEE Global Communications Conference (GLOBECOM). He received Qualcomm Faculty Award, and several best paper awards at IEEE MASS, ICC, and INFOCOM BIGSECURITY Workshop. He is a Fellow of IEEE and Asia-Pacific Artificial Intelligence Association.

Education

• Ph.D. 2002
  Electrical Engineering
  Princeton University, NJ
• Master's 1998
  Electrical Engineering
  Tsinghua University, Beijing
• Bachelor's 1996
  Electrical Engineering
  Tsinghua University, Beijing

Recent Publications

• Privacy-Preserving Decentralized Inference With Graph Neural Networks in Wireless Networks (2024)
• Sign-Based Gradient Descent With Heterogeneous Data: Convergence and Byzantine Resilience (2024)
• TDRA: A Truthful Dynamic Reverse Auction for DAG Task Scheduling Over Vehicular Clouds (2024)
• Base Station Antenna Uptilt Optimization for Cellular-Connected Drone Corridors (2023)
• Blind Post-Decision State-Based Reinforcement Learning for Intelligent IoT (2023)
• CGBA: Curvature-aware Geometric Black-box Attack (2023)
• Channel Rank Improvement in Urban Drone Corridors Using Passive Intelligent Reflectors (2023)
• Decentralized Inference With Graph Neural Networks in Wireless Communication Systems (2023)
• Distributed Learning Over Networks With Graph-Attention-Based Personalization (2023)
• Graph-Represented Computation-Intensive Task Scheduling Over Air-Ground Integrated Vehicular Networks (2023)