Huaiyu Dai
Electrical and Computer Engineering
- Phone: 919-513-0299
- Email: hdai@ncsu.edu
- Office: Engineering Building II (EB2) 2108
- Website: https://www.ece.ncsu.edu/people/hdai/
Huaiyu Dai is a professor in the Electrical and Computer Engineering Department at NC State University.
Website
Research Interests
Communications and Signal Processing
Education
| Degree | Program | School | Year |
|---|---|---|---|
| Ph.D. | Doctor of Philosophy in Electrical Engineering | Princeton University | 2002 |
| MSEE | Master of Science in Electrical Engineering | Tsinghua University | 1998 |
| BSEE | Bachelor of Science in Electrical Engineering | Tsinghua University | 1995 |
Awards and Honors
- 2019 | Qualcomm Faculty Award, Qualcomm
- 2018 | University Faculty Scholar, University Faculty Scholar
- 2017 | Best Paper Award, IEEE ICC
- 2017 | Executive Editorial Committee Member, IEEE Transactions on Wireless Communications
- 2017 | IEEE Fellow
- 2016 | Best Paper Award, IEEE INFOCOM BIGSECURITY Workshop
- 2015 | Area Editor, IEEE Transactions on Communications
- 2010 | Best Paper Award, IEEE MASS
Discover More About Huaiyu Dai
- AI Researchers Tackle Longstanding ‘Data Heterogeneity’ Problem for Federated Learning
- NC State ECE Faculty Members Ranked as Top Electronics and Electrical Engineers in United States
- Technique Smooths Path for ‘Federated Learning’ AI Training in Wireless Devices
Publications
- Efficient Content Delivery in User-Centric and Cache-Enabled Vehicular Edge Networks with Deadline-Constrained Heterogeneous Demands
- Pervej, M. F., Jin, R., Lin, S.-C., & Dai, H. (2024), IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 73(1), 1129–1145. https://doi.org/10.1109/TVT.2023.3300954
- Privacy-Preserving Decentralized Inference With Graph Neural Networks in Wireless Networks
- Lee, M., Yu, G., & Dai, H. (2024), IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 23(1), 543–558. https://doi.org/10.1109/TWC.2023.3279442
- Sign-Based Gradient Descent With Heterogeneous Data: Convergence and Byzantine Resilience
- Jin, R., Liu, Y., Huang, Y., He, X., Wu, T., & Dai, H. (2024, January 12), IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, Vol. 1. https://doi.org/10.1109/TNNLS.2023.3345367
- TDRA: A Truthful Dynamic Reverse Auction for DAG Task Scheduling Over Vehicular Clouds
- Liu, Z., Zhao, Y., Hosseinalipour, S., Gao, Z., Huang, L., & Dai, H. (2024), IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 73(3), 4337–4351. https://doi.org/10.1109/TVT.2023.3329141
- Base Station Antenna Uptilt Optimization for Cellular-Connected Drone Corridors
- Maeng, S. J., Chowdhury, M. M. U., Guvenc, I., Bhuyan, A., & Dai, H. (2023), IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 59(4), 4729–4737. https://doi.org/10.1109/TAES.2023.3237994
- Blind Post-Decision State-Based Reinforcement Learning for Intelligent IoT
- Zhang, J., He, X., & Dai, H. (2023), IEEE INTERNET OF THINGS JOURNAL, 10(12), 10605–10620. https://doi.org/10.1109/JIOT.2023.3242613
- CGBA: Curvature-aware Geometric Black-box Attack
- Reza, M. F., Rahmati, A., Wu, T., & Dai, H. (2023), 2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION, ICCV, pp. 124–133. https://doi.org/10.1109/ICCV51070.2023.00018
- Channel Rank Improvement in Urban Drone Corridors Using Passive Intelligent Reflectors
- Ozturk, E., Anjinappa, C. K., Erden, F., Chowdhury, M. M. U., Guvenc, I., Dai, H., & Bhuyan, A. (2023), 2023 IEEE AEROSPACE CONFERENCE. https://doi.org/10.1109/AERO55745.2023.10115741
- Decentralized Inference With Graph Neural Networks in Wireless Communication Systems
- Lee, M., Yu, G., & Dai, H. (2023), IEEE TRANSACTIONS ON MOBILE COMPUTING, 22(5), 2582–2598. https://doi.org/10.1109/TMC.2021.3125793
- Distributed Learning Over Networks With Graph-Attention-Based Personalization
- Tian, Z., Zhang, Z., Yang, Z., Jin, R., & Dai, H. (2023), IEEE TRANSACTIONS ON SIGNAL PROCESSING, 71, 2071–2086. https://doi.org/10.1109/TSP.2023.3282071
