Hao Ye

Hao Ye is an Assistant Professor in Electrical and Computer Engineering at the University of California, Santa Cruz (UCSC). Previously, he worked as a Machine Learning Researcher at Qualcomm AI Research before transitioning to academia. His research focuses on integrating machine learning methodology into communication networks, particularly for applications involving edge devices such as autonomous vehicles.

• PhD in Electrical and Computer Engineering, Georgia Institute of Technology

His research interests center on wireless communications, AI-driven network optimization, and signal processing for vehicular networks. He explores deep learning applications in channel estimation, resource allocation, and end-to-end communication systems, emphasizing adaptability in unreliable environments.

Key trends in his publications include:

• Advancing Massive MIMO systems with data-driven approaches
• Developing graph neural networks for wireless resource management
• Integrating reinforcement learning into vehicular network spectrum sharing
• Proposing pilot-free end-to-end communication frameworks using deep learning
• Investigating federated learning in decentralized wireless architectures
• Applying meta-learning to networked AI systems

Scientific contributions include being invited as an Editor for IEEE Transactions on Wireless Communications in 2024. He actively mentors PhD students and collaborates with researchers like Le Liang, Geoffrey Ye Li, and Shi Jin.

Recent team announcements include welcoming Jing Qiao in September 2024, reflecting ongoing growth in his research group focused on machine learning and wireless systems.