This is Dr. Heng Yu’s research site. He is currently an Associate Professor in the School of Computer Science, University of Nottingham Ningbo China (UNNC). His current researh interest lies in embedded AI and AI-empowered digital system design, with focus on system-level algorithms leveraging application’s or circuit’s adaptability for optimization. Find more about him in the Bio page.

Ph.D. vacancies available in the above research themes. Motivated students with a relevant MSc. or MEng. degree (or excellent Bachelor degree) are welcome to contact him for discussion.

Heads-up

• [2025-10-19] Qingyu’s work “FPGA Routing Congestion Prediction via Graph Learning-Aided Conditional GAN” accepted by ACM TODAES. [DOI][Video][Code]
• [2025-05-01] Qingyu’s co-work “LLM4Netlist: LLM-enabled Step-based Netlist Generation from Natural Language Description” accepted by IEEE JETCAS. [DOI][Code]
• [2025-03-31] Yuting’s work “De²r: Unifying DVFS and Early-Exit for Embedded AI Inference via Reinfocement Learning” presented at DATE’25, Lyon, France. [DOI][Video]
• [2024-09-19] Fangcheng’s FYP work “A Scenario-Customizable and Visual-Rendering Simulator for on-Vehicle Vibration Energy Harvesting” accepted by Sustainable Computing: Informatics and Systems. [DOI][Code]
• [2024-09-13] Jingjin’s work “FIDRL: Flexible Invocation-based Deep Reinforcement Learning for DVFS Scheduling in Embedded Systems” accepted by IEEE Trans. Computers. [DOI][Video]

Publications

Most up-to-date list at Google Scholar.
Some available at ResearchGate with PDFs.