Yulin Fu
Doctoral Candidate in Computer Science
University of Auckland / Auckland, New Zealand
Advised by Dr. Sean Longyu Ma (Main Supervisor) / Associate Professor Bruce Sham (Co-supervisor)
PhD student in Computer Science at the University of Auckland. My research focuses on hardware acceleration for deep learning — including FPGA-based edge AI systems, high-level synthesis (HLS) automation, and FPGA-driven LLM acceleration.
Research interests
- FPGA-based Hardware Acceleration
- Edge AI Systems
- Neural Network Accelerators
- High-Level Synthesis (HLS)
- LLM Acceleration
Experience timeline
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Sep 2025 — present
PhD, Computer Science
University of Auckland / Auckland, New Zealand
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Mar 2023 — Sep 2025
M.Sc., Computer Science
University of Auckland / Auckland, New Zealand
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Sep 2019 — Jun 2023
B.E., Computer Science
Northeast Forestry University / Harbin, China
Recent news
All news →- Attended the 8th Beijing Zhiyuan Conference
- Presented at MCSoC 2025
- Online presentation at GCCE 2025
- Presented on-site at GCCE 2024 in Japan
- Pervasive AI Developer Contest with AMD on Hackster.io
Selected publications
All publications →-
RedPIM: An Efficient PIM Accelerator Design with Reduced Analog-to-Digital Conversions
J. Li, Y. Fu, S. Longyu, et al.
ACM Transactions on Design Automation of Electronic Systems, 2026
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An Efficient FPGA-Based Edge AI System for Railway Fault Detection
Y. Fu, D. Yan, J. Li, et al.
IEEE Consumer Electronics Magazine, 2025