Postgraduate Team BBQ 2026
A year-end BBQ with Bruce Sham, our PhD and master's students, and visitors.
About
Sean Longyu Ma is a tenure-track faculty member in the School of Computer
Science at the University of Auckland. His research focuses on FPGA-based computing,
RISC-V customisation, high-level synthesis, and heterogeneous computing.
Education
PhD in Computer Science
The University of Auckland
Master of Integrated Circuit Engineering
Shanghai Jiao Tong University
Bachelor of Communication Engineering
Harbin Engineering University
Research Interests
FPGA acceleration
RISC-V customisation
High-level synthesis
Heterogeneous computing
Research Interests
I design reconfigurable and customised computing systems that translate
ambitious algorithms into efficient hardware. My current work spans FPGA
acceleration, RISC-V processor customisation, high-level synthesis, and
heterogeneous computing.
Selected Publications
Efficient FPGA Deployment of Power-of-Two Quantized Networks via Dynamic Hierarchical Base-Exponent Offset Encoding.
2026 IEEE International Symposium on Circuits and Systems (ISCAS), 4108-4112,2026.
Adaptive Gradual Quantization with a Custom RISC-V SIMD Accelerator.
2025 IEEE 18th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC),2025.
Enhancing Synthesis Efficiency in HLS through LLM-Based Automated Code Correction.
2025 IEEE 14th Global Conference on Consumer Electronics (GCCE),2025.
LHA: Layer-wise Hardware Acceleration of Progressive Quantizing Inference through Partial Reconfiguration for Edge Computing.
2025 International Joint Conference on Neural Networks (IJCNN),2025.
Recent Updates
Co-Designed Physics-Informed Neural Network FPGA Accelerator for Battery Health Estimation
Physics-informed neural networks (PINNs) provide strong generalization for battery state-of-health (SOH) estimation, but their sine activations make aggressive low-bit quantization …
jianglan-zhu
University of Auckland Open Day 2026: An Interactive LLM Demo
An interactive GPU–FPGA LLM demonstration for prospective students at the University of Auckland Open Day.
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1 min read
A Market-Aligned Reinforcement Learning Framework for Financial Sentiment Analysis
Financial sentiment analysis(FSA) plays a critical role in algorithmic trading and market risk assessment. However, most existing approaches define sentiment purely through …
zhihang-liu
A Theoretical Analysis of Migration Strength Selection in SmoothQuant
Post-training quantization (PTQ) is essential for efficient inference of large language models, yet remains challenging due to activation outliers with large magnitudes. …
zhihang-liu
Prospective Students
I welcome enquiries from prospective PhD and research master’s students
with strong interests in FPGA/GPU systems, circuits and systems, machine
learning acceleration, RISC-V, or cross-disciplinary hardware research.
Please include your CV, academic transcript, and a short description of
your research interests when contacting me.