
NTU
M.S. Student · Graduate Institute of Electronics Engineering, ICS Group
~/john-wei · ntu.eecs
魏睿強 · M.S. @ NTU · Efficient AI systems, model compression & hardware-aware ML
I am a master's student in Electronics Engineering at National Taiwan University, advised by Prof. An-Yeu (Andy) Wu in the Access IC Design Lab. I build efficient AI systems across post-training quantization, Mamba-based models, and accelerator-aware optimization.
// 02 trajectory 04 nodes

M.S. Student · Graduate Institute of Electronics Engineering, ICS Group

Research Intern · TinyML, sustainable AI & efficient deployment

B.S. Student · Department of Electrical Engineering

B.S. Student · Department of Electrical Engineering
// 03 publications 04 entries
My work asks how we can make advanced models more practical: smaller, faster, and aware of the systems that run them. I am especially interested in efficient vision models, post-training quantization, Mamba architectures, and AI accelerators.
ICIP · 2026 NEW
A systematic post-training quantization framework for hybrid vision architectures including MambaVision and VSSD.
ASRU · 2025
A multi-teacher framework for unifying speech and music representations in one compact model.
Interspeech · 2025
A task-arithmetic distillation approach for combining independent speech and music encoders.
ICLR · 2024
A collaboratively expanding benchmark for measuring spoken-language models across 180 tasks.
// 04 selected projects 03 entries
A multi-core accelerator with distributed memory, AXI data movement, and controller-managed scheduling across processing elements.
A Vision Transformer patch-embedding accelerator with INT8 quantization, memory access, and clock-domain-crossing synchronization.
A BCH decoder supporting hard- and soft-decision decoding, Berlekamp error-location computation, and Chase decoding.
// 05 contact