3 citations · 4 across the 4 of their papers we have counts for
4 papers
On-Device Qwen2.5: Efficient LLM Inference with Model Compression and Hardware Acceleration
Maoyang Xiang, Ramesh Fernando, Bo Wang
Transformer-based Large Language Models (LLMs) have significantly advanced AI capabilities but pose considerable challenges for deployment on edge devices due to high computational…
How to Mitigate the Dependencies of ChatGPT-4o in Engineering Education
Maoyang Xiang, T. Hui Teo
The rapid evolution of large multimodal models (LMMs) has significantly impacted modern teaching and learning, especially in computer engineering. While LMMs offer extensive opport…
Digital ASIC Design with Ongoing LLMs: Strategies and Prospects
Maoyang Xiang, Emil Goh, T. Hui Teo
The escalating complexity of modern digital systems has imposed significant challenges on integrated circuit (IC) design, necessitating tools that can simplify the IC design flow.…
Hardware Implementation of Double Pendulum Pseudo Random Number Generator
Jarrod Lim, Tom Manuel Opalla Piccio, Chua Min Jie Michelle +2
The objective of this project is to utilize an FPGA board which is the CMOD A7 35t to obtain a pseudo random number which can be used for encryption. We aim to achieve this by leve…