A Multi-scale Binarized Neural Network Application Based on All Programmable System on Chip. - Maoyang Xiang; Tee Hui Teo (MCSoC, 2021)

Implementation of Physics Informed Neural Networks on Edge Device. - Xuezhi Zhang; I-Chyn Wey; Maoyang Xiang; Tee Hui Teo (MCSoC, 2023)

Design and Implementation of a Logistic Map-Based Pseudo-Random Number Generator on FPGA. - Tee Hui Teo; Maoyang Xiang; Mostafa Elsharkawy; Hen Rin Leao; Mateo Jalen Andrew Calderon; Lee Jun Lei Lucas; Syarifuddin Azhar Bin Rosli; Hui Ying See; Jarell Lim En Yu (MCSoC, 2024)

Open-AI Driven Open-source Open-access Sustainable ICs Design Flow. - Tee Hui Teo; Maoyang Xiang; Emil Goh; Huan-Ke Hsu (MCSoC, 2024)

Hardware Implementation of Double Pendulum Pseudo Random Number Generator. - Tee Hui Teo; Maoyang Xiang; Hen Rin Leao; Keye Qian; Jarrod Lim; Tom Manuel Opalla Piccio; Chua Min Jie Michelle (MCSoC, 2024)

Hardware Implementation of Multi-LFSR Pseudo Random Number Generator. - Tee Hui Teo; Maoyang Xiang; Mostafa Elsharkawy; Hen Rin Leao; Jiacheng Xie; Hong Sheng Ek; Kang Yi Lee; Wee Yi Koh (TENCON, 2024)

From English to ASIC: Hardware Implementation with Large Language Model. - Emil Goh; Maoyang Xiang; I-Chyn Wey; Tee Hui Teo (CoRR, 2024)

Hardware Implementation of Double Pendulum Pseudo Random Number Generator. - Jarrod Lim; Tom Manuel Opalla Piccio; Chua Min Jie Michelle; Maoyang Xiang; Tee Hui Teo (CoRR, 2024)

Logistic Map Pseudo Random Number Generator in FPGA. - Mateo Jalen Andrew Calderon; Lee Jun Lei Lucas; Syarifuddin Azhar Bin Rosli; Stephanie See Hui Ying; Jarell Lim En Yu; Maoyang Xiang; Tee Hui Teo (CoRR, 2024)

FPGA Digital Dice using Pseudo Random Number Generator. - Michael Lim Kee Hian; Ten Wei Lin; Zachary Wu Xuan; Stephanie-Ann Loy; Maoyang Xiang; Tee Hui Teo (CoRR, 2024)

Digital ASIC Design with Ongoing LLMs: Strategies and Prospects. - Maoyang Xiang; Emil Goh; Tee Hui Teo (CoRR, 2024)

How to Mitigate the Dependencies of ChatGPT-4o in Engineering Education. - Maoyang Xiang; Tee Hui Teo (CoRR, 2024)

On-Device Qwen2.5: Efficient LLM Inference with Model Compression and Hardware Acceleration. - Maoyang Xiang; Ramesh Fernando; Bo Wang (CoRR, 2025)