Low-Cost and Effective Fault-Tolerance Enhancement Techniques for Emerging Memories-Based Deep Neural Networks. - Thai-Hoang Nguyen; Muhammad Imran 010; Jaehyuk Choi 001; Joon-Sung Yang (DAC, 2021)

DynaPAT: A Dynamic Pattern-Aware Encoding Technique for Robust MLC PCM-Based Deep Neural Networks. - Thai-Hoang Nguyen; Muhammad Imran 010; Joon-Sung Yang (ICCAD, 2022)

VECOM: Variation-Resilient Encoding and Offset Compensation Schemes for Reliable ReRAM-Based DNN Accelerator. - Je-Woo Jang; Thai-Hoang Nguyen; Joon-Sung Yang (ICCAD, 2023)

CRAFT: Criticality-Aware Fault-Tolerance Enhancement Techniques for Emerging Memories-Based Deep Neural Networks. - Thai-Hoang Nguyen; Muhammad Imran 010; Jaehyuk Choi 001; Joon-Sung Yang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

HYDRA: A Hybrid Resistance Drift Resilient Architecture for Phase Change Memory-Based Neural Network Accelerators. - Thai-Hoang Nguyen; Muhammad Imran 010; Jaehyuk Choi 001; Joon-Sung Yang (IEEE Trans. Computers, 2024)

Learning Gate-level Netlist Testability in the Presence of Unknowns through Graph Neural Networks. - Thai-Hoang Nguyen; Youngjin Ju; Dongsub Yoon; Hyojin Choi (ASP-DAC, 2025)