Design of an 45nm NCFET Based Compute-in-SRAM for Energy-Efficient Machine Learning Applications. - Chia-Heng Lee; Ying-Tuan Hsu; Tsung-Te Liu; Tzi-Dar Chiueh (APCCAS, 2020)

A 270-mV 6T SRAM Using Row-Based Dual-Phase VDD Control in 28-nm CMOS. - Chen-Hsuan Lu; Ying-Tuan Hsu; Bing-Chen Wu; Tsung-Te Liu (IEEE Trans. Circuits Syst., 2020)

D-NAT: Data-Driven Non-Ideality Aware Training Framework for Fabricated Computing-In-Memory Macros. - Ming-Guang Lin; Chi-Tse Huang; Yu-Chuan Chuang; Yi-Ta Chen; Ying-Tuan Hsu; Yu-Kai Chen; Jyun-Jhe Chou; Tsung-Te Liu; Chi-Sheng Shih 001; An-Yeu Wu (IEEE J. Emerg. Sel. Topics Circuits Syst., 2022)

CIM-Based Smart Pose Detection Sensors. - Jyun-Jhe Chou; Ting-Wei Chang; Xin-You Liu; Tsung-Yen Wu; Yu-Kai Chen; Ying-Tuan Hsu; Chih-Wei Chen; Tsung-Te Liu; Chi-Sheng Shih 001 (Sensors, 2022)

25.1 A Physics-Inspired Oscillator-Based Mixed-Signal Optimization Engine for Solving 50-Variable 218-Clause 3-SAT Problems with 100% Solvability and 31.7μs Solution Time. - Evangelos Dikopoulos; Ying-Tuan Hsu; Luke Wormald; Wei Tang 010; Zhengya Zhang; Michael P. Flynn (ISSCC, 2025)

RXO-LDPC: A Physics-Inspired Relaxation Oscillator-Based Solver Leveraging Six-Body Spin Interactions for Soft Decoding of LDPC Codes. - Evangelos Dikopoulos; Luke Wormald; Ying-Tuan Hsu; Wei Tang 010; Po-Shao Chen; Zhengya Zhang; Michael P. Flynn (IEEE J. Solid State Circuits, 2025)