Recent Progress and Next Directions for Embedded MRAM Technology. - William J. Gallagher; Eric Chien; Tien-Wei Chiang; Jian-Cheng Huang; Meng-Chun Shih; C. Y. Wang; Christine Bair; George Lee; Yi-Chun Shih; Chia-Fu Lee; Roger Wang; Kuei-Hung Shen; et al. (VLSI Circuits, 2019)

13.3 A 22nm 32Mb Embedded STT-MRAM with 10ns Read Speed, 1M Cycle Write Endurance, 10 Years Retention at 150°C and High Immunity to Magnetic Field Interference. - Yu-Der Chih; Yi-Chun Shih; Chia-Fu Lee; Yen-An Chang; Po-Hao Lee; Hon-Jarn Lin; Yu-Lin Chen; Chieh-Pu Lo; Meng-Chun Shih; Kuei-Hung Shen; Harry Chuang; Tsung-Yung Jonathan Chang (ISSCC, 2020)

Prediction of Mechanical Ventilator Weaning Outcome - A Deep Learning Approach. - Kuei-Hung Shen; Yun-Ju Yu; Szu-Yin Chen; En-Ming Chang; Hsiu-Li Wu; Cheng-Kuan Lin; Yu-Chee Tseng (APWCS, 2023)