An 82% energy-saving change-sensing flip-flop in 40nm CMOS for ultra-low power applications. - Van Loi Le; Juhui Li; Alan Chang; Tony T. Kim (A-SSCC, 2017)

An Ultra-low Power 8T SRAM with Vertical Read Word Line and Data Aware Write Assist. - Lu Lu 013; Taegeun Yoo; Van Loi Le; Tony Tae-Hyoung Kim (A-SSCC, 2018)

A 137-μW Area-Efficient Real-Time Gesture Recognition System for Smart Wearable Devices. - Taegeun Yoo; Van Loi Le; Ju Eon Kim; Ngoc Le Ba; Kwang-Hyun Baek; Tony T. Kim (A-SSCC, 2018)

A Radiation Hardened SRAM with Self-refresh and Compact Error Correction. - M. Sultan M. Siddiqui; Ruchi Sharma; Van Loi Le; Taegeun Yoo; Ik-Joon Chang; Tony Tae-Hyoung Kim (ISOCC, 2018)

A 0.4-V, 0.138-fJ/Cycle Single-Phase-Clocking Redundant-Transition-Free 24T Flip-Flop With Change-Sensing Scheme in 40-nm CMOS. - Van Loi Le; Juhui Li; Alan Chang; Tony Tae-Hyoung Kim (IEEE J. Solid State Circuits, 2018)

An Area and Energy Efficient Ultra-Low Voltage Level Shifter With Pass Transistor and Reduced-Swing Output Buffer in 65-nm CMOS. - Van Loi Le; Tony Tae-Hyoung Kim (IEEE Trans. Circuits Syst. II Express Briefs, 2018)

A 213.7-µW Gesture Sensing System-On-Chip With Self-Adaptive Motion Detection and Noise-Tolerant Outermost-Edge-Based Feature Extraction in 65 nm. - Van Loi Le; Taegeun Yoo; Ju Eon Kim; Kwang-Hyun Baek; Tony Tae-Hyoung Kim (ESSCIRC, 2019)

A Low-Power Smart Gesture Sensing SoC with On-chip Image Sensor for Smart Devices. - Van Loi Le; Taegeun Yoo; Ju Eon Kim; Kwang-Hyun Baek; Tony Tae-Hyoung Kim (ISOCC, 2020)

A 137-μW 1.78-mm2 30-Frames/s Real-Time Gesture Recognition SoC for Smart Devices. - Van Loi Le; Taegeun Yoo; Ju Eon Kim; Ngoc Le Ba; Kwang-Hyun Baek; Tony Tae-Hyoung Kim (IEEE Trans. Very Large Scale Integr. Syst., 2020)

A 0.506-pJ 16-kb 8T SRAM With Vertical Read Wordlines and Selective Dual Split Power Lines. - Lu Lu 013; Taegeun Yoo; Van Loi Le; Tony Tae-Hyoung Kim (IEEE Trans. Very Large Scale Integr. Syst., 2020)

9.7 A 184 µ W Real-Time Hand-Gesture Recognition System with Hybrid Tiny Classifiers for Smart Wearable Devices. - Yuncheng Lu; Van Loi Le; Tony Tae-Hyoung Kim (ISSCC, 2021)

A 184-μW Error-Tolerant Real-Time Hand Gesture Recognition System With Hybrid Tiny Classifiers Utilizing Edge CNN. - Yuncheng Lu; Van Loi Le; Tony Tae-Hyoung Kim (IEEE J. Solid State Circuits, 2023)