A Compressive Sensing-Based Automatic Sleep-Stage Classification System With Radial Basis Function Neural Network. - Hyunkeun Lee; Jinyoung Choi; Seunghun Kim 002; Sung Chan Jun; Byung-Geun Lee (IEEE Access, 2019)

A High Full Well Capacity CMOS Image Sensor for Space Applications. - Woo-Tae Kim; Cheonwi Park; Hyunkeun Lee; Ilseop Lee; Byung-Geun Lee (Sensors, 2019)

An On-Chip Binary-Weight Convolution CMOS Image Sensor for Neural Networks. - Woo-Tae Kim; Hyunkeun Lee; Jung-Gyun Kim; Byung-Geun Lee (IEEE Trans. Ind. Electron., 2021)

A Compressive Sensing CMOS Image Sensor With Partition Sampling Technique. - Hyunkeun Lee; Woo-Tae Kim; Jinho Kim; Myonglae Chu; Byung-Geun Lee (IEEE Trans. Ind. Electron., 2021)

A ReRAM-Based Convolutional Neural Network Accelerator Using the Analog Layer Normalization Technique. - Sang-Gyun Gi; Hyunkeun Lee; Jingon Jang; Byung-Geun Lee (IEEE Trans. Ind. Electron., 2023)

Analysis of Pixel Noise in Dynamic Vision Sensors. - Donghwan Seo; Jung-Gyun Kim; Injune Yeo; Hyunkeun Lee; Byung-Geun Lee (IEEE Trans. Circuits Syst. I Regul. Pap., 2025)

A High-Frequency CMOS Meminductor Emulator for Spiking Neuron. - Ankur Singh; Dowon Kim; Hyunkeun Lee; Byung-Geun Lee (IEEE Trans. Circuits Syst. I Regul. Pap., 2025)