Let's guide a smart interface for VR HMD and leap motion. - Keonhee Park; Seongah Chin (VRST, 2018)

Adaptive approach for estimation of pipeline corrosion defects via Bayesian inference. - Kyeongsu Kim; Gunhak Lee; Keonhee Park; Seongho Park; Won Bo Lee (Reliab. Eng. Syst. Saf., 2021)

A 701.7 TOPS/W Time-Domain Spiking Neural Network Compute-in-Memory Processor with 9T1C Bitcell. - Keonhee Park; Hoichang Jeong; Kyuho Lee 001 (MWSCAS, 2023)

A Ternary Neural Network Computing-in-Memory Processor With 16T1C Bitcell Architecture. - Hoichang Jeong; Seungbin Kim; Keonhee Park; Jueun Jung; Kyuho Jason Lee (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

A Low-power 3D Point Clouds Matching Processor with 1D-CNN Prediction and CAM-based In-memory kNN Searching. - Jeongmin Shin; Hoichang Jeong; Seungbin Kim; Keonhee Park; Sangho Lee; Kyuho Lee 001 (AICAS, 2024)

A 273.48 TOPS/W and 1.58 Mb/mm2 Analog-Digital Hybrid CIM Processor with Transpose Ternary-eDRAM Bitcell. - Hoichang Jeong; Seungbin Kim; Jeongmin Shin; Keonhee Park; Kyuho Jason Lee (A-SSCC, 2024)

A 46 TOPS/W In-/Near-Memory Computing Processor for Large Language Model with Extended Sparse Attention. - Sunhong An; Hoichang Jeong; Seungbin Kim; Keonhee Park; Dongwook Kim; Kyuho Lee (ISCAS, 2025)

A 0.74 μJ/decision and 22.59 TOPS/W Keyword Spotting CIM Processor with Short-Current-Free Multi-level ReRAM and Adaptive-Decision-Level Nonlinear ADC. - Dongwook Kim; Hoichang Jeong; Keonhee Park; Seungbin Kim; Sunhong An; Kyuho Lee (ISCAS, 2025)

A 701.7 TOPS/W Compute-in-Memory Processor With Time-Domain Computing for Spiking Neural Network. - Keonhee Park; Hoichang Jeong; Seungbin Kim; Jeongmin Shin; Minseo Kim; Kyuho Jason Lee (IEEE Trans. Circuits Syst. I Regul. Pap., 2025)

C2IM-NN: A Low-Power 3D Point Clouds Matching Processor With 1D-CNN Prediction and CAM-Based In-Memory k-NN Searching. - Jeongmin Shin; Hoichang Jeong; Seungbin Kim; Keonhee Park; Sangho Lee; Kyuho Jason Lee (IEEE Trans. Circuits Syst. I Regul. Pap., 2025)