Distributed Object-Oriented Real-Time Simulation of Ground Transportation Networks with the TMO Structuring Scheme. - K. H. Kim; Juqiang Liu; Masaki Ishida; Inho Kim (COMPSAC, 1999)

Deinterlacing in spatial and temporal domain. - Inho Kim; Chulhee Lee (Computational Imaging, 2006)

Implementation and Performance Analysis of an IPv6 Multicast Forwarder for the IXP2400 Network Processor. - Woojin Park; Inho Kim; Kyungsoo Lim; Sinam Woo; Sunshin An (ITNG, 2007)

Design of morphological changing all-terrain-rover for enhancing mobility. - Inho Kim; Jae-Seong Lee; Wooyoung Jeong; Jang Hyun Kim; Hyunseok Yang (ICAR, 2013)

Assisting strategy of walking assistive device on inclined terrain. - Inho Kim; Woong-Hee Cho; Hyunseok Yang (URAI, 2013)

Design and control method for a high-mobility in-pipe robot with flexible links. - Woongsun Jeon; Inho Kim; Jungwan Park; Hyunseok Yang (Ind. Robot, 2013)

Effects of health information technology on patient outcomes: a systematic review. - Samantha K. Brenner; Rainu Kaushal; Zachary M. Grinspan; Christine Joyce; Inho Kim; Rhonda J. Allard; Diana Delgado; Erika L. Abramson (J. Am. Medical Informatics Assoc., 2016)

Ultra-thin filmed SnO2 gas sensor with a low-power micromachined hotplate for selective dual gas detection of carbon monoxide and methane. - Inho Kim; Kyung Won Seo (ICST, 2017)

Markov Chain Hebbian Learning Algorithm With Ternary Synaptic Units. - Guhyun Kim; Vladimir Kornijcuk; Dohun Kim; Inho Kim; Jaewook Kim; Hyo Cheon Woo; Ji-Hun Kim; Cheol Seong Hwang; Doo Seok Jeong (IEEE Access, 2019)

Spiking Neural Network (SNN) With Memristor Synapses Having Non-linear Weight Update. - Taeyoon Kim; Suman Hu; Jaewook Kim; Joon Young Kwak; Jongkil Park 001; Suyoun Lee; Inho Kim; Jong-Keuk Park; YeonJoo Jeong (Frontiers Comput. Neurosci., 2021)

SPICE Study of STDP Characteristics in a Drift and Diffusive Memristor-Based Synapse for Neuromorphic Computing. - Suman Hu; Jaehyun Kang; Taeyoon Kim; Suyoun Lee; Jong-Keuk Park; Inho Kim; Jaewook Kim; Joon Young Kwak; Jongkil Park 001; Gyu-Tae Kim; Shinhyun Choi; YeonJoo Jeong (IEEE Access, 2022)

Real-time Neural Connectivity Inference with Presynaptic Spike-driven Spike Timing-Dependent Plasticity. - Daeyoung Kim; Jihyeok Choi; Mingyu Cheon; YeonJoo Jeong; Jaewook Kim; Joon Young Kwak; Jong-Keuk Park; Suyoun Lee; Inho Kim; Jongkil Park 001 (EMBC, 2023)

Gradient Scaling on Deep Spiking Neural Networks with Spike-Dependent Local Information. - Seongsik Park; Jeonghee Jo; Jongkil Park 001; Yeonjoo Jeong; Jaewook Kim; Suyoun Lee; Joon Young Kwak; Inho Kim; Jong-Keuk Park; Kyeong Seok Lee; Gye Weon Hwang; Hyun Jae Jang (CoRR, 2023)

High Dynamic Range Digital Neuron Core With Time-Embedded Floating-Point Arithmetic. - Jongkil Park 001; YeonJoo Jeong; Jaewook Kim; Suyoun Lee; Joon Young Kwak; Jong-Keuk Park; Inho Kim (IEEE Trans. Circuits Syst. I Regul. Pap., 2023)

High-Density Digital Neuromorphic Processor with High-Precision Neural and Synaptic Dynamics and Temporal Acceleration. - Jongkil Park 001; YeonJoo Jeong; Jaewook Kim; Suyoun Lee; Joon Young Kwak; Jong-Keuk Park; Inho Kim (AICAS, 2024)

Adaptive Spiking Neural Network Neuromorphic Hardware for Interfacing Between Emerging Neuron and Synaptic Devices. - Min Jee Kim; Jaegwang Im; Keonhee Kim; Yooyeon Jo; Gichang Noh; Eunpyo Park; Dae Kyu Lee; Inho Kim; YeonJoo Jeong; Hyung-Min Lee; Joon Young Kwak (BioCAS, 2024)

Trident of Poseidon: A Generalized Approach for Detecting Deepfake Voices. - Thien-Phuc Doan; Hung Dinh-Xuan; Taewon Ryu; Inho Kim; Woongjae Lee; Kihun Hong; Souhwan Jung (CCS, 2024)

Video Imagery-Based Coastal Wave Tracking for Ocean Observation in Surf Zone Using Deep Convolutional Neural Network. - Sungyeol Chang; Jinhoon Kim; Inho Kim (IGARSS, 2024)

Designing self-ordering kiosk for older adults: Familiarity design focusing on representation, manipulation, and organization. - Chung-Heon Lee; Jeongwoo Lee; Doha Kim; Inho Kim; Hayeon Song (Comput. Hum. Behav., 2024)

Improving Sound Source Localization with Joint Slot Attention on Image and Audio. - Inho Kim; Youngkil Song; Jicheol Park; Won Hwa Kim; Suha Kwak (CVPR, 2025)

Late Breaking Results: Improving Deep SNNs with Gradient Clipping and Noise Exploitation in Neuromorphic Devices. - Seongsik Park; Jongkil Park 001; Hyun Jae Jang; Jaewook Kim; YeonJoo Jeong; Gye Weon Hwang; Inho Kim; Jong-Keuk Park; Kyeong Seok Lee; Suyoun Lee (DATE, 2025)

Boosting Semi-Supervised Video Action Detection with Temporal Context. - Donghyeon Kwon; Inho Kim; Suha Kwak (WACV, 2025)