An implementation of 100 Mbps TAXI subscriber board. - Chan Kim; Jung Hoon Paik (LCN, 1995)

A 622 Mbps ATM physical layer ASIC and its "design for test" methods. - Chan Kim; Yeong Ho Park; Doo Sub Eom; Jae Keun Kim (ISCC, 1997)

Design and Implementation of an EPON Master Bridge Function in an ASIC. - Chan Kim; Tae-Whan Yoo; Yool Kwon; Bong-Tae Kim (ISCC, 2006)

A Hierarchical Weighted Round Robin EPON DBA Scheme and Its Comparison with Cyclic Water-Filling Algorithm. - Chan Kim; Tae-Whan Yoo; Bong-Tae Kim (ICC, 2007)

A layered inpainting method for virtual view synthesis. - Seona Kim; Kyong Joon Lee; Chan Kim; Il Dong Yun; Sang Uk Lee (SD&A, 2012)

Depth adjustment of ROI using scalable multiplexing in 3D display. - Hong-Chang Shin; Gi Mun Um; Chan Kim; Won-Sik Cheong; Namho Hur (ICCE, 2013)

Virtual prototype based on Aldebarn CPU core. - Jae-Jin Lee; Chan Kim; Kyungjin Byun; Nak-Woong Eum (VLSI-SoC, 2015)

A deep learning convolution architecture for simple embedded applications. - Chan Kim; Yong Cheol Peter Cho; Youngsu Kwon (ICCE-Berlin, 2017)

Function-Safe Vehicular AI Processor with Nano Core-In-Memory Architecture. - Youngsu Kwon; Jeongmin Yang; Yong Cheol Peter Cho; Kyoung-Seon Shin; Jaehoon Chung; Jinho Han; Chun-Gi Lyuh; Hyun-Mi Kim; Chan Kim; Min-Seok Choi (AICAS, 2019)

Implementation of Yolo-v2 Image Recognition and Other Testbenches for a CNN Accelerator. - Chan Kim; In San Jeon; Young-Su Kwon; Hyun-Mi Kim; Chun-Gi Lyuh; Yong Cheol Peter Cho; Jeongmin Yang; Jaehoon Chung; Kyoung-Seon Shin; Jinho Han; Min-Seok Choi (ICCE-Berlin, 2019)

AI 32TFLOPS Autonomous Driving Processor on AI-Ware with Adaptive Power Saving. - Youngsu Kwon; Yong Cheol Peter Cho; Jeongmin Yang; Jaehoon Chung; Kyoung-Seon Shin; Jinho Han; Chan Kim; Chun-Gi Lyuh; Hyun-Mi Kim; In San Jeon; Min-Seok Choi (ISOCC, 2019)

MutBug: A Lightweight and Compact Crawling Robot That Can Run on Both Sides. - Tae-Yeon Kim; Chan Kim; Sung-Hyun Kim; Gwang-Pil Jung (IEEE Robotics Autom. Lett., 2019)

Uncertainty-Aware Fast Curb Detection Using Convolutional Networks in Point Clouds. - Younghwa Jung; Mingu Jeon; Chan Kim; Seung-Woo Seo; Seong-Woo Kim (ICRA, 2021)

STFP: Simultaneous Traffic Scene Forecasting and Planning for Autonomous Driving. - Chan Kim; Hyung-Suk Yoon; Seung-Woo Seo; Seong-Woo Kim (IROS, 2021)

Self-Balancing Online Dataset for Incremental Driving Intelligence. - Hyung-Suk Yoon; Chan Kim; Seong-Woo Kim; Seung-Woo Seo (IROS, 2021)

Live Demonstration: A Neural Processor for AI Acceleration. - Hyeji Kim; Jaehoon Chung; Kyoung-Seon Shin; Chun-Gi Lyuh; Hyun-Mi Kim; Chan Kim; Yong Cheol Peter Cho; Jeongmin Yang; Je-Seok Ham; Minseok Choi; Jinho Han; Youngsu Kwon (ISCAS, 2021)

ArtBrain-K: AI Processor based-on 5-PetaFLOPS AI Server System. - Jinho Han; Chun-Gi Lyuh; Kyeongsun Shin; Hyun-Mi Kim; Hyunjeong Kwon; Jaehoon Chung; Yong Cheol Peter Cho; Jinkyu Kim; Jeonghui Suk; Chan Kim; Minseok Choi; Youngsu Kwon (AICAS, 2022)

Action-Conditioned Traffic Scene Prediction for Interactive Planning. - Chan Kim; JaeKyung Cho; Younghwa Jung; Seung-Woo Seo; Seong-Woo Kim (ICEIC, 2022)

Time Series Forecasting with Hypernetworks Generating Parameters in Advance. - Jaehoon Lee 002; Chan Kim; Gyumin Lee; Haksoo Lim; Jeongwhan Choi 002; Kookjin Lee; Dongeun Lee 001; Sanghyun Hong 001; Noseong Park (CoRR, 2022)

UNICON: Uncertainty-Conditioned Policy for Robust Behavior in Unfamiliar Scenarios. - Chan Kim; JaeKyung Cho; Hyung-Suk Yoon; Seung-Woo Seo; Seong-Woo Kim (IEEE Robotics Autom. Lett., 2022)

Surface Properties of CVD-Grown Graphene Transferred by Wet and Dry Transfer Processes. - Min-Ah Yoon; Chan Kim; Jae-Hyun Kim; Hak-Joo Lee; Kwang-Seop Kim (Sensors, 2022)

Deep Reinforcement Learning for Semi-Active Suspension: A Feasibility Study. - Sang Rak Kim; Chan Kim; Soohyun Shin; Seong-Woo Kim (ICEIC, 2023)

Low-level controller in response to changes in quadrotor dynamics. - JaeKyung Cho; Chan Kim; Mohamed Khalid M. Jaffar; Michael W. Otte; Seong-Woo Kim (ICRA, 2023)

SeRO: Self-Supervised Reinforcement Learning for Recovery from Out-of-Distribution Situations. - Chan Kim; JaeKyung Cho; Christophe Bobda; Seung-Woo Seo; Seong-Woo Kim (IJCAI, 2023)

Accelerated Particle Filter With GPU for Real-Time Ballistic Target Tracking. - Daeyeon Kim; Yunho Han; Heoncheol Lee; Yunyoung Kim; Hyuck-Hoon Kwon; Chan Kim; Wonseok Choi 005 (IEEE Access, 2023)

Reinforcement Learning of Display Transfer Robots in Glass Flow Control Systems: A Physical Simulation-Based Approach. - Hwajong Lee; Chan Kim; Seong-Woo Kim (CoRR, 2023)

GIN: Graph-Based Interaction-Aware Constraint Policy Optimization for Autonomous Driving. - Se-Wook Yoo; Chan Kim; Jinwoo Choi 005; Seong-Woo Kim; Seung-Woo Seo (IEEE Robotics Autom. Lett., 2023)

Techno-economic analysis and process optimization of a PET chemical recycling process based on Bayesian optimization. - Jae Jung Urm; Jae Hwan Choi; Chan Kim; Jong Min Lee 002 (Comput. Chem. Eng., 2023)

Active Automotive Augmented Reality Displays using Reinforcement Learning. - Ju-Hyeok Ryu; Chan Kim; Seong-Woo Kim (ICRA, 2024)

MuNES: Multifloor Navigation Including Elevators and Stairs. - Donghwi Jung; Chan Kim; Jaekyung Cho; Seong-Woo Kim (CoRR, 2024)

E2Map: Experience-and-Emotion Map for Self-Reflective Robot Navigation with Language Models. - Chan Kim; Keonwoo Kim; Mintaek Oh; Hanbi Baek; Jiyang Lee; Donghwi Jung; Soojin Woo; Younkyung Woo; John Tucker 001; Roya Firoozi; Seung-Woo Seo; Mac Schwager; et al. (CoRR, 2024)

Adaptive Robot Traversability Estimation Based on Self-Supervised Online Continual Learning in Unstructured Environments. - Hyung-Suk Yoon; Ji-Hoon Hwang; Chan Kim; E In Son; Se-Wook Yoo; Seung-Woo Seo (IEEE Robotics Autom. Lett., 2024)

PTS-Map: Probabilistic Terrain State Map for Uncertainty-Aware Traversability Mapping in Unstructured Environments. - Dong-Wook Kim; E-In Son; Chan Kim; Ji-Hoon Hwang; Seung-Woo Seo (IEEE Robotics Autom. Lett., 2025)

LaMOuR: Leveraging Language Models for Out-of-Distribution Recovery in Reinforcement Learning. - Chan Kim; Seung-Woo Seo; Seong-Woo Kim (CoRR, 2025)

Language as Cost: Proactive Hazard Mapping using VLM for Robot Navigation. - Mintaek Oh; Chan Kim; Seung-Woo Seo; Seong-Woo Kim (CoRR, 2025)