Human brain response to visual fatigue caused by stereoscopic depth perception. - Dongchan Kim; Yong Ju Jung; Eunwoo Kim; Yong Man Ro; HyunWook Park (DSP, 2011)

A Passive Measurement System for Network Testbeds. - Charles Thomas 001; Joel Sommers; Paul Barford; Dongchan Kim; Ananya Das 004; Roberto Segebre; Mark Crovella (TRIDENTCOM, 2012)

Subjective and objective measurements of visual fatigue induced by excessive disparities in stereoscopic images. - Yong Ju Jung; Dongchan Kim; Hosik Sohn; Seong-il Lee; Hyun Wook Park; Yong Man Ro (SD&A, 2013)

Adaptive data transmission in the cloud. - Wenfei Wu; Yizheng Chen 005; Ramakrishnan Durairajan; Dongchan Kim; Ashok Anand; Aditya Akella (IWQoS, 2013)

fMRI analysis of excessive binocular disparity on the human brain. - Dongchan Kim; Yong Ju Jung; Yeji Han; Joonsung Choi; Eunwoo Kim; Bumseok Jeong; Yong Man Ro; HyunWook Park (Int. J. Imaging Syst. Technol., 2014)

An optimal RF shielding method for MR-PET fusion system with insertable PET. - Changheun Oh; Yeji Han; Dongchan Kim; Hyunkeong Lim; Yong Choi; Gyuseong Cho; HyunWook Park (Int. J. Imaging Syst. Technol., 2014)

A new metric for judder in high frame-rate video. - Se Ri Oh; Dongchan Kim; Pyeong Gang Heo; HyunWook Park (ICIP, 2016)

Multi-contrast MR image denoising for parallel imaging using multilayer perceptron. - Kinam Kwon; Dongchan Kim; HyunWook Park (Int. J. Imaging Syst. Technol., 2016)

Domain Attention with an Ensemble of Experts. - Young-Bum Kim; Karl Stratos; Dongchan Kim (ACL (1), 2017)

Adversarial Adaptation of Synthetic or Stale Data. - Young-Bum Kim; Karl Stratos; Dongchan Kim (ACL (1), 2017)

Local trajectory planning and control for autonomous vehicles using the adaptive potential field. - Dongchan Kim; Hayoung Kim; Kunsoo Huh (CCTA, 2017)

Intervention minimized semi-autonomous control using decoupled model predictive control. - Hayoung Kim; Jeongmin Cho; Dongchan Kim; Kunsoo Huh (Intelligent Vehicles Symposium, 2017)

Efficient Large-Scale Neural Domain Classification with Personalized Attention. - Young-Bum Kim; Dongchan Kim; Anjishnu Kumar; Ruhi Sarikaya (ACL (1), 2018)

Trajectory Planning for Autonomous Highway Driving Using the Adaptive Potential Field. - Dongchan Kim; Hayoung Kim; Kunsoo Huh (ITSC, 2018)

A Learning-Based Metal Artifacts Correction Method for MRI Using Dual-Polarity Readout Gradients and Simulated Data. - Kinam Kwon; Dongchan Kim; HyunWook Park (MICCAI (1), 2018)

ETER-net: End to End MR Image Reconstruction Using Recurrent Neural Network. - Changheun Oh; Dongchan Kim; Jun-Young Chung; Yeji Han; HyunWook Park (MLMIR@MICCAI, 2018)

A Scalable Neural Shortlisting-Reranking Approach for Large-Scale Domain Classification in Natural Language Understanding. - Young-Bum Kim; Dongchan Kim; Joo-Kyung Kim; Ruhi Sarikaya (NAACL-HLT (3), 2018)

Coupled Representation Learning for Domains, Intents and Slots in Spoken Language Understanding. - Jihwan Lee; Dongchan Kim; Ruhi Sarikaya; Young-Bum Kim (SLT, 2018)

Efficient Large-Scale Domain Classification with Personalized Attention. - Young-Bum Kim; Dongchan Kim; Anjishnu Kumar; Ruhi Sarikaya (CoRR, 2018)

Action Conditioned Response Prediction with Uncertainty for Automated Vehicles. - Hayoung Kim; Gihoon Kim; Jongwon Park; Kyushik Min; Dongchan Kim; Kunsoo Huh (ISPACS, 2019)

Autonomous Vehicle Trajectory Planning and Control Based on Traffic Motion Prediction. - Yuho Song; Dongchan Kim; Kunsoo Huh (ISPACS, 2019)

Pediatric brain extraction from T2-weighted MR images using 3D dual frame U-net and human connectome database. - Dongchan Kim; Jong-Hee Chae; Yeji Han (Int. J. Imaging Syst. Technol., 2019)

A New No-Reference Method for Judder Artifact Assessment. - Se Ri Oh; Seyoon Jeong; Pyeong Gang Heo; Dongchan Kim; Hui Yong Kim; HyunWook Park (IEEE Trans. Circuits Syst. Video Technol., 2019)

RNN-Based Path Prediction of Obstacle Vehicles With Deep Ensemble. - Kyushik Min; Dongchan Kim; Jongwon Park; Kunsoo Huh (IEEE Trans. Veh. Technol., 2019)

Multi-Head Attention based Probabilistic Vehicle Trajectory Prediction. - Hayoung Kim; Dongchan Kim; Gihoon Kim; Jeongmin Cho; Kunsoo Huh (IV, 2020)

Interaction Aware Trajectory Prediction of Surrounding Vehicles with Interaction Network and Deep Ensemble. - Kyushik Min; Hayoung Kim; Jongwon Park; Dongchan Kim; Kunsoo Huh (IV, 2020)

DSA-GAN: Driving Style Attention Generative Adversarial Network for Vehicle Trajectory Prediction. - Seungwon Choi; Nahyun Kweon; Chanuk Yang; Dongchan Kim; Hyukju Shon; Jaewoong Choi; Kunsoo Huh (ITSC, 2021)

Hybrid Approach for Vehicle Trajectory Prediction Using Weighted Integration of Multiple Models. - Gihoon Kim; Dongchan Kim; Yoonyong Ahn; Kunsoo Huh (IEEE Access, 2021)

An Integrated Deep Ensemble-Unscented Kalman Filter for Sideslip Angle Estimation With Sensor Filtering Network. - Dongchan Kim; Gihoon Kim; Seungwon Choi; Kunsoo Huh (IEEE Access, 2021)

Driving Style-Based Conditional Variational Autoencoder for Prediction of Ego Vehicle Trajectory. - Dongchan Kim; Hyukju Shon; Nahyun Kweon; Seungwon Choi; Chanuk Yang; Kunsoo Huh (IEEE Access, 2021)

Neural Motion Planning for Autonomous Parking. - Dongchan Kim; Kunsoo Huh (CoRR, 2021)

A Hierarchical Motion Planning Framework for Autonomous Driving in Structured Highway Environments. - Dongchan Kim; Gihoon Kim; Hayoung Kim; Kunsoo Huh (IEEE Access, 2022)

Comparative analysis of the kernel types in generalized autocalibrating partially parallel acquisition algorithms for accelerated three-dimensional magnetic resonance spectroscopic imaging data. - Junghyun Song; Dongchan Kim; Yeji Han; Jun-Young Chung (Int. J. Imaging Syst. Technol., 2022)

Recurrent Neural Network With Preisach Model for Configuration-Specific Hysteresis Modeling of Tendon-Sheath Mechanism. - Dongchan Kim; Hongmin Kim; Sangrok Jin (IEEE Robotics Autom. Lett., 2022)

CUE-M: Contextual Understanding and Enhanced Search with Multimodal Large Language Model. - Dongyoung Go; Taesun Whang; Chanhee Lee; Hwa-Yeon Kim; Sunghoon Park; Seunghwan Ji; Jinho Kim; Dongchan Kim; Young-Bum Kim (CoRR, 2024)

Hysteresis Compensation of Tendon-Sheath Mechanism Using Nonlinear Programming Based on Preisach Model. - Hongmin Kim; Dongchan Kim; Su Hyeon Park; Sangrok Jin (IEEE Robotics Autom. Lett., 2024)

Spatiotemporal Traffic Analysis: Deep Hybrid Approach for Resource and Cyberattacks Prediction. - Hyeonmin Lee; Dongchan Kim; Donggyu Beom; Gyurin Byun; Van Vi Vo; Hyunseung Choo (IMCOM, 2025)

Identifying Flaky Tests in Quantum Code: A Machine Learning Approach. - Khushdeep Kaur; Dongchan Kim; Ainaz Jamshidi; Lei Zhang 078 (CoRR, 2025)

A Survey of Predictive Maintenance Methods: An Analysis of Prognostics via Classification and Regression. - Ainaz Jamshidi; Dongchan Kim; Muhammad Arif (CoRR, 2025)

Do Not Mimic My Voice: Speaker Identity Unlearning for Zero-Shot Text-to-Speech. - Taesoo Kim; Jinju Kim; Dongchan Kim; Jong Hwan Ko; Gyeong-Moon Park (CoRR, 2025)