Jongeun Choi - RankMe

101 papers A* 4A 2C 18Journal 61Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Group-Invariant Unsupervised Skill Discovery: Symmetry-aware Skill Representations for Generalizable Behavior. CoRR Junwoo Chang, Joseph Park, Roberto Horowitz, Jongmin Lee, Jongeun Choi
2025	J	`jnl`	Data-Driven Driver Training via Counterfactual and Language-Based Guidance in Racing Scenarios. IEEE Access Jonghak Bae, Hyeongwoo Nam, Kunhee Ryu, Jihye Lee, Jinsung Kim, Hokyun Chun, Jongtaek Han, Jongeun Choi
2025	—	`conf`	Development of a Driving Guidance System to Improve Racing Performance. ITSC Jongtaek Han, Kunhee Ryu, Jihye Lee, Jonghak Bae, Jaehyun Lim, Jongeun Choi, Jinsung Kim
2025	J	`jnl`	EquiContact: A Hierarchical SE(3) Vision-to-Force Equivariant Policy for Spatially Generalizable Contact-rich Tasks. CoRR Joohwan Seo, Arvind Kruthiventy, Soomi Lee, Megan Teng, Xiang Zhang, Seoyeon Choi, Jongeun Choi, Roberto Horowitz
2025	J	`jnl`	Geometric Formulation of Unified Force-Impedance Control on SE(3) for Robotic Manipulators. CoRR Joohwan Seo, Nikhil Potu Surya Prakash, Soomi Lee, Arvind Kruthiventy, Megan Teng, Jongeun Choi, Roberto Horowitz
2025	J	`jnl`	Learning Expert-Level Racing Strategies via Scheduled Cost Functions in Model Predictive Control. IEEE Trans. Intell. Veh. Jonghak Bae, Jaehyun Lim, Bogyeong Suh, Jinwon Lee, Kunhee Ryu, Jinsung Kim, Jongeun Choi
2025	J	`jnl`	Multi-Robot Motion Planning from Vision and Language using Heat-Inspired Diffusion. CoRR Jebeom Chae, Junwoo Chang, Seungho Yeom, Yujin Kim, Jongeun Choi
2025	J	`jnl`	Partially Equivariant Reinforcement Learning in Symmetry-Breaking Environments. CoRR Junwoo Chang, Minwoo Park, Joohwan Seo, Roberto Horowitz, Jongmin Lee, Jongeun Choi
2025	J	`jnl`	SE(3)-Equivariant Robot Learning and Control: A Tutorial Survey. CoRR Joohwan Seo, Soochul Yoo, Junwoo Chang, Hyunseok An, Hyunwoo Ryu, Soomi Lee, Arvind Kruthiventy, Jongeun Choi, Roberto Horowitz
2025	J	`jnl`	Scale-Equivariant Object Perception for Autonomous Driving. IEEE Trans. Intell. Veh. Taekhyung Cho, Hyeongwoo Nam, Jongeun Choi
2025	J	`jnl`	Symmetry-Aware Steering of Equivariant Diffusion Policies: Benefits and Limits. CoRR Minwoo Park, Junwoo Chang, Jongeun Choi, Roberto Horowitz
2024	C	`conf`	A Comparison Between Lie Group- and Lie Algebra- Based Potential Functions for Geometric Impedance Control. ACC Joohwan Seo, Nikhil Potu Surya Prakash, Jongeun Choi, Roberto Horowitz
2024	J	`jnl`	A Comparison Between Lie Group- and Lie Algebra- Based Potential Functions for Geometric Impedance Control. CoRR Joohwan Seo, Nikhil Potu Surya Prakash, Jongeun Choi, Roberto Horowitz
2024	J	`jnl`	AdvMT: Adversarial Motion Transformer for Long-term Human Motion Prediction. CoRR Sarmad Idrees, Jongeun Choi, Seokman Sohn
2024	—	`conf`	An Online Guide System for Improving Driving Skills on the Race Track: Visual Feedback Approach. HCI (60) Kunhee Ryu, Jinsung Kim, Jongtaek Han, Jonghak Bae, Bogyeong Suh, Jaehyun Lim, Jongeun Choi
2024	J	`jnl`	Autonomous Robot Racing Competitions: Truly Multivehicle Autonomous Racing Competitions [Competitions]. IEEE Robotics Autom. Mag. Heechan Moon, Shin Han Kang, Jeongsik Eom, Myun Joong Hwang, Youngmin Kim, Jungha Wang, Beomjun Kim, TaeHyung Kim, Taekwon Ga, Jongeun Choi, Wonsang You, Jiyou Shin, Jongsoo Han, Kyeongbeen Park, Hyungpil Moon, Seok-Cheol Kee, Hak-Jin Kim, Yong-Hyun Kim, Kibeom Lee, Jaeseung Yu
2024	J	`jnl`	Contact-Rich SE(3)-Equivariant Robot Manipulation Task Learning via Geometric Impedance Control. IEEE Robotics Autom. Lett. Joohwan Seo, Nikhil Potu Surya Prakash, Xiang Zhang, Changhao Wang, Jongeun Choi, Masayoshi Tomizuka, Roberto Horowitz
2024	A	`conf`	Deep Geometric Potential Functions for Tracking on Manifolds. IROS Nikhil Potu Surya Prakash, Joohwan Seo, Koushil Sreenath, Jongeun Choi, Roberto Horowitz
2024	J	`jnl`	Differentiable Moving Horizon Estimation for Vehicle Kinematics via Learning Covariance Matrices. IEEE Trans. Intell. Veh. Seungwoo Jeong, Jongeun Choi
2024	A*	`conf`	Diffusion-EDFs: Bi-Equivariant Denoising Generative Modeling on SE(3) for Visual Robotic Manipulation. CVPR Hyunwoo Ryu, JiWoo Kim, Hyunseok An, Junwoo Chang, Joohwan Seo, Taehan Kim, Yubin Kim, Chaewon Hwang, Jongeun Choi, Roberto Horowitz
2024	J	`jnl`	Human Motion Prediction: Assessing Direct and Geometry-Aware Approaches in 3D Space. IEEE Access Sarmad Idrees, JiWoo Kim, Jongeun Choi, Seokman Sohn
2023	J	`jnl`	Clustering Techniques for Stable Linear Dynamical Systems with applications to Hard Disk Drives. CoRR Nikhil Potu Surya Prakash, Joohwan Seo, Jongeun Choi, Roberto Horowitz
2023	J	`jnl`	Denoising Heat-inspired Diffusion with Insulators for Collision Free Motion Planning. CoRR Junwoo Chang, Hyunwoo Ryu, JiWoo Kim, Soochul Yoo, Joohwan Seo, Nikhil Potu Surya Prakash, Jongeun Choi, Roberto Horowitz
2023	J	`jnl`	Diffusion-EDFs: Bi-equivariant Denoising Generative Modeling on SE(3) for Visual Robotic Manipulation. CoRR Hyunwoo Ryu, JiWoo Kim, Junwoo Chang, Hyun-Seok Ahn, Joo-Hwan Seo, Taehan Kim, Yubin Kim, Jongeun Choi, Roberto Horowitz
2023	J	`jnl`	Distributional and hierarchical reinforcement learning for physical systems with noisy state observations and exogenous perturbations. Eng. Appl. Artif. Intell. Jehyun Park, Jongeun Choi, Sungjae Nah, Dohee Kim
2023	A*	`conf`	Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning. ICLR Hyunwoo Ryu, Hong-in Lee, Jeong-Hoon Lee, Jongeun Choi
2023	J	`jnl`	Explainable deep learning-based clinical decision support engine for MRI-based automated diagnosis of temporomandibular joint anterior disk displacement. Comput. Methods Programs Biomed. Kyubaek Yoon, Jae-Young Kim, Sun-Jong Kim, Jong-Ki Huh, Jin-Woo Kim, Jongeun Choi
2023	J	`jnl`	Integration and Evaluation of an Immersive Virtual Platform. IEEE Access Hyeonwoo Lee, Woosuk Byun, Heecheon Lee, Yusin Kang, Jongeun Choi
2023	J	`jnl`	Robot Manipulation Task Learning by Leveraging SE(3) Group Invariance and Equivariance. CoRR Joo-Hwan Seo, Nikhil Potu Surya Prakash, Xiang Zhang, Changhao Wang, Jongeun Choi, Masayoshi Tomizuka, Roberto Horowitz
2023	J	`jnl`	Suspension Control Strategies Using Switched Soft Actor-Critic Models for Real Roads. IEEE Trans. Ind. Electron. Hwanmoo Yong, Joo-Hwan Seo, Jaeyoung Kim, Myounghoe Kim, Jongeun Choi
2022	J	`jnl`	Behavior Tree-Based Asynchronous Task Planning for Multiple Mobile Robots using a Data Distribution Service. CoRR Seungwoo Jeong, Taekwon Ga, Inhwan Jeong, Jongeun Choi
2022	—	`conf`	Behavior Tree-Based Task Planning for Multiple Mobile Robots using a Data Distribution Service. AIM Seungwoo Jeong, Taekwon Ga, Inhwan Jeong, Jongeun Choi
2022	J	`jnl`	Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning. CoRR Hyunwoo Ryu, Jeong-Hoon Lee, Hong-in Lee, Jongeun Choi
2022	J	`jnl`	Hierarchical Primitive Composition: Simultaneous Activation of Skills With Inconsistent Action Dimensions in Multiple Hierarchies. IEEE Robotics Autom. Lett. Jeong-Hoon Lee, Jongeun Choi
2022	J	`jnl`	Layered Cost-Map-Based Traffic Management for Multiple Automated Mobile Robots via a Data Distribution Service. CoRR Seungwoo Jeong, Taekwon Ga, Inhwan Jeong, Jongkyu Oh, Jongeun Choi
2022	J	`jnl`	Nonaffine Helicopter Control Design and Implementation Based on a Robust Explicit Nonlinear Model Predictive Control. IEEE Trans. Control. Syst. Technol. Joo-Hwan Seo, Seongwon Lee, Joonho Lee, Jongeun Choi
2022	A	`conf`	Nonlinear Model Predictive Control with Cost Function Scheduling for a Wheeled Mobile Robot. IROS Jaehyun Lim, Hyeonwoo Lee, Jongeun Choi
2022	J	`jnl`	Regularized nonlinear regression for simultaneously selecting and estimating key model parameters: Application to head-neck position tracking. Eng. Appl. Artif. Intell. Kyubaek Yoon, Hojun You, Wei-Ying Wu, Chae Young Lim, Jongeun Choi, Connor Boss, Ahmed Ramadan, John M. Popovich Jr., Jacek Cholewicki, N. Peter Reeves, Clark J. Radcliffe
2022	J	`jnl`	Safety-Critical Control With Nonaffine Control Inputs Via a Relaxed Control Barrier Function for an Autonomous Vehicle. IEEE Robotics Autom. Lett. Joo-Hwan Seo, Joonho Lee, Eunkyu Baek, Roberto Horowitz, Jongeun Choi
2021	J	`jnl`	Attaining Interpretability in Reinforcement Learning via Hierarchical Primitive Composition. CoRR Jeong-Hoon Lee, Jongeun Choi
2021	J	`jnl`	Correction to "Gaussian Process Online Learning With a Sparse Data Stream". IEEE Robotics Autom. Lett. Jaehyun Lim, Jehyun Park, Jongeun Choi
2021	J	`jnl`	Diagnosis of obstructive sleep apnea with prediction of flow characteristics according to airway morphology automatically extracted from medical images: Computational fluid dynamics and artificial intelligence approach. Comput. Methods Programs Biomed. Susie Ryu, Jun Hong Kim, Heejin Yu, Hwi-Dong Jung, Suk Won Chang, Jeong Jin Park, Soonhyuk Hong, Hyung-Ju Cho, Yoon Jeong Choi, Jongeun Choi, Joon Sang Lee
2021	J	`jnl`	Machine learning approaches to surrogate multifidelity Growth and Remodeling models for efficient abdominal aortic aneurysmal applications. Comput. Biol. Medicine Zhenxiang Jiang, Jongeun Choi, Seungik Baek
2021	A*	`conf`	Multi-output Infinite Horizon Gaussian Processes. ICRA Jaehyun Lim, Jehyun Park, Sungjae Nah, Jongeun Choi
2021	J	`jnl`	Output feedback control design using Extended High-Gain Observers and dynamic inversion with projection for a small scaled helicopter. Autom. Joonho Lee, Joo-Hwan Seo, Jongeun Choi
2021	J	`jnl`	Regularized Nonlinear Regression for Simultaneously Selecting and Estimating Key Model Parameters. CoRR Kyubaek Yoon, Hojun You, Wei-Ying Wu, Chae Young Lim, Jongeun Choi, Connor Boss, Ahmed Ramadan, John M. Popovich Jr., Jacek Cholewicki, N. Peter Reeves, Clark J. Radcliffe
2020	J	`jnl`	Customer-Specific Robotic Attendant for VR Simulators. IEEE Trans Autom. Sci. Eng. Jehyun Park, Hwanmoo Yong, Seungchul Ha, Jisuk Lee, Jongeun Choi
2020	J	`jnl`	Gaussian Process Online Learning With a Sparse Data Stream. IEEE Robotics Autom. Lett. Jehyun Park, Jongeun Choi
2020	J	`jnl`	Model Predictive Tracking Control for Invariant Systems on Matrix Lie Groups via Stable Embedding Into Euclidean Spaces. IEEE Trans. Autom. Control. Dong Eui Chang, Karmvir Singh Phogat, Jongeun Choi
2020	J	`jnl`	Multifidelity Sampling for Fast Bayesian Shape Estimation With Tactile Exploration. IEEE Trans. Ind. Informatics Shiyi Yang, Soo Jeon, Jongeun Choi
2020	J	`jnl`	Unexpected Collision Avoidance Driving Strategy Using Deep Reinforcement Learning. IEEE Access Myounghoe Kim, Seongwon Lee, Jaehyun Lim, Jongeun Choi, Seong Gu Kang
2019	J	`jnl`	Driving Assistant Companion With Voice Interface Using Long Short-Term Memory Networks. IEEE Trans. Ind. Informatics Jehyun Park, Hojoon Son, Jisuk Lee, Jongeun Choi
2019	A*	`conf`	Emotion Recognition in Gamers Wearing Head-mounted Display. VR Hwanmoo Yong, Jisuk Lee, Jongeun Choi
2019	J	`jnl`	Inferring Control Intent During Seated Balance Using Inverse Model Predictive Control. IEEE Robotics Autom. Lett. Ahmed Ramadan, Jongeun Choi, Clark J. Radcliffe, John M. Popovich, N. Peter Reeves
2019	J	`jnl`	Model Predictive Tracking Control for Invariant Systems on Matrix Lie Groups via Stable Embedding into Euclidean Spaces. CoRR Dong Eui Chang, Karmvir Singh Phogat, Jongeun Choi
2019	J	`jnl`	Patient-Specific Prediction of Abdominal Aortic Aneurysm Expansion Using Bayesian Calibration. IEEE J. Biomed. Health Informatics Liangliang Zhang, Zhenxiang Jiang, Jongeun Choi, Chae Young Lim, Tapabrata Maiti, Seungik Baek
2019	J	`jnl`	Prediction of Abdominal Aortic Aneurysm Growth Using Dynamical Gaussian Process Implicit Surface. IEEE Trans. Biomed. Eng. Huan N. Do, Ahsan Ijaz, Hamidreza Gharahi, Byron Zambrano, Jongeun Choi, Whal Lee, Seungik Baek
2018	J	`jnl`	Fully Bayesian Prediction Algorithms for Mobile Robotic Sensors under Uncertain Localization Using Gaussian Markov Random Fields. Sensors Mahdi Jadaliha, Jinho Jeong, Yunfei Xu, Jongeun Choi, Jung Hoon Kim
2018	—	`conf`	GA-Based Filter Selection for Representation in Convolutional Neural Networks. ECCV Workshops (4) Junbong Kim, Minki Lee, Jongeun Choi, Kisung Seo
2017	—	`conf`	Robotic solutions to facilitate studying human motor control. URAI Ahmed Ramadan, Jongeun Choi, Clark J. Radcliffe, Jacek Cholewicki, N. Peter Reeves, John M. Popovich
2016	C	`conf`	Inferring human subject motor control intent using inverse MPC. ACC Ahmed Ramadan, Jongeun Choi, Clark J. Radcliffe
2016	—	`conf`	New implementation of high-gain observers in the presence of measurement noise using stochastic approximation. ECC Joonho Lee, Jongeun Choi, Hassan K. Khalil
2016	—	`conf`	Tracking Heteroscedastic Progression of Opinions with an Aggregation Bias Correction Model. ICSC Ahsan Ijaz, Jongeun Choi
2015	—	`conf`	Appearance-based localization using Group LASSO regression with an indoor experiment. AIM Huan N. Do, Jongeun Choi, Chae Young Lim, Tapabrata Maiti
2015	J	`jnl`	Feature selection for position estimation using an omnidirectional camera. Image Vis. Comput. Huan N. Do, Mahdi Jadaliha, Jongeun Choi, Chae Young Lim
2015	—	`conf`	Feedback control of three-bead achiral robotic microswimmers. URAI U. Kei Cheang, Hoyeon Kim, Dejan Milutinovic, Jongeun Choi, Louis W. Rogowski, Min Jun Kim
2015	J	`jnl`	Solutions to the Inverse LQR Problem With Application to Biological Systems Analysis. IEEE Trans. Control. Syst. Technol. Martin Cody Priess, Richard Conway, Jongeun Choi, John M. Popovich, Clark Radcliffe
2015	C	`conf`	Visual feature selection for GP-based localization using an omnidirectional camera. ACC Huan N. Do, Jongeun Choi, Chae Young Lim
2014	C	`conf`	Time-domain optimal experimental design in human postural control testing. ACC Martin Cody Priess, Jongeun Choi, Clark Radcliffe, John M. Popovich, Jacek Cholewicki, N. Peter Reeves
2013	—	`conf`	Distributed Gaussian process regression for mobile sensor networks under localization uncertainty. CDC Sungjoon Choi, Mahdi Jadaliha, Jongeun Choi, Songhwai Oh
2013	C	`conf`	Dynamic, output-feedback, gain-scheduling control of an electric variable valve timing system. ACC Andrew P. White, Jongeun Choi, Guoming Zhu
2013	J	`jnl`	Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields. Autom. Yunfei Xu, Jongeun Choi, Sarat C. Dass, Tapabrata Maiti
2013	J	`jnl`	Environmental Monitoring Using Autonomous Aquatic Robots: Sampling Algorithms and Experiments. IEEE Trans. Control. Syst. Technol. Mahdi Jadaliha, Jongeun Choi
2013	C	`conf`	Fully Bayesian simultaneous localization and spatial prediction using Gaussian Markov random fields (GMRFs). ACC Mahdi Jadaliha, Jongeun Choi
2013	J	`jnl`	Gaussian Process Regression for Sensor Networks Under Localization Uncertainty. IEEE Trans. Signal Process. Mahdi Jadaliha, Yunfei Xu, Jongeun Choi, Nicholas S. Johnson, Weiming Li
2013	C	`conf`	Guaranteed ℓ2 to ℓ∞ control for discrete-time polytopic LPV systems. ACC Andrew P. White, Guoming Zhu, Jongeun Choi
2013	—	`book`	Linear Parameter-Varying Control for Engineering Applications Andrew P. White, Guoming Zhu, Jongeun Choi
2013	J	`jnl`	Mixed H IEEE Trans. Control. Syst. Technol. Andrew P. White, Zhen Ren, Guoming Zhu, Jongeun Choi
2012	—	`conf`	A unified Bayesian approach for prediction and detection using mobile sensor networks. CDC Yunfei Xu, Jongeun Choi, Sarat C. Dass, Tapabrata Maiti
2012	C	`conf`	Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields. ACC Yunfei Xu, Jongeun Choi, Sarat C. Dass, Tapabrata Maiti
2012	C	`conf`	Gaussian process regression using Laplace approximations under localization uncertainty. ACC Mahdi Jadaliha, Yunfei Xu, Jongeun Choi
2012	J	`jnl`	Sequential Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks. IEEE Trans. Autom. Control. Yunfei Xu, Jongeun Choi, Sarat C. Dass, Tapabrata Maiti
2012	J	`jnl`	Spatial prediction with mobile sensor networks using Gaussian processes with built-in Gaussian Markov random fields. Autom. Yunfei Xu, Jongeun Choi
2011	J	`jnl`	Adaptive Sampling for Learning Gaussian Processes Using Mobile Sensor Networks. Sensors Yunfei Xu, Jongeun Choi
2011	C	`conf`	Bayesian prediction and adaptive sampling algorithms for mobile sensor networks. ACC Yunfei Xu, Jongeun Choi, Sarat C. Dass, Taps Maiti
2011	C	`conf`	Dynamic gain-scheduling controller design for port-fuel-injection processes. ACC Andrew P. White, Jongeun Choi, Guoming Zhu
2011	J	`jnl`	Hardware-in-the-Loop Simulation of Robust Gain-Scheduling Control of Port-Fuel-Injection Processes. IEEE Trans. Control. Syst. Technol. Andrew P. White, Guoming Zhu, Jongeun Choi
2011	J	`jnl`	Mobile Sensor Network Navigation Using Gaussian Processes With Truncated Observations. IEEE Trans. Robotics Yunfei Xu, Jongeun Choi, Songhwai Oh
2010	—	`conf`	Distributed learning in mobile sensor networks using cross validation. CDC Songhwai Oh, Jongeun Choi
2010	—	`conf`	Explorative navigation of mobile sensor networks using sparse Gaussian processes. CDC Songhwai Oh, Yunfei Xu, Jongeun Choi
2010	C	`conf`	Gain-scheduling control of port-fuel-injection processes. ACC Andrew P. White, Jongeun Choi, Ryozo Nagamune, Guoming Zhu
2010	J	`jnl`	Learning Coverage Control of Mobile Sensing Agents in One-Dimensional Stochastic Environments. IEEE Trans. Autom. Control. Jongeun Choi, Roberto Horowitz
2010	C	`conf`	Stochastic adaptive sampling for mobile sensor networks using kernel regression. ACC Yunfei Xu, Jongeun Choi
2009	J	`jnl`	Distributed learning and cooperative control for multi-agent systems. Autom. Jongeun Choi, Songhwai Oh, Roberto Horowitz
2009	C	`conf`	Mobile Sensor Networks for Learning Anisotropic Gaussian Processes. ACC Yunfei Xu, Jongeun Choi
2009	—	`conf`	Posture-Predictive Power Control in Body Sensor Networks Using Linear-Quadratic Gaussian Control. NetCoM Muhannad Quwaider, Azizah Muhammad, Jongeun Choi, Subir Biswas
2008	C	`conf`	Parameter reduction of nonlinear least-squares estimates via nonconvex optimization. ACC Ryozo Nagamune, Jongeun Choi
2008	C	`conf`	Swarm intelligence for achieving the global maximum using spatio-temporal Gaussian processes. ACC Jongeun Choi, Joonho Lee, Songhwai Oh
2007	—	`conf`	Cooperatively learning mobile agents for gradient climbing. CDC Jongeun Choi, Songhwai Oh, Roberto Horowitz
2006	C	`conf`	Synthesis of multiple robust controllers for parametric uncertain LTI systems. ACC Jongeun Choi, Ryozo Nagamune, Roberto Horowitz
2005	C	`conf`	Topology preserving neural networks that achieve a prescribed feature map probability density distribution. ACC Jongeun Choi, Roberto Horowitz