Unified finite-time error analysis of soft Q-learning - Narim Jeong; Donghwan Lee (Neurocomputing, 2025)

Subjective-Bayesian-Network-Based Interdependent Mission Impact Assessment With Game-Theoretic Attack-Defense Interactions - Han Jun Yoon; Ashrith Reddy Thukkaraju; Shou Matsumoto; Jair Feldens Ferrari; Donghwan Lee; Myung Kil Ahn; Paulo Costa; Jin-Hee Cho (IEEE Internet Things J., 2025)

Analysis of Off-Policy n-Step TD-Learning with Linear Function Approximation - Han-Dong Lim; Donghwan Lee (CoRR, 2025)

Robust Deterministic Policy Gradient for Disturbance Attenuation and Its Application to Quadrotor Control - Taeho Lee; Donghwan Lee (CoRR, 2025)

Anomaly Detection via a Bottleneck Structure Robust to Noise in In-Distribution Samples - Yeongkyu Cho; Donghwan Lee; Youngjoo Hyun; Wooju Kim (IEEE Access, 2024)

Finite-Time Analysis of Asynchronous Q-Learning Under Diminishing Step-Size From Control-Theoretic View - Han-Dong Lim; Donghwan Lee (IEEE Access, 2024)

Bayesian Stackelberg game approach for cyber mission impact assessment - Donghwan Lee; Donghwa Kim; Myung Kil Ahn; Seongkee Lee (ICT Express, 2024)

Lossless convexification and duality - Donghwan Lee (J. Frankl. Inst., 2024)

Final Iteration Convergence Bound of Q-Learning: Switching System Approach - Donghwan Lee (IEEE Trans. Autom. Control., 2024)

Suppressing Overestimation in Q-Learning Through Adversarial Behaviors - HyeAnn Lee; Donghwan Lee (60th Annual Allerton Conference on Communication, Control, and Computing, Urbana, IL, USA, September 24-27, 2024, 2024)

Finite-Time Error Analysis of Soft Q-Learning: Switching System Approach - Narim Jeong; Donghwan Lee (63rd IEEE Conference on Decision and Control, CDC 2024, Milan, Italy, December 16-19, 2024, 2024)

A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks - Behrad Moniri; Donghwan Lee; Hamed Hassani; Edgar Dobriban (Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, 2024)

WayIL: Image-based Indoor Localization with Wayfinding Maps - Obin Kwon; Dongki Jung; Youngji Kim; Soohyun Ryu; Suyong Yeon; Songhwai Oh; Donghwan Lee (IEEE International Conference on Robotics and Automation, ICRA 2024, Yokohama, Japan, May 13-17, 2024, 2024)

Deeper Introspective SLAM: How to Avoid Tracking Failures Over Longer Routes? - Kanwal Naveed; Muhammad Latif Anjum; Wajahat Hussain; Donghwan Lee (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024, Abu Dhabi, United Arab Emirates, October 14-18, 2024, 2024)

Regularized Q-Learning - Han-Dong Lim; Donghwan Lee (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

iMIA: Interdependent Mission Impact Assessment Using Subjective Bayesian Networks - Han Jun Yoon; Ashrith Reddy Thukkaraju; Shou Matsumoto; Jair Feldens Ferrari; Donghwan Lee; Myung Kil Ahn; Paulo C. G. Costa; Jin-Hee Cho (NOMS 2024 IEEE Network Operations and Management Symposium, Seoul, Republic of Korea, May 6-10, 2024, 2024)

Analysis of Off-Policy Multi-Step TD-Learning with Linear Function Approximation - Donghwan Lee (CoRR, 2024)

Finite-Time Error Analysis of Soft Q-Learning: Switching System Approach - Narim Jeong; Donghwan Lee (CoRR, 2024)

Unified ODE Analysis of Smooth Q-Learning Algorithms - Donghwan Lee (CoRR, 2024)

Improved Cyber Defense Modeling Framework for Modeling and Simulating the Lifecycle of Cyber Defense Activities - Donghwa Kim; Myung Kil Ahn; Seongkee Lee; Donghwan Lee; Moosung Park; Dongkyoo Shin (IEEE Access, 2023)

T-Cal: An Optimal Test for the Calibration of Predictive Models - Donghwan Lee; Xinmeng Huang; Hamed Hassani; Edgar Dobriban (J. Mach. Learn. Res., 2023)

On Some Geometric Behavior of Value Iteration on the Orthant: Switching System Perspective - Donghwan Lee (62nd IEEE Conference on Decision and Control, CDC 2023, Singapore, December 13-15, 2023, 2023)

TMO: Textured Mesh Acquisition of Objects with a Mobile Device by using Differentiable Rendering - Jaehoon Choi; Dongki Jung; Taejae Lee; Sangwook Kim; Youngdong Jung; Dinesh Manocha; Donghwan Lee (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023, 2023)

Software-Friendly Subjective Bayesian Networks: Reasoning within a Software-Centric Mission Impact Assessment Framework - Shou Matsumoto; Jair Feldens Ferrari; Han Jun Yoon; Ashrith Reddy Thukkaraju; Donghwan Lee; Myung Kil Ahn; Jin-Hee Cho; Paulo C. G. Costa (26th International Conference on Information Fusion, FUSION 2023, Charleston, SC, USA, June 27-30, 2023, 2023)

Demystifying Disagreement-on-the-Line in High Dimensions - Donghwan Lee; Behrad Moniri; Xinmeng Huang; Edgar Dobriban; Hamed Hassani (International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA, 2023)

Interdependent Mission Impact Assessment of an IoT System with Hypergame- heoretic Attack-Defense Behavior Modeling - Ashrith Reddy Thukkaraju; Han Jun Yoon; Shou Matsumoto; Jair Feldens Ferrari; Donghwan Lee; Myung Kil Ahn; Paulo C. G. Costa; Jin-Hee Cho (31st International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, MASCOTS 2023, Stony Brook, NY, USA, October 16-18, 2023, 2023)

Demystifying Disagreement-on-the-Line in High Dimensions - Donghwan Lee; Behrad Moniri; Xinmeng Huang; Edgar Dobriban; Hamed Hassani (CoRR, 2023)

TMO: Textured Mesh Acquisition of Objects with a Mobile Device by using Differentiable Rendering - Jaehoon Choi; Dongki Jung; Taejae Lee; Sangwook Kim; Youngdong Jung; Dinesh Manocha; Donghwan Lee (CoRR, 2023)

On Some Geometric Behavior of Value Iteration on the Orthant: Switching System Perspective - Donghwan Lee (CoRR, 2023)

Finite-Time Analysis of Minimax Q-Learning for Two-Player Zero-Sum Markov Games: Switching System Approach - Donghwan Lee (CoRR, 2023)

Optimal Heterogeneous Collaborative Linear Regression and Contextual Bandits - Xinmeng Huang; Kan Xu; Donghwan Lee; Hamed Hassani; Hamsa Bastani; Edgar Dobriban (CoRR, 2023)

Suppressing Overestimation in Q-Learning through Adversarial Behaviors - HyeAnn Lee; Donghwan Lee (CoRR, 2023)

A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks - Behrad Moniri; Donghwan Lee; Hamed Hassani; Edgar Dobriban (CoRR, 2023)

ICSTASY: An Integrated Cybersecurity Training System for Military Personnel - Donghwan Lee; Donghwa Kim; Changwon Lee; Myung Kil Ahn; Wonjun Lee (IEEE Access, 2022)

Study on Prioritization of Actions by Classifying and Quantifying Cyber Operational Elements Using 5W1H Method - Kookjin Kim; Sukjoon Yoon; Donghwan Lee; Jisoo Jang; Haengrok Oh; Dongkyoo Shin (IEEE Access, 2022)

Deep introspective SLAM: deep reinforcement learning based approach to avoid tracking failure in visual SLAM - Kanwal Naveed; Muhammad Latif Anjum; Wajahat Hussain; Donghwan Lee (Auton. Robots, 2022)

A practical framework for cyber defense generation, enforcement and evaluation - Simon Yusuf Enoch; Chun Yong Moon; Donghwan Lee; Myung Kil Ahn; Dong Seong Kim (Comput. Networks, 2022)

Investigating the Role of Image Retrieval for Visual Localization - Martin Humenberger; Yohann Cabon; Noé Pion; Philippe Weinzaepfel; Donghwan Lee; Nicolas Guérin; Torsten Sattler; Gabriela Csurka (Int. J. Comput. Vis., 2022)

Block Double-Submission Attack: Block Withholding Can Be Self-Destructive - Suhyeon Lee; Donghwan Lee; Seungjoo Kim (Proceedings of the 4th ACM Conference on Advances in Financial Technologies, AFT 2022, Cambridge, MA, USA, September 19-21, 2022, 2022)

SelfTune: Metrically Scaled Monocular Depth Estimation through Self-Supervised Learning - Jaehoon Choi; Dongki Jung; Yonghan Lee; Deokhwa Kim; Dinesh Manocha; Donghwan Lee (2022 International Conference on Robotics and Automation, ICRA 2022, Philadelphia, PA, USA, May 23-27, 2022, 2022)

A Single Correspondence Is Enough: Robust Global Registration to Avoid Degeneracy in Urban Environments - Hyungtae Lim; Suyong Yeon; Soo-Hyun Ryu; Yonghan Lee; Youngji Kim; Jaeseong Yun; Euigon Jung; Donghwan Lee; Hyun Myung (2022 International Conference on Robotics and Automation, ICRA 2022, Philadelphia, PA, USA, May 23-27, 2022, 2022)

Collaborative Learning of Discrete Distributions under Heterogeneity and Communication Constraints - Xinmeng Huang; Donghwan Lee; Edgar Dobriban; Hamed Hassani (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

T-Cal: An optimal test for the calibration of predictive models - Donghwan Lee; Xinmeng Huang; Hamed Hassani; Edgar Dobriban (CoRR, 2022)

SelfTune: Metrically Scaled Monocular Depth Estimation through Self-Supervised Learning - Jaehoon Choi; Dongki Jung; Yonghan Lee; Deokhwa Kim; Dinesh Manocha; Donghwan Lee (CoRR, 2022)

A Single Correspondence Is Enough: Robust Global Registration to Avoid Degeneracy in Urban Environments - Hyungtae Lim; Suyong Yeon; Soo-Hyun Ryu; Yonghan Lee; Youngji Kim; Jaeseong Yun; Euigon Jung; Donghwan Lee; Hyun Myung (CoRR, 2022)

Investigating the Role of Image Retrieval for Visual Localization - An exhaustive benchmark - Martin Humenberger; Yohann Cabon; Noé Pion; Philippe Weinzaepfel; Donghwan Lee; Nicolas Guérin; Torsten Sattler; Gabriela Csurka (CoRR, 2022)

Collaborative Learning of Distributions under Heterogeneity and Communication Constraints - Xinmeng Huang; Donghwan Lee; Edgar Dobriban; Hamed Hassani (CoRR, 2022)

Block Double-Submission Attack: Block Withholding Can Be Self-Destructive - Suhyeon Lee; Donghwan Lee; Seungjoo Kim (CoRR, 2022)

Cy-Through: Toward a Cybersecurity Simulation for Supporting Live, Virtual, and Constructive Interoperability - Donghwan Lee; Donghwa Kim; Myung Kil Ahn; Wonwoo Jang; Wonjun Lee (IEEE Access, 2021)

Classification of Attack Types and Analysis of Attack Methods for Profiling Phishing Mail Attack Groups - Jaeil Lee; Yongjoon Lee; Donghwan Lee; Hyukjin Kwon; Dongkyoo Shin (IEEE Access, 2021)

Comparison of Depth Camera and Terrestrial Laser Scanner in Monitoring Structural Deflections - Michael Bekele Maru; Donghwan Lee; Kassahun Demissie Tola; Seunghee Park (Sensors, 2021)

Wireless Sensor Network (WSN) Configuration Method to Increase Node Energy Efficiency through Clustering and Location Information - Jinsoo Kim; Donghwan Lee; Jaejoon Hwang; Sunghoon Hong; Dongil Shin; Dongkyoo Shin (Symmetry, 2021)

Large-Scale Localization Datasets in Crowded Indoor Spaces - Donghwan Lee; Soo-Hyun Ryu; Suyong Yeon; Yonghan Lee; Deokhwa Kim; Cheolho Han; Yohann Cabon; Philippe Weinzaepfel; Nicolas Guérin; Gabriela Csurka; Martin Humenberger (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021, 2021)

DnD: Dense Depth Estimation in Crowded Dynamic Indoor Scenes - Dongki Jung; Jaehoon Choi; Yonghan Lee; Deokhwa Kim; Changick Kim; Dinesh Manocha; Donghwan Lee (2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021, Montreal, QC, Canada, October 10-17, 2021, 2021)

SelfDeco: Self-Supervised Monocular Depth Completion in Challenging Indoor Environments - Jaehoon Choi; Dongki Jung; Yonghan Lee; Deokhwa Kim; Dinesh Manocha; Donghwan Lee (IEEE International Conference on Robotics and Automation, ICRA 2021, Xi'an, China, May 30 - June 5, 2021, 2021)

LectYS: A System for Summarizing Lecture Videos on YouTube - Taewon Yoo; Hyewon Jeong; Donghwan Lee; Hyunggu Jung (IUI '21: 26th International Conference on Intelligent User Interfaces, College Station, TX, USA, April 13-17, 2021, Companion, 2021)

Local to Global: Efficient Visual Localization for a Monocular Camera - Sang Jun Lee; Deokhwa Kim; Sung Soo Hwang; Donghwan Lee (IEEE Winter Conference on Applications of Computer Vision, WACV 2021, Waikoloa, HI, USA, January 3-8, 2021, 2021)

Finite-Time Error Analysis of Asynchronous Q-Learning with Discrete-Time Switching System Models - Donghwan Lee (CoRR, 2021)

Large-scale Localization Datasets in Crowded Indoor Spaces - Donghwan Lee; Soo-Hyun Ryu; Suyong Yeon; Yonghan Lee; Deokhwa Kim; Cheolho Han; Yohann Cabon; Philippe Weinzaepfel; Nicolas Guérin; Gabriela Csurka; Martin Humenberger (CoRR, 2021)

DnD: Dense Depth Estimation in Crowded Dynamic Indoor Scenes - Dongki Jung; Jaehoon Choi; Yonghan Lee; Deokhwa Kim; Changick Kim; Dinesh Manocha; Donghwan Lee (CoRR, 2021)

HARMer: Cyber-Attacks Automation and Evaluation - Simon Yusuf Enoch; Zhibin Huang; Chun Yong Moon; Donghwan Lee; Myung Kil Ahn; Dong Seong Kim (IEEE Access, 2020)

Beam Deflection Monitoring Based on a Genetic Algorithm Using Lidar Data - Michael Bekele Maru; Donghwan Lee; Gichun Cha; Seunghee Park (Sensors, 2020)

SpoxelNet: Spherical Voxel-based Deep Place Recognition for 3D Point Clouds of Crowded Indoor Spaces - Min Young Chang; Suyong Yeon; Soo-Hyun Ryu; Donghwan Lee (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020, Las Vegas, NV, USA, October 24, 2020 - January 24, 2021, 2020)

HARMer: Cyber-attacks Automation and Evaluation - Simon Yusuf Enoch; Zhibin Huang; Chun Yong Moon; Donghwan Lee; Myung Kil Ahn; Dong Seong Kim (CoRR, 2020)

Self-supervised Monocular Depth Estimation with Semantic-aware Depth Features - Jaehoon Choi; Dongki Jung; Donghwan Lee; Changick Kim (CoRR, 2020)

SelfDeco: Self-Supervised Monocular Depth Completion in Challenging Indoor Environments - Jaehoon Choi; Dongki Jung; Yonghan Lee; Deokhwa Kim; Dinesh Manocha; Donghwan Lee (CoRR, 2020)

Faster Linear Transformations in \textsf{HElib} , Revisited - Jung Hee Cheon; Hyeongmin Choe; Donghwan Lee; Yongha Son (IEEE Access, 2019)

Hidden Markov Model Estimation-Based Q-learning for Partially Observable Markov Decision Process - Hyung-Jin Yoon; Donghwan Lee; Naira Hovakimyan (2019 American Control Conference, ACC 2019, Philadelphia, PA, USA, July 10-12, 2019, 2019)

Primal-Dual Algorithm for Distributed Reinforcement Learning: Distributed GTD - Donghwan Lee; Hyung-Jin Yoon; Naira Hovakimyan (57th IEEE Conference on Decision and Control, CDC 2018, Miami, FL, USA, December 17-19, 2018, 2018)

Hidden Markov Model Estimation-Based Q-learning for Partially Observable Markov Decision Process - Hyung-Jin Yoon; Donghwan Lee; Naira Hovakimyan (CoRR, 2018)

Learning to Communicate: A Machine Learning Framework for Heterogeneous Multi-Agent Robotic Systems - Hyung-Jin Yoon; Huaiyu Chen; Kehan Long; Heling Zhang; Aditya Gahlawat; Donghwan Lee; Naira Hovakimyan (CoRR, 2018)

Process Variation Tolerant All-Digital 90° Phase Shift DLL for DDR3 Interface - Heechai Kang; Kyungho Ryu; Dong-Hoon Jung; Donghwan Lee; Won Lee; SuHo Kim; JongRyun Choi; Seong-Ook Jung (IEEE Trans. Circuits Syst. I Regul. Pap., 2012)

MTF compensation algorithm based on blind deconvolution for high-resolution remote sensing satellite - Jihye Lee; Joohwan Chun; Donghwan Lee (Visual Information Processing XXI, Baltimore, Maryland, USA, April 24-25, 2012, 2012)

OFSA: Optimum Frame-Slotted Aloha for RFID Tag Collision Arbitration - Donghwan Lee; Jihoon Choi; Wonjun Lee (KSII Trans. Internet Inf. Syst., 2011)

Process variation tolerant all-digital multiphase DLL for DDR3 interface - Heechai Kang; Kyungho Ryu; Donghwan Lee; Won Lee; SuHo Kim; JongRyun Choi; Seong-Ook Jung (IEEE Custom Integrated Circuits Conference, CICC 2010, San Jose, California, USA, 19-22 September, 2010, Proceedings, 2010)

Hierarchical Markov chain analysis of an adaptive bandwidth reservation algorithm in wireless communication systems - Donghwan Lee; Jin-Ghoo Choi; Changhee Joo; Saewoong Bahk (Perform. Evaluation, 2008)

Optimal transmission policies for MOT in T-DMB - Donghwan Lee; Jihoon Choi; Kyunghwi Kim; Wonjun Lee; Choonhwa Lee (IEEE Commun. Lett., 2007)

On the Calculation of the Maximal MOT Throughput in T-DMB - Jihoon Choi; Donghwan Lee; Jieun Yu; Kyunghwi Kim; Wonjun Lee (IEEE Trans. Consumer Electron., 2007)

Genetic Algorithmic Topology Control for Two-Tiered Wireless Sensor Networks - Donghwan Lee; Wonjun Lee; Joongheon Kim (Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27 - 30, 2007, Proceedings, Part IV, 2007)

Q\(^+\)-Algorithm : An Enhanced RFID Tag Collision Arbitration Algorithm - Donghwan Lee; Kyungkyu Kim; Wonjun Lee (Ubiquitous Intelligence and Computing, 4th International Conference, UIC 2007, Hong Kong, China, July 11-13, 2007, Proceedings, 2007)

UbiComm: An Adaptive Vertical Handoff Decision Scheme for Heterogeneous Wireless Networks - Wonjun Lee; Eunkyo Kim; Jieun Yu; Donghwan Lee; Jihoon Choi; Joongheon Kim; Christian K. Shin (Ubiquitous Computing Systems, Third International Symposium, UCS 2006, Seoul, Korea, October 11-13, 2006, Proceedings, 2006)

Performance analysis of alternate routing with trunk reservation in multirate switched networks - Joonhwan Kim; Donghwan Lee; Saewoong Bahk (Comput. Commun., 2002)