Precision IPACS in the presence of dynamic uncertainty. - Dohee Kim; William MacKunis; Norman G. Fitz-Coy; Warren E. Dixon (CDC, 2009)

Robust composite adaptive fuzzy identification and control for a class of MIMO nonlinear systems. - Dohee Kim; H. Chung; Shubhendu Bhasin; Warren E. Dixon (ACC, 2011)

Adaptive attitude control for a small satellite with integrated singularity avoidance and momentum management. - Dohee Kim; Frederick A. Leve; Norman G. Fitz-Coy; Warren E. Dixon (ACC, 2011)

Dynamic neural network-based global output feedback tracking control for uncertain second-order nonlinear systems. - Huyen T. Dinh; Shubhendu Bhasin; Dohee Kim; Warren E. Dixon (ACC, 2012)

A recurrent neural network (RNN)-based attitude control method for a VSCMG-actuated satellite. - Dohee Kim; Huyen T. Dinh; William MacKunis; Norman G. Fitz-Coy; Warren E. Dixon (ACC, 2012)

Robust adaptive fuzzy disturbance accommodation control for a class of uncertain nonlinear system. - Dohee Kim (CDC, 2013)

Improving the storage performance of smartphones through journaling in non-volatile memory. - Dohee Kim; Eunji Lee; Sungyong Ahn; Hyokyung Bahn (IEEE Trans. Consumer Electron., 2013)

Robust adaptive fuzzy output feedback control strategy for uncertain perturbed nonlinear system. - Dohee Kim (CCA, 2015)

An Energy-Efficient Positioning Scheme for Location-Based Services in a Smartphone. - Dohee Kim; Soyoon Lee; Hyokyung Bahn (RTCSA, 2016)

Pharmacophore-based virtual screening, biological evaluation and binding mode analysis of a novel protease-activated receptor 2 antagonist. - Nam-Chul Cho; Seoung-Hwan Seo; Dohee Kim; Ji-Sun Shin; Jeongmin Ju; Jihye Seong; Seon Hee Seo; Iiyoun Lee; Kyung-Tae Lee; Yun Kyung Kim; Kyoung Tai No; Ae Nim Pae (J. Comput. Aided Mol. Des., 2016)

An Adaptive Location Detection scheme for energy-efficiency of smartphones. - Dohee Kim; Soyoon Lee; Hyokyung Bahn (Pervasive Mob. Comput., 2016)

Exploiting write-only-once characteristics of file data in smartphone buffer cache management. - Dohee Kim; Hyokyung Bahn (Pervasive Mob. Comput., 2017)

Method of Predictive Maintenance for Induction Furnace Based on Neural Network. - Yulim Choi; Hyeonho Kwun; Dohee Kim; Eunjoo Lee; Hyerim Bae (BigComp, 2020)

Energy-Optimal Regenerative Braking Strategy for Connected and Autonomous Electrified Vehicles: A Practical Design and Implementation for Real-World Commercial PHEVs. - Dohee Kim; Jeong Soo Eo; Kwang-Ki K. Kim (ITSC, 2020)

Towards Real-time CNN Inference from a Video Stream on a Mobile GPU (WiP Paper). - Chanyoung Oh; Gunju Park; Sumin Kim; Dohee Kim; Youngmin Yi (LCTES, 2020)

Economic Nonlinear Predictive Control for Real-Time Optimal Energy Management of Parallel Hybrid Electric Vehicles. - Jinsung Kim; Hoonhee Kim; Jinwoo Bae; Dohee Kim; Jeong Soo Eo; Kwang-Ki K. Kim (IEEE Access, 2020)

Parameterized Energy-Optimal Regenerative Braking Strategy for Connected and Autonomous Electrified Vehicles: A Real-Time Dynamic Programming Approach. - Dohee Kim; Jeong Soo Eo; Kwang-Ki K. Kim (IEEE Access, 2021)

Design and Field Trial of Lumino in Homes: Supporting Reflective Life by Archiving and Showing Daily Moods with Light Colors. - Dohee Kim; Sangsu Jang; Beom Kim; Young-Woo Park (Conference on Designing Interactive Systems, 2022)

NaturalInversion: Data-Free Image Synthesis Improving Real-World Consistency. - Yujin Kim; Dogyun Park; Dohee Kim; Suhyun Kim 001 (AAAI, 2022)

A Machine Learning Method for EV Range Prediction with Updates on Route Information and Traffic Conditions. - Dohee Kim; Hong Gi Shim; Jeong Soo Eo (AAAI, 2022)

TDTA: A New Hybrid Framework for Long-term Forecasting of Container Volume. - Dohee Kim; Hyerim Bae (IEEE Big Data, 2022)

Rethinking Style Transformer with Energy-based Interpretation: Adversarial Unsupervised Style Transfer using a Pretrained Model. - Hojun Cho; Dohee Kim; Seungwoo Ryu; ChaeHun Park; Hyungjong Noh; Jeong-In Hwang; Minseok Choi; Edward Choi; Jaegul Choo (EMNLP, 2022)

Coordinated Steering Angle and Yaw Moment Distribution to Increase Vehicle Regenerative Energy in Autonomous Driving. - Jung Hyun Choi; Dohee Kim; Jeong Soo Eo; Kanghyun Nam; Zejiang Wang; Junmin Wang; Sehoon Oh (ITSC, 2022)

CoVA: Exploiting Compressed-Domain Analysis to Accelerate Video Analytics. - Jinwoo Hwang; Minsu Kim 004; Daeun Kim; Seungho Nam; Yoonsung Kim; Dohee Kim; Hardik Sharma; Jongse Park (USENIX ATC, 2022)

Energy-Saving Algorithm Considering Cornering Resistance of a Four-Wheel Independent Drive Electric Vehicle With Vehicle-to-Vehicle (V2V) Information. - Jung Hyun Choi; Dohee Kim; Jeong Soo Eo; Sehoon Oh (IEEE Access, 2022)

CRU: A Novel Neural Architecture for Improving the Predictive Performance of Time-Series Data. - Sung-Hyun Sim; Dohee Kim; Hyerim Bae (CoRR, 2022)

Yin-Yang: Programming Abstractions for Cross-Domain Multi-Acceleration. - Joon Kyung Kim; Byung Hoon Ahn; Sean Kinzer; Soroush Ghodrati; Rohan Mahapatra; Brahmendra Reddy Yatham; Shu-Ting Wang; Dohee Kim; Parisa Sarikhani; Babak Mahmoudi; Divya Mahajan 001; Jongse Park; et al. (IEEE Micro, 2022)

Service-Oriented Real-Time Energy-Optimal Regenerative Braking Strategy for Connected and Autonomous Electrified Vehicles. - Dohee Kim; Jeong Soo Eo; Kwang-Ki K. Kim (IEEE Trans. Intell. Transp. Syst., 2022)

A novel training mechanism for health indicator construction and remaining useful lifetime (RUL) prediction. - Hanbyeol Park; Dohee Kim; Minseop Kim; Mingyu Park; Hyerim Bae; Yunkyung Park (IEEE Big Data, 2023)

Improving Time-Series Classification Accuracy Based on Temporal Feature Representation Learning Using CRU-LSTM Autoencoder. - Dohee Kim; Sung-Hyun Sim; Bori Yoon; Ling Liu 001; Hyerim Bae (CogMI, 2023)

Towards Formality-Aware Neural Machine Translation by Leveraging Context Information. - Dohee Kim; Yujin Baek; Soyoung Yang; Jaegul Choo (EMNLP (Findings), 2023)

AniEE: A Dataset of Animal Experimental Literature for Event Extraction. - Dohee Kim; Ra Yoo; Soyoung Yang; Hee Yang; Jaegul Choo (EMNLP (Findings), 2023)

Temporal Attention Gate Network With Temporal Decomposition for Improved Prediction Accuracy of Univariate Time-Series Data. - Sung-Hyun Sim; Dohee Kim; Seok Chan Jeong (ICAIIC, 2023)

Vehicle-in-the-Loop Experimental Verification of Real-Time Embedded Computation on Microcontroller for Service-Oriented Energy-Optimal Strategies of Intelligent Electric Vehicles. - Dohee Kim; Youngwon Seo; Hongsoon Jang; Hyemin Kang; Gu-Min Jeong; Jeong Soo Eo (ITSC, 2023)

NaturalInversion: Data-Free Image Synthesis Improving Real-World Consistency. - Yujin Kim; Dogyun Park; Dohee Kim; Suhyun Kim (CoRR, 2023)

Distributional and hierarchical reinforcement learning for physical systems with noisy state observations and exogenous perturbations. - Jehyun Park; Jongeun Choi; Sungjae Nah; Dohee Kim (Eng. Appl. Artif. Intell., 2023)

Correlation Recurrent Units: A Novel Neural Architecture for Improving the Predictive Performance of Time-Series Data. - Sung-Hyun Sim; Dohee Kim; Hyerim Bae (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Deep Neural Network NMPC for Computationally Tractable Optimal Power Management of Hybrid Electric Vehicles. - Suyong Park; Duc Giap Nguyen; Jinrak Park; Dohee Kim; Jeong Soo Eo; Kyoungseok Han (ACC, 2024)

Robust-Guaranteed Approximation of Disturbance Invariant Set for Systems with Near-Unit-Disk Spectral Radius. - Duc Giap Nguyen; Suyong Park; Nan Li 015; Jinrak Park; Dohee Kim; Jeong Soo Eo; Kyoungseok Han (CDC, 2024)

Neural Bezier Interpolation with Manifold Learning for Reliable Vessel Trajectory Prediction. - Gawon Lee; Dohee Kim; Segil Park; Sung-Hyun Sim; Ling Liu 001; Hyerim Bae (CogMI, 2024)

Improvement of MAC Accuracy using Oxygen Diffusion Barriers in Resistive Synaptic Cell Arrays. - Youngjae Kwon; Won-Tae Koo; Sangsu Park; Dong Ik Suh; Gunhee Lee; Hyung Dong Lee; Youngbae Ahn; Dohee Kim; Seungwook Ryu; Hoseok Em; Seokjoon Kang; Chang Won Jeong; et al. (IMW, 2024)

Temporal Multi-Features Representation Learning-Based Clustering for Time-Series Data. - Jaehoon Lee; Dohee Kim; Sung-Hyun Sim (IEEE Access, 2024)

Deep Neural Network NMPC for Computationally Tractable Optimal Power Management of Hybrid Electric Vehicle. - Suyong Park; Duc Giap Nguyen; Jinrak Park; Dohee Kim; Jeong Soo Eo; Kyoungseok Han (CoRR, 2024)

Language Model Can Do Knowledge Tracing: Simple but Effective Method to Integrate Language Model and Knowledge Tracing Task. - Unggi Lee; Jiyeong Bae; Dohee Kim; Sookbun Lee; Jaekwon Park; Taekyung Ahn; Gunho Lee; Damji Stratton; Hyeoncheol Kim (CoRR, 2024)

DLFormer: Enhancing Explainability in Multivariate Time Series Forecasting using Distributed Lag Embedding. - Younghwi Kim; Dohee Kim; Sung-Hyun Sim (CoRR, 2024)

From Prediction to Application: Language Model-based Code Knowledge Tracing with Domain Adaptive Pre-Training and Automatic Feedback System with Pedagogical Prompting for Comprehensive Programming Education. - Unggi Lee; Jiyeong Bae; Yeonji Jung; Minji Kang; Gyuri Byun; Yeonseo Lee; Dohee Kim; Sookbun Lee; Jaekwon Park; Taekyung Ahn; Gunho Lee; Hyeoncheol Kim (CoRR, 2024)

How to Align Large Language Models for Teaching English? Designing and Developing LLM based-Chatbot for Teaching English Conversation in EFL, Findings and Limitations. - Jaekwon Park; Jiyoung Bae; Unggi Lee; Taekyung Ahn; Sookbun Lee; Dohee Kim; Aram Choi; Yeil Jeong; Jewoong Moon; Hyeoncheol Kim (CoRR, 2024)

Artificial Intelligence-based Smart Port Logistics Metaverse for Enhancing Productivity, Environment, and Safety in Port Logistics: A Case Study of Busan Port. - Sung-Hyun Sim; Dohee Kim; Kikun Park; Hyerim Bae (CoRR, 2024)

R2I: A Relative Readability Metric for Decompiled Code. - Haeun Eom; Dohee Kim; Sori Lim; Hyungjoon Koo; Sungjae Hwang (Proc. ACM Softw. Eng., 2024)

An MPC Approximation Approach for Adaptive Cruise Control With Reduced Computational Complexity and Low Memory Footprint. - Duc Giap Nguyen; Suyong Park; Jinrak Park; Dohee Kim; Jeong Soo Eo; Kyoungseok Han (IEEE Trans. Intell. Veh., 2024)

Design and field trial of EmotionFrame: exploring self-journaling experiences in homes for archiving personal feelings about daily events. - Sangsu Jang; Kyung-Ryong Lee; Geonil Goh; Dohee Kim; Gahui Yun; Nanum Kim; Byeol Kim Lux; Choong-Wan Woo; Hyungsook Kim; Young-Woo Park (Hum. Comput. Interact., 2024)

Multi-task Trained Graph Neural Network for Business Process Anomaly Detection with a Limited Number of Labeled Anomalies. - Yongjae Lee; Dohee Kim; Donghwan Kim; Hyerim Bae (BPM, 2025)

ES-KT-24: A Multimodal Knowledge Tracing Benchmark Dataset with Educational Game Playing Video and Synthetic Text Generation. - Dohee Kim; Unggi Lee; Sookbun Lee; Jiyeong Bae; Taekyung Ahn; Jaekwon Park; Gunho Lee; Hyeoncheol Kim (ITS (2), 2025)

JustDense: Just using Dense instead of Sequence Mixer for Time Series analysis. - TaekHyun Park; Yongjae Lee; Daesan Park; Dohee Kim; Hyerim Bae (CoRR, 2025)