Dohee Kim
Orcid: 0000-0002-8153-1422
According to our database1,
Dohee Kim
authored at least 49 papers
between 2009 and 2024.
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Bibliography
2024
Design and field trial of EmotionFrame: exploring self-journaling experiences in homes for archiving personal feelings about daily events.
Hum. Comput. Interact., July, 2024
An MPC Approximation Approach for Adaptive Cruise Control With Reduced Computational Complexity and Low Memory Footprint.
IEEE Trans. Intell. Veh., February, 2024
Artificial Intelligence-based Smart Port Logistics Metaverse for Enhancing Productivity, Environment, and Safety in Port Logistics: A Case Study of Busan Port.
CoRR, 2024
ES-KT-24: A Multimodal Knowledge Tracing Benchmark Dataset with Educational Game Playing Video and Synthetic Text Generation.
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.
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.
CoRR, 2024
DLFormer: Enhancing Explainability in Multivariate Time Series Forecasting using Distributed Lag Embedding.
CoRR, 2024
Language Model Can Do Knowledge Tracing: Simple but Effective Method to Integrate Language Model and Knowledge Tracing Task.
CoRR, 2024
Deep Neural Network NMPC for Computationally Tractable Optimal Power Management of Hybrid Electric Vehicle.
CoRR, 2024
Temporal Multi-Features Representation Learning-Based Clustering for Time-Series Data.
IEEE Access, 2024
Improvement of MAC Accuracy using Oxygen Diffusion Barriers in Resistive Synaptic Cell Arrays.
Proceedings of the IEEE International Memory Workshop, 2024
Deep Neural Network NMPC for Computationally Tractable Optimal Power Management of Hybrid Electric Vehicles.
Proceedings of the American Control Conference, 2024
2023
Correlation Recurrent Units: A Novel Neural Architecture for Improving the Predictive Performance of Time-Series Data.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023
Distributional and hierarchical reinforcement learning for physical systems with noisy state observations and exogenous perturbations.
Eng. Appl. Artif. Intell., 2023
Vehicle-in-the-Loop Experimental Verification of Real-Time Embedded Computation on Microcontroller for Service-Oriented Energy-Optimal Strategies of Intelligent Electric Vehicles.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Temporal Attention Gate Network With Temporal Decomposition for Improved Prediction Accuracy of Univariate Time-Series Data.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Towards Formality-Aware Neural Machine Translation by Leveraging Context Information.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Improving Time-Series Classification Accuracy Based on Temporal Feature Representation Learning Using CRU-LSTM Autoencoder.
Proceedings of the 5th IEEE International Conference on Cognitive Machine Intelligence, 2023
A novel training mechanism for health indicator construction and remaining useful lifetime (RUL) prediction.
Proceedings of the IEEE International Conference on Big Data, 2023
2022
Service-Oriented Real-Time Energy-Optimal Regenerative Braking Strategy for Connected and Autonomous Electrified Vehicles.
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Micro, 2022
CRU: A Novel Neural Architecture for Improving the Predictive Performance of Time-Series Data.
CoRR, 2022
Energy-Saving Algorithm Considering Cornering Resistance of a Four-Wheel Independent Drive Electric Vehicle With Vehicle-to-Vehicle (V2V) Information.
IEEE Access, 2022
Proceedings of the 2022 USENIX Annual Technical Conference, 2022
Coordinated Steering Angle and Yaw Moment Distribution to Increase Vehicle Regenerative Energy in Autonomous Driving.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
Rethinking Style Transformer with Energy-based Interpretation: Adversarial Unsupervised Style Transfer using a Pretrained Model.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
A Machine Learning Method for EV Range Prediction with Updates on Route Information and Traffic Conditions.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Design and Field Trial of Lumino in Homes: Supporting Reflective Life by Archiving and Showing Daily Moods with Light Colors.
Proceedings of the DIS '22: Designing Interactive Systems Conference, Virtual Event, Australia, June 13, 2022
2021
Parameterized Energy-Optimal Regenerative Braking Strategy for Connected and Autonomous Electrified Vehicles: A Real-Time Dynamic Programming Approach.
IEEE Access, 2021
2020
Economic Nonlinear Predictive Control for Real-Time Optimal Energy Management of Parallel Hybrid Electric Vehicles.
IEEE Access, 2020
Proceedings of the 21st ACM SIGPLAN/SIGBED International Conference on Languages, 2020
Energy-Optimal Regenerative Braking Strategy for Connected and Autonomous Electrified Vehicles: A Practical Design and Implementation for Real-World Commercial PHEVs.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
Proceedings of the 2020 IEEE International Conference on Big Data and Smart Computing, 2020
2017
Exploiting write-only-once characteristics of file data in smartphone buffer cache management.
Pervasive Mob. Comput., 2017
2016
Pervasive Mob. Comput., 2016
Pharmacophore-based virtual screening, biological evaluation and binding mode analysis of a novel protease-activated receptor 2 antagonist.
J. Comput. Aided Mol. Des., 2016
Proceedings of the 22nd IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2016
2015
Robust adaptive fuzzy output feedback control strategy for uncertain perturbed nonlinear system.
Proceedings of the 2015 IEEE Conference on Control Applications, 2015
2013
Improving the storage performance of smartphones through journaling in non-volatile memory.
IEEE Trans. Consumer Electron., 2013
Robust adaptive fuzzy disturbance accommodation control for a class of uncertain nonlinear system.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
2012
A recurrent neural network (RNN)-based attitude control method for a VSCMG-actuated satellite.
Proceedings of the American Control Conference, 2012
Dynamic neural network-based global output feedback tracking control for uncertain second-order nonlinear systems.
Proceedings of the American Control Conference, 2012
2011
Adaptive attitude control for a small satellite with integrated singularity avoidance and momentum management.
Proceedings of the American Control Conference, 2011
Robust composite adaptive fuzzy identification and control for a class of MIMO nonlinear systems.
Proceedings of the American Control Conference, 2011
2009
Proceedings of the 48th IEEE Conference on Decision and Control, 2009