Dohee Kim

Orcid: 0000-0002-8153-1422

According to our database1, Dohee Kim authored at least 38 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
An MPC Approximation Approach for Adaptive Cruise Control With Reduced Computational Complexity and Low Memory Footprint.
IEEE Trans. Intell. Veh., February, 2024

Deep Neural Network NMPC for Computationally Tractable Optimal Power Management of Hybrid Electric Vehicle.
CoRR, 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

AniEE: A Dataset of Animal Experimental Literature for Event Extraction.
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

Yin-Yang: Programming Abstractions for Cross-Domain Multi-Acceleration.
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

CoVA: Exploiting Compressed-Domain Analysis to Accelerate Video Analytics.
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

TDTA: A New Hybrid Framework for Long-term Forecasting of Container Volume.
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

NaturalInversion: Data-Free Image Synthesis Improving Real-World Consistency.
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

Towards Real-time CNN Inference from a Video Stream on a Mobile GPU (WiP Paper).
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

Method of Predictive Maintenance for Induction Furnace Based on Neural Network.
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
An Adaptive Location Detection scheme for energy-efficiency of smartphones.
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

An Energy-Efficient Positioning Scheme for Location-Based Services in a Smartphone.
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
Precision IPACS in the presence of dynamic uncertainty.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009


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