Ming Kuang

Orcid: 0009-0001-7754-7317

According to our database1, Ming Kuang authored at least 42 papers between 2006 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Ultrasomics differentiation of malignant and benign focal liver lesions based on contrast-enhanced ultrasound.
BMC Medical Imaging, December, 2024

ADMNet: Adaptive-Weighting Dual Mapping for Online Tracking With Respiratory Motion Estimation in Contrast-Enhanced Ultrasound.
IEEE Trans. Image Process., 2024

Systematic comparison of deep-learning based fusion strategies for multi-modal ultrasound in diagnosis of liver cancer.
Neurocomputing, 2024

Current status and future prospects of Chinese mobile apps for hypertension management.
Health Informatics J., 2024

MORE-3S: Multimodal-based Offline Reinforcement Learning with Shared Semantic Spaces.
CoRR, 2024

MORE-3S: Multimodal-based Offline Reinforcement Learning with Shared Semantic Spaces.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2022
Identification of the origin of tumor in vein: comparison between CEUS LI-RADS v2017 and v2016 for patients at high risk.
BMC Medical Imaging, 2022

Correction to: Differentiation between combined hepatocellular cholangiocarcinoma and hepatocellular carcinoma: comparison of diagnostic performance between ultrasomics-based model and CEUS LI-RADS v2017.
BMC Medical Imaging, 2022

Differentiation between combined hepatocellular carcinoma and hepatocellular carcinoma: comparison of diagnostic performance between ultrasomics-based model and CEUS LI-RADS v2017.
BMC Medical Imaging, 2022

Bootstrapping Joint Entity and Relation Extraction with Reinforcement Learning.
Proceedings of the Web Information Systems Engineering - WISE 2022, 2022

2020
Early-Warning-Time-Based Virtual Network Live Evacuation Against Disaster Threats.
IEEE Internet Things J., 2020

Synchronous Evacuation for Dual Virtual Machines Under Disaster Risks.
Proceedings of the 43rd International Conference on Telecommunications and Signal Processing, 2020

2019
Leveraging Model Predictive Control As A Calibration Method To Develop Implementable Vehicle Dynamics Controls.
Proceedings of the 2019 American Control Conference, 2019

2018
Driver-Assistance Lateral Motion Control for In-Wheel-Motor-Driven Electric Ground Vehicles Subject to Small Torque Variation.
IEEE Trans. Veh. Technol., 2018

Vehicle Velocity State Estimation using Youla Controller Output Observer.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Reliability-sustainable network survivability scheme against disaster failures.
Proceedings of the International Conference on Computer, 2017

2016
Path-forecasting for HEV optimal energy management (POEM).
Proceedings of the 2016 American Control Conference, 2016

2015
Binding Kinetics versus Affinities in BRD4 Inhibition.
J. Chem. Inf. Model., 2015

2014
Intelligent Trip Modeling for the Prediction of an Origin-Destination Traveling Speed Profile.
IEEE Trans. Intell. Transp. Syst., 2014

Trip-Oriented Energy Management Control Strategy for Plug-In Hybrid Electric Vehicles.
IEEE Trans. Control. Syst. Technol., 2014

Intelligent Trip Modeling on Ramps using ramp classification and knowledge base.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
Intelligent Hybrid Vehicle Power Control - Part II: Online Intelligent Energy Management.
IEEE Trans. Veh. Technol., 2013

Power Smoothing Energy Management and Its Application to a Series Hybrid Powertrain.
IEEE Trans. Control. Syst. Technol., 2013

Intelligent speed profile prediction on urban traffic networks with machine learning.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
Intelligent Hybrid Vehicle Power Control - Part I: Machine Learning of Optimal Vehicle Power.
IEEE Trans. Veh. Technol., 2012

MPC-Based Energy Management of a Power-Split Hybrid Electric Vehicle.
IEEE Trans. Control. Syst. Technol., 2012

Balancing of battery networks via constrained optimal control.
Proceedings of the American Control Conference, 2012

2011
Real time vehicle speed prediction using a Neural Network Traffic Model.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Real time vehicle speed predition using gas-kinetic traffic modeling.
Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, 2011

Engine power smoothing energy management strategy for a series hybrid electric vehicle.
Proceedings of the American Control Conference, 2011

2010
Nonlinear Model Predictive Control for power-split Hybrid Electric Vehicles.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Active Damping Wheel-Torque Control System to Reduce Driveline Oscillations in a Power-Split Hybrid Electric Vehicle.
IEEE Trans. Veh. Technol., 2009

Fuzzy Gain-Scheduling Proportional-Integral Control for Improving Engine Power and Speed Behavior in a Hybrid Electric Vehicle.
IEEE Trans. Veh. Technol., 2009

Intelligent Vehicle Power Control Based on Machine Learning of Optimal Control Parameters and Prediction of Road Type and Traffic Congestion.
IEEE Trans. Veh. Technol., 2009

Vehicle handling assistant control system via independent rear axle torque biasing.
Proceedings of the American Control Conference, 2009

Vehicle Pure Yaw Moment control using differential tire slip.
Proceedings of the American Control Conference, 2009

Optimally controlling Hybrid Electric Vehicles using path forecasting.
Proceedings of the American Control Conference, 2009

Predictive energy management of a power-split hybrid electric vehicle.
Proceedings of the American Control Conference, 2009

Path dependent receding horizon control policies for Hybrid Electric Vehicles.
Proceedings of the IEEE International Conference on Control Applications, 2009

2008
Intelligent Vehicle Power Control Based on Prediction of Road Type and Traffic Congestions.
Proceedings of the 68th IEEE Vehicular Technology Conference, 2008

Neural learning of driving environment prediction for vehicle power management.
Proceedings of the International Joint Conference on Neural Networks, 2008

2006
Derivation and Experimental Validation of a Power-Split Hybrid Electric Vehicle Model.
IEEE Trans. Veh. Technol., 2006


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