Yi Lu Murphey

Orcid: 0000-0002-0501-8002

According to our database1, Yi Lu Murphey authored at least 117 papers between 1999 and 2024.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2014, "For contributions to optimal energy control in hybrid electric vehicles".

Timeline

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On csauthors.net:

Bibliography

2024
An efficient driving behavior prediction approach using physiological auxiliary and adaptive LSTM.
Mach. Vis. Appl., September, 2024

Accurate Classification and Prediction of Remote Vehicle Position Classes Using V2V Communication and Deep Learning.
IEEE Access, 2024

2023
Graph matching for knowledge graph alignment using edge-coloring propagation.
Pattern Recognit., December, 2023

Multi-scale space-time transformer for driving behavior detection.
Multim. Tools Appl., July, 2023

Deep Reinforcement Learning-Based Optimal Parameter Design of Power Converters.
Proceedings of the International Conference on Computing, Networking and Communications, 2023

2022
Attention-based global context network for driving maneuvers prediction.
Mach. Vis. Appl., 2022

Deep Neural Network-Based Surrogate Model for Optimal Component Sizing of Power Converters Using Deep Reinforcement Learning.
IEEE Access, 2022

Structured Deep Learning Models for Accurate Prediction of Real-world Driving Speed for Short and Long-term Horizons.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Vehicle Position and Context Detection Using V2V Communication.
IEEE Trans. Intell. Veh., 2021

Energy Optimal Control of Motor Drive System for Extending Ranges of Electric Vehicles.
IEEE Trans. Ind. Electron., 2021

Pedestrian Re-identification using a Surround-view Fisheye Camera System.
Proceedings of the International Joint Conference on Neural Networks, 2021

Personalized Session-Based Recommendation Using Graph Attention Networks.
Proceedings of the International Joint Conference on Neural Networks, 2021

Driving Maneuver Detection using Features of Driver's attention and Face Shift through Deeping Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021

F2DeepRS: A Deep Recommendation Framework Applied to ICRC Platforms.
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2021

2020
Optimal Power Management Based on Q-Learning and Neuro-Dynamic Programming for Plug-in Hybrid Electric Vehicles.
IEEE Trans. Neural Networks Learn. Syst., 2020

Personalized Driver Workload Estimation Using Deep Neural Network Learning From Physiological and Vehicle Signals.
IEEE Trans. Intell. Veh., 2020

Driving maneuver early detection via sequence learning from vehicle signals and video images.
Pattern Recognit., 2020

Unsupervised Driver Workload Learning through Domain Adaptation from Temporal Signals.
Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

2019
Estimation of Electric Mining Haul Trucks' Mass and Road Slope Using Dual Level Reinforcement Estimator.
IEEE Trans. Veh. Technol., 2019

Reconstructible Nonlinear Dimensionality Reduction via Joint Dictionary Learning.
IEEE Trans. Neural Networks Learn. Syst., 2019

Personalized detection of lane changing behavior using multisensor data fusion.
Computing, 2019

Domain Adaptation by Stacked Local Constraint Auto-Encoder Learning.
IEEE Access, 2019

Spatial Focal Loss for Pedestrian Detection in Fisheye Imagery.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Sequential Information Bottleneck Network for RUL Prediction.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

User-Specific Music recommendation Applied to Information and Computation Resource Constrained System.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Detecting Sequential Human Mental Workload Using U-Net with Continuity-Aware Loss Applied to Streamed Physiological Signals.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

Detection of driver stress in real-world driving environment using physiological signals.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

Attention-Driven Driving Maneuver Detection System.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
RGB-NIR image categorization with prior knowledge transfer.
EURASIP J. Image Video Process., 2018

Multivariate time series prediction of lane changing behavior using deep neural network.
Appl. Intell., 2018

Real-time and Robust Driver Yawning Detection with Deep Neural Networks.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Domain Adaptation with One-step Transformation.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

FOD Detection using DenseNet with Focal Loss of Object Samples for Airport Runway.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Neural Network Predicting Remote Vehicle Movement with Vehicle-to-Vehicle Data.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Weather Recognition Based on Edge Deterioration and Convolutional Neural Networks.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Driving Maneuver Detection via Sequence Learning from Vehicle Signals and Video Images.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

SVM Parameter Optimization Using Swarm Intelligence for Learning from Big Data.
Proceedings of the Computational Collective Intelligence - 10th International Conference, 2018

2017
Joint learning sparsifying linear transformation for low-resolution image synthesis and recognition.
Pattern Recognit., 2017

An SVM parameter learning algorithm scalable on large data size for driver fatigue detection.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Traffic sign recognition with transfer learning.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Accurate pedestrian path prediction using neural networks.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Analytical greedy control and Q-learning for optimal power management of plug-in hybrid electric vehicles.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Accurate vehicle position estimation using a Kalman filter and neural network-based approach.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Sentiment Classification: Feature Selection Based Approaches Versus Deep Learning.
Proceedings of the 2017 IEEE International Conference on Computer and Information Technology, 2017

2016
Intelligent Energy Management and Optimization in a Hybridized All-Terrain Vehicle With Simple On-Off Control of the Internal Combustion Engine.
IEEE Trans. Veh. Technol., 2016

Vehicle position and context detection using V2V communication with application to pre-crash detection and warning.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Dynamic prediction of drivers' personal routes through machine learning.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

MTS-DeepNet for lane change prediction.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Joint learning dictionary and discriminative features for high dimensional data.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
Intelligent typo correction for text mining through machine learning.
Int. J. Knowl. Eng. Data Min., 2015

Real Time Drowsiness Detection Based on Lateral Distance Using Wavelet Transform and Neural Network.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

A Computational Framework for Implementation of Neural Networks on Multi-Core Machine.
Proceedings of the INNS Conference on Big Data 2015, 2015

Building Efficient Probability Transition Matrix Using Machine Learning from Big Data for Personalized Route Prediction.
Proceedings of the INNS Conference on Big Data 2015, 2015

Driver yawning detection based on deep convolutional neural learning and robust nose tracking.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Adaptive Fuzzy Prediction for Automotive Applications Usage.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

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

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

A computationally efficient neural dynamics approach to trajectory planning of an intelligent vehicle.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Specific humidity forecasting using recurrent Neural Network.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Automatic text categorization using a system of high-precision and high-recall models.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

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

Intelligent Energy Management in a Low Cost Hybrid Electric Vehicle Power System.
Proceedings of the 78th IEEE Vehicular Technology Conference, 2013

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

Automotive diagnosis typo correction using domain knowledge and machine learning.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013

Machine learning of engineering diagnostic knowledge from unstructured verbatim text descriptions.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013

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

Statistical modeling and signal selection in multivariate time series pattern classification.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Driving course prediction for vehicle handling maneuvers.
Proceedings of the American Control Conference, 2012

2011
A hybrid system ensemble based time series signal classification on driver alertness detection.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

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

Battery state of charge estimation based on a combined model of Extended Kalman Filter and neural networks.
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

2010
A Supervised Fuzzy Adaptive Resonance Theory with Distributed Weight Update.
Proceedings of the Advances in Neural Networks, 2010

Vehicle detection using Bayesian Network Enhanced Cascades Classification (BNECC).
Proceedings of the International Joint Conference on Neural Networks, 2010

Intelligent vehicle power management through neural learning.
Proceedings of the International Joint Conference on Neural Networks, 2010

Time-series temporal classification using Feature Ensemble learning.
Proceedings of the International Joint Conference on Neural Networks, 2010

A Multi-agent System for Complex Vehicle Fault Diagnostics and Health Monitoring.
Proceedings of the 15th IEEE International Conference on Engineering of Complex Computer Systems, 2010

Classifying Independent Medical Examination Reports using SOM Networks.
Proceedings of The 2010 International Conference on Data Mining, 2010

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

A Robust Multi-class Traffic Sign Detection and Classification System using Asymmetric and Symmetric features.
Proceedings of the IEEE International Conference on Systems, 2009

Ensembles of neural networks with generalization capabilities for vehicle fault diagnostics.
Proceedings of the International Joint Conference on Neural Networks, 2009

Name Entity Recognition and Classification in Medical Text Documents.
Proceedings of The 2009 International Conference on Data Mining, 2009

Driver's style classification using jerk analysis.
Proceedings of the 2009 IEEE Workshop on Computational Intelligence in Vehicles and Vehicular Systems, 2009

2008
Intelligent Vehicle Power Management: An Overview.
Proceedings of the Computational Intelligence in Automotive Applications, 2008

Edge Detection in Grayscale, Color, and Range Images.
Proceedings of the Wiley Encyclopedia of Computer Science and Engineering, 2008

An incremental neural learning framework and its application to vehicle diagnostics.
Appl. Intell., 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

Pedestrian detection by modeling local convex shape features.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Intelligent vehicle power management using machine learning and fuzzy logic.
Proceedings of the FUZZ-IEEE 2008, 2008

2007
Multi-class pattern classification using neural networks.
Pattern Recognit., 2007

OAHO: an Effective Algorithm for Multi-Class Learning from Imbalanced Data.
Proceedings of the International Joint Conference on Neural Networks, 2007

Incremental Learning for Text Document Classification.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
Neural Network Approaches for Text Document Categorization.
Proceedings of the International Joint Conference on Neural Networks, 2006

Fault Diagnostics in Electric Drives Using Machine Learning.
Proceedings of the Advances in Applied Artificial Intelligence, 2006

Text Mining with Application to Engineering Diagnostics.
Proceedings of the Advances in Applied Artificial Intelligence, 2006

2005
UM-D at TREC 2005: Genomics Track.
Proceedings of the Fourteenth Text REtrieval Conference, 2005

2004
Neural Learning from Unbalanced Data.
Appl. Intell., 2004

Multiclass Pattern Classification Using Neural Networks.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

A Real-Time Vehicle Detection and Tracking System in Outdoor Traffic Scenes.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

An Intelligent Real-time Vision System for Surface Defect Detection.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

2003
Automotive fault diagnosis - part II: a distributed agent diagnostic system.
IEEE Trans. Veh. Technol., 2003

Automotive signal fault diagnostics - part I: signal fault analysis, signal segmentation, feature extraction and quasi-optimal feature selection.
IEEE Trans. Veh. Technol., 2003

Registering real, virtual imagery.
Pattern Recognit., 2003

Mapping Virtual Objects into Real Scene.
Proceedings of the Developments in Applied Artificial Intelligence, 2003

Multiple Signal Fault Detection Using Fuzzy Logic.
Proceedings of the Developments in Applied Artificial Intelligence, 2003

Color Image Segmentation in Color and Spatial Domain.
Proceedings of the Developments in Applied Artificial Intelligence, 2003

2002
Feature Extraction for a Multiple Pattern Classification Neural Network System.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Intelligent signal segment fault detection using fuzzy logic.
Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002

2001
Registering Real-Scene to Virtual Imagery Using Robust Image Features.
Proceedings of the 6th International Fall Workshop on Vision, Modeling, and Visualization, 2001

Registering Video with Virtual Imagery using Robust Image Features.
Proceedings of the IASTED International Conference on Visualization, 2001

Neural Learning from Unbalanced Data Using Noise Modeling.
Proceedings of the Engineering of Intelligent Systems, 2001

A Smart Machine Vision System for PCB Inspection.
Proceedings of the Engineering of Intelligent Systems, 2001

2000
Automotive signal diagnostics using wavelets and machine learning.
IEEE Trans. Veh. Technol., 2000

Automatic Feature Selection - A Hybrid Statistical Approach.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

1999
Incremental Learning in a Fuzzy Intelligent System.
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Dyta: An Intelligent System for Moving Target Detection.
Proceedings of the 1oth International Conference on Image Analysis and Processing (ICIAP 1999), 1999


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