Yi Lu Murphey

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 48

Top Venues

Publications

Jun Gao, Jiangang Yi, Yi Lu Murphey
An efficient driving behavior prediction approach using physiological auxiliary and adaptive LSTM. Mach. Vis. Appl. 35 (5) (2024)
Yuxuan Zhang, Yuanxiang Li, Xian Wei, Yongsheng Yang, Lei Liu, Yi Lu Murphey
Graph matching for knowledge graph alignment using edge-coloring propagation. Pattern Recognit. 144 (2023)
Van-Hai Bui, Fangyuan Chang, Wencong Su, Mengqi Wang, Yi Lu Murphey, Felipe Leno da Silva, Can Huang, Lingxiao Xue, Ruben Glatt
Deep Reinforcement Learning-Based Optimal Parameter Design of Power Converters. ICNC (2023)
Jun Gao, Jiangang Yi, Yi Lu Murphey
Multi-scale space-time transformer for driving behavior detection. Multim. Tools Appl. 82 (16) (2023)
Jun Gao, Jiangang Yi, Yi Lu Murphey
Attention-based global context network for driving maneuvers prediction. Mach. Vis. Appl. 33 (4) (2022)
Van-Hai Bui, Fangyuan Chang, Wencong Su, Mengqi Wang, Yi Lu Murphey, Felipe Leno da Silva, Can Huang, Linxiao Xue, Ruben Glatt
Deep Neural Network-Based Surrogate Model for Optimal Component Sizing of Power Converters Using Deep Reinforcement Learning. IEEE Access 10 (2022)
Zixuan Zhao, Siyu Yang, Christopher Sauer, Atsushi Teraji, Yasuhiro Yamauchi, Takeshi Hirata, A. J. Bisci, Yi Lu Murphey
Structured Deep Learning Models for Accurate Prediction of Real-world Driving Speed for Short and Long-term Horizons. IJCNN (2022)
Ying Zhang, Yingjie Zhang, Zhaoyang Ai, Yi Lu Murphey, Jing Zhang
Energy Optimal Control of Motor Drive System for Extending Ranges of Electric Vehicles. IEEE Trans. Ind. Electron. 68 (2) (2021)
Yongquan Xie, Zhengru Li, Tian Qin, Finn Tseng, Johannes Kristinsson, Shiqi Qiu, Yi Lu Murphey
Personalized Session-Based Recommendation Using Graph Attention Networks. IJCNN (2021)
Song Wang, Yi Lu Murphey
Driving Maneuver Detection using Features of Driver's attention and Face Shift through Deeping Learning. IJCNN (2021)
Paul Watta, Ximu Zhang, Yi Lu Murphey
Vehicle Position and Context Detection Using V2V Communication. IEEE Trans. Intell. Veh. 6 (4) (2021)
Zixuan Zhao, Zihao Zhao, Song Wang, Paul Watta, Yi Lu Murphey
Pedestrian Re-identification using a Surround-view Fisheye Camera System. IJCNN (2021)
Yongquan Xie, Finn Tseng, Johannes Kristinsson, Shiqi Qiu, Yi Lu Murphey
F2DeepRS: A Deep Recommendation Framework Applied to ICRC Platforms. IEA/AIE (2) (2021)
Xishuai Peng, Yi Lu Murphey, Ruirui Liu, Yuanxiang Li
Driving maneuver early detection via sequence learning from vehicle signals and video images. Pattern Recognit. 103 (2020)
Yongquan Xie, Yi Lu Murphey, Dev S. Kochhar
Personalized Driver Workload Estimation Using Deep Neural Network Learning From Physiological and Vehicle Signals. IEEE Trans. Intell. Veh. 5 (3) (2020)
Yongquan Xie, Yi Lu Murphey
Unsupervised Driver Workload Learning through Domain Adaptation from Temporal Signals. EAIS (2020)
Chang Liu, Yi Lu Murphey
Optimal Power Management Based on Q-Learning and Neuro-Dynamic Programming for Plug-in Hybrid Electric Vehicles. IEEE Trans. Neural Networks Learn. Syst. 31 (6) (2020)
Ying Zhang, Yingjie Zhang, Zhaoyang Ai, Yun Feng, Jing Zhang, Yi Lu Murphey
Estimation of Electric Mining Haul Trucks' Mass and Road Slope Using Dual Level Reinforcement Estimator. IEEE Trans. Veh. Technol. 68 (11) (2019)
Yongquan Xie, Yi Lu Murphey, Dev S. Kochhar
Detecting Sequential Human Mental Workload Using U-Net with Continuity-Aware Loss Applied to Streamed Physiological Signals. INDIN (2019)
Zhechen Wang, Yongquan Xie, Yi Lu Murphey
User-Specific Music recommendation Applied to Information and Computation Resource Constrained System. SSCI (2019)
Jun Gao, Yi Lu Murphey, Honghui Zhu
Personalized detection of lane changing behavior using multisensor data fusion. Computing 101 (12) (2019)
Xishuai Peng, Ava Zhao, Song Wang, Yi Lu Murphey, Yuanxiang Li
Attention-Driven Driving Maneuver Detection System. IJCNN (2019)
Xishuai Peng, Yi Lu Murphey, Simon Stent, Yuanxiang Li, Zihao Zhao
Spatial Focal Loss for Pedestrian Detection in Fisheye Imagery. WACV (2019)
Xishuai Peng, Yuanxiang Li, Yi Lu Murphey, Jianhua Luo
Domain Adaptation by Stacked Local Constraint Auto-Encoder Learning. IEEE Access 7 (2019)
Xian Wei, Hao Shen, Yuanxiang Li, Xuan Tang, Fengxiang Wang, Martin Kleinsteuber, Yi Lu Murphey
Reconstructible Nonlinear Dimensionality Reduction via Joint Dictionary Learning. IEEE Trans. Neural Networks Learn. Syst. 30 (1) (2019)
Ke Wang, Yi Lu Murphey, Yating Zhou, Xin Hu, Ximu Zhang
Detection of driver stress in real-world driving environment using physiological signals. INDIN (2019)
Yuxuan Zhang, Yuanxiang Li, Lei Jia, Xian Wei, Yi Lu Murphey
Sequential Information Bottleneck Network for RUL Prediction. SSCI (2019)
Xishuai Peng, Yuanxiang Li, Yi Lu Murphey, Xian Wei, Jianhua Luo
Domain Adaptation with One-step Transformation. SSCI (2018)
Yongquan Xie, Yi Lu Murphey, Dev S. Kochhar
SVM Parameter Optimization Using Swarm Intelligence for Learning from Big Data. ICCCI (1) (2018)
Jun Gao, Yi Lu Murphey, Honghui Zhu
Multivariate time series prediction of lane changing behavior using deep neural network. Appl. Intell. 48 (10) (2018)
Alexander Breg, Yi Lu Murphey, Takchoi Yu
Neural Network Predicting Remote Vehicle Movement with Vehicle-to-Vehicle Data. SSCI (2018)
Yuzhou Shi, Yuanxiang Li, Jiawei Liu, Xingang Liu, Yi Lu Murphey
Weather Recognition Based on Edge Deterioration and Convolutional Neural Networks. ICPR (2018)
Yongquan Xie, Kexun Chen, Yi Lu Murphey
Real-time and Robust Driver Yawning Detection with Deep Neural Networks. SSCI (2018)
Xishuai Peng, Ruirui Liu, Yi Lu Murphey, Simon Stent, Yuanxiang Li
Driving Maneuver Detection via Sequence Learning from Vehicle Signals and Video Images. ICPR (2018)
Yunkai Liu, Yuanxiang Li, Jiawei Liu, Xishuai Peng, Yongjun Zhou, Yi Lu Murphey
FOD Detection using DenseNet with Focal Loss of Object Samples for Airport Runway. SSCI (2018)
Xishuai Peng, Yuanxiang Li, Xian Wei, Jianhua Luo, Yi Lu Murphey
RGB-NIR image categorization with prior knowledge transfer. EURASIP J. Image Video Process. 2018 (2018)
Yongquan Xie, Chengqi Bian, Yi Lu Murphey, Dev S. Kochhar
An SVM parameter learning algorithm scalable on large data size for driver fatigue detection. SSCI (2017)
Xian Wei, Yuanxiang Li, Hao Shen, Weidong Xiang, Yi Lu Murphey
Joint learning sparsifying linear transformation for low-resolution image synthesis and recognition. Pattern Recognit. 66 (2017)
Yi Lu Murphey, Chang Liu, Muhammad Tayyab, Divyendu Narayan
Accurate pedestrian path prediction using neural networks. SSCI (2017)
Stanley S. Baek, Chang Liu, Paul Watta, Yi Lu Murphey
Accurate vehicle position estimation using a Kalman filter and neural network-based approach. SSCI (2017)
Alper Kursat Uysal, Yi Lu Murphey
Sentiment Classification: Feature Selection Based Approaches Versus Deep Learning. CIT (2017)
Chang Liu, Yi Lu Murphey
Analytical greedy control and Q-learning for optimal power management of plug-in hybrid electric vehicles. SSCI (2017)
Xishuai Peng, Yuanxiang Li, Xian Wei, Jianhua Luo, Yi Lu Murphey
Traffic sign recognition with transfer learning. SSCI (2017)
Yifu Liu, Paul Watta, Bochen Jia, Yi Lu Murphey
Vehicle position and context detection using V2V communication with application to pre-crash detection and warning. SSCI (2016)
Jungme Park, Yi Lu Murphey, M. Abul Masrur
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. 65 (6) (2016)
Xipeng Wang, Yi Lu Murphey, Dev S. Kochhar
MTS-DeepNet for lane change prediction. IJCNN (2016)
Yue Dai, Yuan Ma, Qianyi Wang, Yi Lu Murphey, Shiqi Qiu, Johannes Kristinsson, Jason Meyer, Finn Tseng, Timothy Feldkamp
Dynamic prediction of drivers' personal routes through machine learning. SSCI (2016)
Xian Wei, Yuanxiang Li, Hao Shen, Martin Kleinsteuber, Yi Lu Murphey
Joint learning dictionary and discriminative features for high dimensional data. ICPR (2016)
Shiqi Qiu, Ryan A. McGee, Yi Lu Murphey
Adaptive Fuzzy Prediction for Automotive Applications Usage. ICMLA (2015)
Xipeng Wang, Yuan Ma, Junru Di, Yi Lu Murphey, Shiqi Qiu, Johannes Kristinsson, Jason Meyer, Finn Tseng, Timothy Feldkamp
Building Efficient Probability Transition Matrix Using Machine Learning from Big Data for Personalized Route Prediction. INNS Conference on Big Data (2015)
Yinghao Huang, Yi Lu Murphey, Yao Ge
Intelligent typo correction for text mining through machine learning. Int. J. Knowl. Eng. Data Min. 3 (2) (2015)
Jiaqi Ma, Yi Lu Murphey, Hong Zhao
Real Time Drowsiness Detection Based on Lateral Distance Using Wavelet Transform and Neural Network. SSCI (2015)
Wenduo Wang, Yi Lu Murphey, Paul Watta
A Computational Framework for Implementation of Neural Networks on Multi-Core Machine. INNS Conference on Big Data (2015)
Weiwei Zhang, Yi Lu Murphey, Tianyu Wang, Qijie Xu
Driver yawning detection based on deep convolutional neural learning and robust nose tracking. IJCNN (2015)
Chen Fang, Xipeng Wang, Yi Lu Murphey, David Weber, Perry MacNeille
Specific humidity forecasting using recurrent Neural Network. IJCNN (2014)
Chaomin Luo, Jiyong Gao, Yi Lu Murphey, Gene Eu Jan
A computationally efficient neural dynamics approach to trajectory planning of an intelligent vehicle. IJCNN (2014)
Dai Li, Yi Lu Murphey
Automatic text categorization using a system of high-precision and high-recall models. CIDM (2014)
Xipeng Wang, Jungme Park, Yi Lu Murphey, Johannes Kristinsson, Ming Kuang, Tony Phillips
Intelligent Trip Modeling on Ramps using ramp classification and knowledge base. IJCNN (2014)
Jungme Park, Yi Lu Murphey, Ryan McGee, Johannes Kristinsson, Ming L. Kuang, Anthony M. Phillips
Intelligent Trip Modeling for the Prediction of an Origin-Destination Traveling Speed Profile. IEEE Trans. Intell. Transp. Syst. 15 (3) (2014)
Yinghao Huang, Yi Lu Murphey, Yao Ge
Machine learning of engineering diagnostic knowledge from unstructured verbatim text descriptions. CIDM (2013)
Jungme Park, Yi Lu Murphey, Johannes Kristinsson, Ryan McGee, Ming Kuang, Tony Phillips
Intelligent speed profile prediction on urban traffic networks with machine learning. IJCNN (2013)
Yi Lu Murphey, Jungme Park, Leonidas Kiliaris, Ming Kuang, M. Abul Masrur, Anthony M. Phillips, Qing Wang
Intelligent Hybrid Vehicle Power Control - Part II: Online Intelligent Energy Management. IEEE Trans. Veh. Technol. 62 (1) (2013)
Yi Lu Murphey, Jungme Park, M. Abul Masrur
Intelligent Energy Management in a Low Cost Hybrid Electric Vehicle Power System. VTC Fall (2013)
Yinghao Huang, Yi Lu Murphey, Yao Ge
Automotive diagnosis typo correction using domain knowledge and machine learning. CIDM (2013)
Ruoqian Liu, Shen Xu, Chen Fang, Yung-wen Liu, Yi Lu Murphey, Dev S. Kochhar
Statistical modeling and signal selection in multivariate time series pattern classification. ICPR (2012)
Ruoqian Liu, Hai Yu, Ryan McGee, Yi Lu Murphey
Driving course prediction for vehicle handling maneuvers. ACC (2012)
Yi Lu Murphey, Jungme Park, ZhiHang Chen, Ming Kuang, M. Abul Masrur, Anthony M. Phillips
Intelligent Hybrid Vehicle Power Control - Part I: Machine Learning of Optimal Vehicle Power. IEEE Trans. Veh. Technol. 61 (8) (2012)
Ruoqian Liu, Shen Xu, Jungme Park, Yi Lu Murphey, Johannes Kristinsson, Ryan McGee, Ming Kuang, Tony Phillips
Real time vehicle speed predition using gas-kinetic traffic modeling. CIVTS (2011)
Shen Xu, Ruoqian Liu, Dai Li, Yi Lu Murphey
A hybrid system ensemble based time series signal classification on driver alertness detection. IJCNN (2011)
Jungme Park, Dai Li, Yi Lu Murphey, Johannes Kristinsson, Ryan McGee, Ming Kuang, Tony Phillips
Real time vehicle speed prediction using a Neural Network Traffic Model. IJCNN (2011)
ZhiHang Chen, Shiqi Qiu, M. Abul Masrur, Yi Lu Murphey
Battery state of charge estimation based on a combined model of Extended Kalman Filter and neural networks. IJCNN (2011)
Yinghao Huang, Naeem Seliya, Yi Lu Murphey, Roy B. Friedenthal
Classifying Independent Medical Examination Reports using SOM Networks. DMIN (2010)
Jungme Park, ZhiHang Chen, Yi Lu Murphey
Intelligent vehicle power management through neural learning. IJCNN (2010)
Ruoqian Liu, Yi Lu Murphey
Time-series temporal classification using Feature Ensemble learning. IJCNN (2010)
Shen Xu, Yi Lu Murphey
Vehicle detection using Bayesian Network Enhanced Cascades Classification (BNECC). IJCNN (2010)
Aisha Yousuf, Yi Lu Murphey
A Supervised Fuzzy Adaptive Resonance Theory with Distributed Weight Update. ISNN (1) (2010)
Yi Lu Murphey, ZhiHang Chen
A Multi-agent System for Complex Vehicle Fault Diagnostics and Health Monitoring. ICECCS (2010)
Yi Lu Murphey, ZhiHang Chen, Mahmoud Abou-Nasr, Ryan Baker, Timothy Feldkamp, Ilya V. Kolmanovsky
Ensembles of neural networks with generalization capabilities for vehicle fault diagnostics. IJCNN (2009)
Jialin Jiao, Zhong Zheng, Jungme Park, Yi Lu Murphey, Yun Luo
A Robust Multi-class Traffic Sign Detection and Classification System using Asymmetric and Symmetric features. SMC (2009)
Yi Lu Murphey, Robert Milton, Leonidas Kiliaris
Driver's style classification using jerk analysis. CIVVS (2009)
Jungme Park, ZhiHang Chen, Leonidas Kiliaris, Ming Kuang, M. Abul Masrur, Anthony M. Phillips, Yi Lu Murphey
Intelligent Vehicle Power Control Based on Machine Learning of Optimal Control Parameters and Prediction of Road Type and Traffic Congestion. IEEE Trans. Veh. Technol. 58 (9) (2009)
Yinghao Huang, Naeem Seliya, Yi Lu Murphey, Roy B. Friedenthal
Name Entity Recognition and Classification in Medical Text Documents. DMIN (2009)
Jungme Park, ZhiHang Chen, Leonidas Kiliaris, Yi Lu Murphey, Ming Kuang, Anthony M. Phillips, M. Abul Masrur
Intelligent Vehicle Power Control Based on Prediction of Road Type and Traffic Congestions. VTC Fall (2008)
ZhiHang Chen, M. Abul Masrur, Yi Lu Murphey
Intelligent vehicle power management using machine learning and fuzzy logic. FUZZ-IEEE (2008)
Yi Lu Murphey, ZhiHang Chen, Leonidas Kiliaris, Jungme Park, Ming Kuang, M. Abul Masrur, Anthony M. Phillips
Neural learning of driving environment prediction for vehicle power management. IJCNN (2008)
Jungme Park, Yun Luo, Haoxing Wang, Yi Lu Murphey
Pedestrian detection by modeling local convex shape features. ICPR (2008)
Yi Lu Murphey, ZhiHang Chen, Lee A. Feldkamp
An incremental neural learning framework and its application to vehicle diagnostics. Appl. Intell. 28 (1) (2008)
Guobin Ou, Yi Lu Murphey
Multi-class pattern classification using neural networks. Pattern Recognit. 40 (1) (2007)
ZhiHang Chen, Liping Huang, Yi Lu Murphey
Incremental Learning for Text Document Classification. IJCNN (2007)
Yi Lu Murphey, Haoxing Wang, Guobin Ou, Lee A. Feldkamp
OAHO: an Effective Algorithm for Multi-Class Learning from Imbalanced Data. IJCNN (2007)
Yi Lu Murphey, M. Abul Masrur, ZhiHang Chen
Fault Diagnostics in Electric Drives Using Machine Learning. IEA/AIE (2006)
ZhiHang Chen, Chengwen Ni, Yi Lu Murphey
Neural Network Approaches for Text Document Categorization. IJCNN (2006)
Liping Huang, Yi Lu Murphey
Text Mining with Application to Engineering Diagnostics. IEA/AIE (2006)
Liping Huang, ZhiHang Chen, Yi Lu Murphey
UM-D at TREC 2005: Genomics Track. TREC (2005)
Guobin Ou, Yi Lu Murphey, Lee A. Feldkamp
Multiclass Pattern Classification Using Neural Networks. ICPR (4) (2004)
Xin Li, XiaoCao Yao, Yi Lu Murphey, Robert Karlsen, Grant Gerhart
A Real-Time Vehicle Detection and Tracking System in Outdoor Traffic Scenes. ICPR (2) (2004)
Yi Lu Murphey, Hong Guo, Lee A. Feldkamp
Neural Learning from Unbalanced Data. Appl. Intell. 21 (2) (2004)
Hongbin Jia, Yi Lu Murphey, Jianjun Shi, Tzyy-Shuh Chang
An Intelligent Real-time Vision System for Surface Defect Detection. ICPR (3) (2004)
Yi Lu Murphey, Jacob A. Crossman, ZhiHang Chen, John Cardillo
Automotive fault diagnosis - part II: a distributed agent diagnostic system. IEEE Trans. Veh. Technol. 52 (4) (2003)
Yi Lu Murphey, Hongbin Jia, Michael DelRose
Mapping Virtual Objects into Real Scene. IEA/AIE (2003)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yi Lu Murphey