Feng Zhou
Orcid: 0000-0001-6123-073XAffiliations:
- University of Michigan at Dearborn, Industrial and Manufacturing Systems Engineering, MI, USA
- Georgia Institute of Technology, School of Mechanical Engineering, Atlanta, GA, USA (PhD 2014)
- Nanyang Technological University, School of Mechanical and Aerospace Engineering, Singapore (PhD 2011)
According to our database1,
Feng Zhou
authored at least 84 papers
between 2008 and 2024.
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Bibliography
2024
Proceedings of the Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024
2023
Real-Time Trust Prediction in Conditionally Automated Driving Using Physiological Measures.
IEEE Trans. Intell. Transp. Syst., December, 2023
Early diagnosis and clinical score prediction of Parkinson's disease based on longitudinal neuroimaging data.
Neural Comput. Appl., August, 2023
Multicenter and Multichannel Pooling GCN for Early AD Diagnosis Based on Dual-Modality Fused Brain Network.
IEEE Trans. Medical Imaging, February, 2023
Investigating HMIs to Foster Communications between Conventional Vehicles and Autonomous Vehicles in Intersections.
CoRR, 2023
A systematic review of safety-critical scenarios between automated vehicles and vulnerable road users.
CoRR, 2023
Navigating in the Dark - Designing Autonomous Driving Features to Assist Old Adults with Visual Impairment.
Proceedings of the Adjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2023
2022
Using Eye-Tracking Data to Predict Situation Awareness in Real Time During Takeover Transitions in Conditionally Automated Driving.
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Intell. Transp. Syst., 2022
An Investigation of Drivers' Dynamic Situational Trust in Conditionally Automated Driving.
IEEE Trans. Hum. Mach. Syst., 2022
Predicting Driver Fatigue in Monotonous Automated Driving with Explanation using GPBoost and SHAP.
Int. J. Hum. Comput. Interact., 2022
Quantum entanglement inspired hard constraint handling for operations engineering optimization with an application to airport shift planning.
Expert Syst. Appl., 2022
Expert Syst. Appl., 2022
Cross-Subject Emotion Recognition with Sparsely-Labeled Peripheral Physiological Data Using SHAP-Explained Tree Ensembles.
CoRR, 2022
Design a Sustainable Micro-mobility Future: Trends and Challenges in the United States and European Union Using Natural Language Processing Techniques.
CoRR, 2022
Investigating Explanations in Conditional and Highly Automated Driving: The Effects of Situation Awareness and Modality.
CoRR, 2022
Gene-related Parkinson's disease diagnosis via feature-based multi-branch octave convolution network.
Comput. Biol. Medicine, 2022
Cause-and-Effect Analysis of ADAS: A Comparison Study between Literature Review and Complaint Data.
Proceedings of the AutomotiveUI '22: 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Seoul, Republic of Korea, September 17, 2022
2021
Fused Sparse Network Learning for Longitudinal Analysis of Mild Cognitive Impairment.
IEEE Trans. Cybern., 2021
Graph convolution network with similarity awareness and adaptive calibration for disease-induced deterioration prediction.
Medical Image Anal., 2021
Inf. Process. Manag., 2021
Investigating External Interaction Modality and Design Between Automated Vehicles and Pedestrians at Crossings.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
An Autonomous Driving System - Dedicated Vehicle for People with ASD and their Caregivers.
Proceedings of the AutomotiveUI '21: 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Leeds, United Kingdom, September 9-14, 2021, 2021
Designing Alert Systems in Takeover Transitions: The Effects of Display Information and Modality.
Proceedings of the AutomotiveUI '21: 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2021
2020
Pattern Recognit., 2020
Adaptive sparse learning using multi-template for neurodegenerative disease diagnosis.
Medical Image Anal., 2020
J. Vis. Commun. Image Represent., 2020
Towards augmenting cyber-physical-human collaborative cognition for human-automation interaction in complex manufacturing and operational environments.
Int. J. Prod. Res., 2020
Neurocomputing, 2020
Int. J. Hum. Comput. Interact., 2020
Driver fatigue transition prediction in highly automated driving using physiological features.
Expert Syst. Appl., 2020
Modeling Dispositional and Initial learned Trust in Automated Vehicles with Predictability and Explainability.
CoRR, 2020
Psychophysiological responses to takeover requests in conditionally automated driving.
CoRR, 2020
Do not forget interaction: Predicting fatality of COVID-19 patients using logistic regression.
CoRR, 2020
Examining the Effects of Emotional Valence and Arousal on Takeover Performance in Conditionally Automated Driving.
CoRR, 2020
Appl. Soft Comput., 2020
Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020
Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020
Evaluating Effects of Cognitive Load, Takeover Request Lead Time, and Traffic Density on Drivers' Takeover Performance in Conditionally Automated Driving.
Proceedings of the AutomotiveUI '20: 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2020
2019
IEEE J. Biomed. Health Informatics, 2019
Neuroimaging Retrieval via Adaptive Ensemble Manifold Learning for Brain Disease Diagnosis.
IEEE J. Biomed. Health Informatics, 2019
Parkinson's Disease Diagnosis via Joint Learning From Multiple Modalities and Relations.
IEEE J. Biomed. Health Informatics, 2019
Melanoma Recognition in Dermoscopy Images via Aggregated Deep Convolutional Features.
IEEE Trans. Biomed. Eng., 2019
Multim. Tools Appl., 2019
IEEE Access, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Longitudinal and Multi-modal Data Learning for Parkinson's Disease Diagnosis via Stacked Sparse Auto-encoder.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2019
2018
A deeply supervised residual network for HEp-2 cell classification via cross-modal transfer learning.
Pattern Recognit., 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Proceedings of the 24th International Conference on Pattern Recognition, 2018
2017
Segmentation, Splitting, and Classification of Overlapping Bacteria in Microscope Images for Automatic Bacterial Vaginosis Diagnosis.
IEEE J. Biomed. Health Informatics, 2017
Decision theoretic modeling of affective and cognitive needs for product experience engineering: key issues and a conceptual framework.
J. Intell. Manuf., 2017
Affective parameter shaping in user experience prospect evaluation based on hierarchical Bayesian estimation.
Expert Syst. Appl., 2017
Augmenting feature model through customer preference mining by hybrid sentiment analysis.
Expert Syst. Appl., 2017
Joint detection and clinical score prediction in Parkinson's disease via multi-modal sparse learning.
Expert Syst. Appl., 2017
2016
Bilevel Game-Theoretic Optimization for Product Adoption Maximization Incorporating Social Network Effects.
IEEE Trans. Syst. Man Cybern. Syst., 2016
2015
Optimal and secure audio watermarking scheme based on self-adaptive particle swarm optimization and quaternion wavelet transform.
Signal Process., 2015
A linear threshold-hurdle model for product adoption prediction incorporating social network effects.
Inf. Sci., 2015
Proceedings of the 2015 IEEE International Conference on Industrial Engineering and Engineering Management, 2015
Proceedings of the 2015 IEEE International Conference on Industrial Engineering and Engineering Management, 2015
2014
Prospect-Theoretic Modeling of Customer Affective-Cognitive Decisions Under Uncertainty for User Experience Design.
IEEE Trans. Hum. Mach. Syst., 2014
Augmented Affective-Cognition for Usability Study of In-Vehicle System User Interface.
J. Comput. Inf. Sci. Eng., 2014
Emotion Prediction from Physiological Signals: A Comparison Study Between Visual and Auditory Elicitors.
Interact. Comput., 2014
Proceedings of the Moving Integrated Product Development to Service Clouds in the Global Economy, 2014
Proceedings of the Moving Integrated Product Development to Service Clouds in the Global Economy, 2014
2013
Proceedings of the Conference on Systems Engineering Research, 2013
J. Intell. Manuf., 2013
2012
User Experience Modeling and Simulation for Product Ecosystem Design Based on Fuzzy Reasoning Petri Nets.
IEEE Trans. Syst. Man Cybern. Part A, 2012
A robust audio watermarking scheme based on lifting wavelet transform and singular value decomposition.
Signal Process., 2012
2011
A Case-Driven Ambient Intelligence System for Elderly in-Home Assistance Applications.
IEEE Trans. Syst. Man Cybern. Part C, 2011
Affective-Cognitive Modeling for User Experience With Modular Colored Fuzzy Petri Nets.
J. Comput. Inf. Sci. Eng., 2011
Int. J. Hum. Comput. Stud., 2011
2010
J. Comput. Inf. Sci. Eng., 2010
2008
Trends in augmented reality tracking, interaction and display: A review of ten years of ISMAR.
Proceedings of the 7th IEEE and ACM International Symposium on Mixed and Augmented Reality, 2008