Feng Zhou

Orcid: 0000-0001-6123-073X

Affiliations:
  • 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 89 papers between 2008 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Building Contextualized Trust Profiles in Conditionally Automated Driving.
IEEE Trans. Hum. Mach. Syst., December, 2024

MHW-GAN: Multidiscriminator Hierarchical Wavelet Generative Adversarial Network for Multimodal Image Fusion.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

Towards Context-Aware Modeling of Situation Awareness in Conditionally Automated Driving.
CoRR, 2024

Designing Healthcare Robots at Home for Older Adults: A Kano Model Perspective.
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

Building Trust Profiles in Conditionally Automated Driving.
CoRR, 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 Impairments.
CoRR, 2023

Prospect-theoretic Modeling of Team Cognition for Task Allocation Towards Human-automation Symbiosis.
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 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

Disengagement Cause-and-Effect Relationships Extraction Using an NLP Pipeline.
IEEE Trans. Intell. Transp. Syst., 2022

Predicting Driver Takeover Time in Conditionally Automated Driving.
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

Predicting clinical scores for Alzheimer's disease based on joint and deep learning.
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

Anticipated emotions associated with trust in autonomous vehicles.
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

Combat COVID-19 infodemic using explainable natural language processing models.
Inf. Process. Manag., 2021

Predicting Driver Fatigue in Automated Driving with Explainability.
CoRR, 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
Deep and joint learning of longitudinal data for Alzheimer's disease prediction.
Pattern Recognit., 2020

Hybrid descriptor for placental maturity grading.
Multim. Tools Appl., 2020

Adaptive sparse learning using multi-template for neurodegenerative disease diagnosis.
Medical Image Anal., 2020

BURSTS: A bottom-up approach for robust spotting of texts in scenes.
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

Fine-grained facial expression analysis using dimensional emotion model.
Neurocomputing, 2020

Takeover Transition in Autonomous Vehicles: A YouTube Study.
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

Emotional Design.
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

Convolutional descriptors aggregation via cross-net for skin lesion recognition.
Appl. Soft Comput., 2020

Predicting Takeover Performance in Conditionally Automated Driving.
Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

Otto: An Autonomous School Bus System for Parents and Children.
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
Dense Deconvolutional Network for Skin Lesion Segmentation.
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

Multipurpose watermarking scheme via intelligent method and chaotic map.
Multim. Tools Appl., 2019

Deep Learning Framework for Alzheimer's Disease Diagnosis via 3D-CNN and FSBi-LSTM.
IEEE Access, 2019

Graph Convolutional Network Analysis for Mild Cognitive Impairment Prediction.
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

Decision-Augmented Generative Adversarial Network for Skin Lesion Segmentation.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

MelanomaNet: An Effective Network for Melanoma Detection.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

From Manual Driving to Automated Driving: A Review of 10 Years of AutoUI.
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

Longitudinal and multi-modal data learning for Parkinson's disease diagnosis.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Skin Lesion Segmentation via Dense Connected Deconvolutional Network.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Multi-classification of Parkinson's Disease via Sparse Low-Rank Learning.
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

Latent customer needs elicitation for big-data analysis of online product reviews.
Proceedings of the 2015 IEEE International Conference on Industrial Engineering and Engineering Management, 2015

Feature model augmentation with sentiment analysis for product line planning.
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

Predicting Product Adoption in Large Social Networks for Demand Estimation.
Proceedings of the Moving Integrated Product Development to Service Clouds in the Global Economy, 2014

SysML-based Model Driven Discrete-Event Simulation.
Proceedings of the Moving Integrated Product Development to Service Clouds in the Global Economy, 2014

2013
An improved user experience model with cumulative prospect theory.
Proceedings of the Conference on Systems Engineering Research, 2013

Affective and cognitive design for mass personalization: status and prospect.
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

Affect prediction from physiological measures via visual stimuli.
Int. J. Hum. Comput. Stud., 2011

2010
Hybrid Association Mining and Refinement for Affective Mapping in Emotional Design.
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


  Loading...