Feng Zhou

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 77

Top Topics

Disease Diagnosis

Situation Aware

Autonomous Vehicles

Top Venues

Expert Syst. Appl.

IEEE J. Biomed. Health Informatics

Publications

Lilit Avetisyan, X. Jessie Yang, Feng Zhou
Towards Context-Aware Modeling of Situation Awareness in Conditionally Automated Driving. CoRR (2024)
Qiaoning Zhang, Feng Zhou, Lionel P. Robert Jr., X. Jessie Yang
Designing Healthcare Robots at Home for Older Adults: A Kano Model Perspective. HRI (Companion) (2024)
Xuegang Song, Feng Zhou, Alejandro F. Frangi, Jiuwen Cao, Xiaohua Xiao, Yi Lei, Tianfu Wang, Baiying Lei
Multicenter and Multichannel Pooling GCN for Early AD Diagnosis Based on Dual-Modality Fused Brain Network. IEEE Trans. Medical Imaging 42 (2) (2023)
Lashawnda Bynum, Jay Parker, Kristy Lee, Nia Nitschke, Melanie LaFlam, Jennifer Marcussen, Jana Taleb, Aleyna Dogan, Lilit Avetisyan, Lisa J. Molnar, Feng Zhou
Navigating in the Dark - Designing Autonomous Driving Features to Assist Old Adults with Visual Impairment. AutomotiveUI (Adjunct Proceedings) (2023)
Lilit Avetisyan, Aditya Deshmukh, X. Jessie Yang, Feng Zhou
Investigating HMIs to Foster Communications between Conventional Vehicles and Autonomous Vehicles in Intersections. CoRR (2023)
Haijun Lei, Yukang Lei, Zihao Chen, Shiqi Li, Zhongwei Huang, Feng Zhou, Ee-Leng Tan, Xiaohua Xiao, Yi Lei, Huoyou Hu, Yaohui Huang, Chien-Hung Liu, Baiying Lei
Early diagnosis and clinical score prediction of Parkinson's disease based on longitudinal neuroimaging data. Neural Comput. Appl. 35 (22) (2023)
Lilit Avetisyan, Jackie Ayoub, X. Jessie Yang, Feng Zhou
Building Trust Profiles in Conditionally Automated Driving. CoRR (2023)
Jackie Ayoub, Lilit Avetisian, X. Jessie Yang, Feng Zhou
Real-Time Trust Prediction in Conditionally Automated Driving Using Physiological Measures. IEEE Trans. Intell. Transp. Syst. 24 (12) (2023)
Aditya Deshmukh, Zifei Wang, Aaron Gunn, Huizhong Guo, Rini Sherony, Fred Feng, Brian Lin, Shan Bao, Feng Zhou
A systematic review of safety-critical scenarios between automated vehicles and vulnerable road users. CoRR (2023)
Haijun Lei, Yuchen Zhang, Hancong Li, Zhongwei Huang, Chien-Hung Liu, Feng Zhou, Ee-Leng Tan, Xiaohua Xiao, Yi Lei, Huoyou Hu, Yaohui Huang, Baiying Lei
Gene-related Parkinson's disease diagnosis via feature-based multi-branch octave convolution network. Comput. Biol. Medicine 148 (2022)
Feng Zhou, Areen Alsaid, Mike Blommer, Reates Curry, Radhakrishnan Swaminathan, Dev S. Kochhar, Walter Talamonti, Louis Tijerina
Predicting Driver Fatigue in Monotonous Automated Driving with Explanation using GPBoost and SHAP. Int. J. Hum. Comput. Interact. 38 (8) (2022)
Pan Zou, Shu Wang, Xuejian Gong, Roger Jianxin Jiao, Feng Zhou
Quantum entanglement inspired hard constraint handling for operations engineering optimization with an application to airport shift planning. Expert Syst. Appl. 205 (2022)
Jackie Ayoub, Na Du, X. Jessie Yang, Feng Zhou
Predicting Driver Takeover Time in Conditionally Automated Driving. IEEE Trans. Intell. Transp. Syst. 23 (7) (2022)
Yangtao Zhang, X. Jessie Yang, Feng Zhou
Disengagement Cause-and-Effect Relationships Extraction Using an NLP Pipeline. IEEE Trans. Intell. Transp. Syst. 23 (11) (2022)
Feng Zhou, X. Jessie Yang, Joost C. F. de Winter
Using Eye-Tracking Data to Predict Situation Awareness in Real Time During Takeover Transitions in Conditionally Automated Driving. IEEE Trans. Intell. Transp. Syst. 23 (3) (2022)
Lilit Avetisyan, Jackie Ayoub, Feng Zhou
Investigating Explanations in Conditional and Highly Automated Driving: The Effects of Situation Awareness and Modality. CoRR (2022)
Jackie Ayoub, Zifei Wang, Meitang Li, Huizhong Guo, Rini Sherony, Shan Bao, Feng Zhou
Cause-and-Effect Analysis of ADAS: A Comparison Study between Literature Review and Complaint Data. CoRR (2022)
Lilit Avetisyan, Chengxin Zhang, Sue Bai, Ehsan Moradi-Pari, Fred Feng, Shan Bao, Feng Zhou
Design a Sustainable Micro-mobility Future: Trends and Challenges in the United States and European Union Using Natural Language Processing Techniques. CoRR (2022)
Feng Zhou, Tao Chen, Baiying Lei
Cross-Subject Emotion Recognition with Sparsely-Labeled Peripheral Physiological Data Using SHAP-Explained Tree Ensembles. CoRR (2022)
Jackie Ayoub, Lilit Avetisyan, Mustapha Makki, Feng Zhou
An Investigation of Drivers' Dynamic Situational Trust in Conditionally Automated Driving. IEEE Trans. Hum. Mach. Syst. 52 (3) (2022)
Lilit Avetisyan, Jackie Ayoub, Feng Zhou
Anticipated emotions associated with trust in autonomous vehicles. CoRR (2022)
Jackie Ayoub, Zifei Wang, Meitang Li, Huizhong Guo, Rini Sherony, Shan Bao, Feng Zhou
Cause-and-Effect Analysis of ADAS: A Comparison Study between Literature Review and Complaint Data. UI (2022)
Baiying Lei, Enmin Liang, Mengya Yang, Peng Yang, Feng Zhou, Ee-Leng Tan, Yi Lei, Chuan-Ming Liu, Tianfu Wang, Xiaohua Xiao, Shuqiang Wang
Predicting clinical scores for Alzheimer's disease based on joint and deep learning. Expert Syst. Appl. 187 (2022)
Jackie Ayoub, Lilit Avetisian, X. Jessie Yang, Feng Zhou
Real-time Trust Prediction in Conditionally Automated Driving Using Physiological Measures. CoRR (2022)
Na Du, Feng Zhou, Dawn M. Tilbury, Lionel Peter Robert, X. Jessie Yang
Designing Alert Systems in Takeover Transitions: The Effects of Display Information and Modality. AutomotiveUI (2021)
Sue Bai, Dakota Drake Legge, Ashley Young, Shan Bao, Feng Zhou
Investigating External Interaction Modality and Design Between Automated Vehicles and Pedestrians at Crossings. ITSC (2021)
Feng Zhou, X. Jessie Yang, Joost de Winter
Using Eye-tracking Data to Predict Situation Awareness in Real Time during Takeover Transitions in Conditionally Automated Driving. CoRR (2021)
Jackie Ayoub, Lilit Avetisyan, Mustapha Makki, Feng Zhou
An Investigation of Drivers' Dynamic Situational Trust in Conditionally Automated Driving. CoRR (2021)
Yangtao Zhang, X. Jessie Yang, Feng Zhou
Disengagement Cause-and-Effect Relationships Extraction Using an NLP Pipeline. CoRR (2021)
Peng Yang, Feng Zhou, Dong Ni, Yanwu Xu, Siping Chen, Tianfu Wang, Baiying Lei
Fused Sparse Network Learning for Longitudinal Analysis of Mild Cognitive Impairment. IEEE Trans. Cybern. 51 (1) (2021)
Gandhimathi Padmanaban, Nathaniel P. Jachim, Hala Shandi, Lilit Avetisyan, Garrett Smith, Howraa Hammoud, Feng Zhou
An Autonomous Driving System - Dedicated Vehicle for People with ASD and their Caregivers. AutomotiveUI (adjunct) (2021)
Sue Bai, Dakota Drake Legge, Ashley Young, Shan Bao, Feng Zhou
Investigating External Interaction Modality and Design Between Automated Vehicles and Pedestrians at Crossings. CoRR (2021)
Gandhimathi Padmanaban, Nathaniel Jachim, Hala Shandi, Lilit Avetisyan, Garrett Smith, Howraa Hammoud, Feng Zhou
An Autonomous Driving System - Dedicated Vehicle for People with ASD and their Caregivers. CoRR (2021)
Xuegang Song, Feng Zhou, Alejandro F. Frangi, Jiuwen Cao, Xiaohua Xiao, Yi Lei, Tianfu Wang, Baiying Lei
Graph convolution network with similarity awareness and adaptive calibration for disease-induced deterioration prediction. Medical Image Anal. 69 (2021)
Feng Zhou, Areen Alsaid, Mike Blommer, Reates Curry, Radhakrishnan Swaminathan, Dev S. Kochhar, Walter J. Talamonti Jr., Louis Tijerina
Predicting Driver Fatigue in Automated Driving with Explainability. CoRR (2021)
Jackie Ayoub, X. Jessie Yang, Feng Zhou
Combat COVID-19 infodemic using explainable natural language processing models. Inf. Process. Manag. 58 (4) (2021)
Jackie Ayoub, X. Jessie Yang, Feng Zhou
Combat COVID-19 Infodemic Using Explainable Natural Language Processing Models. CoRR (2021)
Jackie Ayoub, Na Du, X. Jessie Yang, Feng Zhou
Predicting Driver Takeover Time in Conditionally Automated Driving. CoRR (2021)
Roger Jianxin Jiao, Feng Zhou, Nagi Z. Gebraeel, Vincent G. Duffy
Towards augmenting cyber-physical-human collaborative cognition for human-automation interaction in complex manufacturing and operational environments. Int. J. Prod. Res. 58 (16) (2020)
Feng Zhou, Tao Chen, Baiying Lei
Do not forget interaction: Predicting fatality of COVID-19 patients using logistic regression. CoRR (2020)
Na Du, X. Jessie Yang, Feng Zhou
Psychophysiological responses to takeover requests in conditionally automated driving. CoRR (2020)
Baiying Lei, Yujia Zhao, Zhongwei Huang, Xiaoke Hao, Feng Zhou, Ahmed Elazab, Jing Qin, Haijun Lei
Adaptive sparse learning using multi-template for neurodegenerative disease diagnosis. Medical Image Anal. 61 (2020)
Jackie Ayoub, Brian Mason, Kamari Morse, Austin Kirchner, Naira Tumanyan, Feng Zhou
Otto: An Autonomous School Bus System for Parents and Children. CHI Extended Abstracts (2020)
Na Du, Jinyong Kim, Feng Zhou, Elizabeth Pulver, Dawn M. Tilbury, Lionel P. Robert, Anuj K. Pradhan, X. Jessie Yang
Evaluating Effects of Cognitive Load, Takeover Request Lead Time, and Traffic Density on Drivers' Takeover Performance in Conditionally Automated Driving. AutomotiveUI (2020)
Baiying Lei, Feng Jiang, Feng Zhou, Dong Ni, Yuan Yao, Siping Chen, Tianfu Wang
Hybrid descriptor for placental maturity grading. Multim. Tools Appl. 79 (29-30) (2020)
Na Du, Feng Zhou, Elizabeth Pulver, Dawn M. Tilbury, Lionel P. Robert, Anuj K. Pradhan, X. Jessie Yang
Predicting Takeover Performance in Conditionally Automated Driving. CHI Extended Abstracts (2020)
Feng Zhou, Areen Alsaid, Mike Blommer, Reates Curry, Radhakrishnan Swaminathan, Dev S. Kochhar, Walter J. Talamonti Jr., Louis Tijerina, Baiying Lei
Driver fatigue transition prediction in highly automated driving using physiological features. Expert Syst. Appl. 147 (2020)
Jackie Ayoub, X. Jessie Yang, Feng Zhou
Modeling Dispositional and Initial learned Trust in Automated Vehicles with Predictability and Explainability. CoRR (2020)
Baiying Lei, Mengya Yang, Peng Yang, Feng Zhou, Wen Hou, Wenbin Zou, Xia Li, Tianfu Wang, Xiaohua Xiao, Shuqiang Wang
Deep and joint learning of longitudinal data for Alzheimer's disease prediction. Pattern Recognit. 102 (2020)
Na Du, Feng Zhou, Elizabeth Pulver, Dawn M. Tilbury, Lionel P. Robert, Anuj K. Pradhan, X. Jessie Yang
Examining the Effects of Emotional Valence and Arousal on Takeover Performance in Conditionally Automated Driving. CoRR (2020)
Feng Zhou, Yangjian Ji, Roger Jianxin Jiao
Emotional Design. CoRR (2020)
Feng Zhou, X. Jessie Yang, Xin Zhang
Takeover Transition in Autonomous Vehicles: A YouTube Study. Int. J. Hum. Comput. Interact. 36 (3) (2020)
Feng Zhou, Shu Kong, Charless C. Fowlkes, Tao Chen, Baiying Lei
Fine-grained facial expression analysis using dimensional emotion model. Neurocomputing 392 (2020)
Zhen Yu, Feng Jiang, Feng Zhou, Xinzi He, Dong Ni, Siping Chen, Tianfu Wang, Baiying Lei
Convolutional descriptors aggregation via cross-net for skin lesion recognition. Appl. Soft Comput. 92 (2020)
Jiayuan Fan, Tao Chen, Feng Zhou
BURSTS: A bottom-up approach for robust spotting of texts in scenes. J. Vis. Commun. Image Represent. 71 (2020)
Hang Li, Xinzi He, Feng Zhou, Zhen Yu, Dong Ni, Siping Chen, Tianfu Wang, Baiying Lei
Dense Deconvolutional Network for Skin Lesion Segmentation. IEEE J. Biomed. Health Informatics 23 (2) (2019)
Shiqi Li, Haijun Lei, Feng Zhou, Jamal Gardezi, Baiying Lei
Longitudinal and Multi-modal Data Learning for Parkinson's Disease Diagnosis via Stacked Sparse Auto-encoder. ISBI (2019)
Jackie Ayoub, Feng Zhou, Shan Bao, X. Jessie Yang
From Manual Driving to Automated Driving: A Review of 10 Years of AutoUI. AutomotiveUI (2019)
Haijun Lei, Zhongwei Huang, Feng Zhou, Ahmed El-Azab, Ee-Leng Tan, Hancong Li, Jing Qin, Baiying Lei
Parkinson's Disease Diagnosis via Joint Learning From Multiple Modalities and Relations. IEEE J. Biomed. Health Informatics 23 (4) (2019)
Zhen Yu, Xudong Jiang, Feng Zhou, Jing Qin, Dong Ni, Siping Chen, Baiying Lei, Tianfu Wang
Melanoma Recognition in Dermoscopy Images via Aggregated Deep Convolutional Features. IEEE Trans. Biomed. Eng. 66 (4) (2019)
Baiying Lei, Xin Zhao, Haijun Lei, Dong Ni, Siping Chen, Feng Zhou, Tianfu Wang
Multipurpose watermarking scheme via intelligent method and chaotic map. Multim. Tools Appl. 78 (19) (2019)
Feng Jiang, Feng Zhou, Jing Qin, Tianfu Wang, Baiying Lei
Decision-Augmented Generative Adversarial Network for Skin Lesion Segmentation. ISBI (2019)
Baiying Lei, Peng Yang, Yinan Zhuo, Feng Zhou, Dong Ni, Siping Chen, Xiaohua Xiao, Tianfu Wang
Neuroimaging Retrieval via Adaptive Ensemble Manifold Learning for Brain Disease Diagnosis. IEEE J. Biomed. Health Informatics 23 (4) (2019)
Xin Zhao, Feng Zhou, Le Ou-Yang, Tianfu Wang, Baiying Lei
Graph Convolutional Network Analysis for Mild Cognitive Impairment Prediction. ISBI (2019)
Rian Huang, Jiajun Liang, Feng Jiang, Feng Zhou, Nina Cheng, Tianfu Wang, Baiying Lei
MelanomaNet: An Effective Network for Melanoma Detection. EMBC (2019)
Chiyu Feng, Ahmed El-Azab, Peng Yang, Tianfu Wang, Feng Zhou, Huoyou Hu, Xiaohua Xiao, Baiying Lei
Deep Learning Framework for Alzheimer's Disease Diagnosis via 3D-CNN and FSBi-LSTM. IEEE Access 7 (2019)
Haijun Lei, Tao Han, Feng Zhou, Zhen Yu, Jing Qin, Ahmed El-Azab, Baiying Lei
A deeply supervised residual network for HEp-2 cell classification via cross-modal transfer learning. Pattern Recognit. 79 (2018)
Feng Zhou, Shu Kong, Charless C. Fowlkes, Tao Chen, Baiying Lei
Fine-Grained Facial Expression Analysis Using Dimensional Emotion Model. CoRR (2018)
Haijun Lei, Yujia Zhao, Zhongwei Huang, Feng Zhou, Limin Huang, Baiying Lei
Multi-classification of Parkinson's Disease via Sparse Low-Rank Learning. ICPR (2018)
Hang Li, Xinzi He, Zhen Yu, Feng Zhou, Jie-Zhi Cheng, Limin Huang, Tianfu Wang, Baiying Lei
Skin Lesion Segmentation via Dense Connected Deconvolutional Network. ICPR (2018)
Zhongwei Huang, Haijun Lei, Yujia Zhao, Feng Zhou, Jin Yan, Ahmed El-Azab, Baiying Lei
Longitudinal and multi-modal data learning for Parkinson's disease diagnosis. ISBI (2018)
Youyi Song, Liang He, Feng Zhou, Siping Chen, Dong Ni, Bai Ying Lei, Tianfu Wang
Segmentation, Splitting, and Classification of Overlapping Bacteria in Microscope Images for Automatic Bacterial Vaginosis Diagnosis. IEEE J. Biomed. Health Informatics 21 (4) (2017)
Feng Zhou, Roger Jianxin Jiao, Xi Jessie Yang, Bai Ying Lei
Augmenting feature model through customer preference mining by hybrid sentiment analysis. Expert Syst. Appl. 89 (2017)
Roger J. Jiao, Feng Zhou, Chih-Hsing Chu
Decision theoretic modeling of affective and cognitive needs for product experience engineering: key issues and a conceptual framework. J. Intell. Manuf. 28 (7) (2017)
Haijun Lei, Zhongwei Huang, Jian Zhang, Zhang Yang, Ee-Leng Tan, Feng Zhou, Bai Ying Lei
Joint detection and clinical score prediction in Parkinson's disease via multi-modal sparse learning. Expert Syst. Appl. 80 (2017)
Feng Zhou, Bai Ying Lei, Yitao Liu, Roger Jianxin Jiao
Affective parameter shaping in user experience prospect evaluation based on hierarchical Bayesian estimation. Expert Syst. Appl. 78 (2017)
Feng Zhou, Roger J. Jiao, Bai Ying Lei
Bilevel Game-Theoretic Optimization for Product Adoption Maximization Incorporating Social Network Effects. IEEE Trans. Syst. Man Cybern. Syst. 46 (8) (2016)
Feng Zhou, Roger J. Jiao
Latent customer needs elicitation for big-data analysis of online product reviews. IEEM (2015)
Feng Zhou, Roger Jianxin Jiao, Bai Ying Lei
A linear threshold-hurdle model for product adoption prediction incorporating social network effects. Inf. Sci. 307 (2015)
Feng Zhou, Roger J. Jiao
Feature model augmentation with sentiment analysis for product line planning. IEEM (2015)
Bai Ying Lei, Feng Zhou, Ee-Leng Tan, Dong Ni, Haijun Lei, Siping Chen, Tianfu Wang
Optimal and secure audio watermarking scheme based on self-adaptive particle swarm optimization and quaternion wavelet transform. Signal Process. 113 (2015)
Feng Zhou, Yangjian Ji, Roger J. Jiao
Prospect-Theoretic Modeling of Customer Affective-Cognitive Decisions Under Uncertainty for User Experience Design. IEEE Trans. Hum. Mach. Syst. 44 (4) (2014)
Feng Zhou, Xingda Qu, Roger Jianxin Jiao, Martin G. Helander
Emotion Prediction from Physiological Signals: A Comparison Study Between Visual and Auditory Elicitors. Interact. Comput. 26 (3) (2014)
Feng Zhou, Yangjian Ji, Roger J. Jiao
Predicting Product Adoption in Large Social Networks for Demand Estimation. ISPE CE (2014)
Yitao Liu, Prashanth Irudayaraj, Feng Zhou, Roger J. Jiao, Joseph N. Goodman
SysML-based Model Driven Discrete-Event Simulation. ISPE CE (2014)
Feng Zhou, Yangjian Ji, Roger J. Jiao
Augmented Affective-Cognition for Usability Study of In-Vehicle System User Interface. J. Comput. Inf. Sci. Eng. 14 (2) (2014)
Feng Zhou, Roger Jianxin Jiao
An improved user experience model with cumulative prospect theory. CSER (2013)
Feng Zhou, Yangjian Ji, Roger Jianxin Jiao
Affective and cognitive design for mass personalization: status and prospect. J. Intell. Manuf. 24 (5) (2013)
Feng Zhou, Roger Jianxin Jiao, Qianli Xu, Koji Takahashi
User Experience Modeling and Simulation for Product Ecosystem Design Based on Fuzzy Reasoning Petri Nets. IEEE Trans. Syst. Man Cybern. Part A 42 (1) (2012)
Bai Ying Lei, Ing Yann Soon, Feng Zhou, Zhen Li, Haijun Lei
A robust audio watermarking scheme based on lifting wavelet transform and singular value decomposition. Signal Process. 92 (9) (2012)
Qianli Xu, Feng Zhou, Roger Jianxin Jiao
Affective-Cognitive Modeling for User Experience With Modular Colored Fuzzy Petri Nets. J. Comput. Inf. Sci. Eng. 11 (1) (2011)
Feng Zhou, Xingda Qu, Martin G. Helander, Roger Jianxin Jiao
Affect prediction from physiological measures via visual stimuli. Int. J. Hum. Comput. Stud. 69 (12) (2011)
Feng Zhou, Jianxin Jiao, Songlin Chen, Daqing Zhang
A Case-Driven Ambient Intelligence System for Elderly in-Home Assistance Applications. IEEE Trans. Syst. Man Cybern. Part C 41 (2) (2011)
Feng Zhou, Roger Jianxin Jiao, Dirk Schaefer, Songlin Chen
Hybrid Association Mining and Refinement for Affective Mapping in Emotional Design. J. Comput. Inf. Sci. Eng. 10 (3) (2010)
Feng Zhou, Henry Been-Lirn Duh, Mark Billinghurst
Trends in augmented reality tracking, interaction and display: A review of ten years of ISMAR. ISMAR (2008)