Trends in augmented reality tracking, interaction and display: A review of ten years of ISMAR. - Feng Zhou 003; Henry Been-Lirn Duh; Mark Billinghurst (ISMAR, 2008)

Hybrid Association Mining and Refinement for Affective Mapping in Emotional Design. - Feng Zhou 003; Roger Jianxin Jiao; Dirk Schaefer; Songlin Chen (J. Comput. Inf. Sci. Eng., 2010)

Affect prediction from physiological measures via visual stimuli. - Feng Zhou 003; Xingda Qu; Martin G. Helander; Roger Jianxin Jiao (Int. J. Hum. Comput. Stud., 2011)

Affective-Cognitive Modeling for User Experience With Modular Colored Fuzzy Petri Nets. - Qianli Xu; Feng Zhou 003; Roger Jianxin Jiao (J. Comput. Inf. Sci. Eng., 2011)

A Case-Driven Ambient Intelligence System for Elderly in-Home Assistance Applications. - Feng Zhou 003; Jianxin Jiao; Songlin Chen; Daqing Zhang 001 (IEEE Trans. Syst. Man Cybern. Part C, 2011)

A robust audio watermarking scheme based on lifting wavelet transform and singular value decomposition. - Bai Ying Lei; Ing Yann Soon; Feng Zhou 003; Zhen Li 047; Haijun Lei (Signal Process., 2012)

User Experience Modeling and Simulation for Product Ecosystem Design Based on Fuzzy Reasoning Petri Nets. - Feng Zhou 003; Roger Jianxin Jiao; Qianli Xu; Koji Takahashi (IEEE Trans. Syst. Man Cybern. Part A, 2012)

Affective and cognitive design for mass personalization: status and prospect. - Feng Zhou 003; Yangjian Ji; Roger Jianxin Jiao (J. Intell. Manuf., 2013)

An improved user experience model with cumulative prospect theory. - Feng Zhou 003; Roger Jianxin Jiao (CSER, 2013)

SysML-based Model Driven Discrete-Event Simulation. - Yitao Liu; Prashanth Irudayaraj; Feng Zhou 003; Roger J. Jiao; Joseph N. Goodman (CE, 2014)

Predicting Product Adoption in Large Social Networks for Demand Estimation. - Feng Zhou 003; Yangjian Ji; Roger J. Jiao (CE, 2014)

Emotion Prediction from Physiological Signals: A Comparison Study Between Visual and Auditory Elicitors. - Feng Zhou 003; Xingda Qu; Roger Jianxin Jiao; Martin G. Helander (Interact. Comput., 2014)

Augmented Affective-Cognition for Usability Study of In-Vehicle System User Interface. - Feng Zhou 003; Yangjian Ji; Roger J. Jiao (J. Comput. Inf. Sci. Eng., 2014)

Prospect-Theoretic Modeling of Customer Affective-Cognitive Decisions Under Uncertainty for User Experience Design. - Feng Zhou 003; Yangjian Ji; Roger J. Jiao (IEEE Trans. Hum. Mach. Syst., 2014)

Feature model augmentation with sentiment analysis for product line planning. - Feng Zhou 003; Roger J. Jiao (IEEM, 2015)

Latent customer needs elicitation for big-data analysis of online product reviews. - Feng Zhou 003; Roger J. Jiao (IEEM, 2015)

A linear threshold-hurdle model for product adoption prediction incorporating social network effects. - Feng Zhou 003; Roger Jianxin Jiao; Bai Ying Lei (Inf. Sci., 2015)

Optimal and secure audio watermarking scheme based on self-adaptive particle swarm optimization and quaternion wavelet transform. - Bai Ying Lei; Feng Zhou 003; Ee-Leng Tan; Dong Ni 001; Haijun Lei; Siping Chen; Tianfu Wang 001 (Signal Process., 2015)

Bilevel Game-Theoretic Optimization for Product Adoption Maximization Incorporating Social Network Effects. - Feng Zhou 003; Roger J. Jiao; Bai Ying Lei (IEEE Trans. Syst. Man Cybern. Syst., 2016)

Joint detection and clinical score prediction in Parkinson's disease via multi-modal sparse learning. - Haijun Lei; Zhongwei Huang; Jian Zhang; Zhang Yang; Ee-Leng Tan; Feng Zhou 003; Bai Ying Lei (Expert Syst. Appl., 2017)

Augmenting feature model through customer preference mining by hybrid sentiment analysis. - Feng Zhou 003; Roger Jianxin Jiao; Xi Jessie Yang; Bai Ying Lei (Expert Syst. Appl., 2017)

Affective parameter shaping in user experience prospect evaluation based on hierarchical Bayesian estimation. - Feng Zhou 003; Bai Ying Lei; Yitao Liu; Roger Jianxin Jiao (Expert Syst. Appl., 2017)

Decision theoretic modeling of affective and cognitive needs for product experience engineering: key issues and a conceptual framework. - Roger J. Jiao; Feng Zhou 003; Chih-Hsing Chu (J. Intell. Manuf., 2017)

Segmentation, Splitting, and Classification of Overlapping Bacteria in Microscope Images for Automatic Bacterial Vaginosis Diagnosis. - Youyi Song; Liang He; Feng Zhou 003; Siping Chen; Dong Ni 001; Bai Ying Lei; Tianfu Wang 001 (IEEE J. Biomed. Health Informatics, 2017)

Multi-classification of Parkinson's Disease via Sparse Low-Rank Learning. - Haijun Lei; Yujia Zhao; Zhongwei Huang; Feng Zhou 003; Limin Huang; Baiying Lei (ICPR, 2018)

Skin Lesion Segmentation via Dense Connected Deconvolutional Network. - Hang Li; Xinzi He; Zhen Yu; Feng Zhou 003; Jie-Zhi Cheng; Limin Huang; Tianfu Wang 001; Baiying Lei (ICPR, 2018)

Longitudinal and multi-modal data learning for Parkinson's disease diagnosis. - Zhongwei Huang; Haijun Lei; Yujia Zhao; Feng Zhou 003; Jin Yan; Ahmed El-Azab; Baiying Lei (ISBI, 2018)

A deeply supervised residual network for HEp-2 cell classification via cross-modal transfer learning. - Haijun Lei; Tao Han; Feng Zhou 003; Zhen Yu; Jing Qin 001; Ahmed El-Azab; Baiying Lei (Pattern Recognit., 2018)

From Manual Driving to Automated Driving: A Review of 10 Years of AutoUI. - Jackie Ayoub; Feng Zhou 003; Shan Bao; X. Jessie Yang (AutomotiveUI, 2019)

MelanomaNet: An Effective Network for Melanoma Detection. - Rian Huang; Jiajun Liang; Feng Jiang; Feng Zhou 003; Nina Cheng; Tianfu Wang 001; Baiying Lei (EMBC, 2019)

Decision-Augmented Generative Adversarial Network for Skin Lesion Segmentation. - Feng Jiang; Feng Zhou 003; Jing Qin 001; Tianfu Wang 001; Baiying Lei (ISBI, 2019)

Longitudinal and Multi-modal Data Learning for Parkinson's Disease Diagnosis via Stacked Sparse Auto-encoder. - Shiqi Li; Haijun Lei; Feng Zhou 003; Jamal Gardezi; Baiying Lei (ISBI, 2019)

Graph Convolutional Network Analysis for Mild Cognitive Impairment Prediction. - Xin Zhao 029; Feng Zhou 003; Le Ou-Yang; Tianfu Wang 001; Baiying Lei (ISBI, 2019)

Deep Learning Framework for Alzheimer's Disease Diagnosis via 3D-CNN and FSBi-LSTM. - Chiyu Feng; Ahmed El-Azab; Peng Yang 011; Tianfu Wang 001; Feng Zhou 003; Huoyou Hu; Xiaohua Xiao; Baiying Lei (IEEE Access, 2019)

Multipurpose watermarking scheme via intelligent method and chaotic map. - Baiying Lei; Xin Zhao 029; Haijun Lei; Dong Ni 001; Siping Chen; Feng Zhou 003; Tianfu Wang 001 (Multim. Tools Appl., 2019)

Melanoma Recognition in Dermoscopy Images via Aggregated Deep Convolutional Features. - Zhen Yu; Xudong Jiang 001; Feng Zhou 003; Jing Qin 001; Dong Ni 001; Siping Chen; Baiying Lei; Tianfu Wang 001 (IEEE Trans. Biomed. Eng., 2019)

Parkinson's Disease Diagnosis via Joint Learning From Multiple Modalities and Relations. - Haijun Lei; Zhongwei Huang; Feng Zhou 003; Ahmed El-Azab; Ee-Leng Tan; Hancong Li; Jing Qin 001; Baiying Lei (IEEE J. Biomed. Health Informatics, 2019)

Neuroimaging Retrieval via Adaptive Ensemble Manifold Learning for Brain Disease Diagnosis. - Baiying Lei; Peng Yang 011; Yinan Zhuo; Feng Zhou 003; Dong Ni 001; Siping Chen; Xiaohua Xiao; Tianfu Wang 001 (IEEE J. Biomed. Health Informatics, 2019)

Dense Deconvolutional Network for Skin Lesion Segmentation. - Hang Li; Xinzi He; Feng Zhou 003; Zhen Yu; Dong Ni 001; Siping Chen; Tianfu Wang 001; Baiying Lei (IEEE J. Biomed. Health Informatics, 2019)

Evaluating Effects of Cognitive Load, Takeover Request Lead Time, and Traffic Density on Drivers' Takeover Performance in Conditionally Automated Driving. - Na Du; Jinyong Kim; Feng Zhou 003; Elizabeth Pulver; Dawn M. Tilbury; Lionel P. Robert; Anuj K. Pradhan; X. Jessie Yang (AutomotiveUI, 2020)

Otto: An Autonomous School Bus System for Parents and Children. - Jackie Ayoub; Brian Mason; Kamari Morse; Austin Kirchner; Naira Tumanyan; Feng Zhou 003 (CHI Extended Abstracts, 2020)

Predicting Takeover Performance in Conditionally Automated Driving. - Na Du; Feng Zhou 003; Elizabeth Pulver; Dawn M. Tilbury; Lionel P. Robert; Anuj K. Pradhan; X. Jessie Yang (CHI Extended Abstracts, 2020)

Convolutional descriptors aggregation via cross-net for skin lesion recognition. - Zhen Yu; Feng Jiang; Feng Zhou 003; Xinzi He; Dong Ni 001; Siping Chen; Tianfu Wang 001; Baiying Lei (Appl. Soft Comput., 2020)

Examining the Effects of Emotional Valence and Arousal on Takeover Performance in Conditionally Automated Driving. - Na Du; Feng Zhou 003; Elizabeth Pulver; Dawn M. Tilbury; Lionel P. Robert; Anuj K. Pradhan; X. Jessie Yang (CoRR, 2020)

Do not forget interaction: Predicting fatality of COVID-19 patients using logistic regression. - Feng Zhou 003; Tao Chen 003; Baiying Lei (CoRR, 2020)

Emotional Design. - Feng Zhou 003; Yangjian Ji; Roger Jianxin Jiao (CoRR, 2020)

Psychophysiological responses to takeover requests in conditionally automated driving. - Na Du; X. Jessie Yang; Feng Zhou 003 (CoRR, 2020)

Modeling Dispositional and Initial learned Trust in Automated Vehicles with Predictability and Explainability. - Jackie Ayoub; X. Jessie Yang; Feng Zhou 003 (CoRR, 2020)

Driver fatigue transition prediction in highly automated driving using physiological features. - Feng Zhou 003; Areen Alsaid; Mike Blommer; Reates Curry; Radhakrishnan Swaminathan; Dev S. Kochhar; Walter Talamonti; Louis Tijerina; Baiying Lei (Expert Syst. Appl., 2020)

Takeover Transition in Autonomous Vehicles: A YouTube Study. - Feng Zhou 003; X. Jessie Yang; Xin Zhang 059 (Int. J. Hum. Comput. Interact., 2020)

Fine-grained facial expression analysis using dimensional emotion model. - Feng Zhou 003; Shu Kong; Charless C. Fowlkes; Tao Chen 003; Baiying Lei (Neurocomputing, 2020)

Towards augmenting cyber-physical-human collaborative cognition for human-automation interaction in complex manufacturing and operational environments. - Roger Jianxin Jiao; Feng Zhou 003; Nagi Z. Gebraeel; Vincent G. Duffy (Int. J. Prod. Res., 2020)

BURSTS: A bottom-up approach for robust spotting of texts in scenes. - Jiayuan Fan 001; Tao Chen 003; Feng Zhou 003 (J. Vis. Commun. Image Represent., 2020)

Adaptive sparse learning using multi-template for neurodegenerative disease diagnosis. - Baiying Lei; Yujia Zhao; Zhongwei Huang; Xiaoke Hao; Feng Zhou 003; Ahmed Elazab; Jing Qin 001; Haijun Lei (Medical Image Anal., 2020)

Hybrid descriptor for placental maturity grading. - Baiying Lei; Feng Jiang; Feng Zhou 003; Dong Ni 001; Yuan Yao 007; Siping Chen; Tianfu Wang 001 (Multim. Tools Appl., 2020)

Deep and joint learning of longitudinal data for Alzheimer's disease prediction. - Baiying Lei; Mengya Yang; Peng Yang 011; Feng Zhou 003; Wen Hou; Wenbin Zou; Xia Li 006; Tianfu Wang 001; Xiaohua Xiao; Shuqiang Wang (Pattern Recognit., 2020)

Designing Alert Systems in Takeover Transitions: The Effects of Display Information and Modality. - Na Du; Feng Zhou 003; Dawn M. Tilbury; Lionel Peter Robert; X. Jessie Yang (AutomotiveUI, 2021)

An Autonomous Driving System - Dedicated Vehicle for People with ASD and their Caregivers. - Gandhimathi Padmanaban; Nathaniel P. Jachim; Hala Shandi; Lilit Avetisyan; Garrett Smith; Howraa Hammoud; Feng Zhou 003 (AutomotiveUI (adjunct), 2021)

Investigating External Interaction Modality and Design Between Automated Vehicles and Pedestrians at Crossings. - Sue Bai; Dakota Drake Legge; Ashley Young; Shan Bao; Feng Zhou 003 (ITSC, 2021)

Predicting Driver Fatigue in Automated Driving with Explainability. - Feng Zhou 003; Areen Alsaid; Mike Blommer; Reates Curry; Radhakrishnan Swaminathan; Dev S. Kochhar; Walter Talamonti; Louis Tijerina (CoRR, 2021)

Combat COVID-19 infodemic using explainable natural language processing models. - Jackie Ayoub; X. Jessie Yang; Feng Zhou 003 (Inf. Process. Manag., 2021)

Graph convolution network with similarity awareness and adaptive calibration for disease-induced deterioration prediction. - Xuegang Song; Feng Zhou 003; Alejandro F. Frangi; Jiuwen Cao; Xiaohua Xiao; Yi Lei; Tianfu Wang 001; Baiying Lei (Medical Image Anal., 2021)

Fused Sparse Network Learning for Longitudinal Analysis of Mild Cognitive Impairment. - Peng Yang 011; Feng Zhou 003; Dong Ni 001; Yanwu Xu 001; Siping Chen; Tianfu Wang 001; Baiying Lei (IEEE Trans. Cybern., 2021)

Cause-and-Effect Analysis of ADAS: A Comparison Study between Literature Review and Complaint Data. - Jackie Ayoub; Zifei Wang; Meitang Li; Huizhong Guo; Rini Sherony; Shan Bao; Feng Zhou 003 (UI, 2022)

Gene-related Parkinson's disease diagnosis via feature-based multi-branch octave convolution network. - Haijun Lei; Yuchen Zhang; Hancong Li; Zhongwei Huang; Chien-Hung Liu; Feng Zhou 003; Ee-Leng Tan; Xiaohua Xiao; Yi Lei; Huoyou Hu; Yaohui Huang; Baiying Lei (Comput. Biol. Medicine, 2022)

Anticipated emotions associated with trust in autonomous vehicles. - Lilit Avetisyan; Jackie Ayoub; Feng Zhou 003 (CoRR, 2022)

Investigating Explanations in Conditional and Highly Automated Driving: The Effects of Situation Awareness and Modality. - Lilit Avetisyan; Jackie Ayoub; Feng Zhou 003 (CoRR, 2022)

Design a Sustainable Micro-mobility Future: Trends and Challenges in the United States and European Union Using Natural Language Processing Techniques. - Lilit Avetisyan; Chengxin Zhang; Sue Bai; Ehsan Moradi-Pari; Fred Feng; Shan Bao; Feng Zhou 003 (CoRR, 2022)

Cross-Subject Emotion Recognition with Sparsely-Labeled Peripheral Physiological Data Using SHAP-Explained Tree Ensembles. - Feng Zhou 003; Tao Chen 003; Baiying Lei (CoRR, 2022)

Predicting clinical scores for Alzheimer's disease based on joint and deep learning. - Baiying Lei; Enmin Liang; Mengya Yang; Peng Yang 011; Feng Zhou 003; Ee-Leng Tan; Yi Lei; Chuan-Ming Liu; Tianfu Wang 001; Xiaohua Xiao; Shuqiang Wang (Expert Syst. Appl., 2022)

Quantum entanglement inspired hard constraint handling for operations engineering optimization with an application to airport shift planning. - Pan Zou; Shu Wang; Xuejian Gong; Roger Jianxin Jiao; Feng Zhou 003 (Expert Syst. Appl., 2022)

Predicting Driver Fatigue in Monotonous Automated Driving with Explanation using GPBoost and SHAP. - Feng Zhou 003; Areen Alsaid; Mike Blommer; Reates Curry; Radhakrishnan Swaminathan; Dev S. Kochhar; Walter Talamonti; Louis Tijerina (Int. J. Hum. Comput. Interact., 2022)

An Investigation of Drivers' Dynamic Situational Trust in Conditionally Automated Driving. - Jackie Ayoub; Lilit Avetisyan; Mustapha Makki; Feng Zhou 003 (IEEE Trans. Hum. Mach. Syst., 2022)

Predicting Driver Takeover Time in Conditionally Automated Driving. - Jackie Ayoub; Na Du; X. Jessie Yang; Feng Zhou 003 (IEEE Trans. Intell. Transp. Syst., 2022)

Disengagement Cause-and-Effect Relationships Extraction Using an NLP Pipeline. - Yangtao Zhang; X. Jessie Yang; Feng Zhou 003 (IEEE Trans. Intell. Transp. Syst., 2022)

Using Eye-Tracking Data to Predict Situation Awareness in Real Time During Takeover Transitions in Conditionally Automated Driving. - Feng Zhou 003; X. Jessie Yang; Joost C. F. de Winter (IEEE Trans. Intell. Transp. Syst., 2022)

Navigating in the Dark - Designing Autonomous Driving Features to Assist Old Adults with Visual Impairment. - Lashawnda Bynum; Jay Parker; Kristy Lee; Nia Nitschke; Melanie LaFlam; Jennifer Marcussen; Jana Taleb; Aleyna Dogan; Lilit Avetisyan; Lisa J. Molnar; Feng Zhou 003 (AutomotiveUI (Adjunct Proceedings), 2023)

Prospect-theoretic Modeling of Team Cognition for Task Allocation Towards Human-automation Symbiosis. - Shu Wang; Mulang Song; Yiyun Fei; Dandan Zhang; Feng Zhou 003; Nagi Gebraeel; Jianxin Jiao (IEEM, 2023)

Navigating in the Dark - Designing Autonomous Driving Features to Assist Old Adults with Visual Impairments. - Lashawnda Bynum; Jay Parker; Kristy Lee; Nia Nitschke; Melanie LaFlam; Jennifer Marcussen; Jana Taleb; Aleyna Dogan; Lisa J. Molnar; Feng Zhou 003 (CoRR, 2023)

A systematic review of safety-critical scenarios between automated vehicles and vulnerable road users. - Aditya Deshmukh; Zifei Wang; Aaron Gunn; Huizhong Guo; Rini Sherony; Fred Feng; Brian Lin; Shan Bao; Feng Zhou 003 (CoRR, 2023)

Investigating HMIs to Foster Communications between Conventional Vehicles and Autonomous Vehicles in Intersections. - Lilit Avetisyan; Aditya Deshmukh; X. Jessie Yang; Feng Zhou 003 (CoRR, 2023)

Building Trust Profiles in Conditionally Automated Driving. - Lilit Avetisyan; Jackie Ayoub; X. Jessie Yang; Feng Zhou 003 (CoRR, 2023)

Multicenter and Multichannel Pooling GCN for Early AD Diagnosis Based on Dual-Modality Fused Brain Network. - Xuegang Song; Feng Zhou 003; Alejandro F. Frangi; Jiuwen Cao; Xiaohua Xiao; Yi Lei; Tianfu Wang 001; Baiying Lei (IEEE Trans. Medical Imaging, 2023)

Early diagnosis and clinical score prediction of Parkinson's disease based on longitudinal neuroimaging data. - Haijun Lei; Yukang Lei; Zihao Chen; Shiqi Li; Zhongwei Huang; Feng Zhou 003; Ee-Leng Tan; Xiaohua Xiao; Yi Lei; Huoyou Hu; Yaohui Huang; Chien-Hung Liu; et al. (Neural Comput. Appl., 2023)

Real-Time Trust Prediction in Conditionally Automated Driving Using Physiological Measures. - Jackie Ayoub; Lilit Avetisian; X. Jessie Yang; Feng Zhou 003 (IEEE Trans. Intell. Transp. Syst., 2023)

Designing Healthcare Robots at Home for Older Adults: A Kano Model Perspective. - Qiaoning Zhang; Feng Zhou 003; Lionel P. Robert Jr.; X. Jessie Yang (HRI (Companion), 2024)

Manufacturing Nudging Personalization Through Optimization of Nudge Configuration Using 2D Genetic Algorithm. - Shu Wang; Feng Zhou 003; Roger Jianxin Jiao (IEEM, 2024)

Towards Context-Aware Modeling of Situation Awareness in Conditionally Automated Driving. - Lilit Avetisyan; X. Jessie Yang; Feng Zhou 003 (CoRR, 2024)

MHW-GAN: Multidiscriminator Hierarchical Wavelet Generative Adversarial Network for Multimodal Image Fusion. - Cheng Zhao 003; Peng Yang 011; Feng Zhou 003; Guanghui Yue 001; Shuigen Wang; Huisi Wu; Guoliang Chen 005; Tianfu Wang 001; Baiying Lei (IEEE Trans. Neural Networks Learn. Syst., 2024)

Building Contextualized Trust Profiles in Conditionally Automated Driving. - Lilit Avetisyan; Jackie Ayoub; X. Jessie Yang; Feng Zhou 003 (IEEE Trans. Hum. Mach. Syst., 2024)

The Mediating Effects of Emotions on Trust through Risk Perception and System Performance in Automated Driving. - Lilit Avetisyan; Emmanuel Abolarin; Vanik Zakarian; X. Jessie Yang; Feng Zhou 003 (CoRR, 2025)

Knowledge-Aware Multisite Adaptive Graph Transformer for Brain Disorder Diagnosis. - Xuegang Song; Kaixiang Shu; Peng Yang 011; Cheng Zhao 003; Feng Zhou 003; Alejandro F. Frangi; Xiaohua Xiao; Lei Dong; Tianfu Wang 001; Shuqiang Wang; Baiying Lei (IEEE Trans. Medical Imaging, 2025)

Beyond Charging Anxiety: An Explainable Approach to Understanding User Preferences of EV Charging Stations Using Review Data. - Zifei Wang; Emmanuel Abolarin; Kai Wu; Venkatarao Rebba; Jian Hu; Zhen Hu; Shan Bao; Feng Zhou 003 (CoRR, 2025)