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ORCIDFeng Zhou 0003
Person information
- affiliation: University of Michigan at Dearborn, Industrial and Manufacturing Systems Engineering, MI, USA
- affiliation (PhD 2014): Georgia Institute of Technology, School of Mechanical Engineering, Atlanta, GA, USA
- affiliation (PhD 2011): Nanyang Technological University, School of Mechanical and Aerospace Engineering, Singapore
Other persons with the same name
- Feng Zhou — disambiguation page
- Feng Zhou 0001
![[0000-0002-1514-7393]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-1514-7393")
— Xidian University, Ministry Key Laboratory of Electronic Information Countermeasure and Simulation, Xi'an, China - Feng Zhou 0002 — Baidu Research, Sunnyvale, CA, USA (and 2 more)
- Feng Zhou 0004 — Peking University, College of Environmental Sciences and Engineering, Beijing, China
- Feng Zhou 0005 — Central South University China, School of Information Science and Engineering, Changsha, China
- Feng Zhou 0006 — Nanjing University of Information Science and Technology, School of Information and Control, Jiangsu Key Laboratory of Big Data Analysis Technology, China
- Feng Zhou 0007 — Beihang University, State Key Laboratory of Virtual Reality Technology and Systems, Beijing, China
- Feng Zhou 0008 — UISEE (Shanghai) Automotive Technologies Ltd, China
- Feng Zhou 0009 — Army Engineering University of PLA, College of Communications Engineering, Nanjing, China
- Feng Zhou 0010 — Yancheng Institute of Technology, School of Information Technology, China
- Feng Zhou 0011 — University of New South Wales, Sydney, NSW, Australia (and 1 more)
- Feng Zhou 0012 — Harbin Engineering University, Acoustic Science and Technology Laboratory, College of Underwater Acoustic Engineering, China
Other persons with a similar name
- Fengzhou Dai (aka: Feng-Zhou Dai) — Xidian University, National Laboratory of Radar Signal Processing, China
- Zhou Feng
- Feng-Zhou Zhang
- Feng-Dao Zhou
- Feng-Qi Zhou
- Feng-Yan Zhou
- Feng-Ying Zhou
- Jian-Feng Zhou
- Xian-Feng Zhou
- Ya-Feng Zhou
- show all similar names
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2020 – today
- 2024
[j49]Cheng Zhao, Peng Yang, Feng Zhou, Guanghui Yue, Shuigen Wang, Huisi Wu, Guoliang Chen, Tianfu Wang, Baiying Lei:
MHW-GAN: Multidiscriminator Hierarchical Wavelet Generative Adversarial Network for Multimodal Image Fusion. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13713-13727 (2024)- [c24]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: 1183-1187 - [i25]Lilit Avetisyan, X. Jessie Yang, Feng Zhou:
Towards Context-Aware Modeling of Situation Awareness in Conditionally Automated Driving. CoRR abs/2405.07088 (2024) - 2023
- [j48]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): 16429-16455 (2023) - [j47]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): 14642-14650 (2023) - [j46]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): 354-367 (2023) - [c23]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: 150-155 - [c22]Shu Wang, Mulang Song, Yiyun Fei, Dandan Zhang, Feng Zhou, Nagi Gebraeel, Jianxin Jiao:
Prospect-theoretic Modeling of Team Cognition for Task Allocation Towards Human-automation Symbiosis. IEEM 2023: 1158-1162 - [i24]Lashawnda Bynum, Jay Parker, Kristy Lee, Nia Nitschke, Melanie LaFlam, Jennifer Marcussen, Jana Taleb, Aleyna Dogan, Lisa J. Molnar, Feng Zhou:
Navigating in the Dark - Designing Autonomous Driving Features to Assist Old Adults with Visual Impairments. CoRR abs/2302.00499 (2023) - [i23]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 abs/2305.11291 (2023) - [i22]Lilit Avetisyan, Aditya Deshmukh, X. Jessie Yang, Feng Zhou:
Investigating HMIs to Foster Communications between Conventional Vehicles and Autonomous Vehicles in Intersections. CoRR abs/2305.17769 (2023) - [i21]Lilit Avetisyan, Jackie Ayoub, X. Jessie Yang, Feng Zhou:
Building Trust Profiles in Conditionally Automated Driving. CoRR abs/2306.16567 (2023) - 2022
- [j45]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: 105859 (2022) - [j44]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: 115966 (2022) - [j43]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: 117684 (2022) - [j42]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): 719-729 (2022) - [j41]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): 501-511 (2022) - [j40]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): 2284-2295 (2022) - [j39]Jackie Ayoub, Na Du, X. Jessie Yang, Feng Zhou:
Predicting Driver Takeover Time in Conditionally Automated Driving. IEEE Trans. Intell. Transp. Syst. 23(7): 9580-9589 (2022) - [j38]Yangtao Zhang, X. Jessie Yang, Feng Zhou:
Disengagement Cause-and-Effect Relationships Extraction Using an NLP Pipeline. IEEE Trans. Intell. Transp. Syst. 23(11): 21430-21439 (2022) - [c21]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: 139-149 - [i20]Lilit Avetisyan, Jackie Ayoub, Feng Zhou:
Anticipated emotions associated with trust in autonomous vehicles. CoRR abs/2206.09275 (2022) - [i19]Lilit Avetisyan, Jackie Ayoub, Feng Zhou:
Investigating Explanations in Conditional and Highly Automated Driving: The Effects of Situation Awareness and Modality. CoRR abs/2207.07496 (2022) - [i18]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 abs/2208.00249 (2022) - [i17]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 abs/2210.11714 (2022) - [i16]Feng Zhou, Tao Chen, Baiying Lei:
Cross-Subject Emotion Recognition with Sparsely-Labeled Peripheral Physiological Data Using SHAP-Explained Tree Ensembles. CoRR abs/2211.02923 (2022) - [i15]Jackie Ayoub, Lilit Avetisian, X. Jessie Yang, Feng Zhou:
Real-time Trust Prediction in Conditionally Automated Driving Using Physiological Measures. CoRR abs/2212.00607 (2022) - 2021
- [j37]Jackie Ayoub, X. Jessie Yang, Feng Zhou:
Combat COVID-19 infodemic using explainable natural language processing models. Inf. Process. Manag. 58(4): 102569 (2021) - [j36]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: 101947 (2021) - [j35]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): 233-246 (2021) - [c20]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: 142-147 - [c19]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: 173-180 - [c18]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: 1691-1696 - [i14]Jackie Ayoub, X. Jessie Yang, Feng Zhou:
Combat COVID-19 Infodemic Using Explainable Natural Language Processing Models. CoRR abs/2103.00747 (2021) - [i13]Feng Zhou, Areen Alsaid, Mike Blommer, Reates Curry, Radhakrishnan Swaminathan, Dev S. Kochhar, Walter Talamonti, Louis Tijerina:
Predicting Driver Fatigue in Automated Driving with Explainability. CoRR abs/2103.02162 (2021) - [i12]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. CoRR abs/2103.14792 (2021) - [i11]Jackie Ayoub, Na Du, X. Jessie Yang, Feng Zhou:
Predicting Driver Takeover Time in Conditionally Automated Driving. CoRR abs/2107.09545 (2021) - [i10]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 abs/2107.10249 (2021) - [i9]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 abs/2108.04367 (2021) - [i8]Yangtao Zhang, X. Jessie Yang, Feng Zhou:
Disengagement Cause-and-Effect Relationships Extraction Using an NLP Pipeline. CoRR abs/2111.03511 (2021) - [i7]Jackie Ayoub, Lilit Avetisyan, Mustapha Makki, Feng Zhou:
An Investigation of Drivers' Dynamic Situational Trust in Conditionally Automated Driving. CoRR abs/2112.04095 (2021) - 2020
- [j34]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: 106281 (2020) - [j33]Feng Zhou, Areen Alsaid, Mike Blommer, Reates Curry, Radhakrishnan Swaminathan, Dev S. Kochhar, Walter Talamonti, Louis Tijerina, Baiying Lei:
Driver fatigue transition prediction in highly automated driving using physiological features. Expert Syst. Appl. 147: 113204 (2020) - [j32]Feng Zhou, X. Jessie Yang, Xin Zhang:
Takeover Transition in Autonomous Vehicles: A YouTube Study. Int. J. Hum. Comput. Interact. 36(3): 295-306 (2020) - [j31]Feng Zhou, Shu Kong, Charless C. Fowlkes, Tao Chen, Baiying Lei:
Fine-grained facial expression analysis using dimensional emotion model. Neurocomputing 392: 38-49 (2020) - [j30]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): 5089-5111 (2020) - [j29]Jiayuan Fan, Tao Chen, Feng Zhou:
BURSTS: A bottom-up approach for robust spotting of texts in scenes. J. Vis. Commun. Image Represent. 71: 102843 (2020) - [j28]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: 101632 (2020) - [j27]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): 21223-21239 (2020) - [j26]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: 107247 (2020) - [c17]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: 66-73 - [c16]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: 1-7 - [c15]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: 1-8 - [i6]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 abs/2001.04509 (2020) - [i5]Feng Zhou, Tao Chen, Baiying Lei:
Do not forget interaction: Predicting fatality of COVID-19 patients using logistic regression. CoRR abs/2006.16942 (2020) - [i4]Feng Zhou, Yangjian Ji, Roger Jianxin Jiao:
Emotional Design. CoRR abs/2010.03046 (2020) - [i3]Na Du, X. Jessie Yang, Feng Zhou:
Psychophysiological responses to takeover requests in conditionally automated driving. CoRR abs/2010.03047 (2020) - [i2]Jackie Ayoub, X. Jessie Yang, Feng Zhou:
Modeling Dispositional and Initial learned Trust in Automated Vehicles with Predictability and Explainability. CoRR abs/2012.13603 (2020)
2010 – 2019
- 2019
- [j25]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: 63605-63618 (2019) - [j24]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): 27085-27107 (2019) - [j23]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): 1006-1016 (2019) - [j22]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): 527-537 (2019) - [j21]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): 1437-1449 (2019) - [j20]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): 1661-1673 (2019) - [c14]Jackie Ayoub, Feng Zhou, Shan Bao, X. Jessie Yang:
From Manual Driving to Automated Driving: A Review of 10 Years of AutoUI. AutomotiveUI 2019: 70-90 - [c13]Rian Huang, Jiajun Liang, Feng Jiang, Feng Zhou, Nina Cheng, Tianfu Wang, Baiying Lei:
MelanomaNet: An Effective Network for Melanoma Detection. EMBC 2019: 1613-1616 - [c12]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: 384-387 - [c11]Feng Jiang, Feng Zhou, Jing Qin, Tianfu Wang, Baiying Lei:
Decision-Augmented Generative Adversarial Network for Skin Lesion Segmentation. ISBI 2019: 447-450 - [c10]Xin Zhao, Feng Zhou, Le Ou-Yang, Tianfu Wang, Baiying Lei:
Graph Convolutional Network Analysis for Mild Cognitive Impairment Prediction. ISBI 2019: 1598-1601 - 2018
- [j19]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: 290-302 (2018) - [c9]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: 671-675 - [c8]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: 3268-3272 - [c7]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: 1411-1414 - [i1]Feng Zhou, Shu Kong, Charless C. Fowlkes, Tao Chen, Baiying Lei:
Fine-Grained Facial Expression Analysis Using Dimensional Emotion Model. CoRR abs/1805.01024 (2018) - 2017
- [j18]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: 1-15 (2017) - [j17]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: 284-296 (2017) - [j16]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: 306-317 (2017) - [j15]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): 1755-1767 (2017) - [j14]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): 1095-1104 (2017) - 2016
- [j13]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): 1047-1060 (2016) - 2015
- [j12]Feng Zhou, Roger Jianxin Jiao, Bai Ying Lei:
A linear threshold-hurdle model for product adoption prediction incorporating social network effects. Inf. Sci. 307: 95-109 (2015) - [j11]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: 80-94 (2015) - [c6]Feng Zhou, Roger J. Jiao:
Feature model augmentation with sentiment analysis for product line planning. IEEM 2015: 1689-1693 - [c5]Feng Zhou, Roger J. Jiao:
Latent customer needs elicitation for big-data analysis of online product reviews. IEEM 2015: 1850-1854 - 2014
- [j10]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): 285-302 (2014) - [j9]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) - [j8]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): 468-483 (2014) - [c4]Yitao Liu, Prashanth Irudayaraj, Feng Zhou, Roger J. Jiao, Joseph N. Goodman:
SysML-based Model Driven Discrete-Event Simulation. CE 2014: 617-626 - [c3]Feng Zhou, Yangjian Ji, Roger J. Jiao:
Predicting Product Adoption in Large Social Networks for Demand Estimation. CE 2014: 890-899 - 2013
- [j7]Feng Zhou, Yangjian Ji, Roger Jianxin Jiao:
Affective and cognitive design for mass personalization: status and prospect. J. Intell. Manuf. 24(5): 1047-1069 (2013) - [c2]Feng Zhou, Roger Jianxin Jiao:
An improved user experience model with cumulative prospect theory. CSER 2013: 870-877 - 2012
- [j6]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): 1985-2001 (2012) - [j5]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): 201-212 (2012) - 2011
- [j4]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): 801-819 (2011) - [j3]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) - [j2]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): 179-189 (2011) - 2010
- [j1]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)
2000 – 2009
- 2008
- [c1]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: 193-202
Coauthor Index
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