default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
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
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-07 20:32 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
