| Trends in augmented reality tracking, interaction and display: A review of ten years of ISMAR F Zhou, HBL Duh, M Billinghurst 2008 7th IEEE/ACM International Symposium on Mixed and Augmented Reality …, 2008 | 1662 | 2008 |
| Melanoma recognition in dermoscopy images via aggregated deep convolutional features Z Yu, X Jiang, F Zhou, J Qin, D Ni, S Chen, B Lei, T Wang IEEE Transactions on Biomedical Engineering 66 (4), 1006-1016, 2018 | 187 | 2018 |
| A robust audio watermarking scheme based on lifting wavelet transform and singular value decomposition B Lei, Y Soon, F Zhou, Z Li, H Lei Signal processing 92 (9), 1985-2001, 2012 | 173 | 2012 |
| Affective and cognitive design for mass personalization: status and prospect F Zhou, Y Ji, RJ Jiao Journal of Intelligent Manufacturing 24 (5), 1047-1069, 2013 | 165 | 2013 |
| Compact generalized non-local network K Yue, M Sun, Y Yuan, F Zhou, E Ding, F Xu Advances in neural information processing systems 31, 2018 | 164 | 2018 |
| Deep learning framework for Alzheimer’s disease diagnosis via 3D-CNN and FSBi-LSTM C Feng, A Elazab, P Yang, T Wang, F Zhou, H Hu, X Xiao, B Lei IEEE Access 7, 63605-63618, 2019 | 142 | 2019 |
| A case-driven ambient intelligence system for elderly in-home assistance applications F Zhou, JR Jiao, S Chen, D Zhang IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2010 | 133 | 2010 |
| Latent Customer Needs Elicitation by Use Case Analogical Reasoning From Sentiment Analysis of Online Product Reviews F Zhou, R Jiao, JS Linsey ASME Journal of Mechanical Design 137 (7), 071401 (Jul 01, 2015) (12 pages), 2015 | 110 | 2015 |
| Dense deconvolutional network for skin lesion segmentation H Li, X He, F Zhou, Z Yu, D Ni, S Chen, T Wang, B Lei IEEE journal of biomedical and health informatics 23 (2), 527-537, 2018 | 108 | 2018 |
| A deeply supervised residual network for HEp-2 cell classification via cross-modal transfer learning H Lei, T Han, F Zhou, Z Yu, J Qin, A Elazab, B Lei Pattern Recognition 79, 290-302, 2018 | 108 | 2018 |
| Examining the Effects of Emotional Valence and Arousal on Takeover Performance in Conditionally Automated Driving N Du, F Zhou, E Pulver, DM Tilbury, LP Robert, AK Pradhan, XJ Yang Transportation Research Part C: Emerging Technologies, 2020 | 95 | 2020 |
| Affect prediction from physiological measures via visual stimuli F Zhou, X Qu, MG Helander, JR Jiao International Journal of Human-Computer Studies 69 (12), 801-819, 2011 | 91 | 2011 |
| Combat COVID-19 Infodemic Using Explainable Natural Language Processing Models J Ayoub, XJ Yang, F Zhou Information Processing and Management, 2021 | 83 | 2021 |
| From Manual Driving to Automated Driving: A Review of 10 Years of AutoUI J Ayoub, F Zhou, S Bao, XJ Yang 11th International ACM Conference on Automotive User Interfaces and …, 2019 | 83 | 2019 |
| Emotion Prediction from Physiological Signals: A Comparison Study Between Visual and Auditory Elicitors F Zhou, X Qu, JR Jiao, MG Helander Interacting with Computers 26 (3), 285-302, 2014 | 67 | 2014 |
| Fundamentals of product ecosystem design for user experience F Zhou, Q Xu, RJ Jiao Research in Engineering Design 22 (1), 43-61, 2011 | 67 | 2011 |
| Driver fatigue transition prediction in highly automated driving using physiological features F Zhou, A Alsaid, M Blommer, R Curry, R Swaminathan, D Kochhar, ... Expert Systems with Applications 147, 113204, 2020 | 61 | 2020 |
| Psychophysiological responses to takeover requests in conditionally automated driving N Du, XJ Yang, F Zhou Accident Analysis & Prevention, 2020 | 58 | 2020 |
| Augmenting Feature Model through Customer Preference Mining by Hybrid Sentiment Analysis F Zhou, JR Jiao, XJ Yang, B Lei Expert Systems with Applications, 2017 | 57 | 2017 |
| Predicting Driver Takeover Performance in Conditionally Automated Driving N Du, F Zhou, E Pulver, D Tilbury, L Robert, A Pradhan, XJ Yang Accident Analysis & Prevention, 2020 | 54 | 2020 |
Baiying LeiDistinguished Professor of Shenzhen UniversityVerified email at email.unc.edu
