Selected Publications (see Google Scholar)

Journal Papers

1. Zhou, F., Yang, X.J. & Zhang, X. (Accepted). Takeover transition in autonomous vehicles: A YouTube Study. International Journal of Human-Computer Interaction. https://www.tandfonline.com/eprint/NhXBqp2sN5jMgmdfZ8bH/full?target=10.1080/10447318.2019.1634317.
2. Yu, Z. Jiang, X. Zhou, F., Qin, J., Ni, D., Chen, S., Lei, B., Wang, T. 2019. Melanoma Recognition in Dermoscopy Images via Aggregated Deep Convolutional Features. IEEE Transactions on Biomedical Engineering 66 (4), 1006-1016.
3. Li, H., He, X., Zhou, F., Yu, Z., Ni, D., Chen, S., Wang, T., Lei, B. 2019. Dense deconvolutional network for skin lesion segmentation. IEEE Journal of Biomedical and Health Informatics 23 (2), 527-537.
4. Lei, B., Yang, P., Zhuo, Y., Zhou, F., Ni, D., Chen, S., Xiao, X., Wang, T. 2018. Neuroimaging Retrieval via Adaptive Ensemble Manifold Learning for Brain Disease Diagnosis (2018/10/1). IEEE Journal of Biomedical and Health Informatics doi: 10.1109/JBHI.2018.2872581.
5. Lei, H., Han, T., Zhou, F., Yu, Z., Qin, J., Elazab, A. and Lei, B. 2018. A deeply supervised residual network for HEp-2 cell classification via cross-modal transfer learning. Pattern Recognition, 79, 290-302.
6. Lei, H., Huang, Z., Zhang, J., Yang, Z., Tan, E.L. Zhou, F., Lei, B. 2017. Joint detection and clinical score prediction in Parkinson’s disease via multi-modal sparse learning, Expert Systems with Applications, 80, 284-296.
7. Song, Y., He, L., Zhou, F., Chen, S., Ni, D., Lei, B. and Wang, T. 2017. Segmentation, Splitting, and Classification of Overlapping Bacteria in Microscope Images for Automatic Bacterial Vaginosis Diagnosis. IEEE Journal of Biomedical and Health Informatics, 21, (4) 1095-1104.
8. Zhou, F., Jiao, J. R., Yang, X. J., Lei, B., 2017. Augmenting feature model through customer preference mining by hybrid sentiment analysis, Expert Systems with Applications, 89, 306-317.
9. Zhou, F., Lei, B., Liu, Y., Jiao, J.R., 2017. Affective parameter shaping in user experience prospect evaluation based on hierarchical Bayesian estimation, Expert Systems with Applications, 78, 1-15.
10. Lei, B., Zhao, X., Lei H., Ni, D., Chen, S., Zhou, F., Wang T. 2017. Multipurpose watermarking scheme via intelligent method and chaotic map, Multimedia Tools and Applications, 1-23.
11. Jiao, J.R., Zhou, F., Chu, C.H. 2016. Decision theoretic modeling of affective and cognitive needs for product experience engineering: key issues and a conceptual framework, Journal of Intelligent Manufacturing, doi:10.1007/s10845-016-1240-z.
12. Lei, B., Zhou, F., Tan, E. L., Ni, D., Lei, H., Chen, S., Wang, T. 2015. Optimal and secure audio watermarking scheme based on self-adaptive particle swarm optimization and quaternion wavelet transform, Signal Processing, 113 (Aug.), 80-94.
13. Zhou, F., Jiao, R. J., & Lei, B., 2015. A Linear threshold-hurdle model for product adoption prediction incorporating social network effects, Information Sciences, 307(20), 95-109.
14. Zhou, F., Jiao, R.J., Lindsey, J., 2015. Latent customer needs elicitation by use case analogical reasoning from sentiment analysis of online product reviews, ASME Journal of Mechanical Design, 137(7), 071401.
15. Zhou, F., Ji, Y. & Jiao, R.J., 2014. Prospect theoretic modeling of customer affective-cognitive decisions under uncertainty for user experience design, IEEE Transactions on Human-Machine Systems, 44(4), 468-483.
16. Lei, B., Ni, D., Chen, S., Wang, T., Zhou, F. 2014. Optimal image watermarking scheme based on chaotic map and quaternion wavelet transform, Nonlinear Dynamics, 78 (4), 2897-2907.
17. Zhou, F., Ji, Y. & Jiao, R.J., 2014. Augmented affective-cognition for usability study of in-vehicle system user interface, ASME Journal of Computing and Information Science in Engineering, 14(2), 021001.
18. Zhou, F., Qu, X., Jiao, R.J. & Helander, M.G., 2014. Emotion prediction from physiological signals: A comparison study between visual and auditory elicitors. Interacting with Computers, 26(3), 285-302.
19. Zhou, F., Ji, Y. & Jiao, R.J., 2012. Affective and cognitive design for mass personalization: Status and prospect. Journal of Intelligent Manufacturing, 24(5), 1047-1069.
20. Zhou, F., Jiao, R.J., Xu, Q. & Takahashi, K., 2012. User experience modeling and simulation for product ecosystem design based on fuzzy reasoning petri nets. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, 42 (1), 201-212.
21. Lei, B., Soon, I. Y., Zhou, F., Li, Z., Lei, H. 2012. A robust audio watermarking scheme based on lifting wavelet transform and singular value decomposition. Signal Processing, 92 (9), 1985-2001.
22. Zhou, F., Qu, X., Helander, M.G. & Jiao, R.J., 2011. Affect prediction from physiological measures via visual stimuli. International Journal of Human-Computer Studies, 69 (12), 801-819.
23. Xu, Q., Zhou, F. & Jiao, R.J., 2011. Affective-cognitive modeling for user experience with modular colored fuzzy Petri nets. ASME Journal of Computing and Information Science in Engineering, 11 (1), 011004-10.
24. F Xu, J., Fang, Z., Zhou, F. 2011. Sonification-based electronic aid system for the visually impaired, Journal of Convergence Information Technology, 6 (5), 209-217.
25. Zhou, F., Jiao, R.J., Chen, S. & Zhang, D., 2011. A case-driven ambient intelligence system for elderly in-home assistance applications. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 41 (2), 179-189.
26. Zhou, F., Xu, Q. & Jiao, R.J., 2011. Fundamentals of product ecosystem design for user experience. Research in Engineering Design, 22 (1), 43-61.
27. Zhou, F., Jiao, R.J., Schaefer, D. & Chen, S., 2010. Hybrid association mining and refinement for affective mapping in emotional design. ASME Journal of Computing and Information Science in Engineering, 10 (3), 031010-9.

Conference Papers

1. Ayoub, J., Zhou, F., Yang, X.J., Bao, Shan., Talamonti, W. (Accepted). From Manual Driving to Automated Driving: A Review of 10 Years of AutoUI. 11th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutoUI'19), Utrecht, Netherlands, Sept. 22-25, 2019.
2. Du, N., Ayoub, J., Zhou, F., Pradhan, A. K., Robert, L., Tilbury, D., Pulver, E., Yang, X. J., 2019. Effects of drivers’ emotions on takeover readiness and performance in highly automated driving. HFES 63rd International Annual Meeting, Seattle Washington, October 28 - November 1, 2019.
3. Zhou, F., Ayoub, J., Xu, Q., Yang, X. J., 2019. Analyzing Customer Needs of Product Ecosystems Using Online Product Reviews. ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Anaheim, CA. August 18-21, 2019.
4. Du, N., Ayoub, J., Zhou, F., Pradhan, A. K., Robert, L., Tilbury, D., Pulver, E., Yang, X. J., 2019. Effects of driver’s emotion on takeover readiness and performance in highly automated driving. The 3rd IAVSD Workshop on Dynamics of Road Vehicles: Connected and Automated Vehicles. Ann Arbor, Michigan, April 28-30, 2019.
5. Li, H., He, X., Yu, Z., Zhou, F., Cheng, J. Z., Huang, L., Wang, T., Lei, B. 2018. Skin Lesion Segmentation via Dense Connected Deconvolutional Network. 24th International Conference on Pattern Recognition, Beijing, China, August 20-24, 2018.
6. Lei, H., Zhao, Y., Huang, Z., Zhou, F. and Lei, B., 2018 Multi-classification of Parkinson’s Disease via Sparse Low-Rank Learning. 24^th International Conference on Pattern Recognition. Beijing, China, August 20-24, 2018.
7. Irudayaraj, P., Liu, Y., Zhou, F., Jiao, R. J., Goodman, J. N., 2014. A case study of modeling and simulation for manufacturing, installation, and maintenance of solar power systems, ASME 2014 International Design Engineering Technical Conferences (IDETC) & Computers and Information in Engineering Conference (CIE), Aug. 17-20, Buffalo, New York, USA.
8. Jariwala, A.S., Zhou, F., Zeng, H., Lee, S., Jiao, R.J., 2014. Case study of a multidisciplinary engineering capstone design project: electric drive control system, ASEE 2014 121st Annual Conference & Exposition, June 15-18, Indianapolis, Indiana, USA.
9. Zhou, F. & Jiao, R.J., 2013. An augmented affective-cognition framework for usability studies of in-vehicle system user interface. ASME 2013 International Design Engineering Technical Conferences (IDETC) & Computers and Information in Engineering Conference (CIE), Aug. 4-7, Portland, OR, USA.
10. Zhou, F. & Jiao, R.J., 2013. Hierarchical Bayesian parameter estimation for modeling and analysis of user affective influence. ASME 2013 International Design Engineering Technical Conferences (IDETC) & Computers and Information in Engineering Conference (CIE), Aug. 4-7, Portland, OR, USA.
11. Zhou, F. & Jiao, R.J., 2013. A nested multivariate utility copulas approach to aggregating user experience partworths for aircraft cabin interior design. ASME 2013 International Design Engineering Technical Conferences (IDETC) & Computers and Information in Engineering Conference (CIE), Aug. 4-7, Portland, OR, USA.
12. Zhou, F. & Jiao, R.J., 2013. Quantification of customer perception on airplane cabin lighting design based on cumulative prospect theory. ASME 2013 International Design Engineering Technical Conferences (IDETC) & Computers and Information in Engineering Conference (CIE), Aug. 4-7, Portland, OR, USA.
13. Zhou, F. & Jiao, R.J., 2013. An improved user experience model with cumulative prospect theory. Procedia Computer Science, 16 (0), 870-877.
14. Xu, Q., Zhou, F. & Jiao, J.R., 2011. Petri net-based affective-cognitive modeling for product ecosystem design. ASME 2011 International Design Engineering Technical Conferences (IDETC) and Computers and Information in Engineering Conference (CIE), Aug. 28-31, Washington D.C., USA.
15. Zhou, F., Qu, X., Jiao, J.R., & Helander, M.G., 2011, Affect prediction for emotional design: A comparison study of physiological and subjective self-report data. ASME 2011 International Design Engineering Technical Conferences (IDETC) and Computers and Information in Engineering Conference (CIE), Aug. 28-31, Washington D.C., USA.
16. Zhou, F., Jiao, R.J., Xu, Q., Chen, S., & Helander, M.G., 2009, An Affective-Cognitive Framework of Product Ecosystem Design. The IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2009), Dec. 8-11, Hong Kong.
17. Zhou, F., Jiao, R.J., Chen, S., & Zhang, D., 2009, A Context-aware information model for elderly homecare services in a smart home. ASME 2009 International Design Engineering Technical Conferences (IDETC) & Computers and Information in Engineering Conference (CIE), Aug. 30-Sept. 2, San Diego, USA.
18. Zhou, F., Jiao, R.J., Schaefer, D. & Chen, S., 2009, Rough set based rule mining for affective design, The 17th International Conference on Engineering Design (ICED'09), Aug. 24-27, Stanford University, Stanford, CA, USA.
19. Zhou, F., Wu, D., Yang, X., & Jiao, R.J., 2008, Ordinal logistic regression for affective product design. The IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2008), Dec. 8-11, Singapore.
20. Yang, X., Wu, D., Zhou, F., & Jiao, R.J, 2008, Association rule mining for affective product design, in The IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2008), Dec. 8-11, Singapore.
21. Zhou, F., Duh, H.B.L., & Billinghurst, M., 2008, Trends in augmented reality tracking, interaction and display: A review of ten years of ISMAR. The 7th IEEE and ACM International Symposium on Mixed and Augmented Reality, Sept. 15-18, Cambridge, UK.
22. Zhou, F., Tan, A., & Jiao, R.J., 2008, Emergency logistics using graph theory and abstraction hierarchy, The 4th IEEE International Conference on Management of Innovation and Technology (ICMIT2008), Sept. 21-24, Bangkok.
23. Zhou, F., Fang, Z.G., & Xu, J., 2007, Constructing support vector machine kernels from orthogonal polynomials for face and speaker verification, The Fourth International Conference on Image and Graphics (ICIG 2007), Aug. 22-24, Chengdu, China.