Fei Wang

Sr. Director

Research Areas: Risk Modeling, Time Series Analysis and Recommendation Systems

Headshot of Visa researcher Fei Wang.

Biography

Dr. Fei Wang joined Visa Research as a Sr. Director in November 2019, where he is leading a team the Transactions Insights team on cutting-edge AI technologies. Prior to joining Visa, Fei was a Lead Scientist at AIBEE Inc., responsible for computer vision technologies for their smart parking project. Before joining AIBEE, Fei was the Chief Scientist at Huami USA, leading the research and development teams for AI technologies, powering their healthcare devices. Fei also worked as a Lead Data Scientist at AliveCor, responsible for their first FDA-approved mobile ECG algorithm in the industry.

He received his Ph.D. and M.S. in Computer Science from the University of Florida in 2006 and 2003, respectively, and received his B.S. in Electrical Engineering from the University of Science and Technology of China in 2001. His research interests are in risk modeling, time series analysis, anomaly detection and recommendation systems. Dr. Wang holds 32 patents and has published 50 papers in several international conferences and journals, including Visual Analytics Science and Technology Conference (IEEE VAST), Institute of Electrical and Electronic Engineers/Association for Computing Machinery (IEEE ACM), International Conference on Multimedia & Expo (ICMEW) and many more. He is the recipient of twelve awards, including the 2013 IBM Research Grant Challenge for project “Medical Sieve,” the best paper award at the 2010 ACM International Conference on Multimedia Information Retrieval, and the 1998 Chen Hsong Industrial Scholarship at University of Science and Technology of China (awarded to only 45 college students, or top 1%, in China), among many others.

Thesis

  • Wang, F. (2006). Information Theoretic Measures and their Applications to Image Registration and Segmentation. Ph.D. thesis, University of Florida

Conferences

  • Fei Wang, Vemuri, B. C., & Rangarajan, A. (2019). Groupwise point pattern registration using a novel CDF-based Jensen Shannon Divergence. 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1, 1283-1288.
  • Zhao, J., Gou, L., Wang, F., & Zhou, M. (2014). PEARL: An interactive visual analytic tool for understanding personal emotion style derived from social media. IEEE Conference on Visual Analytics Science and Technology (VAST).
  • Luo, L., Wang, F., Zhou, Michelle X., Pan, Yingxin, & Chen, H. (2014). Who have got answers?: growing the pool of answerers in a smart enterprise social QA system. International Conference on Intelligent User Interfaces, 7-16.
  • Pal, A., Wang, F., Zhou, M. X., Nichols, J., & Smith, B. A. (2013). Question routing to user communities. ACM International Conference on Conference on Information & Knowledge Management.
  • Zhou, M. X., Wang, F., Zimmerman, T., Yang, H., Haber, E., & Gou, L. (2013). Computational discovery of personal traits from social multimedia. IEEE International Conference on Multimedia and Expo Workshops (ICMEW).
  • Chen, T., Zhang, Y., Wang, C., Qu, Z., Wang, F., & Syeda-Mahmood, T. (2013). Complex local phase based subjective surfaces (CLAPSS) and its application to DIC red blood cell image segmentation. Neurocomputing, 99, 98–110.
  • Syeda-Mahmood, T., Wang, F., Kumar, R., Beymer, D., Zhang, Y., Lundstrom, R., & McNulty, E. (2012). Finding Similar 2D X Ray Coronary Angiograms. Medical Image Computing and Computer-Assisted Intervention – MICCAI, 2012, 501–508.
  • Wang, F., Zhang, Y., Greenspan, H., Syeda-Mahmood, T., & Beymer, D. (2011). Automatic classification of images of an angiography sequence using modified shape context-based spatial pyramid kernels. IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
  • Chen, T., Zhang, Y., Wang, C., Qu, Z., Cai, M., Wang, F., & Syeda-Mahmood, T. (2011). Local complex phase based level set and its application to DIC red blood cell segmentation. 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
  • Wang, F., Ercegovac, V., Syeda-Mahmood, T., Holder, A., Shekita, E., Beymer, D., & Xu, L. H. (2010). Large-scale multimodal mining for healthcare with mapreduce. ACM International Conference on Health Informatics.

  • Syeda-Mahmood, T., Beymer, D., Wang, F., Mahmood, A., Lundstrom, R. J., Shafee, N., & Holve, T. (2010). Automatic Selection of Keyframes from Angiogram Videos. International Conference on Pattern Recognition.
  • Syeda-Mahmood, T., Turaga, P., Beymer, D., Wang, F., Amir, A., Greenspan, H., & Pohl, K. (2010). Shape-based similarity retrieval of Doppler images for clinical decision support. IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
  • Wernick, M., Yang, Y., Brankov, J., Yourganov, G., & Strother, S. (2010). Machine Learning in Medical Imaging. IEEE Signal Processing Magazine, 27(4), 25–38.
  • Syeda-Mahmood, T. F., Wang, F., & Beymer, D. (2010). Recognition of object categories using affine kernels. International Conference on Multimedia Information Retrieval – MIR.
  • Müller, H., Kalpathy–Cramer, J., Caputo, B., Syeda-Mahmood, T., & Wang, F. (2010). Overview of the First Workshop on Medical Content–Based Retrieval for Clinical Decision Support at MICCAI 2009. Medical Content-Based Retrieval for Clinical Decision Support, 1–17.
  • Wang, F., Syeda-Mahmood, T., Vemuri, B. C., Beymer, D., & Rangarajan, A. (2009). Closed-form Jensen-Renyi divergence for mixture of Gaussians and applications to group-wise shape registration. International Conference on Medical Image Computing and Computer-Assisted Intervention, 12(Pt 1), 648–655.
  • Kumar, R., Vemuri, B. C., Wang, F., Syeda-Mahmood, T., Carney, P. R., & Mareci, T. H. (2009). Multi-fiber Reconstruction from DW-MRI Using a Continuous Mixture of Hyperspherical von Mises-Fisher Distributions. Lecture Notes in Computer Science, 139–150.
  • Wang, F., Vemuri, B., & Syeda-Mahmood, T. (2009). Generalized L2-divergence and its application to shape alignment. International Conference on Information Processing in Medical Imaging, 21, 227–238.
  • Kumar, R., Fei Wang, Beymer, D., & Syeda-Mahmood, T. (2009). Echocardiogram view classification using edge filtered scale invariant motion features. 2009 IEEE Conference on Computer Vision and Pattern Recognition.
  • Beymer, D., Syeda-Mahmood, T., Amir, A., Wang, F., & Adelman, S. (2009). Automatic estimation of left ventricula dysfunction from echocardiogram videos. 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.
  • Syeda-Mahmood, T., & Wang, F. (2008). Shape-Based Retrieval of Heart Sounds for Disease Similarity Detection. LNCS, 5303, 568–581.
  • Wang, F., Vemuri, B. C., Rangarajan, A., & Eisenschenk, S. J. (2008). Simultaneous Nonrigid Registration of Multiple Point Sets and Atlas Construction. IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(11), 2011–2022.
  • Beymer, D., Syeda-Mahmood, T., & Fei Wang. (2008). Exploiting spatio-temporal information for view recognition in cardiac echo videos. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.
  • Syeda-Mahmood, T., Wang, F., Beymer, D., London, M., & Reddy, R. (2008). Characterizing Spatio-temporal Patterns for Disease Discrimination in Cardiac Echo Videos.
  • Wang, F., Syeda-Mahmood, T., & Beymer, D. (2007). Finding disease similarity by combining ECG with heart auscultation sound. Computers in Cardiology, 2007, 261-264.
  • Syeda-Mahmood, T., Wang, F., Beymer, D., Amir, A., Richmond, M., & Hashmi, S. (2007). AALIM: Multimodal Mining for Cardiac Decision Support.
  • Syeda-Mahmood, T., Beymer, D., & Wang, F. (2007). Shape-based Matching of ECG Recordings. IEEE Internationa Conference of Engineering in Medicine and Biology Society, 2012-2018.
  • Wang, F., & Vemuri, B. C. (2007). Non-Rigid Multi-Modal Image Registration Using Cross-Cumulative Residual Entropy. International Journal of Computer Vision, 74(2), 201–215.
  • Syeda-Mahmood, T., & Wang, F. (2007). Unsupervised Clustering using Multi-Resolution Perceptual Grouping. IEEE Conference on Computer Vision and Pattern Recognition, 1-8.
  • Wang, F., Vemuri, B. C., & Eisenschenk, S. J. (2006). Joint Registration and Segmentation of Neuroanatomic Structures From Brain MRI. Academic Radiology, 13(9), 1104–1111.
  • Rao, M., Chen, Y., Vemuri, B. C., & Wang, F. (2004). Cumulative Residual Entropy: A New Measure of Information. IEEE Transactions on Information Theory, 50(6), 1220–1228.
  • Wang, F., Davis, T. E., & Vemuri, B. C. (2002). Real-Time DRR Generation Using Cylindrical Harmonics. Medical Image Computing and Computer-Assisted Intervention — MICCAI 2002, 671–678.
  • Syeda-Mahmood, T., Wang, F., Kumar, R., Beymer, D., Zhang, Y., Lundstrom, R., … Facc. (2002). Finding Similar 2D X-Ray Coronary Angiograms.

Books

  • B. Caputo, H. Müller, T. Syeda-Mahmood, J. S. Duncan, F. Wang, & J. Kalpathy-Cramer (Eds.). (2010). Medical Content Based Retrieval for Clinical Decision Support. Spring Lecture Notes in Computer Science.
  • Kenji Suzuki, Fei Wang, Dinggang Shen, & Yan, P (Eds). (2011). Machine Learning in Medical Imaging. Springer Lecture Notes in Computer Science.

Patents

  • Mahmud, J. U., Pal, A., & Wang, F. (2019). Determining group attributes and matchings tasks to a group. U.S. Patent App. 16,442,620. U.S. Patent and Trademark Office.
  • (2018). Adverse physiological events detection. U.S. Patent No. US2018 0140203A1. U.S. Patent and Trademark Office.
  • Luo, L., Wang, F., & Zhou, M. X. (2018). Smart question routing and answerer growing for online community question-answer services. U.S. Patent No. 14,061,804. U.S. Patent and Trademark Office.
  • (2018). Cardiac condition detection. U.S. Patent No. US20180146922A1. U.S. Patent and Trademark Office.
  • Gou, L., Pal, A., Wang, F., Zhang, W., & Zhou, M. (2018). Modeling and visualizing a dynamic interpersonal relationship from social media. U.S. Patent No. 10,068,204. U.S. Patent and Trademark Office.
  • (2017). Garment and Cardiac Data Processing. U.S. Patent No. US20180007983A1. U.S. Patent and Trademark Office.
  • Pal, A., & Wang F. (2017). Question routing for user communities. U.S. Patent No. 15,293085. U.S. Patent and Trademark Office.
  • (2017). Method, apparatus and system for biometric identification. U.S. Patent No. US20170091595A1. U.S. Patent and Trademark Office.
  • Huang, W., Su, J., Zhao, Y., Wang, F., & Wang, Y. (2017). Wearable Apparatus For ECG Signal Acquisition. U.S. Patent No. US20170273584A1. U.S. Patent and Trademark Office.
  • Xie, W., & Wang, F. (2017). System and method for authenticating a broadcast device using facial recognition. U.S. Patent No. US20170149517A1. U.S. Patent and Trademark Office.

  • Wang, F., Chen, T., & Zhao, Y. (2017). Multi-modal biometric identification. U.S. Patent No. US9787676B2. U.S. Patent and Trademark Office.
  • Wang, F., Chen, T. (2017). Wearable biometric measurement device. U.S. Patent No. US20170071483A1. U.S. Patent and Trademark Office.
  • Wang, F., Chen, T., & Yu, M. (2016). Gesture control of interactive events using multiple wearable devices. U.S. Patent No. US9864434B2. U.S. Patent and Trademark Office.
  • Wang, F., & Chen, T. (2016). Method, apparatus and system for biometric identification. U.S. Patent No. US9824287B2. U.S. Patent and Trademark Office.
  • Gopalakrishnan, R., Korzinov, L., Wang, F., Thomson, E., Srivastava, N., Dawood, O., Abuzeid, D., & Albert D. A. (2016). Methods and systems for arrhythmia tracking and scoring U.S. Patent No. US20150164349A1. U.S. Patent and Trademark Office.
  • Pal, A., & Wang, F. (2016). Question routing for user communities. U.S. Patent No. 9,508,104. U.S. Patent and Trademark Office.
  • Gou, L., Pal, A., Wang, F., & Zhou, M. X. (2016). Personalized product recommendation based on brand personality scale. U.S. Patent No. 14,453,081. U.S. Patent and Trademark Office.
  • Chen, J., Mahmud, J. U., Pal, A., Shami, N. S., & Wang, F. (2016). Optimization of trait and expertise for workforce selection. U.S. Patent No. 14,594,200. U.S. Patent and Trademark Office.
  • Syeda-Mahood, T. F., Wang, F., & Beymar, D. J. (2015). Finding similar coronary angiograms in a database. U.S. Patent No. 9,135,272. U.S. Patent and Trademark Office.
  • Mahmud, J. U., Pal, A., & Wang. F. (2015). Determining group attributes and matching tasks to a group. U.S. Patent No. 14,300,342. U.S. Patent and Trademark Office.
  • Beymer, D. J., Kumar, R. K., Syeda-Mahmood, T. F., Wang, F., & Zhang, Y. (2015). Bidirectional blood vessel segmentation. U.S. Patent No. 9,092,849. U.S. Patent and Trademark Office.
  • Gou, L., Wang, F., Zhao, J., & Zhou, M. X. (2015). Personal emotion state monitoring from social media. U.S. Patent No. 1,416,798. U.S. Patent and Trademark Office.
  • Beymer, D. J., Greenspan, H., Syeda-Mahmood, T. F., Wang, F., & Zhang, Y. (2015). Vessel identification using shape and motion mapping for coronary angiogram sequences. U.S. Patent No. 9,053,551. U.S. Patent and Trademark Office.
  • Beymer, D. J., Greenspan, H., Syeda-Mahmood, T. F., Wang, F., & Zhang, Y. (2015). Vessel identification using shape and motion mapping for coronary angiogram sequences. U.S. Patent No. 9,008,393. U.S. Patent and Trademark Office.
  • Beymer, D. J., Kumar, R. K., Syeda-Mahmood, T. F., Wang, F., & Zhang, Y. (2015). Bidirectional blood vessel segmentation. U.S. Patent No. 9,064,306. U.S. Patent and Trademark Office.
  • Beymar, D. J., Kumar, R. K., Syeda-Mahmood, T. F., & Wang, F. (2014). Echocardiogram view classification using edge filtered scale-invariant motion features. U.S. Patent No. 8,750,375. U.S. Patent and Trademark Office.
  • Beymar, D. J., Kumar, R. K., Syeda-Mahmood, T. F., & Wang, F. (2014). Echocardiogram view classification using edge filtered scale-invariant motion features. U.S. Patent No. 8,744,152. U.S. Patent and Trademark Office.
  • Beymer, D.J., Wang, F., & Mahmod, T.F. (2013). Systems and methods for cardiac view recognition and disease recognition. U.S. Patent No. 8,594,398. U.S. Patent and Trademark Office.
  • Syeda-Mahood, T. F., & Wang, F. (2012). Method and apparatus for retrieval of similar heart sounds from a database. U.S. Patent No. 8,137,283. U.S. Patent and Trademark Office.
  • Beymar, D. J., Wang, F., & Syeda-Mahmood, T. F. (2014). Cardiac view recognition and disease recognition. U.S. Patent No. 8,917,917. U.S. Patent and Trademark Office.
  • Syeda-Mahmood, T. F., & Wang, F. (2011). Method and apparatus for determining a heart period from an ecg waveform using image representation of ecg. U.S. Patent No. 12,714,020. U.S. Patent and Trademark Office.
  • Syeda-Mahmood, T. F., & Wang, F. (2010). System and method for inferring disease similarity by shape matching of ECG time series. U.S. Patent No. 7,783,342. U.S. Patent and Trademark Office.