Fei Sha

2002-2006 Computer Science University of Pennsylvania, Philadelphia, PA, United States 
Statistical Machine Learning, Principled Probabilistic Models and Algorithms
"Fei Sha"


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Lawrence K. Saul grad student 2007 Penn
 (Large margin training of acoustic models for speech recognition.)
Michael I. Jordan post-doc 2005-2006 UC Berkeley


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Sebastien M. R. Arnold grad student USC
Soravit Changpinyo grad student USC
Wei-Lun Chao grad student USC
Boqing Gong grad student USC
Hexiang Hu grad student USC
Shariq Iqbal grad student USC
Michiel de Jong grad student USC
Zhiyun Lu grad student USC
Yury Zemlyanskiy grad student USC
Bowen Zhang grad student USC
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Hu H, Sener O, Sha F, et al. (2022) Drinking from a Firehose: Continual Learning with Web-scale Natural Language. Ieee Transactions On Pattern Analysis and Machine Intelligence
Rawat RR, Ortega I, Roy P, et al. (2020) Deep learned tissue "fingerprints" classify breast cancers by ER/PR/Her2 status from H&E images. Scientific Reports. 10: 7275
May A, Garakani AB, Lu Z, et al. (2019) Kernel Approximation Methods for Speech Recognition Journal of Machine Learning Research. 20: 1-36
Changpinyo S, Chao W, Gong B, et al. (2019) Classifier and Exemplar Synthesis for Zero-Shot Learning International Journal of Computer Vision. 128: 166-201
Potthast C, Breitenmoser A, Sha F, et al. (2016) Active multi-view object recognition: A unifying view on online feature selection and view planning Robotics and Autonomous Systems. 84: 31-47
Liu K, Bellet A, Sha F. (2015) Similarity learning for high-dimensional sparse data Journal of Machine Learning Research. 38: 653-662
Chen M, Weinberger KQ, Xu Z, et al. (2015) Marginalizing Stacked linear denoising autoencoders Journal of Machine Learning Research. 16: 3849-3875
Gong B, Grauman K, Sha F. (2014) Learning kernels for unsupervised domain adaptation with applications to visual object recognition International Journal of Computer Vision. 109: 3-27
Chen M, Weinberger K, Sha F, et al. (2014) Marginalized denoising auto-encoders for nonlinear representations 31st International Conference On Machine Learning, Icml 2014. 4: 3342-3350
Wang J, Sun K, Sha F, et al. (2014) Two-stage metric learning 31st International Conference On Machine Learning, Icml 2014. 2: 1683-1692
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