Lei Shi
Affiliations: | University of California, Berkeley, Berkeley, CA, United States |
Area:
Computational neuroscience/ Visual systemGoogle:
"Lei Shi"Mean distance: 13.74 (cluster 29) | S | N | B | C | P |
Cross-listing: Computational Biology Tree
Parents
Sign in to add mentorYang Dan | grad student | 2005- | UC Berkeley | |
Thomas L. Griffiths | grad student | 2009 | UC Berkeley | |
(Hierarchical Bayesian inference in the brain: Psychological models and neural implementation.) |
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Publications
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He F, Yang R, Shi L, et al. (2025) A Decentralized Framework for Kernel PCA With Projection Consensus Constraints. Ieee Transactions On Pattern Analysis and Machine Intelligence |
He M, He F, Shi L, et al. (2023) Learning with Asymmetric Kernels: Least Squares and Feature Interpretation. Ieee Transactions On Pattern Analysis and Machine Intelligence |
He F, He M, Shi L, et al. (2022) Global Search and Analysis for the Nonconvex Two-Level l Penalty. Ieee Transactions On Neural Networks and Learning Systems |
Liu F, Huang X, Shi L, et al. (2019) A Double-Variational Bayesian Framework in Random Fourier Features for Indefinite Kernels. Ieee Transactions On Neural Networks and Learning Systems |
Shi L, Chen H, Zhang SY, et al. (2017) Semi-synthesis of murine prion protein by native chemical ligation and chemical activation for preparation of polypeptide-α-thioester. Journal of Peptide Science : An Official Publication of the European Peptide Society |
Huang X, Shi L, Suykens JA. (2016) Solution Path for Pin-SVM Classifiers With Positive and Negative τ Values. Ieee Transactions On Neural Networks and Learning Systems |
Huang X, Shi L, Suykens JA. (2015) Support Vector Machine Classifier With Pinball Loss. Ieee Transactions On Pattern Analysis and Machine Intelligence. 36: 984-97 |
Shi L, Griffiths TL, Feldman NH, et al. (2010) Exemplar models as a mechanism for performing Bayesian inference. Psychonomic Bulletin & Review. 17: 443-64 |
Yao H, Shi L, Han F, et al. (2007) Rapid learning in cortical coding of visual scenes. Nature Neuroscience. 10: 772-8 |