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Shujian Yu, PhD

Affiliations: 
2013-2019 ECE University of Florida, Gainesville, Gainesville, FL, United States 
 2019- NEC Laboratories Europe GmbH 
Website:
https://www.linkedin.com/in/shujian-yu-7498b3104/?originalSubdomain=de
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"Shujian Yu"
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Jose Carlos Principe grad student

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Wickstrøm KK, Løkse S, Kampffmeyer MC, et al. (2023) Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy. Entropy (Basel, Switzerland). 25
Duan S, Yu S, Principe JC. (2021) Modularizing Deep Learning via Pairwise Learning With Kernels. Ieee Transactions On Neural Networks and Learning Systems
Yu S, Wickstrom K, Jenssen R, et al. (2020) Understanding Convolutional Neural Networks With Information Theory: An Initial Exploration. Ieee Transactions On Neural Networks and Learning Systems
Zheng Q, Yu S, You X. (2020) Coarse-to-Fine Salient Object Detection with Low-Rank Matrix Recovery Neurocomputing. 376: 232-243
Yu S, Príncipe JC. (2019) Simple Stopping Criteria for Information Theoretic Feature Selection. Entropy (Basel, Switzerland). 21
Duan S, Yu S, Chen Y, et al. (2019) On Kernel Method-Based Connectionist Models and Supervised Deep Learning without Backpropagation. Neural Computation. 1-39
Yu S, Sanchez Giraldo LG, Jenssen R, et al. (2019) Multivariate Extension of Matrix-based Renyi's α-order Entropy Functional. Ieee Transactions On Pattern Analysis and Machine Intelligence
Yu S, Príncipe JC. (2019) Understanding autoencoders with information theoretic concepts. Neural Networks : the Official Journal of the International Neural Network Society. 117: 104-123
Xu J, Yu S, You X, et al. (2019) Multiview Hybrid Embedding: A Divide-and-Conquer Approach. Ieee Transactions On Cybernetics
Yu S, Príncipe J. (2019) Simple Stopping Criteria for Information Theoretic Feature Selection Entropy. 21: 99
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