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Shujian Yu
Shujian Yu
Vrije Universiteit Amsterdam; UiT - The Arctic University of Norway; U. of Florida (former)
Zweryfikowany adres z vu.nl - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Understanding autoencoders with information theoretic concepts
S Yu, JC Principe
Neural Networks 117, 104-123, 2019
1692019
Understanding Convolutional Neural Networks with Information Theory: An Initial Exploration
S Yu, K Wickstrøm, R Jenssen, JC Principe
IEEE Transactions on Neural Networks and Learning Systems, 2020
111*2020
Multivariate Extension of Matrix-based Renyi's α-order Entropy Functional
S Yu, LGS Giraldo, R Jenssen, JC Principe
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
1102019
Multi-view manifold learning with locality alignment
Y Zhao, X You, S Yu, C Xu, W Yuan, XY Jing, T Zhang, D Tao
Pattern Recognition 78, 154-166, 2018
892018
Concept drift detection with hierarchical hypothesis testing
S Yu, Z Abraham
Proceedings of the 2017 SIAM International Conference on Data Mining, 768-776, 2017
762017
Concept drift detection and adaptation with hierarchical hypothesis testing
S Yu, Z Abraham, H Wang, M Shah, Y Wei, JC Príncipe
Journal of the Franklin Institute 356 (5), 3187-3215, 2019
662019
Improved functional link artificial neural network via convex combination for nonlinear active noise control
H Zhao, X Zeng, Z He, S Yu, B Chen
Applied Soft Computing 42, 351-359, 2016
642016
Multi-view non-negative matrix factorization by patch alignment framework with view consistency
W Ou, S Yu, G Li, J Lu, K Zhang, G Xie
Neurocomputing 204, 116-124, 2016
622016
Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels
S Yu, X Wang, JC Principe
Proceedings of the 27th International Joint Conference on Artificial …, 2018
582018
Causal Recurrent Variational Autoencoder for Medical Time Series Generation
H Li, S Yu, J Principe
AAAI-23, 2023
512023
Kernel learning for dynamic texture synthesis
X You, W Guo, S Yu, K Li, JC Príncipe, D Tao
IEEE Transactions on Image Processing 25 (10), 4782-4795, 2016
392016
Ci-gnn: A granger causality-inspired graph neural network for interpretable brain network-based psychiatric diagnosis
K Zheng, S Yu, B Chen
Neural Networks 172, 106147, 2024
362024
Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy
KK Wickstrøm, S Løkse, MC Kampffmeyer, S Yu, JC Príncipe, R Jenssen
Entropy 25 (6), 899, 2023
35*2023
Deep Deterministic Information Bottleneck with Matrix-Based Entropy Functional
X Yu, S Yu, JC Príncipe
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
342021
Measuring Dependence with Matrix-based Entropy Functional
S Yu, F Alesiani, X Yu, R Jenssen, JC Principe
Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI-21), 2021
322021
STFT-like time frequency representations of nonstationary signal with arbitrary sampling schemes
S Yu, X You, W Ou, X Jiang, K Zhao, Z Zhu, Y Mou, X Zhao
Neurocomputing 204, 211-221, 2016
312016
Co-regularized multiview nonnegative matrix factorization with correlation constraint for representation learning
W Ou, F Long, Y Tan, S Yu, P Wang
Multimedia Tools and Applications 77 (10), 12955-12978, 2018
292018
A new algorithm for shoreline extraction from satellite imagery with non-separable wavelet and level set method
S Yu, Y Mou, D Xu, X You, L Zhou, W Zeng
International Journal of Machine Learning and Computing 3 (1), 158, 2013
292013
Modularizing deep learning via pairwise learning with kernels
S Duan, S Yu, JC Príncipe
IEEE Transactions on Neural Networks and Learning Systems, 2021
282021
System and method for validating honest test taking
S Gleim, G. W., Caldwell, S. R., Mentz, J., Yu
US Patent 10,885,802, 2021
27*2021
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