Shujian Yu
Orcid: 0000-0002-6385-1705
According to our database1,
Shujian Yu
authored at least 102 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
CI-GNN: A Granger causality-inspired graph neural network for interpretable brain network-based psychiatric diagnosis.
Neural Networks, 2024
NeuroImage, 2024
Image Vis. Comput., 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
DIB-X: Formulating Explainability Principles for a Self-Explainable Model Through Information Theoretic Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
Coping with change: Learning invariant and minimum sufficient representations for fine-grained visual categorization.
Comput. Vis. Image Underst., December, 2023
A Componentwise Approach to Weakly Supervised Semantic Segmentation Using Dual-Feedback Network.
IEEE Trans. Neural Networks Learn. Syst., October, 2023
IEEE Trans. Knowl. Data Eng., September, 2023
IEEE Trans. Inf. Theory, July, 2023
Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy.
Entropy, June, 2023
Mach. Learn., April, 2023
Knowl. Inf. Syst., February, 2023
CoRR, 2023
The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making.
CoRR, 2023
Identification of Predictive Subnetwork for Brain Network-Based Psychiatric Diagnosis: An Information-Theoretic Perspective.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Revisiting the Robustness of the Minimum Error Entropy Criterion: A Transfer Learning Case Study.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
The Analysis of Deep Neural Networks by Information Theory: From Explainability to Generalization.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Entropy, December, 2022
IEEE Trans. Signal Process., 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
BrainIB: Interpretable Brain Network-based Psychiatric Diagnosis with Graph Information Bottleneck.
CoRR, 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Adversarial Training for the Adversarial Robustness of EEG-Based Brain-Computer Interfaces.
Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022
Proceedings of the Advances in Intelligent Data Analysis XX, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Understanding Convolutional Neural Networks With Information Theory: An Initial Exploration.
IEEE Trans. Neural Networks Learn. Syst., 2021
J. Frankl. Inst., 2021
CoRR, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Information-Theoretic Methods in Deep Neural Networks: Recent Advances and Emerging Opportunities.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
IEEE Trans. Pattern Anal. Mach. Intell., 2020
On Kernel Method-Based Connectionist Models and Supervised Deep Learning Without Backpropagation.
Neural Comput., 2020
Neurocomputing, 2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
IEEE Trans. Circuits Syst. Video Technol., 2019
Neural Networks, 2019
J. Frankl. Inst., 2019
Information Plane Analysis of Deep Neural Networks via Matrix-Based Renyi's Entropy and Tensor Kernels.
CoRR, 2019
CoRR, 2019
Data Encryption Transmission and Authentication Scheme Based on Blockchain Technology.
Proceedings of the Data Processing Techniques and Applications for Cyber-Physical Systems, 2019
2018
Co-regularized multiview nonnegative matrix factorization with correlation constraint for representation learning.
Multim. Tools Appl., 2018
CoRR, 2018
CoRR, 2018
Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Joint Image Segmentation and Classification with Application to Cluttered Coral Images.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018
2017
CoRR, 2017
CoRR, 2017
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017
Autoencoders trained with relevant information: Blending Shannon and Wiener's perspectives.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Robust linear discriminant analysis with a Laplacian assumption on projection distribution.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
2016
Dynamic texture modeling and synthesis using multi-kernel Gaussian process dynamic model.
Signal Process., 2016
STFT-like time frequency representations of nonstationary signal with arbitrary sampling schemes.
Neurocomputing, 2016
Multi-view non-negative matrix factorization by patch alignment framework with view consistency.
Neurocomputing, 2016
Improved functional link artificial neural network via convex combination for nonlinear active noise control.
Appl. Soft Comput., 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
2015
Proceedings of the 2015 IEEE International Conference on Systems, 2015
Proceedings of the 2015 IEEE International Conference on Systems, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
Single image rain streaks removal based on self-learning and structured sparse representation.
Proceedings of the IEEE China Summit and International Conference on Signal and Information Processing, 2015
2014
Proceedings of the Proceedings IEEE International Conference on Security, 2014
STFT-like time frequency representations for nonstationary signal - From evenly sampled data to arbitrary nonuniformly sampled data.
Proceedings of the Proceedings IEEE International Conference on Security, 2014
Proceedings of the Proceedings IEEE International Conference on Security, 2014
Proceedings of the Proceedings IEEE International Conference on Security, 2014
A general solution for multi-thread based multi-source compressed video surveillance system.
Proceedings of the Proceedings IEEE International Conference on Security, 2014
Data-Driven Bridge Detection in Compressed Domain from Panchromatic Satellite Imagery.
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014