# Shujian Yu

According to our database1, Shujian Yu authored at least 53 papers between 2014 and 2020.

Collaborative distances:

Book
In proceedings
Article
PhD thesis
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## Bibliography

2020
Multiview Hybrid Embedding: A Divide-and-Conquer Approach.
IEEE Trans. Cybern., 2020

Multivariate Extension of Matrix-Based Rényi's $\alpha$α-Order Entropy Functional.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

On Kernel Method-Based Connectionist Models and Supervised Deep Learning Without Backpropagation.
Neural Comput., 2020

Coarse-to-fine salient object detection with low-rank matrix recovery.
Neurocomputing, 2020

Learning an Interpretable Graph Structure in Multi-Task Learning.
CoRR, 2020

Towards Interpretable Multi-Task Learning Using Bilevel Programming.
CoRR, 2020

Mutual Information Matrix for Interpretable Fault Detection.
CoRR, 2020

PRI-VAE: Principle-of-Relevant-Information Variational Autoencoders.
CoRR, 2020

Modularizing Deep Learning via Pairwise Learning With Kernels.
CoRR, 2020

Online Meta-Forest for Regression Data Streams.
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

Composite Dynamic Texture Synthesis Using Hierarchical Linear Dynamical System.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Robust Visual Tracking Using Multi-Frame Multi-Feature Joint Modeling.
IEEE Trans. Circuits Syst. Video Technol., 2019

Understanding autoencoders with information theoretic concepts.
Neural Networks, 2019

Concept drift detection and adaptation with hierarchical hypothesis testing.
J. Frankl. Inst., 2019

Simple Stopping Criteria for Information Theoretic Feature Selection.
Entropy, 2019

Information Plane Analysis of Deep Neural Networks via Matrix-Based Renyi's Entropy and Tensor Kernels.
CoRR, 2019

Multiscale Principle of Relevant Information for Hyperspectral Image Classification.
CoRR, 2019

Closed-Loop Adaptation for Weakly-Supervised Semantic Segmentation.
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
Multi-view manifold learning with locality alignment.
Pattern Recognit., 2018

Co-regularized multiview nonnegative matrix factorization with correlation constraint for representation learning.
Multim. Tools Appl., 2018

Multivariate Extension of Matrix-based Renyi's α-order Entropy Functional.
CoRR, 2018

Coarse-to-Fine Salient Object Detection with Low-Rank Matrix Recovery.
CoRR, 2018

Multi-view Hybrid Embedding: A Divide-and-Conquer Approach.
CoRR, 2018

Understanding Convolutional Neural Network Training with Information Theory.
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
Concept Drift Detection and Adaptation with Hierarchical Hypothesis Testing.
CoRR, 2017

Marine Animal Classification with Correntropy Loss Based Multi-view Learning.
CoRR, 2017

Concept Drift Detection with Hierarchical Hypothesis Testing.
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
Kernel Learning for Dynamic Texture Synthesis.
IEEE Trans. Image Process., 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

Multiple adaptive kernel size KLMS for Beijing PM2.5 prediction.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Human Heart Rate Estimation Using Ordinary Cameras under Natural Movement.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Dynamic Texture Synthesis via Image Reconstruction.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Kernel normalized mixed-norm algorithm for system identification.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Generalized Kernel Normalized Mixed-Norm Algorithm: Analysis and Simulations.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Webcam-Based Visual Gaze Estimation Under Desktop Environment.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Robust Discriminative Nonnegative Patch Alignment for Occluded Face Recognition.
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
Robust weighted coarse-to-fine sparse tracking.
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

Global sparse partial least squares.
Proceedings of the Proceedings IEEE International Conference on Security, 2014

Gaussian latent variable models for variable selection.
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

Content-Adaptive Rain and Snow Removal Algorithms for Single Image.
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014