Standout Papers
Citation Impact
Citing Papers
Graph neural networks: A review of methods and applications
2020 Standout
State-of-the-art in artificial neural network applications: A survey
2018 Standout
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
2021 Standout
Partition level multiview subspace clustering
2019
SVM-DS fusion based soft fault detection and diagnosis in solar water heaters
2018 Standout
Learning from Multiple Outlooks
2010
DeepGCNs: Can GCNs Go As Deep As CNNs?
2019 Standout
Simplifying the representation of complex free-energy landscapes using sketch-map
2011
Computer Simulation of Liquids
2017 Standout
A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications
2018 Standout
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 Standout
Multi-View Representation Learning With Deep Gaussian Processes
2020
A Probabilistic Hierarchical Model for Multi-View and Multi-Feature Classification
2018
On Unifying Multi-view Self-Representations for Clustering by Tensor Multi-rank Minimization
2018 Standout
Semi-Supervised Broad Learning System Based on Manifold Regularization and Broad Network
2020 Standout
Semi-supervised Elastic net for pedestrian counting
2010
Local Coordinates Alignment With Global Preservation for Dimensionality Reduction
2012
Graph Regularized Non-Negative Low-Rank Matrix Factorization for Image Clustering
2016
Maximum Neighborhood Margin Discriminant Projection for Classification
2014 Standout
Multiview Spectral Clustering via Structured Low-Rank Matrix Factorization
2018
A UAV Detection Algorithm Based on an Artificial Neural Network
2018
Joint Tensor Feature Analysis For Visual Object Recognition
2014
Large-Scale Multi-View Subspace Clustering in Linear Time
2020 Standout
A Tucker Deep Computation Model for Mobile Multimedia Feature Learning
2017 Standout
Discriminant sparse neighborhood preserving embedding for face recognition
2012
Infrared and visible image fusion methods and applications: A survey
2018 Standout
Locally discriminative topic modeling
2011
Regularized Taylor Echo State Networks for Predictive Control of Partially Observed Systems
2016
Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey
2018 Standout
Cross-View Local Structure Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection
2019
Structured Manifold Broad Learning System: A Manifold Perspective for Large-Scale Chaotic Time Series Analysis and Prediction
2018
Robust Sparse Linear Discriminant Analysis
2018 Standout
Incomplete Multiview Spectral Clustering With Adaptive Graph Learning
2018 Standout
PLUMED 2: New feathers for an old bird
2013 Standout
A Survey of Sparse Representation: Algorithms and Applications
2015
Multi-graph fusion for multi-view spectral clustering
2019
Data-Driven Intelligent Transportation Systems: A Survey
2011 Standout
Learning from class-imbalanced data: Review of methods and applications
2016 Standout
Low-Rank 2-D Neighborhood Preserving Projection for Enhanced Robust Image Representation
2018
Locally linear embedding: a survey
2011
Feature selection with multi-view data: A survey
2018
Tensor Canonical Correlation Analysis for Multi-View Dimension Reduction
2015
Auto-Weighted Multi-View Learning for Image Clustering and Semi-Supervised Classification
2017
Predicting multicellular function through multi-layer tissue networks
2017
An Improved Ant Colony Optimization Algorithm Based on Hybrid Strategies for Scheduling Problem
2019 Standout
Graph Structure Fusion for Multiview Clustering
2018
Feature Selection Based on Dependency Margin
2014
A Unified Feature Selection Framework for Graph Embedding on High Dimensional Data
2014
Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial
2019 Standout
A survey of transfer learning
2016 Standout
Research on Key Technologies of Smart Campus Teaching Platform Based on 5G Network
2019 Standout
Mixed-kernel based weighted extreme learning machine for inertial sensor based human activity recognition with imbalanced dataset
2016
Works of Chenping Hou being referenced
Robust auto-weighted multi-view subspace clustering with common subspace representation matrix
2017
Scalable Multi-View Semi-Supervised Classification via Adaptive Regression
2017
An Adaptive Approach to Learning Optimal Neighborhood Kernels
2012
Unsupervised Single and Multiple Views Feature Extraction with Structured Graph
2017
Discriminative Embedded Clustering: A Framework for Grouping High-Dimensional Data
2014
Multi-View Unsupervised Feature Selection with Adaptive Similarity and View Weight
2017
Joint Embedding Learning and Sparse Regression: A Framework for Unsupervised Feature Selection
2013 Standout
Relaxed maximum-variance unfolding
2008
Semi-Supervised Feature Selection via Insensitive Sparse Regression with Application to Video Semantic Recognition
2018
Reliable Multi-View Clustering
2018
Multiple rank multi-linear SVM for matrix data classification
2013
Multiple view semi-supervised dimensionality reduction
2009
Stable local dimensionality reduction approaches
2008
Effective Discriminative Feature Selection With Nontrivial Solution
2015
Local linear transformation embedding
2009