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09/05/2023
Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs
Skin lesion segmentation is a fundamental task in dermoscopic image anal...
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07/27/2023
One-shot Joint Extraction, Registration and Segmentation of Neuroimaging Data
Brain extraction, registration and segmentation are indispensable prepro...
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05/11/2023
Deep Multi-View Subspace Clustering with Anchor Graph
Deep multi-view subspace clustering (DMVSC) has recently attracted incre...
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04/24/2023
Hierarchical State Abstraction Based on Structural Information Principles
State abstraction optimizes decision-making by ignoring irrelevant envir...
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04/18/2023
A Comparison of Image Denoising Methods
The advancement of imaging devices and countless images generated everyd...
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03/21/2023
Self-Paced Neutral Expression-Disentangled Learning for Facial Expression Recognition
The accuracy of facial expression recognition is typically affected by t...
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02/18/2023
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT
The Pretrained Foundation Models (PFMs) are regarded as the foundation f...
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12/06/2022
ERNet: Unsupervised Collective Extraction and Registration in Neuroimaging Data
Brain extraction and registration are important preprocessing steps in n...
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12/06/2022
ABN: Anti-Blur Neural Networks for Multi-Stage Deformable Image Registration
Deformable image registration, i.e., the task of aligning multiple image...
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11/13/2022
Normative Modeling via Conditional Variational Autoencoder and Adversarial Learning to Identify Brain Dysfunction in Alzheimer's Disease
Normative modeling is an emerging and promising approach to effectively ...
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10/13/2022
Variational Graph Generator for Multi-View Graph Clustering
Multi-view graph clustering (MGC) methods are increasingly being studied...
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10/09/2022
Deep Clustering: A Comprehensive Survey
Cluster analysis plays an indispensable role in machine learning and dat...
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09/23/2022
Tensor-Based Multi-Modality Feature Selection and Regression for Alzheimer's Disease Diagnosis
The assessment of Alzheimer's Disease (AD) and Mild Cognitive Impairment...
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06/30/2022
Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis
Human brains lie at the core of complex neurobiological systems, where t...
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06/09/2022
Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning
Brain networks characterize complex connectivities among brain regions a...
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05/08/2022
Deep Embedded Multi-View Clustering via Jointly Learning Latent Representations and Graphs
With the representation learning capability of the deep learning models,...
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04/27/2022
Interpretable Graph Convolutional Network of Multi-Modality Brain Imaging for Alzheimer's Disease Diagnosis
Identification of brain regions related to the specific neurological dis...
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03/18/2022
Deep Reinforcement Learning Guided Graph Neural Networks for Brain Network Analysis
Modern neuroimaging techniques, such as diffusion tensor imaging (DTI) a...
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03/17/2022
BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks
Mapping the connectome of the human brain using structural or functional...
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02/09/2022
Task Modifiers for HTN Planning and Acting
The ability of an agent to change its objectives in response to unexpect...
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02/08/2022
Deep learning for drug repurposing: methods, databases, and applications
Drug development is time-consuming and expensive. Repurposing existing d...
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11/21/2021
Structure-Preserving Graph Kernel for Brain Network Classification
This paper presents a novel graph-based kernel learning approach for con...
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10/12/2021
HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization
To capture the semantic graph structure from raw text, most existing sum...
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07/31/2021
Multiplex Graph Networks for Multimodal Brain Network Analysis
In this paper, we propose MGNet, a simple and effective multiplex graph ...
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07/11/2021
BrainNNExplainer: An Interpretable Graph Neural Network Framework for Brain Network based Disease Analysis
Interpretable brain network models for disease prediction are of great v...
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07/07/2021
Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis
Multimodal brain networks characterize complex connectivities among diff...
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06/21/2021
Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering
Multi-view clustering, a long-standing and important research problem, f...
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06/21/2021
Contrastive Multi-Modal Clustering
Multi-modal clustering, which explores complementary information from mu...
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05/22/2021
A Robust and Generalized Framework for Adversarial Graph Embedding
Graph embedding is essential for graph mining tasks. With the prevalence...
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05/07/2021
Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks
Graph representation learning has achieved great success in many areas, ...
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05/07/2021
Error-Robust Multi-View Clustering: Progress, Challenges and Opportunities
With recent advances in data collection from multiple sources, multi-vie...
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05/04/2021
Federated Multi-View Learning for Private Medical Data Integration and Analysis
Along with the rapid expansion of information technology and digitalizat...
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04/19/2021
Non-Linear Fusion for Self-Paced Multi-View Clustering
With the advance of the multi-media and multi-modal data, multi-view clu...
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04/16/2021
Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks
Graph neural networks (GNNs) have been widely used in deep learning on g...
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04/02/2021
Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks
Events are happening in real-world and real-time, which can be planned a...
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02/06/2021
FedMood:Federated Learning on Mobile Health Data for Mood Detection
Depression is one of the most common mental illness problems, and the sy...
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01/20/2021
SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism
Graph representation learning has attracted increasing research attentio...
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01/17/2021
Heterogeneous Similarity Graph Neural Network on Electronic Health Records
Mining Electronic Health Records (EHRs) becomes a promising topic becaus...
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12/10/2020
CommPOOL: An Interpretable Graph Pooling Framework for Hierarchical Graph Representation Learning
Recent years have witnessed the emergence and flourishing of hierarchica...
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11/06/2020
A Comprehensive Comparison of Multi-Dimensional Image Denoising Methods
Filtering multi-dimensional images such as color images, color videos, m...
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11/02/2020
Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation
Review rating prediction of text reviews is a rapidly growing technology...
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10/05/2020
Mixup-Transfomer: Dynamic Data Augmentation for NLP Tasks
Mixup is the latest data augmentation technique that linearly interpolat...
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09/26/2020
KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning
Generative commonsense reasoning which aims to empower machines to gener...
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08/30/2020
Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks
Name disambiguation aims to identify unique authors with the same name. ...
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08/12/2020
Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market
We present Luce, the first life-long predictive model for automated prop...
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08/09/2020
Adversarial Directed Graph Embedding
Node representation learning for directed graphs is critically important...
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08/02/2020
A Survey on Text Classification: From Shallow to Deep Learning
Text classification is the most fundamental and essential task in natura...
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10/17/2019
Not Just Cloud Privacy: Protecting Client Privacy in Teacher-Student Learning
Ensuring the privacy of sensitive data used to train modern machine lear...
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06/09/2019
Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification
CNNs, RNNs, GCNs, and CapsNets have shown significant insights in repres...
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11/03/2018
