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AI 2021: Advances in Artificial Intelligence : 34th Australasian Joint Conference, AI 2021, Sydney, NSW, Australia, February 2-4, 2022, Proceedings

2022

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Task Sensitive Feature Exploration and Learning for Multitask Graph Classification

IEEE transactions on cybernetics, 2017-03, Vol.47 (3), p.744-758

2017

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Supervised Learning for Suicidal Ideation Detection in Online User Content

Complexity (New York, N.Y.), 2018-01, Vol.2018 (2018), p.1-10

2018

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Diagnosis Code Assignment Using Sparsity-Based Disease Correlation Embedding

IEEE transactions on knowledge and data engineering, 2016-12, Vol.28 (12), p.3191-3202

2016

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Collective Hyping Detection System for Identifying Online Spam Activities

IEEE intelligent systems, 2017-09, Vol.32 (5), p.53-63

2017

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Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion

Proceedings of the Web Conference 2021, 2021, p.1737-1748

2021

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Measuring Time-Sensitive and Topic-Specific Influence in Social Networks With LSTM and Self-Attention

IEEE access, 2020, Vol.8, p.82481-82492

2020

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A Comprehensive Survey on Graph Neural Networks

IEEE transaction on neural networks and learning systems, 2021-01, Vol.32 (1), p.4-24

2021

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DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2018-04, Vol.32 (1)

2018

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Advanced Data Mining and Applications: 17th International Conference, ADMA 2021, Sydney, NSW, Australia, February 2-4, 2022, Proceedings, Part II

1, 2022

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Advanced Data Mining and Applications: 17th International Conference, ADMA 2021, Sydney, NSW, Australia, February 2-4, 2022, Proceedings, Part I

1, 2022

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Federated Learning for Open Banking

Federated Learning, p.240-254

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Salient Subsequence Learning for Time Series Clustering

IEEE transactions on pattern analysis and machine intelligence, 2019-09, Vol.41 (9), p.2193-2207

2019

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UbiMeta: A Ubiquitous Operating System Model for Metaverse

International journal of crowd science, 2023-12, Vol.7 (4), p.180-189

2023

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FedGE: Break the scalability limitation of Graph Neural Network with Federated Graph Embedding

IEEE transactions on big data, 2024, p.1-11

2024

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Learning Graph Embedding With Adversarial Training Methods

IEEE transactions on cybernetics, 2020-06, Vol.50 (6), p.2475-2487

2020

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Multi-center federated learning: clients clustering for better personalization

World wide web (Bussum), 2023, Vol.26 (1), p.481-500

2023

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Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy

IEEE transactions on knowledge and data engineering, 2022-05, Vol.34 (5), p.2293-2305

2022

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Deep neighbor-aware embedding for node clustering in attributed graphs

Pattern recognition, 2022-02, Vol.122, p.108230, Article 108230

2022

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Beyond Low-Pass Filtering: Graph Convolutional Networks With Automatic Filtering

IEEE transactions on knowledge and data engineering, 2023-07, Vol.35 (7), p.6687-6697

2023

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Dyformer: A dynamic transformer-based architecture for multivariate time series classification

Information sciences, 2024-01, Vol.656, p.119881, Article 119881

2024

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TraverseNet: Unifying Space and Time in Message Passing for Traffic Forecasting

IEEE transaction on neural networks and learning systems, 2024-02, Vol.35 (2), p.2003-2013

2024

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Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications

IEEE transactions on computational social systems, 2021-02, Vol.8 (1), p.214-226

2021

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Positive Unlabeled Learning by Sample Selection and Prototype Refinement

Advanced Data Mining and Applications, p.304-318

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Structural response monitoring of concrete beam under flexural loading using smart carbon black/cement-based sensors

Smart materials and structures, 2020-06, Vol.29 (6), p.65001

2020

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AI 2021: Advances in Artificial Intelligence : 34th Australasian Joint Conference, AI 2021, Sydney, NSW, Australia, February 2-4, 2022, Proceedings

Task Sensitive Feature Exploration and Learning for Multitask Graph Classification

Supervised Learning for Suicidal Ideation Detection in Online User Content

Diagnosis Code Assignment Using Sparsity-Based Disease Correlation Embedding

Collective Hyping Detection System for Identifying Online Spam Activities

Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion

Measuring Time-Sensitive and Topic-Specific Influence in Social Networks With LSTM and Self-Attention

A Comprehensive Survey on Graph Neural Networks

DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding

Advanced Data Mining and Applications: 17th International Conference, ADMA 2021, Sydney, NSW, Australia, February 2-4, 2022, Proceedings, Part II

Advanced Data Mining and Applications: 17th International Conference, ADMA 2021, Sydney, NSW, Australia, February 2-4, 2022, Proceedings, Part I

Federated Learning for Open Banking

Salient Subsequence Learning for Time Series Clustering

UbiMeta: A Ubiquitous Operating System Model for Metaverse

FedGE: Break the scalability limitation of Graph Neural Network with Federated Graph Embedding

Learning Graph Embedding With Adversarial Training Methods

Multi-center federated learning: clients clustering for better personalization

Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy

Deep neighbor-aware embedding for node clustering in attributed graphs

Beyond Low-Pass Filtering: Graph Convolutional Networks With Automatic Filtering

Dyformer: A dynamic transformer-based architecture for multivariate time series classification

TraverseNet: Unifying Space and Time in Message Passing for Traffic Forecasting

Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications

Positive Unlabeled Learning by Sample Selection and Prototype Refinement

Structural response monitoring of concrete beam under flexural loading using smart carbon black/cement-based sensors

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