Feng Xia

RMIT University

Australia

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Positions (1)

Feng Xia

University Name

RMIT University

24 years ago

Brain Computing

No summary provided for this position.

24 years ago

Articles (31)

mBGT: Encoding Brain Signals With Multimodal Brain Graph Transformer

Article Link

Year:

2025

CaGE: A Causality-inspired Graph Neural Network Explainer for Recommender Systems

Article Link

Year:

2025

Dual-View Anomaly Detection in Heterogeneous Information Networks with Hierarchical Neighborhood Fusion

Article Link

Year:

2025

Data-Efficient Psychiatric Disorder Detection via Self-supervised Learning on Frequency-enhanced Brain Networks

Article Link

Year:

2025

Entropy Causal Graphs for Multivariate Time Series Anomaly Detection

Article Link

Year:

2025

Path-Aware Few-Shot Knowledge Graph Completion

Article Link

Year:

2025

Multi-type social patterns-based graph learning

Article Link

Year:

2025

Joint Structural-Functional Brain Graph Transformer

Article Link

Year:

2025

Frequency is Devious: Deep Stealthy Backdoor in Artificial Intelligence-Based Consumer Internet of Things

Article Link

Year:

2025

Fusion-based graph neural networks for synergistic underwater image enhancement

Article Link

Year:

2025

Unsupervised Anomaly Detection on Attributed Networks With Graph Contrastive Learning for Consumer Electronics Security

Article Link

Year:

2024

Attributed Graph Force Learning

Article Link

Year:

2024

Heterogeneous Network Motif Coding, Counting, and Profiling

Article Link

Year:

2024

Multiple Instance Learning for Cheating Detection and Localization in Online Examinations

Article Link

Year:

2024

Z-Laplacian Matrix Factorization: Network Embedding With Interpretable Graph Signals

Article Link

Year:

2024

Multitask Data Collection With Limited Budget in Edge-Assisted Mobile Crowdsensing

Article Link

Year:

2024

Efficient Throughput Maximization in Dynamic Rechargeable Networks

Article Link

Year:

2024

From Electroencephalogram Data to Brain Networks: Graph-Learning-Based Brain Disease Diagnosis

Article Link

Year:

2024

PANDORA: Deep Graph Learning Based COVID-19 Infection Risk Level Forecasting

Article Link

Year:

2024

Efficiently Identifying Unknown COTS RFID Tags for Intelligent Transportation Systems

Article Link

Year:

2024

Coupled Attention Networks for Multivariate Time Series Anomaly Detection

Article Link

Year:

2024

Exploring Public Sentiment During COVID-19: A Cross Country Analysis

Article Link

Year:

2023

Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges

Article Link

Year:

2023

MIRROR: Mining Implicit Relationships via Structure-Enhanced Graph Convolutional Networks

Article Link

Year:

2023

TAP: Traffic Accident Profiling via Multi-Task Spatio-Temporal Graph Representation Learning

Article Link

Year:

2023

MSCET: A Multi-Scenario Offloading Schedule for Biomedical Data Processing and Analysis in Cloud-Edge-Terminal Collaborative Vehicular Networks

Article Link

Year:

2023

The Effect of Facial Perception and Academic Performance on Social Centrality

Article Link

Year:

2023

Spatio-temporal Graph Learning for Epidemic Prediction

Article Link

Year:

2023

Knowledge Graphs: Opportunities and Challenges

Article Link

Year:

2023

Deep Anomaly Analytics: Advancing the Frontier of Anomaly Detection

Article Link

Year:

2023

Graph Lifelong Learning: A Survey

Article Link

Year:

2023

Collaborators (7)

Mehdi Naseriparsa

Federation University

AUSTRALIA

Estrid He

Lecturer

RMIT University

AUSTRALIA

Hanghang Tong

University of Illinois at Urbana-Champaign

UNITED STATES

Vidya Saikrishna

Scholarly Teaching Fellow

Federation University

AUSTRALIA

Lianhua Chi

La Trobe University

AUSTRALIA

Guansong Pang

SINGAPORE

Ivan Lee

University of South Australia

AUSTRALIA

Feng Xia

Research Interests

Explore related searches

Contact this professor

Positions (1)

Brain Computing

Articles (31)

mBGT: Encoding Brain Signals With Multimodal Brain Graph Transformer

CaGE: A Causality-inspired Graph Neural Network Explainer for Recommender Systems

Dual-View Anomaly Detection in Heterogeneous Information Networks with Hierarchical Neighborhood Fusion

Data-Efficient Psychiatric Disorder Detection via Self-supervised Learning on Frequency-enhanced Brain Networks

Entropy Causal Graphs for Multivariate Time Series Anomaly Detection

Path-Aware Few-Shot Knowledge Graph Completion

Multi-type social patterns-based graph learning

Joint Structural-Functional Brain Graph Transformer

Frequency is Devious: Deep Stealthy Backdoor in Artificial Intelligence-Based Consumer Internet of Things

Fusion-based graph neural networks for synergistic underwater image enhancement

Unsupervised Anomaly Detection on Attributed Networks With Graph Contrastive Learning for Consumer Electronics Security

Attributed Graph Force Learning

Heterogeneous Network Motif Coding, Counting, and Profiling

Multiple Instance Learning for Cheating Detection and Localization in Online Examinations

Z-Laplacian Matrix Factorization: Network Embedding With Interpretable Graph Signals

Multitask Data Collection With Limited Budget in Edge-Assisted Mobile Crowdsensing

Efficient Throughput Maximization in Dynamic Rechargeable Networks

From Electroencephalogram Data to Brain Networks: Graph-Learning-Based Brain Disease Diagnosis

PANDORA: Deep Graph Learning Based COVID-19 Infection Risk Level Forecasting

Efficiently Identifying Unknown COTS RFID Tags for Intelligent Transportation Systems

Coupled Attention Networks for Multivariate Time Series Anomaly Detection

Exploring Public Sentiment During COVID-19: A Cross Country Analysis

Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges

MIRROR: Mining Implicit Relationships via Structure-Enhanced Graph Convolutional Networks

TAP: Traffic Accident Profiling via Multi-Task Spatio-Temporal Graph Representation Learning

MSCET: A Multi-Scenario Offloading Schedule for Biomedical Data Processing and Analysis in Cloud-Edge-Terminal Collaborative Vehicular Networks

The Effect of Facial Perception and Academic Performance on Social Centrality

Spatio-temporal Graph Learning for Epidemic Prediction

Knowledge Graphs: Opportunities and Challenges

Deep Anomaly Analytics: Advancing the Frontier of Anomaly Detection

Graph Lifelong Learning: A Survey

Collaborators (7)

Mehdi Naseriparsa

Estrid He

Hanghang Tong

Vidya Saikrishna

Lianhua Chi

Guansong Pang

Ivan Lee

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