Kevin Wang

University of Auckland

New Zealand

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Articles (28)

An unsupervised framework for drift-aware anomaly detection in streaming time series

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Year:

2025

Adversarial domain adaptation for cross-user activity recognition via noise diffusion model

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Year:

2025

Feature-Based Normality Models for Anomaly Detection

Article Link

Year:

2025

ADDAEIL: Anomaly Detection with Drift-Aware Ensemble-Based Incremental Learning

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Year:

2025

Decentralized Federated Graph Learning With Lightweight Zero Trust Architecture for Next-Generation Networking Security

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Year:

2025

A Scalable Unsupervised and Back Propagation Free Learning With SACSOM: A Novel Approach to SOM-Based Architectures

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Year:

2025

Supporting constrained devices and networks in the decentralised Internet of Things

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Year:

2025

An Integrated Hierarchical Wireless Acoustic Sensor Network and Optimized Deep Learning Model for Scalable Urban Sound and Environmental Monitoring

Article Link

Year:

2025

Acoustic-Based Industrial Diagnostics: A Scalable Noise-Robust Multiclass Framework for Anomaly Detection

Article Link

Year:

2025

Personalized Federated Learning With Model-Contrastive Learning for Multi-Modal User Modeling in Human-Centric Metaverse

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Year:

2024

Environmental noise monitoring using distributed hierarchical wireless acoustic sensor network

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Year:

2024

Deep generative domain adaptation with temporal relation attention mechanism for cross-user activity recognition

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Year:

2024

Decentralised Global Service Discovery for the Internet of Things

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Year:

2024

Adaptive Segmentation Enhanced Asynchronous Federated Learning for Sustainable Intelligent Transportation Systems

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Year:

2024

Multi-Task Correlation Constrained Topological Learning Toward Smart Prognostic and Health Management in IoT

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Year:

2024

Reconstructed Graph Neural Network With Knowledge Distillation for Lightweight Anomaly Detection

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Year:

2024

Human Behavior Recognition via Hierarchical Patches Descriptor and Approximate Locality-Constrained Linear Coding

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Year:

2023

Critical indoor environmental factors affecting productivity: perspectives from university staff and postgraduate students

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Year:

2023

Effects of climate change on health and wellbeing: A systematic review

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Year:

2023

Graph Attention Network With Spatial-Temporal Clustering for Traffic Flow Forecasting in Intelligent Transportation System

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Year:

2023

Bi-Dueling DQN Enhanced Two-Stage Scheduling for Augmented Surveillance in Smart EMS

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Year:

2023

Intelligent Containment Control With Double Constraints for Cloud-Based Collaborative Manufacturing

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Year:

2023

Long range wide area network for agricultural wireless underground sensor networks

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Year:

2023

Effects of indoor environment factors on productivity of university workplaces: A structural equation model

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Year:

2023

Edge-Enabled Two-Stage Scheduling Based on Deep Reinforcement Learning for Internet of Everything

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Year:

2023

Extended Morlet Wavelet-Based FIR Phasor Estimation Using Fake Samples

Article Link

Year:

2023

Digital Twin Enhanced Federated Reinforcement Learning with Lightweight Knowledge Distillation in Mobile Networks

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Year:

2023

Information Theoretic Learning-Enhanced Dual-Generative Adversarial Networks With Causal Representation for Robust OOD Generalization

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Year:

2023

Collaborators (11)

Andreas W. Kempa-Liehr

University of Auckland

NEW ZEALAND

Gwanggil Jeon

Incheon National University

SOUTH KOREA

Zheng Yan

Aalto University

FINLAND

Shohei SHIMIZU

Shiga University

JAPAN

Nirmal Nair

University of Auckland

NEW ZEALAND

Qun Jin

Waseda University

JAPAN

Kim N. Dirks

University of Auckland

NEW ZEALAND

Zoran Salcic

Professor

University of Auckland

NEW ZEALAND

Ryan Kurte

Professional Teaching Fellow

University of Auckland

NEW ZEALAND

Bo Peng

Graduate Teaching Assistant

University of Auckland

NEW ZEALAND

Waleed Abdulla

Associate Professor

University of Auckland

NEW ZEALAND

Kevin Wang

Research Interests

Explore related searches

Contact this professor

Articles (28)

An unsupervised framework for drift-aware anomaly detection in streaming time series

Adversarial domain adaptation for cross-user activity recognition via noise diffusion model

Feature-Based Normality Models for Anomaly Detection

ADDAEIL: Anomaly Detection with Drift-Aware Ensemble-Based Incremental Learning

Decentralized Federated Graph Learning With Lightweight Zero Trust Architecture for Next-Generation Networking Security

A Scalable Unsupervised and Back Propagation Free Learning With SACSOM: A Novel Approach to SOM-Based Architectures

Supporting constrained devices and networks in the decentralised Internet of Things

An Integrated Hierarchical Wireless Acoustic Sensor Network and Optimized Deep Learning Model for Scalable Urban Sound and Environmental Monitoring

Acoustic-Based Industrial Diagnostics: A Scalable Noise-Robust Multiclass Framework for Anomaly Detection

Personalized Federated Learning With Model-Contrastive Learning for Multi-Modal User Modeling in Human-Centric Metaverse

Environmental noise monitoring using distributed hierarchical wireless acoustic sensor network

Deep generative domain adaptation with temporal relation attention mechanism for cross-user activity recognition

Decentralised Global Service Discovery for the Internet of Things

Adaptive Segmentation Enhanced Asynchronous Federated Learning for Sustainable Intelligent Transportation Systems

Multi-Task Correlation Constrained Topological Learning Toward Smart Prognostic and Health Management in IoT

Reconstructed Graph Neural Network With Knowledge Distillation for Lightweight Anomaly Detection

Human Behavior Recognition via Hierarchical Patches Descriptor and Approximate Locality-Constrained Linear Coding

Critical indoor environmental factors affecting productivity: perspectives from university staff and postgraduate students

Effects of climate change on health and wellbeing: A systematic review

Graph Attention Network With Spatial-Temporal Clustering for Traffic Flow Forecasting in Intelligent Transportation System

Bi-Dueling DQN Enhanced Two-Stage Scheduling for Augmented Surveillance in Smart EMS

Intelligent Containment Control With Double Constraints for Cloud-Based Collaborative Manufacturing

Long range wide area network for agricultural wireless underground sensor networks

Effects of indoor environment factors on productivity of university workplaces: A structural equation model

Edge-Enabled Two-Stage Scheduling Based on Deep Reinforcement Learning for Internet of Everything

Extended Morlet Wavelet-Based FIR Phasor Estimation Using Fake Samples

Digital Twin Enhanced Federated Reinforcement Learning with Lightweight Knowledge Distillation in Mobile Networks

Information Theoretic Learning-Enhanced Dual-Generative Adversarial Networks With Causal Representation for Robust OOD Generalization

Collaborators (11)

Andreas W. Kempa-Liehr

Gwanggil Jeon

Zheng Yan

Shohei SHIMIZU

Nirmal Nair

Qun Jin

Kim N. Dirks

Zoran Salcic

Ryan Kurte

Bo Peng

Waleed Abdulla

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