Author

Huiyao Dong

Observed names: H. B. Dong, H.-B. Dong

Institution: King Fahd University of Petroleum and Minerals

Observed institutions: Russian Academy of Sciences, King Fahd University of Petroleum and Minerals, ITMO University, Chinese Academy of Sciences, Peking University, State Key Joint Laboratory of Environment Simulation and Pollution Control, Institute of Atmospheric Physics, University of Chinese Academy of Sciences, St. Petersburg Research Center of the Russian Academy of Sciences, State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry

ORCID: 0009-0008-7371-4908

Observed ORCID: 0009-0008-7371-4908

OpenAlex ID: A5087807126

Aerosol composition, sources and processes during wintertime in Beijing, China

2013 · Y. L. Sun, Z. F. Wang, et al. · Atmospheric chemistry and physics · 582

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Technical Note: The application of an improved gas and aerosol collector for ambient air pollutants in China

2012 · H.-B. Dong, L.-M. Zeng, et al. · Atmospheric chemistry and physics · 104

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Correlation of black carbon aerosol and carbon monoxide in the high-altitude environment of Mt. Huang in Eastern China

2011 · X. L. Pan, Y. Kanaya, et al. · Atmospheric chemistry and physics · 95

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Cybersecurity in the AI era: analyzing the impact of machine learning on intrusion detection

2025 · Huiyao Dong, Igor Kotenko · Knowledge and Information Systems · 52

Aerosol composition, sources and processes during wintertime in Beijing, China

2013 · Y. L. Sun, Z. F. Wang, et al. · Atmospheric Chemistry and Physics Discussions · 33

Image-based malware analysis for enhanced IoT security in smart cities

2024 · Huiyao Dong, Igor Kotenko · Internet of Things · 15

Multi-task learning for IoT traffic classification: A comparative analysis of deep autoencoders

2024 · Huiyao Dong, Igor Kotenko · Future Generation Computer Systems · 15

An Autoencoder-based Multi-task Learning for Intrusion Detection in IoT Networks

2023 · Huiyao Dong, Igor Kotenko · Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT) · 9

Next-generation IIoT security: Comprehensive comparative analysis of CNN-based approaches

2025 · Huiyao Dong, Igor Kotenko, et al. · Knowledge-Based Systems · 8

Enhancing Security in EV Charging Systems: A Hybrid Detection and Mitigation Approach

2024 · Huiyao Dong, Igor Kotenko · IEEE International Conference on Cloud Computing Technology and Science · 8

Convolutional Variational Autoencoders and Resampling Techniques with Generative Adversarial Network for Enhancing Internet of Thing Security

2024 · Huiyao Dong, I. V. Kotenko · Pattern Recognition and Image Analysis · 7

Hybrid Multi-Task Deep Learning for Improved IoT Network Intrusion Detection: Exploring Different CNN Structures

2024 · Huiyao Dong, Igor Kotenko · International Conference on Communication Systems & Networks (COMSNETS) · 6

A lightweight vision transformer with weighted global average pooling: implications for IoMT applications

2025 · Huiyao Dong, Igor Kotenko, et al. · Complex & Intelligent Systems · 5

Enhancing Malware Detection Resilience: A U-Net GAN Denoising Framework for Image-Based Classification

2025 · Huiyao Dong, Igor Kotenko · Computers, materials & continua/Computers, materials & continua (Print) · 5

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Image analysis approach based on VAE-GAN for IoT malware detection in urban environments

2025 · Huiyao Dong, Igor Kotenko · Innovations in Systems and Software Engineering · 4

Convolutional-free Malware Image Classification using Self-attention Mechanisms

2024 · Huiyao Dong · Informatics and Automation · 4

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VAE-GAN for Robust IoT Malware Detection and Classification in Intelligent Urban Environments: An Image Analysis Approach

2024 · Huiyao Dong, Igor Kotenko · Lecture notes in computer science · 3

Intrusion Detection with Uncertainty Based Loss Optimized Multi-Task Learning

2023 · Huiyao Dong, Igor V. Kotenko · Seminar on Information Systems Theory and Practice (ISTP) · 3

Is Attention All Security Domain Needs? A Systematic Review of Self-attention Mechanism in Cybersecurity

2025 · Huiyao Dong · IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) · 2

Enhancing IoT Security with Ensemble Deep Learning: A Lightweight, Robust Approach to Intrusion Detection

2025 · Huiyao Dong, Igor Kotenko · Studies in computational intelligence · 2

Autoencoder-based Malware Analysis: An Imagery Analysis Approach to Enhance the Security of Smart City IoT

2023 · Huiyao Dong, Igor Kotenko · International Symposium on Computing and Artificial Intelligence (ISCAI) · 2

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A lightweight and robust approach to IoT intrusion detection based on ensemble deep learning

2026 · Huiyao Dong, Igor Kotenko · International Journal of Parallel Emergent and Distributed Systems · 1

Towards Ultra-Low Latency: Binarized Neural Network Architectures for in-Vehicle Network Intrusion Detection

2025 · Huiyao Dong, Igor Kotenko · International Conference on Innovations in Intelligent Systems and Applications (INISTA) · 1

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Train Without Label: A Self-supervised One-Class Classification Approach for IoT Anomaly Detection

2023 · Huiyao Dong, Igor Kotenko · Lecture notes in networks and systems · 1

Flexible Multi-Task Learning Framework for IoT Network Intrusion Detection: Soft Parameter Sharing and Adaptive Resampling

2026 · Huiyao Dong, Igor Kotenko · Future Generation Computer Systems

Works count: 31

Citation count: 967

H-index: 8

I10-index: 7