We stand with Ukraine

We stand with Ukraine

Xiangzeng Kong

Orcid: 0000-0001-8492-1349

According to our database¹, Xiangzeng Kong authored at least 30 papers between 2011 and 2026.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

On csauthors.net:

Bibliography

2026

Beyond a single perspective: A multi-agent debate framework for affective computing.

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Pattern Recognit., 2026

MBDSTGAT: A Multibranch Dynamic Spatiotemporal Graph Attention Network With Topology Perturbation for Motor Imagery EEG Decoding.

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IEEE Internet Things J., 2026

Safe multi-agent reinforcement learning based on adversarial strategy and control barrier function feasible set.

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Neurocomputing, 2026

EEG-based multimodal emotion recognition framework with supervised contrastive learning and spatial-temporal convolutional attention network.

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Digit. Signal Process., 2026

A multi-scale statistical pooling neural network with channel attention for motor imagery brain-computer interface.

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Digit. Signal Process., 2026

2025

DistilCLIP-EEG: Enhancing Epileptic Seizure Detection Through Multi-modal Learning and Knowledge Distillation.

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CoRR, October, 2025

Prototype-Driven Multi-Scale Feature Alignment Network for Cross-Session EEG Motor Imagery Decoding.

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Proceedings of the 2025 6th International Symposium on Artificial Intelligence for Medical Sciences, 2025

LiteGate-SST: A Spectral-Spatial-Temporal Lightweight Network with Unified Gating for Cross-Subject EEG Attention Recognition.

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Proceedings of the 2025 6th International Symposium on Artificial Intelligence for Medical Sciences, 2025

2024

Sleep Stage Classification Via Multi-View Based Self-Supervised Contrastive Learning of EEG.

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IEEE J. Biomed. Health Informatics, December, 2024

A Lightweight and High-Precision Passion Fruit YOLO Detection Model for Deployment in Embedded Devices.

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Sensors, August, 2024

Motor Imagery EEG Signal Classification Using Distinctive Feature Fusion with Adaptive Structural LASSO.

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Sensors, June, 2024

Electroencephalography-Based Motor Imagery Classification Using Multi-Scale Feature Fusion and Adaptive Lasso.

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Big Data Cogn. Comput., 2024

Depression Detection with EEG Based on Mutual Information Regularization.

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Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2024

Sound-based Bee Colony State Analysis Using Compact MFCC Patterns.

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Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2024

Improved Motor Imagery Classification Using Elastic Net-based Feature Optimization and a Heterogeneous Ensemble Classifier.

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Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2024

Motor Imagery EEG Signals Decoding with Multi-view Weighted Features.

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Proceedings of the Applied Intelligence - Second International Conference, 2024

ParaBFT: An Efficient Parallel Asynchronous BFT Agreement.

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Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

EEG-based Epilepsy Detection Using Robust Feature Learning Model with Manhattan Distance and L1 Regularization.

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Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

SCNet: A spatial feature fused convolutional network for multi-channel EEG pathology detection.

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Biomed. Signal Process. Control., September, 2023

Privacy-Preserving-Enabled Lightweight COVID-19 Simulation Model for Mobile Intelligent Application.

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IEEE Internet Things J., 2023

2022

Automatic diagnostics of EEG pathology via capsule network with multi-level feature fusion.

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Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Automatic classification of EEG signals via deep learning.

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Proceedings of the 19th IEEE International Conference on Industrial Informatics, 2021

2020

Anomalies in continuous GPS data as precursors of 15 large earthquakes in Western North America during 2007-2016.

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Earth Sci. Informatics, 2020

Detecting anomalies in sequential data augmented with new features.

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Artif. Intell. Rev., 2020

2018

Relationship of Stress Changes and Anomalies in OLR Data of the Wenchuan and Lushan Earthquakes.

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IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

2015

Detecting Seismic Anomalies in Outgoing Long-Wave Radiation Data.

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IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

2014

Kernel learning method for distance-based classification of categorical data.

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Proceedings of the 14th UK Workshop on Computational Intelligence, 2014

2013

An Anomaly Analysis Method Based on Morphological Features.

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Proceedings of the IEEE International Conference on Systems, 2013

2012

A Geometric Moving Average Martingale method for detecting changes in data streams.

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Proceedings of the Research and Development in Intelligent Systems XXIX, 2012

2011

A Novel Robust Mesh Watermarking Based on BNBW.

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EURASIP J. Adv. Signal Process., 2011

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