Xiaohan Zheng

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026
KnowFlow: Empowering decision-making on networks with knowledge-streamlined agent.
Neural Networks, 2026

2025
Radio Frequency Fingerprint Identification of GMSK Modulated Signals Based on Eye Diagram Traces Deviation.
IEEE Trans. Veh. Technol., July, 2025

Contrastive prototype loss based discriminative feature network for few-shot learning.
Appl. Intell., April, 2025

A robust semi-supervised regressor with correntropy-induced manifold regularization and adaptive graph.
Neural Networks, 2025

FMFI: Transformer based four branches multi-granularity feature integration for person Re-ID.
Expert Syst. Appl., 2025

A cell-interacting and multi-correcting method for automatic circulating tumor cells detection.
Artif. Intell. Medicine, 2025

A Robust Voltage-Based Intrusion Detection System for In-Vehicle Network.
Proceedings of the 101st IEEE Vehicular Technology Conference, 2025

Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

VSSIDS: A Novel Intrusion Detection Scheme Based on Signal Stretching for In-Vehicle Networks.
Proceedings of the 2025 IEEE Global Communications Conference, 2025

2024
Semi-supervised regression with label-guided adaptive graph optimization.
Appl. Intell., November, 2024

Deep feature network with multi-scale fusion for highly congested crowd counting.
Int. J. Mach. Learn. Cybern., March, 2024

Local dual-graph discriminant classifier for binary classification.
Neurocomputing, 2024

2023
Adaptive High Coherence Temporal Subsets SBAS-InSAR in Tropical Peatlands Degradation Monitoring.
Remote. Sens., September, 2023

Discriminant space metric network for few-shot image classification.
Appl. Intell., July, 2023

L1-norm Laplacian support vector machine for data reduction in semi-supervised learning.
Neural Comput. Appl., June, 2023

DDFormer: A Dual-Domain Transformer for Building Damage Detection Using High-Resolution SAR Imagery.
IEEE Geosci. Remote. Sens. Lett., 2023

Few-Shot Learning via Task-Aware Discriminant Local Descriptors Network.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Sparse discriminant twin support vector machine for binary classification.
Neural Comput. Appl., 2022

Deeper multi-column dilated convolutional network for congested crowd understanding.
Neural Comput. Appl., 2022

Radio Frequency Fingerprint Identification Based on Logarithmic Power Cosine Spectrum.
IEEE Access, 2022

Sparse Support Vector Machine with Fisher-Regularizer for Data Reduction.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
CTSVM: A robust twin support vector machine with correntropy-induced loss function for binary classification problems.
Inf. Sci., 2021

Fast Gaussian kernel support vector machine recursive feature elimination algorithm.
Appl. Intell., 2021

Sample Reduction Using ℓ <sub>1</sub>-Norm Twin Bounded Support Vector Machine.
Proceedings of the Neural Computing for Advanced Applications, 2021

2020
Semi-supervised Feature Selection Using Sparse Laplacian Support Vector Machine.
Proceedings of the Neural Computing for Advanced Applications, 2020

Feature Selection Using Sparse Twin Support Vector Machine with Correntropy-Induced Loss.
Proceedings of the Knowledge Science, Engineering and Management, 2020

Feature Selection Using Sparse Twin Bounded Support Vector Machine.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Data Reduction for Noisy Data Classification Using Semi-supervised Manifold-Preserving Graph Reduction.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019
Automatic textual Knowledge Extraction based on Paragraph Constitutive Relations.
Proceedings of the 6th International Conference on Systems and Informatics, 2019

2006
Computational model of response maps in the dorsal cochlear nucleus.
Biol. Cybern., 2006


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