Xieping Gao

Orcid: 0000-0002-7764-3616

Affiliations:
  • Hunan Normal University, Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Changsha, China
  • Xiangtan University, College of Software and Communication Engineering, China
  • Hunan University, Changsha, China (PhD 2003)


According to our database1, Xieping Gao authored at least 113 papers between 2004 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Dynamic De-Redundancy and Modality-Guided Feature De-Noisy for Multimodal Recommendation.
ACM Trans. Multim. Comput. Commun. Appl., May, 2026

Two-Stage Clustering and Independent Competing-Based Evolutionary Algorithm for Multimodal Multiobjective Optimization.
IEEE Trans. Evol. Comput., April, 2026

Focus-to-Perceive Representation Learning: A Cognition-Inspired Hierarchical Framework for Endoscopic Video Analysis.
CoRR, March, 2026

UA-YOLO: An uncertainty-aware network for robust UAV detection.
Pattern Recognit. Lett., 2026

Improving mutation pathogenicity prediction of metal-binding sites in proteins with a panoramic attention mechanism.
Pattern Recognit., 2026

Dual-perspective decoupling network for kidney tumor segmentation on CT images.
Neural Networks, 2026

An effective retraining strategy for unsupervised domain adaptive medical image segmentation.
Expert Syst. Appl., 2026

Whole slide image redundancy reduction for efficient pathological diagnosis.
Biomed. Signal Process. Control., 2026

SSR-SAM: Retrieval-Style Segment Anything Model for Semi-Supervised Ultra-High-Resolution Image Segmentation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Supervised Fine Tuning of Large Language Models for Domain Specific Knowledge Graph Construction:A Case Study on Hunan's Historical Celebrities.
CoRR, November, 2025

DiffCL: A Diffusion-Based Contrastive Learning Framework With Semantic Alignment for Multimodal Recommendations.
IEEE Trans. Neural Networks Learn. Syst., October, 2025

LPIC: Learnable Prompts and ID-guided Contrastive Learning for Multimodal Recommendation.
ACM Trans. Multim. Comput. Commun. Appl., September, 2025

Data-Based Model-Free Predictive Control System Under the Design Philosophy of MPC and Zeroing Neurodynamics for Robotic Arm Pose Tracking.
IEEE Trans. Neural Networks Learn. Syst., September, 2025

Uncalibrated Model-Free Visual Servo Control for Robotic Endoscopic with RCM Constraint Using Neural Networks.
IEEE Trans. Cybern., September, 2025

Adaptive region assisted GAN for image steganography.
Multim. Syst., June, 2025

Three-dimensional dynamic collaborative path planning for multiple UCAVs using an improved NSGAII.
Clust. Comput., April, 2025

Progressive Learning Strategy for Few-Shot Class-Incremental Learning.
IEEE Trans. Cybern., March, 2025

Multi-Perspective Pseudo-Label Generation and Confidence-Weighted Training for Semi-Supervised Semantic Segmentation.
IEEE Trans. Multim., 2025

Joint Segmentation of FAZ and RVs in OCTA Images With Auxiliary 3-D Image Projection Learning.
IEEE Trans. Instrum. Meas., 2025

Investigating Vulnerabilities in OpenFlow Discovery Protocol: Novel Attacks and Their Defense.
IEEE Trans. Dependable Secur. Comput., 2025

A multi-population competitive evolutionary algorithm based on genotype preference for multimodal multi-objective optimization.
Swarm Evol. Comput., 2025

Frequency-Domain Enhancement Road Extraction Network for Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2025

FGCM: Modality-Behavior Fusion Model Integrated with Graph Contrastive Learning for Multimodal Recommendation.
IEEE Multim., 2025

Mutual Information Guided Invertible Image Hiding Network.
Eng. Appl. Artif. Intell., 2025

Dualmnet: a Lightweight Multi-Axis Interactive and Mask-Guided Network for Intracerebral Hemorrhage Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Explicit Relational Reasoning Network for Scene Text Detection.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Distilling Knowledge from Heterogeneous Architectures for Semantic Segmentation.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Out of Length Text Recognition with Sub-String Matching.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
A Fixed-Time Robust ZNN Model With Adaptive Parameters for Redundancy Resolution of Manipulators.
IEEE Trans. Emerg. Top. Comput. Intell., December, 2024

Poisoning Topology View in Software-Defined Vehicular Network: An Empirical Study.
IEEE Trans. Intell. Transp. Syst., November, 2024

Wind farm layout optimization using adaptive equilibrium optimizer.
J. Supercomput., July, 2024

A Dynamic Parameter Noise-Tolerant Zeroing Neural Network for Time-Varying Quaternion Matrix Equation With Applications.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

Manipulating Sensitive Match Fields to Poison Applications in SDN.
IEEE Trans. Netw. Serv. Manag., April, 2024

Fusion hierarchy motion feature for video saliency detection.
Multim. Tools Appl., March, 2024

Cross-level collaborative context-aware framework for medical image segmentation.
Expert Syst. Appl., February, 2024

Multi-scale Perception and Feature Refinement Network for multi-class segmentation of intracerebral hemorrhage in CT images.
Biomed. Signal Process. Control., February, 2024

DGFNet: Depth-Guided Cross-Modality Fusion Network for RGB-D Salient Object Detection.
IEEE Trans. Multim., 2024

Neural Architecture Search-Based Few-Shot Learning for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2024

Accelerated Sparse-Coding-Inspired Feedback Neural Architecture Search for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2024

Vulnerabilities in SDN Topology Discovery Mechanism: Novel Attacks and Countermeasures.
IEEE Trans. Dependable Secur. Comput., 2024

A Two-Stream Stacked Autoencoder With Inter-Class Separability for Bilinear Hyperspectral Unmixing.
IEEE Trans. Computational Imaging, 2024

MCNet: A multi-level context-aware network for the segmentation of adrenal gland in CT images.
Neural Networks, 2024

Integrating category-related key regions with a dual-stream network for remote sensing scene classification.
J. Vis. Commun. Image Represent., 2024

Multimodal Graph Neural Network for Recommendation with Dynamic De-redundancy and Modality-Guided Feature De-noisy.
CoRR, 2024

Sentinel mechanism for visual semantic graph-based image captioning.
Comput. Electr. Eng., 2024

Multi-view Masked Contrastive Representation Learning for Endoscopic Video Analysis.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

One-to-Multiple: A Progressive Style Transfer Unsupervised Domain-Adaptive Framework for Kidney Tumor Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Dual Contrastive Learning Guided Pathological Image Re-Staining.
Proceedings of the IEEE International Conference on Acoustics, 2024

Learning to Rank Patches for Unbiased Image Redundancy Reduction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
A soft actor-critic reinforcement learning algorithm for network intrusion detection.
Comput. Secur., December, 2023

Polyp segmentation with distraction separation.
Expert Syst. Appl., October, 2023

Boundary-Guided and Region-Aware Network With Global Scale-Adaptive for Accurate Segmentation of Breast Tumors in Ultrasound Images.
IEEE J. Biomed. Health Informatics, September, 2023

A new two-stream network based on feature separation and complementation for ultrasound image segmentation.
Biomed. Signal Process. Control., April, 2023

DSC-Net: A Novel Interactive Two-Stream Network by Combining Transformer and CNN for Ultrasound Image Segmentation.
IEEE Trans. Instrum. Meas., 2023

MWG-Net: Multiscale Wavelet Guidance Network for COVID-19 Lung Infection Segmentation From CT Images.
IEEE Trans. Instrum. Meas., 2023

Lightweight Multiscale Neural Architecture Search With Spectral-Spatial Attention for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2023

SPAE: Spatial Preservation-based Autoencoder for ADHD functional brain networks modelling.
Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023

Modeling Functional Brain Networks with Multi-Head Attention-based Region-Enhancement for ADHD Classification.
Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023

SDN Application Backdoor: Disrupting the Service via Poisoning the Topology.
Proceedings of the IEEE INFOCOM 2023, 2023

Pseudo Multi-Source Domain Extension and Selective Pseudo-Labeling for Unsupervised Domain Adaptive Medical Image Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Exploiting Multi-Decision and Deep Refinement for Ultrasound Image Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Self-distillation Augmented Masked Autoencoders for Histopathological Image Understanding.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Joint-Seg: Treat Foveal Avascular Zone and Retinal Vessel Segmentation in OCTA Images as a Joint Task.
IEEE Trans. Instrum. Meas., 2022

MCA-Net: Multi-Feature Coding and Attention Convolutional Neural Network for Predicting lncRNA-Disease Association.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

A New Attention-Based LSTM for Image Captioning.
Neural Process. Lett., 2022

Adaptive image annotation: refining labels according to contents and relations.
Neural Comput. Appl., 2022

Bridge-Net: Context-involved U-net with patch-based loss weight mapping for retinal blood vessel segmentation.
Expert Syst. Appl., 2022

Self-distillation Augmented Masked Autoencoders for Histopathological Image Classification.
CoRR, 2022

I2-Net: Intra- and Inter-scale Collaborative Learning Network for Abdominal Multi-organ Segmentation.
Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

2021
Embedded Residual Recurrent Network and Graph Search for the Segmentation of Retinal Layer Boundaries in Optical Coherence Tomography.
IEEE Trans. Instrum. Meas., 2021

A hierarchical and multi-view registration of serial histopathological images.
Pattern Recognit. Lett., 2021

DeepRibSt: a multi-feature convolutional neural network for predicting ribosome stalling.
Multim. Tools Appl., 2021

CRDet: Improving Signet Ring Cell Detection by Reinforcing the Classification Branch.
J. Comput. Biol., 2021

Deep supervised learning using self-adaptive auxiliary loss for COVID-19 diagnosis from imbalanced CT images.
Neurocomputing, 2021

ERV-Net: An efficient 3D residual neural network for brain tumor segmentation.
Expert Syst. Appl., 2021

Joint optimization of energy saving and load balancing for data center networks based on software defined networks.
Concurr. Comput. Pract. Exp., 2021

A Hybrid Feature Enhancement Method for Gl And Segmentation In Histopathology Images.
Proceedings of the IEEE International Conference on Acoustics, 2021

BGRA-Net: Boundary-Guided and Region-Aware Convolutional Neural Network for the Segmentation of Breast Ultrasound Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Automatic segmentation of dermoscopy images using saliency combined with adaptive thresholding based on wavelet transform.
Multim. Tools Appl., 2020

Automatic segmentation of intracerebral hemorrhage in CT images using encoder-decoder convolutional neural network.
Inf. Process. Manag., 2020

LDNFSGB: prediction of long non-coding rna and disease association using network feature similarity and gradient boosting.
BMC Bioinform., 2020

Multi-Modal Weights Sharing and Hierarchical Feature Fusion for RGBD Salient Object Detection.
IEEE Access, 2020

Signet Ring Cell Detection with Classification Reinforcement Detection Network.
Proceedings of the Bioinformatics Research and Applications - 16th International Symposium, 2020

Automated Segmentation of Lateral Ventricle in MR Images Using Multi-scale Feature Fusion Convolutional Neural Network.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

EffiDiag: an Efficient Framework for Breast Cancer Diagnosis in Multi-Gigapixel Whole Slide Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

HMOE-Net: Hybrid Multi-scale Object Equalization Network for Intracerebral Hemorrhage Segmentation in CT Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Nuclei Segmentation in Histopathology Images Using Rotation Equivariant and Multi-level Feature Aggregation Neural Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
A Skin Lesion Segmentation Method Based on Saliency and Adaptive Thresholding in Wavelet Domain.
Proceedings of the Cognitive Internet of Things: Frameworks, Tools and Applications, 2019

A Self-Adaptive Virtual Network Embedding Algorithm Based on Software-Defined Networks.
IEEE Trans. Netw. Serv. Manag., 2019

Hyperspectral Image Denoising via Subspace-Based Nonlocal Low-Rank and Sparse Factorization.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

DoS vulnerabilities and mitigation strategies in software-defined networks.
J. Netw. Comput. Appl., 2019

DAA: Dual LSTMs with adaptive attention for image captioning.
Neurocomputing, 2019

Automatic segmentation of retinal layer boundaries in OCT images using multiscale convolutional neural network and graph search.
Neurocomputing, 2019

Markov multiple feature random fields model for the segmentation of brain MR images.
Expert Syst. Appl., 2019

Classification of melanoma based on feature similarity measurement for codebook learning in the bag-of-features model.
Biomed. Signal Process. Control., 2019

Brain Tumor Segmentation Using Multi-Cascaded Convolutional Neural Networks and Conditional Random Field.
IEEE Access, 2019

2018
Packet Injection Attack and Its Defense in Software-Defined Networks.
IEEE Trans. Inf. Forensics Secur., 2018

Salient object detection based on eye tracking data.
Signal Process., 2018

Retinal vessel segmentation of color fundus images using multiscale convolutional neural network with an improved cross-entropy loss function.
Neurocomputing, 2018

Multi-scale deep neural network for salient object detection.
IET Image Process., 2018

MSDNN: Multi-Scale Deep Neural Network for Salient Object Detection.
CoRR, 2018

The complex data denoising in MR images based on the directional extension for the undecimated wavelet transform.
Biomed. Signal Process. Control., 2018

2017
Microcalcification diagnosis in digital mammography using extreme learning machine based on hidden Markov tree model of dual-tree complex wavelet transform.
Expert Syst. Appl., 2017

2014
A Novel Image Fusion Method based on Translation Invariant Wavelet Transforms.
J. Softw., 2014

2013
Lattice Structure for Generalized-Support Multidimensional Linear Phase Perfect Reconstruction Filter Bank.
IEEE Trans. Image Process., 2013

2012
A New Design Method of the Starting Block in Lattice Structure of Arbitrary-Length Linear Phase Paraunitary Filter Bank by Combining Two Polyphase Matrices.
IEEE Trans. Circuits Syst. II Express Briefs, 2012

2011
Detection of Suspicious Lesions by Adaptive Thresholding Based on Multiresolution Analysis in Mammograms.
IEEE Trans. Instrum. Meas., 2011

2009
Construction of Arbitrary Dimensional Biorthogonal Multiwavelet Using Lifting Scheme.
IEEE Trans. Image Process., 2009

2007
Prediction of Transmembrane Helix Using a Compound Neural Network.
Proceedings of the Third International Conference on Natural Computation, 2007

2005
A Fast Nonseparable Wavelet Neural Network for Function Approximation.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Short-Term Prediction on Parameter-Varying Systems by Multiwavelets Neural Network.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

A Novel Orthonormal Wavelet Network for Function Learning.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

2004
Multiwavelet networks for prediction of chaotic time series.
Proceedings of the IEEE International Conference on Systems, 2004


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