Zhenxi Zhang

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

Bibliography

2026
Toward Modality- and Sampling-Universal Learning Strategies for Accelerating Cardiovascular Imaging: Summary of the CMRxRecon2024 Challenge.
IEEE Trans. Medical Imaging, May, 2026

TopoMamba: Topology-Aware Scanning and Fusion for Segmenting Heterogeneous Medical Visual Media.
CoRR, April, 2026

Exploring Self-Image and Cross-Image Consistency Learning for Remote Sensing Burned Area Segmentation.
IEEE Trans. Circuits Syst. Video Technol., March, 2026

Remote Sensing Image Dehazing: A Systematic Review of Progress, Challenges, and Prospects.
CoRR, March, 2026

Any-to-All MRI Synthesis: A Unified Foundation Model for Nasopharyngeal Carcinoma and Its Downstream Applications.
CoRR, February, 2026

DV-VLN: Dual Verification for Reliable LLM-Based Vision-and-Language Navigation.
CoRR, January, 2026

An Adversarial Margin Driven Rectified Prototypical Learning Method for Few-Shot Incremental Automatic Modulation Recognition.
IEEE Wirel. Commun. Lett., 2026

A Multi-Level Feature Distribution Learning Method for Automatic Modulation Open-Set Recognition.
IEEE Trans. Cogn. Commun. Netw., 2026

Improved Distribution Difference Driven Diffusion Generative Method for AMOSR.
IEEE Trans. Cogn. Commun. Netw., 2026

Semantic Graph Reasoning Over Multidomain Fusion for Radar Jamming Recognition.
IEEE Trans. Aerosp. Electron. Syst., 2026

SMCL: Toward Semi-Supervised Automatic Modulation Recognition via Semantic Mask Contrastive Learning.
IEEE Internet Things J., 2026

Adaptive Morph-Patch Transformer for Aortic Vessel Segmentation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Deformation-Resilient Multigranularity Learning for Unaligned RGB-T Semantic Segmentation.
IEEE Trans. Neural Networks Learn. Syst., October, 2025

A Time-Frequency-Aware Hierarchical Feature Optimization Method for SAR Jamming Recognition.
IEEE Trans. Aerosp. Electron. Syst., August, 2025

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant.
CoRR, May, 2025

MSF-IOF: A Novel ISAR-and-Optical Image Fusion Method Based on Features of Multisubbands.
IEEE Trans. Geosci. Remote. Sens., 2025

Few-Shot SAR ATR via Multilevel Contrastive Learning and Dependence Matrix-Based Measurement.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

Lightweight Spatial-Channel-Frequency Network for RGB-Thermal Salient Object Detection.
IEEE Signal Process. Lett., 2025

Enhancing Unlabeled Signal Representation: A Diffusion-Feature-Based Semi-Supervised Framework for AMR.
Proceedings of the 2025 IEEE Global Communications Conference, 2025

2024
PASS-Net: A Pseudo Classes and Stochastic Classifiers-Based Network for Few-Shot Class-Incremental Automatic Modulation Classification.
IEEE Trans. Wirel. Commun., December, 2024

Dual-Domain Collaborative Diffusion Sampling for Multi-Source Stationary Computed Tomography Reconstruction.
IEEE Trans. Medical Imaging, October, 2024

3-D Convolutional Neural Networks for RGB-D Salient Object Detection and Beyond.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

An Implicit-Explicit Prototypical Alignment Framework for Semi-Supervised Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, February, 2024

Frequency-aware feature aggregation network with dual-task consistency for RGB-T salient object detection.
Pattern Recognit., February, 2024

M2FNet: Mask-Guided Multi-Level Fusion for RGB-T Pedestrian Detection.
IEEE Trans. Multim., 2024

An Evidential-Enhanced Tri-Branch Consistency Learning Method for Semi-Supervised Medical Image Segmentation.
IEEE Trans. Instrum. Meas., 2024

Multi-Scale Feature Fusion and Distribution Similarity Network for Few-Shot Automatic Modulation Classification.
IEEE Signal Process. Lett., 2024

Quality-driven deep cross-supervised learning network for semi-supervised medical image segmentation.
Comput. Biol. Medicine, 2024

Low-frequency amplitude fusion based consistency learning method for multi-source domain adaptation for joint optic disc and cup segmentation.
Biomed. Signal Process. Control., 2024

Local-global pseudo-label correction for source-free domain adaptive medical image segmentation.
Biomed. Signal Process. Control., 2024

2023
Model-driven self-aware self-training framework for label noise-tolerant medical image segmentation.
Signal Process., November, 2023

Kernel-based feature aggregation framework in point cloud networks.
Pattern Recognit., July, 2023

Position-Aware Relation Learning for RGB-Thermal Salient Object Detection.
IEEE Trans. Image Process., 2023

Multi Task Consistency Guided Source-Free Test-Time Domain Adaptation Medical Image Segmentation.
CoRR, 2023

Cross-supervised Dual Classifiers for Semi-supervised Medical Image Segmentation.
CoRR, 2023

Self-aware and Cross-Sample Prototypical Learning for Semi-supervised Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
PixelGame: Infrared Small Target Segmentation as a Nash Equilibrium.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Collaborative boundary-aware context encoding networks for error map prediction.
Pattern Recognit., 2022

Discriminative error prediction network for semi-supervised colon gland segmentation.
Medical Image Anal., 2022

Multispectral Fusion Transformer Network for RGB-Thermal Urban Scene Semantic Segmentation.
IEEE Geosci. Remote. Sens. Lett., 2022

Dynamic prototypical feature representation learning framework for semi-supervised skin lesion segmentation.
Neurocomputing, 2022

Mutual- and Self- Prototype Alignment for Semi-supervised Medical Image Segmentation.
CoRR, 2022

2021
Visual relationship detection with region topology structure.
Inf. Sci., 2021

Quality-driven deep active learning method for 3D brain MRI segmentation.
Neurocomputing, 2021

2020
Collaborative Boundary-aware Context Encoding Networks for Error Map Prediction.
CoRR, 2020

2019
A sparse annotation strategy based on attention-guided active learning for 3D medical image segmentation.
CoRR, 2019

A Coarse-to-Fine Deep Heatmap Regression Method for Adolescent Idiopathic Scoliosis Assessment.
Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2019

An Attention-Guided Deep Regression Model for Landmark Detection in Cephalograms.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

A Multi-resolution Coarse-to-Fine Segmentation Framework with Active Learning in 3D Brain MRI.
Proceedings of the Intelligence Science and Big Data Engineering. Visual Data Engineering, 2019


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