Youyong Kong

Orcid: 0000-0003-2095-8470

According to our database1, Youyong Kong authored at least 102 papers between 2015 and 2026.

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

Timeline

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Bibliography

2026
BLEG: LLM Functions as Powerful fMRI Graph-Enhancer for Brain Network Analysis.
CoRR, April, 2026

Analytic Drift Resister for Non-Exemplar Continual Graph Learning.
CoRR, April, 2026

M3D-BFS: a Multi-stage Dynamic Fusion Strategy for Sample-Adaptive Multi-Modal Brain Network Analysis.
CoRR, April, 2026

Let Invariant Learning Inspire Neighbor-Shift Generalization on Graphs.
IEEE Trans. Artif. Intell., March, 2026

STAGE: A Benchmark for Knowledge Graph Construction, Question Answering, and In-Script Role-Playing over Movie Screenplays.
CoRR, January, 2026

Ego Attention Network: Local Awareness Boosts Graph Attention for Graph Representation Learning.
IEEE Trans. Signal Inf. Process. over Networks, 2026

Neurobridge: Bridging functional and structural brain networks via neural coupling and consistency-Guided dynamic graph learning.
Medical Image Anal., 2026

Multimodal brain network analysis: Research advances and challenges.
Inf. Fusion, 2026

Embedding uncertainty modeling for cold-start item recommendation.
Neurocomputing, 2026

SpineCLUE: Automatic vertebrae identification using contrastive learning and uncertainty estimation.
Artif. Intell. Medicine, 2026

Intraoperative 2D/3D Registration via Spherical Similarity Learning and Differentiable Levenberg-Marquardt Optimization.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025
Intraoperative 2D/3D Registration via Spherical Similarity Learning and Inference-Time Differentiable Levenberg-Marquardt Optimization.
CoRR, September, 2025

Wavelet-Based Dual-Task Network.
IEEE Trans. Neural Networks Learn. Syst., July, 2025

Instance-Prototype Affinity Learning for Non-Exemplar Continual Graph Learning.
CoRR, May, 2025

Multi-Scale Spatial-Temporal Attention Networks for Functional Connectome Classification.
IEEE Trans. Medical Imaging, January, 2025

MSARAE: Multiscale adversarial regularized autoencoders for cortical network classification.
Medical Image Anal., 2025

Prompt-driven graph distillation: Enabling single-layer MLPs to outperform Deep Graph Neural Networks in graph-based tasks.
Neurocomputing, 2025

Mask prompt-guided multi-stage network for vertebrae identification.
Biomed. Signal Process. Control., 2025

DiffuER: Auxiliary Regularized Diffusion Model for Text Generation with Semantic Consistency.
Proceedings of the International Joint Conference on Neural Networks, 2025

Suit the Node Pair to the Case: A Multi-Scale Node Pair Grouping Strategy for Graph-MLP Distillation.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Soft Augmentation for Graph Classification.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

M<sup>2</sup>F<sup>2</sup>Net: Multi-stage Mixed Feature Fusion Network For Remote Sensing Change Detection.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Learning Heterogeneous Tissues with Mixture of Experts for Gigapixel Whole Slide Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Exploring Rationale Learning for Continual Graph Learning.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

HePa: Heterogeneous Graph Prompting for All-Level Classification Tasks.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
AHMN: A multi-modal network for long MOOC videos chapter segmentation.
Multim. Tools Appl., December, 2024

STANet: Spatio-Temporal Adaptive Network and Clinical Prior Embedding Learning for 3D+T CMR Segmentation.
IEEE J. Biomed. Health Informatics, February, 2024

Cortical Network Transformer for Classification of Structural Connectivity in Cerebral Cortex.
IEEE Trans. Instrum. Meas., 2024

CSLNSpeech: Solving the extended speech separation problem with the help of Chinese sign language.
Speech Commun., 2024

Rethinking Referring Object Removal.
CoRR, 2024

An Optimization-based Baseline for Rigid 2D/3D Registration Applied to Spine Surgical Navigation Using CMA-ES.
CoRR, 2024

SpineCLUE: Automatic Vertebrae Identification Using Contrastive Learning and Uncertainty Estimation.
CoRR, 2024

MGSN: Depression EEG lightweight detection based on multiscale DGCN and SNN for multichannel topology.
Biomed. Signal Process. Control., 2024

Leveraging Tumor Heterogeneity: Heterogeneous Graph Representation Learning for Cancer Survival Prediction in Whole Slide Images.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Fully Differentiable Correlation-Driven 2D/3D Registration for X-Ray to CT Image Fusion.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Embedded Feature Similarity Optimization with Specific Parameter Initialization for 2D/3D Medical Image Registration.
Proceedings of the IEEE International Conference on Acoustics, 2024

ST-LDM: A Universal Framework for Text-Grounded Object Generation in Real Images.
Proceedings of the Computer Vision - ECCV 2024, 2024

Multiscale Low-Frequency Memory Network for Improved Feature Extraction in Convolutional Neural Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Multi-Connectivity Representation Learning Network for Major Depressive Disorder Diagnosis.
IEEE Trans. Medical Imaging, October, 2023

Multi-scale self-attention mixup for graph classification.
Pattern Recognit. Lett., April, 2023

Embedded Feature Similarity Optimization with Specific Parameter Initialization for 2D/3D Registration.
CoRR, 2023

Locating Faulty Applications via Semantic and Topology Estimation.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

RH-BrainFS: Regional Heterogeneous Multimodal Brain Networks Fusion Strategy.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Brainnetformer: Decoding Brain Cognitive States with Spatial-Temporal Cross Attention.
Proceedings of the IEEE International Conference on Acoustics, 2023

Graph Contrastive Learning with Learnable Graph Augmentation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Topgformer: Topological-Based Graph Transformer for Mapping Brain Structural Connectivity to Functional Connectivity.
Proceedings of the IEEE International Conference on Acoustics, 2023

Topology Uncertainty Modeling For Imbalanced Node Classification on Graphs.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Landmark Localization for Cephalometric Analysis Using Multiscale Image Patch-Based Graph Convolutional Networks.
IEEE J. Biomed. Health Informatics, 2022

Few-Shot Learning for Deformable Medical Image Registration With Perception-Correspondence Decoupling and Reverse Teaching.
IEEE J. Biomed. Health Informatics, 2022

Multi-Stage Graph Fusion Networks for Major Depressive Disorder Diagnosis.
IEEE Trans. Affect. Comput., 2022

Convolutional modulation theory: A bridge between convolutional neural networks and signal modulation theory.
Neurocomputing, 2022

XMorpher: Full Transformer for Deformable Medical Image Registration via Cross Attention.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Hierarchical Diffusion Scattering Graph Neural Network.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

GCN2CAPS: Graph Convolutional Network to Capsule Network For Wide-Field Robust Graph Learning.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Graph Attention Mixup Transformer for Graph Classification.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Iterative Seeded Region Growing for Brain Tissue Segmentation.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Temporal Cross-Graph Network for Brain Functional Activity Prediction.
Proceedings of the IEEE International Conference on Acoustics, 2022

Spatio-Temporal Attention Graph Convolution Network for Functional Connectome Classification.
Proceedings of the IEEE International Conference on Acoustics, 2022

Feature Space Message Passing Network for Medical Image Semantic Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Examinee-Examiner Network: Weakly Supervised Accurate Coronary Lumen Segmentation Using Centerline Constraint.
IEEE Trans. Image Process., 2021

Meta grayscale adaptive network for 3D integrated renal structures segmentation.
Medical Image Anal., 2021

GSCFN: A graph self-construction and fusion network for semi-supervised brain tissue segmentation in MRI.
Neurocomputing, 2021

Fractional Wavelet-Based Generative Scattering Networks.
Frontiers Neurorobotics, 2021

Speech Denoising Using Only Single Noisy Audio Samples.
CoRR, 2021

CPNet: Cycle Prototype Network for Weakly-Supervised 3D Renal Compartments Segmentation on CT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

EnMcGAN: Adversarial Ensemble Learning for 3D Complete Renal Structures Segmentation.
Proceedings of the Information Processing in Medical Imaging, 2021

Semi-Supervised Medical Image Semantic Segmentation with Multi-scale Graph Cut Loss.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020
Learning Deep Landmarks for Imbalanced Classification.
IEEE Trans. Neural Networks Learn. Syst., 2020

Dense biased networks with deep priori anatomy and hard region adaptation: Semi-supervised learning for fine renal artery segmentation.
Medical Image Anal., 2020

Compressed sensing MR image reconstruction via a deep frequency-division network.
Neurocomputing, 2020

Deep octonion networks.
Neurocomputing, 2020

Generative networks as inverse problems with fractional wavelet scattering networks.
CoRR, 2020

SLNSpeech: solving extended speech separation problem by the help of sign language.
CoRR, 2020

Automatic Extraction of Blur Regions on a Single Image Based on Semantic Segmentation.
IEEE Access, 2020

Multi-Indicator Image Quality Assessment of Smartphone Camera Based on Human Subjective Behavior And Perception.
Proceedings of the 2020 IEEE International Conference on Multimedia & Expo Workshops, 2020

Deep Complementary Joint Model for Complex Scene Registration and Few-Shot Segmentation on Medical Images.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Deep Octonion Networks.
CoRR, 2019

Compressing complex convolutional neural network based on an improved deep compression algorithm.
CoRR, 2019

Fractional spectral graph wavelets and their applications.
CoRR, 2019

Modulated binary cliquenet.
CoRR, 2019

DPA-DenseBiasNet: Semi-supervised 3D Fine Renal Artery Segmentation with Dense Biased Network and Deep Priori Anatomy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Brain Tissue Segmentation based on Graph Convolutional Networks.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

A Multi-Task Convolutional Neural Network for Renal Tumor Segmentation and Classification Using Multi-Phasic CT Images.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Unsupervised Three-Dimensional Image Registration Using a Cycle Convolutional Neural Network.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Modulated Binary Clique Convolutional Neural Network.
Proceedings of the Seventh International Conference on Advanced Cloud and Big Data, 2019

Brain Tissue Segmentation Integrating Multi-level Features.
Proceedings of the Seventh International Conference on Advanced Cloud and Big Data, 2019

2018
PCANet: An energy perspective.
Neurocomputing, 2018

Automatic brain tissue segmentation based on graph filter.
BMC Medical Imaging, 2018

Fast Gray Code Kernel Algorithm for the Sliding Conjugate Symmetric Sequency-Ordered Complex Hadamard Transform.
IEEE Access, 2018

Automatic Segmentation of Kidney and Renal Tumor in CT Images Based on 3D Fully Convolutional Neural Network with Pyramid Pooling Module.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Multi-Session Parcellation of the Human Brain Using Resting-State fMRI.
Proceedings of the 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, 2018

2017
Deep Direct Reinforcement Learning for Financial Signal Representation and Trading.
IEEE Trans. Neural Networks Learn. Syst., 2017

A Hierarchical Fused Fuzzy Deep Neural Network for Data Classification.
IEEE Trans. Fuzzy Syst., 2017

Discriminant Kernel Assignment for Image Coding.
IEEE Trans. Cybern., 2017

Multilinear Principal Component Analysis Network for Tensor Object Classification.
IEEE Access, 2017

MomentsNet: A simple learning-free method for binary image recognition.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016
Deep and Structured Robust Information Theoretic Learning for Image Analysis.
IEEE Trans. Image Process., 2016

PCANet: An energy perspective.
CoRR, 2016

Phase-only signal reconstruction by MagnitudeCut.
CoRR, 2016

2015
Sparse Coding-Inspired Optimal Trading System for HFT Industry.
IEEE Trans. Ind. Informatics, 2015

Discriminative Clustering and Feature Selection for Brain MRI Segmentation.
IEEE Signal Process. Lett., 2015


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