Yinghuan Shi

Orcid: 0009-0008-0722-9744

According to our database1, Yinghuan Shi authored at least 149 papers between 2009 and 2024.

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

Timeline

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Bibliography

2024
Exploring Flat Minima for Domain Generalization With Large Learning Rates.
IEEE Trans. Knowl. Data Eng., November, 2024

Generalizable Metric Network for Cross-Domain Person Re-Identification.
IEEE Trans. Circuits Syst. Video Technol., October, 2024

MultiMatch: Multi-task Learning for Semi-supervised Domain Generalization.
ACM Trans. Multim. Comput. Commun. Appl., June, 2024

MutexMatch: Semi-Supervised Learning With Mutex-Based Consistency Regularization.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

PLACE Dropout: A Progressive Layer-wise and Channel-wise Dropout for Domain Generalization.
ACM Trans. Multim. Comput. Commun. Appl., March, 2024

ERNet: Edge Regularization Network for Cerebral Vessel Segmentation in Digital Subtraction Angiography Images.
IEEE J. Biomed. Health Informatics, March, 2024

Domain generalization via Inter-domain Alignment and Intra-domain Expansion.
Pattern Recognit., February, 2024

Learning Generalizable Models via Disentangling Spurious and Enhancing Potential Correlations.
IEEE Trans. Image Process., 2024

NormAUG: Normalization-Guided Augmentation for Domain Generalization.
IEEE Trans. Image Process., 2024

SETA: Semantic-Aware Edge-Guided Token Augmentation for Domain Generalization.
IEEE Trans. Image Process., 2024

START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation.
CoRR, 2024

Dual-Teacher Ensemble Models with Double-Copy-Paste for 3D Semi-Supervised Medical Image Segmentation.
CoRR, 2024

SETA: Semantic-Aware Token Augmentation for Domain Generalization.
CoRR, 2024

Concatenate, Fine-tuning, Re-training: A SAM-enabled Framework for Semi-supervised 3D Medical Image Segmentation.
CoRR, 2024

PC<sup>2</sup>: Pseudo-Classification Based Pseudo-Captioning for Noisy Correspondence Learning in Cross-Modal Retrieval.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Enhancing Weakly Supervised Medical Segmentation via Heterogeneous Co-training with Box-Wise Augmentation and Pseudo-Label Filtering.
Proceedings of the Intelligence Science V - 6th IFIP TC 12 International Conference, 2024

The Devil Is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation.
Proceedings of the Computer Vision - ECCV 2024, 2024

Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain Generalization.
Proceedings of the Computer Vision - ECCV 2024, 2024

Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
LibFewShot: A Comprehensive Library for Few-Shot Learning.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

A Multilayer Framework for Online Metric Learning.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Unsupervised generalizable multi-source person re-identification: A Domain-specific adaptive framework.
Pattern Recognit., August, 2023

PLN: Parasitic-Like Network for Barely Supervised Medical Image Segmentation.
IEEE Trans. Medical Imaging, March, 2023

A Novel Mix-Normalization Method for Generalizable Multi-Source Person Re-Identification.
IEEE Trans. Multim., 2023

Better pseudo-label: Joint domain-aware label and dual-classifier for semi-supervised domain generalization.
Pattern Recognit., 2023

A Theoretical Explanation of Activation Sparsity through Flat Minima and Adversarial Robustness.
CoRR, 2023

A Novel Cross-Perturbation for Single Domain Generalization.
CoRR, 2023

FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching Between 3D and 2D Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DomainDrop: Suppressing Domain-Sensitive Channels for Domain Generalization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Towards Semi-supervised Learning with Non-random Missing Labels.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DomainAdaptor: A Novel Approach to Test-time Adaptation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

ALOFT: A Lightweight MLP-Like Architecture with Dynamic Low-Frequency Transform for Domain Generalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Orthogonal Annotation Benefits Barely-supervised Medical Image Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Inconsistency-Aware Uncertainty Estimation for Semi-Supervised Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2022

Deep Symmetric Adaptation Network for Cross-Modality Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2022

Crosslink-Net: Double-Branch Encoder Network via Fusing Vertical and Horizontal Convolutions for Medical Image Segmentation.
IEEE Trans. Image Process., 2022

Video Super-Resolution via a Spatio-Temporal Alignment Network.
IEEE Trans. Image Process., 2022

Label Distribution Learning for Generalizable Multisource Person Re-Identification.
IEEE Trans. Inf. Forensics Secur., 2022

Feature-Based Style Randomization for Domain Generalization.
IEEE Trans. Circuits Syst. Video Technol., 2022

Adversarial Camera Alignment Network for Unsupervised Cross-Camera Person Re-Identification.
IEEE Trans. Circuits Syst. Video Technol., 2022

Generalizable model-agnostic semantic segmentation via target-specific normalization.
Pattern Recognit., 2022

A time-incorporated SOFA score-based machine learning model for predicting mortality in critically ill patients: A multicenter, real-world study.
Int. J. Medical Informatics, 2022

Label Distribution Learning for Generalizable Multi-source Person Re-identification.
CoRR, 2022

Improving Barely Supervised Learning by Discriminating Unlabeled Samples with Super-Class.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration.
Proceedings of the Computer Vision - ECCV 2022, 2022

MVDG: A Unified Multi-view Framework for Domain Generalization.
Proceedings of the Computer Vision - ECCV 2022, 2022

RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

DC-SSL: Addressing Mismatched Class Distribution in Semi-supervised Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

ST++: Make Self-trainingWork Better for Semi-supervised Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Adaptive Weight of Unreliable Relation Module for Semi-supervised Multi-label Image Recognition.
Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

LaSSL: Label-Guided Self-Training for Semi-supervised Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
GreyReID: A Novel Two-stream Deep Framework with RGB-grey Information for Person Re-identification.
ACM Trans. Multim. Comput. Commun. Appl., 2021

Learning-Based Computer-Aided Prescription Model for Parkinson's Disease: A Data-Driven Perspective.
IEEE J. Biomed. Health Informatics, 2021

Crossover-Net: Leveraging vertical-horizontal crossover relation for robust medical image segmentation.
Pattern Recognit., 2021

Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images.
Pattern Recognit., 2021

Recycling diagnostic MRI for empowering brain morphometric research - Critical & practical assessment on learning-based image super-resolution.
NeuroImage, 2021

A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning.
Medical Image Anal., 2021

More is Better: A Novel Multi-view Framework for Domain Generalization.
CoRR, 2021

Domain Generalization via Progressive Layer-wise and Channel-wise Dropout.
CoRR, 2021

Unsupervised Domain Generalization for Person Re-identification: A Domain-specific Adaptive Framework.
CoRR, 2021

Crosslink-Net: Double-branch Encoder Segmentation Network via Fusing Vertical and Horizontal Convolutions.
CoRR, 2021

ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation.
CoRR, 2021

Interactive medical image segmentation via a point-based interaction.
Artif. Intell. Medicine, 2021

Mining Latent Classes for Few-shot Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Manifold Alignment for Semantically Aligned Style Transfer.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Leveraging Coupled Interaction for Multimodal Alzheimer's Disease Diagnosis.
IEEE Trans. Neural Networks Learn. Syst., 2020

Sample-Adaptive GANs: Linking Global and Local Mappings for Cross-Modality MR Image Synthesis.
IEEE Trans. Medical Imaging, 2020

An Effective MR-Guided CT Network Training for Segmenting Prostate in CT Images.
IEEE J. Biomed. Health Informatics, 2020

Progressive Cross-Camera Soft-Label Learning for Semi-Supervised Person Re-Identification.
IEEE Trans. Circuits Syst. Video Technol., 2020

A Universal Method of Linear Approximation With Controllable Error for the Efficient Implementation of Transcendental Functions.
IEEE Trans. Circuits Syst. I Regul. Pap., 2020

TripletUNet: Multi-Task U-Net with Online Voxel-Wise Learning for Precise CT Prostate Segmentation.
CoRR, 2020

Class Distribution Alignment for Adversarial Domain Adaptation.
CoRR, 2020

Unsupervised Few-shot Learning via Distribution Shift-based Augmentation.
CoRR, 2020

Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19.
CoRR, 2020

Crossover-Net: Leveraging the Vertical-Horizontal Crossover Relation for Robust Segmentation.
CoRR, 2020

Generalizable Semantic Segmentation via Model-agnostic Learning and Target-specific Normalization.
CoRR, 2020

Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledge.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Asymmetric Distribution Measure for Few-shot Learning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Automatic Data Augmentation Via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Differentiable Meta-Learning Model for Few-Shot Semantic Segmentation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Ea-GANs: Edge-Aware Generative Adversarial Networks for Cross-Modality MR Image Synthesis.
IEEE Trans. Medical Imaging, 2019

Pelvic Organ Segmentation Using Distinctive Curve Guided Fully Convolutional Networks.
IEEE Trans. Medical Imaging, 2019

Machine Learning in Medical Imaging.
IEEE J. Biomed. Health Informatics, 2019

Crossbar-Net: A Novel Convolutional Neural Network for Kidney Tumor Segmentation in CT Images.
IEEE Trans. Image Process., 2019

GreyReID: A Two-stream Deep Framework with RGB-grey Information for Person Re-identification.
CoRR, 2019

Adversarial Camera Alignment Network for Unsupervised Cross-camera Person Re-identification.
CoRR, 2019

Special issue on machine learning in medical imaging.
Comput. Medical Imaging Graph., 2019

MIDCN: A Multiple Instance Deep Convolutional Network for Image Classification.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

A Novel Deep Multi-Modal Feature Fusion Method for Celebrity Video Identification.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Cross-Modal Attention-Guided Convolutional Network for Multi-modal Cardiac Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

A Mask Based Deep Ranking Neural Network for Person Retrieval.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

A Novel Unsupervised Camera-Aware Domain Adaptation Framework for Person Re-Identification.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Incomplete-Data Oriented Multiview Dimension Reduction via Sparse Low-Rank Representation.
IEEE Trans. Neural Networks Learn. Syst., 2018

Cross-Modal Metric Learning for AUC Optimization.
IEEE Trans. Neural Networks Learn. Syst., 2018

Heterogeneous Face Recognition by Margin-Based Cross-Modality Metric Learning.
IEEE Trans. Cybern., 2018

OPML: A one-pass closed-form solution for online metric learning.
Pattern Recognit., 2018

Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification.
IEEE J. Sel. Top. Signal Process., 2018

Online multi-view subspace learning via group structure analysis for visual object tracking.
Distributed Parallel Databases, 2018

Online Deep Metric Learning.
CoRR, 2018

Crossbar-Net: A Novel Convolutional Network for Kidney Tumor Segmentation in CT Images.
CoRR, 2018

Interactive Medical Image Segmentation via Point-Based Interaction and Sequential Patch Learning.
CoRR, 2018

MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification.
CoRR, 2018

The Automatic Identification of Butterfly Species.
CoRR, 2018

A Novel Two-Stage Deep Method for Mitosis Detection in Breast Cancer Histology Images.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

A Novel Image-Specific Transfer Approach for Prostate Segmentation in MR Images.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Modelling Diffusion Process by Deep Neural Networks for Image Retrieval.
Proceedings of the British Machine Vision Conference 2018, 2018

WebCaricature: a benchmark for caricature recognition.
Proceedings of the British Machine Vision Conference 2018, 2018

A Joint Local and Global Deep Metric Learning Method for Caricature Recognition.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Group-Based Alternating Direction Method of Multipliers for Distributed Linear Classification.
IEEE Trans. Cybern., 2017

WebCaricature: a benchmark for caricature face recognition.
CoRR, 2017

Variation Robust Cross-Modal Metric Learning for Caricature Recognition.
Proceedings of the on Thematic Workshops of ACM Multimedia 2017, Mountain View, CA, USA, October 23, 2017

A Point Says a Lot: An Interactive Segmentation Method for MR Prostate via One-Point Labeling.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Does Manual Delineation only Provide the Side Information in CT Prostate Segmentation?
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Cost-Sensitive Alternating Direction Method of Multipliers for Large-Scale Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30, 2017

Revisiting Metric Learning for SPD Matrix Based Visual Representation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Beyond IID: Learning to Combine Non-IID Metrics for Vision Tasks.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
A learning-based CT prostate segmentation method via joint transductive feature selection and regression.
Neurocomputing, 2016

Ensemble of Sparse Cross-Modal Metrics for Heterogeneous Face Recognition.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Multi-view Subspace Clustering via a Global Low-Rank Affinity Matrix.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016

Grouping Parallel Bayesian Network Structure Learning Algorithm Based on Variable Ordering.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016

A Fast Distributed Classification Algorithm for Large-Scale Imbalanced Data.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015
MRM-Lasso: A Sparse Multiview Feature Selection Method via Low-Rank Analysis.
IEEE Trans. Neural Networks Learn. Syst., 2015

Semi-Automatic Segmentation of Prostate in CT Images via Coupled Feature Representation and Spatial-Constrained Transductive Lasso.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Interactive image segmentation via cascaded metric learning.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
mPadal: a joint local-and-global multi-view feature selection method for activity recognition.
Appl. Intell., 2014

Interactive Prostate Segmentation Based on Adaptive Feature Selection and Manifold Regularization.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

A Novel Ego-Centered Academic Community Detection Approach via Factor Graph Model.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014

Joint Coupled-Feature Representation and Coupled Boosting for AD Diagnosis.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Multimodal Sparse Representation-Based Classification for Lung Needle Biopsy Images.
IEEE Trans. Biomed. Eng., 2013

Transductive cost-sensitive lung cancer image classification.
Appl. Intell., 2013

Automatic Prostate MR Image Segmentation with Sparse Label Propagation and Domain-Specific Manifold Regularization.
Proceedings of the Information Processing in Medical Imaging, 2013

Voting-XCSc: A Consensus Clustering Method via Learning Classifier System.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

Image Super Resolution via Visual Prior Based Digital Image Characteristics.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

Prostate Segmentation in CT Images via Spatial-Constrained Transductive Lasso.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Transductive Prostate Segmentation for CT Image Guided Radiotherapy.
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012

2011
Xcsc: a Novel Approach to Clustering with Extended Classifier System.
Int. J. Neural Syst., 2011

P2LSA and P2LSA+: Two Paralleled Probabilistic Latent Semantic Analysis Algorithms Based on the MapReduce Model.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

2010
Real-Time Abnormal Event Detection in Complicated Scenes.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009
Clustering with XCS and Agglomerative Rule Merging.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

Apply ant colony optimization to Tetris.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009


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