Yinghuan Shi
Orcid: 0009-0008-0722-9744
According to our database1,
Yinghuan Shi
authored at least 149 papers
between 2009 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Knowl. Data Eng., November, 2024
IEEE Trans. Circuits Syst. Video Technol., October, 2024
ACM Trans. Multim. Comput. Commun. Appl., June, 2024
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
Pattern Recognit., February, 2024
Learning Generalizable Models via Disentangling Spurious and Enhancing Potential Correlations.
IEEE Trans. Image Process., 2024
IEEE Trans. Image Process., 2024
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
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
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023
IEEE Trans. Neural Networks Learn. Syst., October, 2023
Unsupervised generalizable multi-source person re-identification: A Domain-specific adaptive framework.
Pattern Recognit., August, 2023
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
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
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
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
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
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
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
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
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
IEEE Trans. Image Process., 2022
IEEE Trans. Inf. Forensics Secur., 2022
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
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
Proceedings of the Computer Vision - ECCV 2022, 2022
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
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
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
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
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
CoRR, 2021
Artif. Intell. Medicine, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
2020
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
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
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
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
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
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
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
Comput. Medical Imaging Graph., 2019
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019
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
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
IEEE Trans. Neural Networks Learn. Syst., 2018
IEEE Trans. Cybern., 2018
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
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
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
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the British Machine Vision Conference 2018, 2018
Proceedings of the British Machine Vision Conference 2018, 2018
Proceedings of the Computer Vision - ACCV 2018, 2018
2017
Group-Based Alternating Direction Method of Multipliers for Distributed Linear Classification.
IEEE Trans. Cybern., 2017
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
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
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
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016
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
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
2015
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
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
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
2013
IEEE Trans. Biomed. Eng., 2013
Automatic Prostate MR Image Segmentation with Sparse Label Propagation and Domain-Specific Manifold Regularization.
Proceedings of the Information Processing in Medical Imaging, 2013
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
2012
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012
2011
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
Proceedings of the 20th International Conference on Pattern Recognition, 2010
2009
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009
Proceedings of the Genetic and Evolutionary Computation Conference, 2009