Yinghuan Shi

According to our database1, Yinghuan Shi authored at least 60 papers between 2009 and 2019.

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Bibliography

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

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

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

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

Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification.
CoRR, 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

A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification.
CoRR, 2019

Special issue on machine learning in medical imaging.
Comp. Med. Imag. and Graph., 2019

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

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

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

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

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

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

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

Online multi-view subspace learning via group structure analysis for visual object tracking.
Distributed and 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. Cybernetics, 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

OPML: A One-Pass Closed-Form Solution for Online Metric Learning.
CoRR, 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 Netw. Learning 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. Engineering, 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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