Yang Yang
Orcid: 0000-0001-5720-773XAffiliations:
- Shanghai Jiao Tong University, Department of Computer Science and Engineering, Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering, Shanghai, China
- University of California at Riverside, CA, USA (2012 - 2013)
- Shanghai Maritime University, Department of Computer Science and Engineering, Shanghai, China (2009 - 2013)
- Shanghai Jiao Tong University, China (PhD 2009)
According to our database1,
Yang Yang
authored at least 64 papers
between 2005 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on orcid.org
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on cs.ucr.edu
On csauthors.net:
Bibliography
2024
J. Cheminformatics, December, 2024
CoRR, 2024
2023
MIGGRI: A multi-instance graph neural network model for inferring gene regulatory networks for Drosophila from spatial expression images.
PLoS Comput. Biol., November, 2023
HAMIL: Hierarchical aggregation-based multi-instance learning for microscopy image classification.
Pattern Recognit., April, 2023
Enhancing Cancer Gene Prediction through Aligned Fusion of Multiple PPI Networks Using Graph Transformer Models.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
GraphLoc: a graph neural network model for predicting protein subcellular localization from immunohistochemistry images.
Bioinform., October, 2022
J. Chem. Inf. Model., 2022
Accurate inference of gene regulatory interactions from spatial gene expression with deep contrastive learning.
Bioinform., 2022
SIFLoc: a self-supervised pre-training method for enhancing the recognition of protein subcellular localization in immunofluorescence microscopic images.
Briefings Bioinform., 2022
Survival Prediction for Gastric Cancer via Multimodal Learning of Whole Slide Images and Gene Expression.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Learning Time-Series Images of Niacin Skin-Flushing Test for the Diagnosis of Schizophrenia and Affective Disorder.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
KenDTI: An Ensemble Model for Predicting Drug-Target Interaction by Integrating Multi-Source Information.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
FlyIT: Drosophila Embryogenesis Image Annotation based on Image Tiling and Convolutional Neural Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
J. Chem. Inf. Model., 2021
CrepHAN: cross-species prediction of enhancers by using hierarchical attention networks.
Bioinform., 2021
Recognizing binding sites of poorly characterized RNA-binding proteins on circular RNAs using attention Siamese network.
Briefings Bioinform., 2021
When SMILES Smiles, Practicality Judgment and Yield Prediction of Chemical Reaction via Deep Chemical Language Processing.
IEEE Access, 2021
Prediction of Protein Subcellular Localization from Microscopic Images via Few-Shot Learning.
Proceedings of the Bioinformatics Research and Applications - 17th International Symposium, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
SPREAD: A Fully Automated Toolkit for Single-Particle Cryogenic Electron Microscopy Data 3D Reconstruction with Image-Network-Aided Orientation Assignment.
J. Chem. Inf. Model., 2020
AAG: Self-Supervised Representation Learning by Auxiliary Augmentation with GNT-Xent Loss.
CoRR, 2020
Artificial intelligence-based multi-objective optimization protocol for protein structure refinement.
Bioinform., 2020
ImPLoc: a multi-instance deep learning model for the prediction of protein subcellular localization based on immunohistochemistry images.
Bioinform., 2020
An Unsupervised Iterative Model for Single-Particle Cryo-EM Image Denoising Based on Siamese Neural Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Tripfly: Predicting Gene-gene Interaction of Drosophila Eye Development Using Triplet Loss.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
NiuEM: A Nested-iterative Unsupervised Learning Model for Single-particle Cryo-EM Image Processing.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
WEDeepT3: predicting type III secreted effectors based on word embedding and deep learning.
Quant. Biol., 2019
Predicting gene regulatory interactions based on spatial gene expression data and deep learning.
PLoS Comput. Biol., 2019
Clustering Enhancement of Noisy Cryo-Electron Microscopy Single-Particle Images with a Network Structural Similarity Metric.
J. Chem. Inf. Model., 2019
CoRR, 2019
AnnoFly: annotating Drosophila embryonic images based on an attention-enhanced RNN model.
Bioinform., 2019
2018
MiRGOFS: a GO-based functional similarity measurement for miRNAs, with applications to the prediction of miRNA subcellular localization and miRNA-disease association.
Bioinform., 2018
The lncLocator: a subcellular localization predictor for long non-coding RNAs based on a stacked ensemble classifier.
Bioinform., 2018
Detection of Curvilinear Structure in Images by a Multi-Centered Hough Forest Method.
IEEE Access, 2018
Line Junction Detection Without Prior-Delineation of Curvilinear Structure in Biomedical Images.
IEEE Access, 2018
Prediction of Type III Secreted Effectors Based on Word Embeddings for Protein Sequences.
Proceedings of the Bioinformatics Research and Applications - 14th International Symposium, 2018
Prediction of RNA-protein interactions with distributed feature representations and a hybrid deep model.
Proceedings of the 10th International Conference on Internet Multimedia Computing and Service, 2018
Prediction of MicroRNA Subcellular Localization by Using a Sequence-to-Sequence Model.
Proceedings of the IEEE International Conference on Data Mining, 2018
HMIML: Hierarchical Multi-Instance Multi-Label Learning of Drosophila Embryogenesis Images Using Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
IterVM: An Iterative Model for Single-Particle Cryo-EM Image Clustering Based on Variational Autoencoder and Multi-Reference Alignment.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
MiRFFS: a functional group-based feature selection method for the identification of microRNA biomarkers.
Int. J. Data Min. Bioinform., 2017
A clustering-based approach for efficient identification of microRNA combinatorial biomarkers.
BMC Genom., 2017
Hum-mPLoc 3.0: prediction enhancement of human protein subcellular localization through modeling the hidden correlations of gene ontology and functional domain features.
Bioinform., 2017
Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017
Deep Learning-Based Classification of Protein Subcellular Localization from Immunohistochemistry Images.
Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017
2016
Missing value imputation for microRNA expression data by using a GO-based similarity measure.
BMC Bioinform., 2016
A New Subcellular Localization Predictor for Human Proteins Considering the Correlation of Annotation Features and Protein Multi-localization.
Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016
Feature selection based on functional group structure for microRNA expression data analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
2015
Proceedings of the Natural Language Processing and Chinese Computing - 4th CCF Conference, 2015
2014
A new feature selection method for computational prediction of type III secreted effectors.
Int. J. Data Min. Bioinform., 2014
Integrating Gene Expression and Protein Interaction Data for Signaling Pathway Prediction of Alzheimer's Disease.
Comput. Math. Methods Medicine, 2014
Dynamic Regulatory Network Reconstruction for Alzheimer's Disease Based on Matrix Decomposition Techniques.
Comput. Math. Methods Medicine, 2014
2012
Comput. Math. Methods Medicine, 2012
2011
Feature Reduction Using a Topic Model for the Prediction of Type III Secreted Effectors.
Proceedings of the Neural Information Processing - 18th International Conference, 2011
A comparative study on sequence feature extraction for type III secreted effector prediction.
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011
2010
Protein Subcellular Multi-Localization Prediction Using a Min-Max Modular Support Vector Machine.
Int. J. Neural Syst., 2010
BMC Bioinform., 2010
2009
BMC Bioinform., 2009
2008
Proceedings of the 6th Asia-Pacific Bioinformatics Conference, 2008
2007
Incorporating Domain Knowledge into a Min-Max Modular Support Vector Machine for Protein Subcellular Localization.
Proceedings of the Neural Information Processing, 14th International Conference, 2007
2006
Prediction of Protein Subcellular Multi-locations with a Min-Max Modular Support Vector Machine.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
A Comparative Study on Feature Extraction from Protein Sequences for Subcellular Localization Prediction.
Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2006
2005
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Extracting Features from Protein Sequences Using Chinese Segmentation Techniques for Subcellular Localization.
Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005