Bin Shen

Affiliations:
  • Google New York, NY, USA
  • Purdue University, Department of Computer Science, West Lafayette, IN, USA (PhD 2014)
  • Tsinghua University, Department of Electronic Engineering, TNList, Beijing, China (former)


According to our database1, Bin Shen authored at least 41 papers between 2008 and 2022.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2022
Deep Partial Multiplex Network Embedding.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

2020
DART: Domain-Adversarial Residual-Transfer networks for unsupervised cross-domain image classification.
Neural Networks, 2020

2018
Ranking-Preserving Low-Rank Factorization for Image Annotation With Missing Labels.
IEEE Trans. Multim., 2018

Collaborative Memory Network for Recommendation Systems.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

2017
Class specific centralized dictionary learning for face recognition.
Multim. Tools Appl., 2017

Instance-Level Label Propagation with Multi-Instance Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
A Locality Sensitive Low-Rank Model for Image Tag Completion.
IEEE Trans. Multim., 2016

Short-Term Traffic Prediction Based on Dynamic Tensor Completion.
IEEE Trans. Intell. Transp. Syst., 2016

Elastic net regularized dictionary learning for image classification.
Multim. Tools Appl., 2016

Blockwise coordinate descent schemes for efficient and effective dictionary learning.
Neurocomputing, 2016

Face recognition using class specific dictionary learning for sparse representation and collaborative representation.
Neurocomputing, 2016

Low-rank image tag completion with dual reconstruction structure preserved.
Neurocomputing, 2016

Tag recommendation via robust probabilistic discriminative matrix factorization.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Class specific discriminant dictionary learning with kernels for face recognition.
Proceedings of the Imaging and Multimedia Analytics in a Web and Mobile World 2016, 2016

One-Class Maximum Margin Matrix Factorization.
Proceedings of the Imaging and Multimedia Analytics in a Web and Mobile World 2016, 2016

2015
Learning to Hash on Partial Multi-Modal Data.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Locality sensitive dictionary learning for image classification.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

A Locality Preserving Approach for Kernel PCA.
Proceedings of the Image and Graphics - 8th International Conference, 2015

Nystrom Approximation for Sparse Kernel Methods: Theoretical Analysis and Empirical Evaluation.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Learning to Hash on Structured Data.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

SP-SVM: Large Margin Classifier for Data on Multiple Manifolds.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Hierarchical Semi-Supervised Factorization for Learning the Semantics.
J. Adv. Comput. Intell. Intell. Informatics, 2014

Class specific dictionary learning for face recognition.
Proceedings of the Proceedings IEEE International Conference on Security, 2014

Class specific subspace learning for collaborative representation.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Kernel tapering: A simple and effective approach to sparse kernels for image processing.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Robust nonnegative matrix factorization via L1 norm regularization by multiplicative updating rules.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

TISVM: Large margin classifier for misaligned image classification.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Image tag completion by low-rank factorization with dual reconstruction structure preserved.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Blockwise coordinate descent schemes for sparse representation.
Proceedings of the IEEE International Conference on Acoustics, 2014

Binary Codes Embedding for Fast Image Tagging with Incomplete Labels.
Proceedings of the Computer Vision - ECCV 2014, 2014

Self-explanatory Sparse Representation for Image Classification.
Proceedings of the Computer Vision - ECCV 2014, 2014

Sparse Semantic Hashing for Efficient Large Scale Similarity Search.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Learning dictionary on manifolds for image classification.
Pattern Recognit., 2013

Self-Explanatory Convex Sparse Representation for Image Classification.
Proceedings of the IEEE International Conference on Systems, 2013

2012
Robust Nonnegative Matrix Factorization via L<sub>1</sub> Norm Regularization
CoRR, 2012

Semisupervised Nonnegative Matrix Factorization for learning the semantics.
Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012

2011
Forecasting counts of user visits for online display advertising with probabilistic latent class models.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

2010
Non-Negative Matrix Factorization Clustering on Multiple Manifolds.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Foreground Segmentation via Sparse Representation.
Proceedings of the IEEE International Conference on Systems, 2009

Image inpainting via sparse representation.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Automatic coefficient selection in Weighted Maximum Margin Criterion.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008


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