Zhiwu Lu

According to our database1, Zhiwu Lu authored at least 78 papers between 2005 and 2019.

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

Timeline

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Bibliography

2019
Multi-Modal Multi-Scale Deep Learning for Large-Scale Image Annotation.
IEEE Trans. Image Processing, 2019

Cross-domain mapping learning for transductive zero-shot learning.
Computer Vision and Image Understanding, 2019

Coarse-to-Fine Grained Classification.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Joint Projection and Subspace Learning for Zero-Shot Recognition.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Zero-Shot Learning with Few Seen Class Samples.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

RUM: Network Representation Learning Using Motifs.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018
Large-Scale Sparse Learning From Noisy Tags for Semantic Segmentation.
IEEE Trans. Cybernetics, 2018

Domain-Invariant Projection Learning for Zero-Shot Recognition.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

InsightGAN: Semi-Supervised Feature Learning with Generative Adversarial Network for Drug Abuse Detection.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Zero-Shot Learning with Superclasses.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

DeepInsight: Multi-Task Multi-Scale Deep Learning for Mental Disorder Diagnosis.
Proceedings of the British Machine Vision Conference 2018, 2018

Extreme Reverse Projection Learning for Zero-Shot Recognition.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Zero-Shot Scene Classification for High Spatial Resolution Remote Sensing Images.
IEEE Trans. Geoscience and Remote Sensing, 2017

Multi-instance dictionary learning via multivariate performance measure optimization.
Pattern Recognition, 2017

Learning from Weak and Noisy Labels for Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Graph-boosted convolutional neural networks for semantic segmentation.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

FeaBoost: Joint Feature and Label Refinement for Semantic Segmentation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Image classification by visual bag-of-words refinement and reduction.
Neurocomputing, 2016

CMsearch: simultaneous exploration of protein sequence space and structure space improves not only protein homology detection but also protein structure prediction.
Bioinformatics, 2016

Large Scale Sparse Clustering.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Segmentation with Selectively Propagated Constraints.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015
Semantic Sparse Recoding of Visual Content for Image Applications.
IEEE Trans. Image Processing, 2015

Noise-robust semi-supervised learning via fast sparse coding.
Pattern Recognition, 2015

Learning descriptive visual representation for image classification and annotation.
Pattern Recognition, 2015

Local similarity learning for pairwise constraint propagation.
Multimedia Tools Appl., 2015

Community Based Spammer Detection in Social Networks.
Proceedings of the Web-Age Information Management - 16th International Conference, 2015

Weakly Supervised Matrix Factorization for Noisily Tagged Image Parsing.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Social Image Parsing by Cross-Modal Data Refinement.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Noise-Robust Semi-Supervised Learning by Large-Scale Sparse Coding.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Spatial temporal pyramid matching using temporal sparse representation for human motion retrieval.
The Visual Computer, 2014

Graph-based multimodal semi-supervised image classification.
Neurocomputing, 2014

Direct Semantic Analysis for Social Image Classification.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Latent semantic learning with structured sparse representation for human action recognition.
Pattern Recognition, 2013

L1-graph construction using structured sparsity.
Neurocomputing, 2013

Exhaustive and Efficient Constraint Propagation: A Graph-Based Learning Approach and Its Applications.
International Journal of Computer Vision, 2013

Learning Descriptive Visual Representation by Semantic Regularized Matrix Factorization.
Proceedings of the IJCAI 2013, 2013

Multimodal semi-supervised image classification by combining tag refinement, graph-based learning and support vector regression.
Proceedings of the IEEE International Conference on Image Processing, 2013

Unified Constraint Propagation on Multi-View Data.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Image annotation by semantic sparse recoding of visual content.
Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Modalities consensus for multi-modal constraint propagation.
Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Heterogeneous Constraint Propagation with Constrained Sparse Representation.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2011
Automatic Image Annotation Based on Generalized Relevance Models.
Signal Processing Systems, 2011

Spatial Markov Kernels for Image Categorization and Annotation.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2011

Contextual Kernel and Spectral Methods for Learning the Semantics of Images.
IEEE Trans. Image Processing, 2011

Combining multiple clusterings using fast simulated annealing.
Pattern Recognition Letters, 2011

Combining latent semantic learning and reduced hypergraph learning for semi-supervised image categorization.
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Multi-modal constraint propagation for heterogeneous image clustering.
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Spectral learning of latent semantics for action recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Latent Semantic Learning by Efficient Sparse Coding with Hypergraph Regularization.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Symmetric Graph Regularized Constraint Propagation.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Combining Context, Consistency, and Diversity Cues for Interactive Image Categorization.
IEEE Trans. Multimedia, 2010

Gaussian mixture learning via robust competitive agglomeration.
Pattern Recognition Letters, 2010

Image categorization via robust pLSA.
Pattern Recognition Letters, 2010

Action Recognition Based on Learnt Motion Semantic Vocabulary.
Proceedings of the Advances in Multimedia Information Processing - PCM 2010, 2010

Constrained Spectral Clustering via Exhaustive and Efficient Constraint Propagation.
Proceedings of the Computer Vision - ECCV 2010, 2010

2009
Generalized Competitive Learning of Gaussian Mixture Models.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2009

Generalized Relevance Models for Automatic Image Annotation.
Proceedings of the Advances in Multimedia Information Processing, 2009

Semantic concept annotation based on audio PLSA model.
Proceedings of the 17th International Conference on Multimedia 2009, 2009

Image categorization by learning with context and consistency.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Image categorization with spatial mismatch kernels.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Context-based multi-label image annotation.
Proceedings of the 8th ACM International Conference on Image and Video Retrieval, 2009

View topics: automatically generated characteristic view for content-based 3D object retrieval.
Proceedings of the 8th ACM International Conference on Image and Video Retrieval, 2009

Image Categorization Based on a Hierarchical Spatial Markov Model.
Proceedings of the Computer Analysis of Images and Patterns, 13th International Conference, 2009

2008
A Semi-supervised Learning Algorithm on Gaussian Mixture with Automatic Model Selection.
Neural Processing Letters, 2008

Unsupervised learning of finite mixtures using entropy regularization and its application to image segmentation.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

From Comparing Clusterings to Combining Clusterings.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
Entropy Regularized Likelihood Learning on Gaussian Mixture: Two Gradient Implementations for Automatic Model Selection.
Neural Processing Letters, 2007

Entropy Regularization, Automatic Model Selection, and Unsupervised Image Segmentation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Unsupervised Image Categorization Using Constrained Entropy-Regularized Likelihood Learning with Pairwise Constraints.
Proceedings of the Advances in Neural Networks, 2007

Asymptotic Convergence Properties of Entropy Regularized Likelihood Learning on Finite Mixtures with Automatic Model Selection.
Proceedings of the Advances in Neural Networks, 2007

2006
A regularized minimum cross-entropy algorithm on mixtures of experts for time series prediction and curve detection.
Pattern Recognition Letters, 2006

An iterative algorithm for entropy regularized likelihood learning on Gaussian mixture with automatic model selection.
Neurocomputing, 2006

A Generalized Competitive Learning Algorithm on Gaussian Mixture with Automatic Model Selection.
Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006

A Publishing Framework for Digitally Augmented Paper Documents: Towards Cross-Media Information Integration.
Proceedings of the Advances in Multimedia Information Processing, 2006

A Gradient Entropy Regularized Likelihood Learning Algorithm on Gaussian Mixture with Automatic Model Selection.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

A Regularized Minimum Cross-Entropy Algorithm on Mixtures of Experts for Time Series Prediction.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Unsupervised Image Segmentation Using an Iterative Entropy Regularized Likelihood Learning Algorithm.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

2005
A Gradient BYY Harmony Learning Algorithm on Mixture of Experts for Curve Detection.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2005


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