List of works - Ivor Wai-Hung Tsang

A Hybrid PSO-BFGS Strategy for Global Optimization of Multimodal Functions

scientific article

A class of single-class minimax probability machines for novelty detection.

scientific article published in May 2007

A feature selection method for multivariate performance measures

scientific article published in September 2013

An evolutionary search paradigm that learns with past experiences

scientific article published in June 2012

Automatic image tagging via category label and web data

scientific article published in 2010

Co-Labeling for Multi-View Weakly Labeled Learning

scientific article published on 4 September 2015

Co-labeling: A New Multi-view Learning Approach for Ambiguous Problems

scientific article published in December 2012

Combating Negative Transfer From Predictive Distribution Differences

scientific article published in August 2013

Concurrent Single-Label Image Classification and Annotation via Efficient Multi-Layer Group Sparse Coding

scientific article published in April 2014

Defragging Subgraph Features for Graph Classification

scientific article published in 2015

Discovering User Interests from Social Images

scientific article published on 31 December 2016

Discovering low-rank shared concept space for adapting text mining models

scientific article published on June 2013

Domain Adaptation From Multiple Sources: A Domain-Dependent Regularization Approach

scientific article published on 01 March 2012

Domain Adaption via Feature Selection on Explicit Feature Map

scientific article published in 2018

Domain adaptation via transfer component analysis.

scientific article

Domain transfer multiple kernel learning.

scientific article published in March 2012

Efficient hyperkernel learning using second-order cone programming.

scientific article published in January 2006

Efficient multitemplate learning for structured prediction

scientific article published in February 2013

Efficient optimization of performance measures by classifier adaptation.

scientific article published in June 2013

Error Correcting Input and Output Hashing

scientific article published in March 2019

Exploratory analysis of cell-based screening data for phenotype identification in drug-siRNA study.

scientific article published on 28 June 2011

Extracting discriminative concepts for domain adaptation in text mining

Fast and Low Memory Cost Matrix Factorization: Algorithm, Analysis and Case Study

scientific article published in 2018

Feature Disentangling Machine - A Novel Approach of Feature Selection and Disentangling in Facial Expression Analysis

scientific article published in 2014

Feature Weighting via Optimal Thresholding for Video Analysis

scientific article published in December 2013

Flexible manifold embedding: a framework for semi-supervised and unsupervised dimension reduction

scientific article

Fusing images with different focuses using support vector machines.

scientific article published in November 2004

Generalized core vector machines.

scientific article published in September 2006

Generalized multiple kernel learning with data-dependent priors

scientific article published on 25 July 2014

Healing Sample Selection Bias by Source Classifier Selection

scientific article published in December 2011

Hyperspectral Imagery Classification via Stochastic HHSVMs

scientific article published in February 2019

Improving Web image search by bag-based reranking

scientific article published on 09 June 2011

Incorporating the loss function into discriminative clustering of structured outputs.

scientific article published on 23 August 2010

Incremental Subgraph Feature Selection for Graph Classification

scientific article published in January 2017

Kernel Sparse Representation for Image Classification and Face Recognition

scientific article published in 2010

Laplacian embedded regression for scalable manifold regularization.

scientific article published in June 2012

Laplacian sparse coding, Hypergraph Laplacian sparse coding, and applications

scientific article published in January 2013

Large-scale maximum margin discriminant analysis using core vector machines

scientific article published in April 2008

Late Fusion via Subspace Search With Consistency Preservation

scientific article published in January 2019

Learning Category-Specific Dictionary and Shared Dictionary for Fine-Grained Image Categorization

scientific article published on 12 November 2013

Learning Target Predictive Function without Target Labels

scientific article published in December 2012

Learning With Augmented Features for Supervised and Semi-Supervised Heterogeneous Domain Adaptation

scientific article published on June 2014

Linear dependency between /spl epsi/ and the input noise in /spl epsi/-support vector regression.

scientific article published in January 2003

Local features are not lonely – Laplacian sparse coding for image classification

scientific article published in June 2010

Location and Scatter Matching for Dataset Shift in Text Mining

Making Trillion Correlations Feasible in Feature Grouping and Selection

scientific article published on December 2016

Maximum margin clustering made practical

scientific article published on 6 March 2009

MetaRepair: Learning to Repair Deep Neural Networks from Repairing Experiences

scientific article published on 26 October 2024

Metric Learning for Multi-Output Tasks

scientific article published in February 2019

Minimax sparse logistic regression for very high-dimensional feature selection

scientific article published in October 2013

Multi-instance dictionary learning via multivariate performance measure optimization

scientific article published in June 2017

Multi-layer group sparse coding — For concurrent image classification and annotation

scientific article published in June 2011

Multilabel Prediction via Cross-View Search

scientific article published in September 2018

Objective-guided image annotation

scientific article published on 11 December 2012

Objects co-segmentation: Propagated from simpler images

scientific article published in April 2015

Online Heterogeneous Transfer by Hedge Ensemble of Offline and Online Decisions

scientific article published on 10 October 2017

Online Product Quantization

scientific article published in 2018

Optimizing Performance Measures for Feature Selection

scientific article published in December 2011

Partial Hash Update via Hamming Subspace Learning

scientific article published on March 2017

Principal Graph and Structure Learning Based on Reversed Graph Embedding

scientific article published on 5 December 2016

Progressive Stochastic Learning for Noisy Labels

scientific article published in October 2018

Region-Based Saliency Detection and Its Application in Object Recognition

scientific article published in May 2014

SVDD-based pattern denoising

scientific article published in July 2007

Soft margin multiple kernel learning

scientific article published in May 2013

Sparse representation with kernels

scientific article published on 21 September 2012

Spectral embedded clustering: a framework for in-sample and out-of-sample spectral clustering

scientific article

Spectral embedded hashing for scalable image retrieval

scientific article published in July 2014

Text-based image retrieval using progressive multi-instance learning

scientific article published in November 2011

Textual query of personal photos facilitated by large-scale web data

scientific article published in May 2011

The pre-image problem in kernel methods.

scientific article published in November 2004

Towards the Learning of Weighted Multi-label Associative Classifiers

scientific article published in July 2018

Transductive ordinal regression

scientific article published in July 2012

Transfer ordinal label learning

scientific article published in November 2013

Understanding Deep Representations Learned in Modeling Users Likes

scientific article published on 07 June 2016

VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning

scientific article published in 2018

Visual event recognition in videos by learning from Web data

scientific article

List of works by Ivor Wai-Hung Tsang

A Hybrid PSO-BFGS Strategy for Global Optimization of Multimodal Functions

A class of single-class minimax probability machines for novelty detection.

A feature selection method for multivariate performance measures

An evolutionary search paradigm that learns with past experiences

Automatic image tagging via category label and web data

Co-Labeling for Multi-View Weakly Labeled Learning

Co-labeling: A New Multi-view Learning Approach for Ambiguous Problems

Combating Negative Transfer From Predictive Distribution Differences

Concurrent Single-Label Image Classification and Annotation via Efficient Multi-Layer Group Sparse Coding

Defragging Subgraph Features for Graph Classification

Discovering User Interests from Social Images

Discovering low-rank shared concept space for adapting text mining models

Domain Adaptation From Multiple Sources: A Domain-Dependent Regularization Approach

Domain Adaption via Feature Selection on Explicit Feature Map

Domain adaptation via transfer component analysis.

Domain transfer multiple kernel learning.

Efficient hyperkernel learning using second-order cone programming.

Efficient multitemplate learning for structured prediction

Efficient optimization of performance measures by classifier adaptation.

Error Correcting Input and Output Hashing

Exploratory analysis of cell-based screening data for phenotype identification in drug-siRNA study.

Extracting discriminative concepts for domain adaptation in text mining

Fast and Low Memory Cost Matrix Factorization: Algorithm, Analysis and Case Study

Feature Disentangling Machine - A Novel Approach of Feature Selection and Disentangling in Facial Expression Analysis

Feature Weighting via Optimal Thresholding for Video Analysis

Flexible manifold embedding: a framework for semi-supervised and unsupervised dimension reduction

Fusing images with different focuses using support vector machines.

Generalized core vector machines.

Generalized multiple kernel learning with data-dependent priors

Healing Sample Selection Bias by Source Classifier Selection

Hyperspectral Imagery Classification via Stochastic HHSVMs

Improving Web image search by bag-based reranking

Incorporating the loss function into discriminative clustering of structured outputs.

Incremental Subgraph Feature Selection for Graph Classification

Kernel Sparse Representation for Image Classification and Face Recognition

Laplacian embedded regression for scalable manifold regularization.

Laplacian sparse coding, Hypergraph Laplacian sparse coding, and applications

Large-scale maximum margin discriminant analysis using core vector machines

Late Fusion via Subspace Search With Consistency Preservation

Learning Category-Specific Dictionary and Shared Dictionary for Fine-Grained Image Categorization

Learning Target Predictive Function without Target Labels

Learning With Augmented Features for Supervised and Semi-Supervised Heterogeneous Domain Adaptation

Linear dependency between /spl epsi/ and the input noise in /spl epsi/-support vector regression.

Local features are not lonely – Laplacian sparse coding for image classification

Location and Scatter Matching for Dataset Shift in Text Mining

Making Trillion Correlations Feasible in Feature Grouping and Selection

Maximum margin clustering made practical

MetaRepair: Learning to Repair Deep Neural Networks from Repairing Experiences

Metric Learning for Multi-Output Tasks

Minimax sparse logistic regression for very high-dimensional feature selection

Multi-instance dictionary learning via multivariate performance measure optimization

Multi-layer group sparse coding — For concurrent image classification and annotation

Multilabel Prediction via Cross-View Search

Objective-guided image annotation

Objects co-segmentation: Propagated from simpler images

Online Heterogeneous Transfer by Hedge Ensemble of Offline and Online Decisions

Online Product Quantization

Optimizing Performance Measures for Feature Selection

Partial Hash Update via Hamming Subspace Learning

Principal Graph and Structure Learning Based on Reversed Graph Embedding

Progressive Stochastic Learning for Noisy Labels

Region-Based Saliency Detection and Its Application in Object Recognition

SVDD-based pattern denoising

Soft margin multiple kernel learning

Sparse representation with kernels

Spectral embedded clustering: a framework for in-sample and out-of-sample spectral clustering

Spectral embedded hashing for scalable image retrieval

Text-based image retrieval using progressive multi-instance learning

Textual query of personal photos facilitated by large-scale web data

The pre-image problem in kernel methods.

Towards the Learning of Weighted Multi-label Associative Classifiers

Transductive ordinal regression

Transfer ordinal label learning

Understanding Deep Representations Learned in Modeling Users Likes

VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning

Visual event recognition in videos by learning from Web data