Shiliang Sun

Orcid: 0000-0001-7069-3752

According to our database1, Shiliang Sun authored at least 255 papers between 2004 and 2024.

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Bibliography

2024
Efficient Multiview Representation Learning With Correntropy and Anchor Graph.
IEEE Trans. Knowl. Data Eng., September, 2024

HWLane: HW-Transformer for Lane Detection.
IEEE Trans. Intell. Transp. Syst., August, 2024

Incomplete Multiview Nonnegative Representation Learning With Graph Completion and Adaptive Neighbors.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

VirPNet: A Multimodal Virtual Point Generation Network for 3D Object Detection.
IEEE Trans. Multim., 2024

PAMK: Prototype Augmented Multi-Teacher Knowledge Transfer Network for Continual Zero-Shot Learning.
IEEE Trans. Image Process., 2024

Reward-free offline reinforcement learning: Optimizing behavior policy via action exploration.
Knowl. Based Syst., 2024

Enhancing multi-modal fusion in visual dialog via sample debiasing and feature interaction.
Inf. Fusion, 2024

Deconfounded multi-organ weakly-supervised semantic segmentation via causal intervention.
Inf. Fusion, 2024

CauDiTS: Causal Disentangled Domain Adaptation of Multivariate Time Series.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

CaMIL: Causal Multiple Instance Learning for Whole Slide Image Classification.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Discriminatively Fuzzy Multi-View K-means Clustering with Local Structure Preserving.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Multi-View Deep Gaussian Processes for Supervised Learning.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Knowledge graph relation reasoning with variational reinforcement network.
Inf. Fusion, December, 2023

Effective sample pairs based contrastive learning for clustering.
Inf. Fusion, November, 2023

BGNN-XML: Bilateral Graph Neural Networks for Extreme Multi-Label Text Classification.
IEEE Trans. Knowl. Data Eng., July, 2023

Safe batch constrained deep reinforcement learning with generative adversarial network.
Inf. Sci., July, 2023

Fair Transfer Learning with Factor Variational Auto-Encoder.
Neural Process. Lett., June, 2023

Concept Drift Adaptation for Time Series Anomaly Detection via Transformer.
Neural Process. Lett., June, 2023

Editorial: Special Issue on Transfer Learning.
Neural Process. Lett., June, 2023

Multiview Unsupervised Shapelet Learning for Multivariate Time Series Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Variational Hybrid Monte Carlo for Efficient Multi-Modal Data Sampling.
Entropy, April, 2023

Incomplete Multi-View Clustering With Reconstructed Views.
IEEE Trans. Knowl. Data Eng., March, 2023

A multi-view deep learning model for pathology image diagnosis.
Appl. Intell., March, 2023

Multi-view Collaborative Gaussian Process Dynamical Systems.
J. Mach. Learn. Res., 2023

Deep multi-view multiclass twin support vector machines.
Inf. Fusion, 2023

Multi-modal policy fusion for end-to-end autonomous driving.
Inf. Fusion, 2023

MST-GAT: A multimodal spatial-temporal graph attention network for time series anomaly detection.
Inf. Fusion, 2023

Effective Domain Adaptation for Robust Dysarthric Speech Recognition.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

McOmet: Multimodal Fusion Transformer for Physical Audiovisual Commonsense Reasoning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Structured BFGS Method for Optimal Doubly Stochastic Matrix Approximation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

CP-Rec: Contextual Prompting for Conversational Recommender Systems.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Conditional Random Fields for Multiview Sequential Data Modeling.
IEEE Trans. Neural Networks Learn. Syst., 2022

MFIALane: Multiscale Feature Information Aggregator Network for Lane Detection.
IEEE Trans. Intell. Transp. Syst., 2022

Multiview Graph Restricted Boltzmann Machines.
IEEE Trans. Cybern., 2022

Incomplete multiview nonnegative representation learning with multiple graphs.
Pattern Recognit., 2022

Incomplete multi-view clustering with cosine similarity.
Pattern Recognit., 2022

Multi-view multi-label active learning with conditional Bernoulli mixtures.
Int. J. Mach. Learn. Cybern., 2022

Stability-based PAC-Bayes analysis for multi-view learning algorithms.
Inf. Fusion, 2022

Anchor-based incomplete multi-view spectral clustering.
Neurocomputing, 2022

Adversarially Training MCMC with Non-Volume-Preserving Flows.
Entropy, 2022

FE-DaST: Fast and effective data-free substitute training for black-box adversarial attacks.
Comput. Secur., 2022

Editorial: special issue on multi-view learning.
Appl. Intell., 2022

Safe Offline Reinforcement Learning Through Hierarchical Policies.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Diverse Machine Translation with Translation Memory.
Proceedings of the International Joint Conference on Neural Networks, 2022

Robust Cross-Modal Retrieval by Adversarial Training.
Proceedings of the International Joint Conference on Neural Networks, 2022

Multi-Modal Adversarial Example Detection with Transformer.
Proceedings of the International Joint Conference on Neural Networks, 2022

TiRGN: Time-Guided Recurrent Graph Network with Local-Global Historical Patterns for Temporal Knowledge Graph Reasoning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Enhancing Unsupervised Domain Adaptation via Semantic Similarity Constraint for Medical Image Segmentation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Natural Black-Box Adversarial Examples against Deep Reinforcement Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Multi-Kernel Online Reinforcement Learning for Path Tracking Control of Intelligent Vehicles.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Multiview Variational Sparse Gaussian Processes.
IEEE Trans. Neural Networks Learn. Syst., 2021

DetexNet: Accurately Diagnosing Frequent and Challenging Pediatric Malignant Tumors.
IEEE Trans. Medical Imaging, 2021

A Survey on Multiview Clustering.
IEEE Trans. Artif. Intell., 2021

LCBM: A Multi-View Probabilistic Model for Multi-Label Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Multi-View Representation Learning With Deep Gaussian Processes.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Stick-Breaking Dependent Beta Processes with Variational Inference.
Neural Process. Lett., 2021

RL-VAEGAN: Adversarial defense for reinforcement learning agents via style transfer.
Knowl. Based Syst., 2021

Multi-view Gaussian processes with posterior consistency.
Inf. Sci., 2021

Variational multimodal machine translation with underlying semantic alignment.
Inf. Fusion, 2021

Alpha-divergence minimization with mixed variational posterior for Bayesian neural networks and its robustness against adversarial examples.
Neurocomputing, 2021

Variational Beta Process Hidden Markov Models with Shared Hidden States for Trajectory Recognition.
Entropy, 2021

Adversarial robustness and attacks for multi-view deep models.
Eng. Appl. Artif. Intell., 2021

Knowledge-Based Conversational Recommender Systems Enhanced by Dialogue Policy Learning.
Proceedings of the IJCKG'21: The 10th International Joint Conference on Knowledge Graphs, Virtual Event, Thailand, December 6, 2021

Multi-view Defense with Adversarial Autoencoders.
Proceedings of the International Joint Conference on Neural Networks, 2021

Resilient Abstractive Summarization Model with Adaptively Weighted Training Loss.
Proceedings of the International Joint Conference on Neural Networks, 2021

SagaNet: A Small Sample Gated Network for Pediatric Cancer Diagnosis.
Proceedings of the 38th International Conference on Machine Learning, 2021

A Sequential Contrastive Learning Framework for Robust Dysarthric Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2021

Multi-Task Transformer with Input Feature Reconstruction for Dysarthric Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2021

Image-Assisted Transformer in Zero-Resource Multi-Modal Translation.
Proceedings of the IEEE International Conference on Acoustics, 2021

ASHF-Net: Adaptive Sampling and Hierarchical Folding Network for Robust Point Cloud Completion.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Multiview Uncorrelated Locality Preserving Projection.
IEEE Trans. Neural Networks Learn. Syst., 2020

Multi-View Support Vector Machines with the Consensus and Complementarity Information.
IEEE Trans. Knowl. Data Eng., 2020

A Survey of Optimization Methods From a Machine Learning Perspective.
IEEE Trans. Cybern., 2020

Decomposed slice sampling for factorized distributions.
Pattern Recognit., 2020

Attentive multi-view reinforcement learning.
Int. J. Mach. Learn. Cybern., 2020

Promoting active learning with mixtures of Gaussian processes.
Knowl. Based Syst., 2020

Multiview learning with variational mixtures of Gaussian processes.
Knowl. Based Syst., 2020

Hybrid neural conditional random fields for multi-view sequence labeling.
Knowl. Based Syst., 2020

General multi-view semi-supervised least squares support vector machines with multi-manifold regularization.
Inf. Fusion, 2020

Probabilistic inference of Bayesian neural networks with generalized expectation propagation.
Neurocomputing, 2020

Online anomaly detection with sparse Gaussian processes.
Neurocomputing, 2020

Policy-based reinforcement learning for time series anomaly detection.
Eng. Appl. Artif. Intell., 2020

GNN-XML: Graph Neural Networks for Extreme Multi-label Text Classification.
CoRR, 2020

Adversarial Attacks for Multi-view Deep Models.
CoRR, 2020

Neural Langevin Dynamical Sampling.
IEEE Access, 2020

HW-TSC's Participation at WMT 2020 Automatic Post Editing Shared Task.
Proceedings of the Fifth Conference on Machine Translation, 2020

HW-TSC's Participation in the WMT 2020 News Translation Shared Task.
Proceedings of the Fifth Conference on Machine Translation, 2020

HW-TSC's Participation at WMT 2020 Quality Estimation Shared Task.
Proceedings of the Fifth Conference on Machine Translation, 2020

System Report of HW-TSC on the CAPITEL NER Evaluation.
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2020) co-located with 36th Conference of the Spanish Society for Natural Language Processing (SEPLN 2020), 2020

Multi-view Deep Gaussian Process with a Pre-training Acceleration Technique.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Semismooth Newton Algorithm for Efficient Projections onto ℓ<sub>1, ∞</sub>-norm Ball.
Proceedings of the 37th International Conference on Machine Learning, 2020

Unified Humor Detection Based on Sentence-pair Augmentation and Transfer Learning.
Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, 2020

Bayesian Adversarial Attack on Graph Neural Networks (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Multi-View Deep Attention Network for Reinforcement Learning (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
An Accelerated Linearly Convergent Stochastic L-BFGS Algorithm.
IEEE Trans. Neural Networks Learn. Syst., 2019

Guest Editorial: Special Issue on New Advances in Deep-Transfer Learning.
IEEE Trans. Emerg. Top. Comput. Intell., 2019

Multiview Learning With Generalized Eigenvalue Proximal Support Vector Machines.
IEEE Trans. Cybern., 2019

Multi-view Opinion Mining with Deep Learning.
Neural Process. Lett., 2019

Multi-view learning for visual violence recognition with maximum entropy discrimination and deep features.
Inf. Fusion, 2019

Semi-supervised multi-view maximum entropy discrimination with expectation Laplacian regularization.
Inf. Fusion, 2019

General multi-view learning with maximum entropy discrimination.
Neurocomputing, 2019

Generalizing expectation propagation with mixtures of exponential family distributions and an application to Bayesian logistic regression.
Neurocomputing, 2019

Dynamical Sampling with Langevin Normalization Flows.
Entropy, 2019

Adversarial Attack with Pattern Replacement.
CoRR, 2019

A Variant of Gaussian Process Dynamical Systems.
CoRR, 2019

Variational Langevin Hamiltonian Monte Carlo for Distant Multi-modal Sampling.
CoRR, 2019

Online Anomaly Detection with Sparse Gaussian Processes.
CoRR, 2019

A Conditional Random Fields Based Framework for Multiview Sequential Data Modeling.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Joint Type Inference on Entities and Relations via Graph Convolutional Networks.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Multiview Machine Learning
Springer, ISBN: 978-981-13-3028-5, 2019

2018
Domain Adaptation with Twin Support Vector Machines.
Neural Process. Lett., 2018

Network-Scale Traffic Modeling and Forecasting with Graphical Lasso and Neural Networks.
CoRR, 2018

Multi-view Learning and Deep Learning for Microscopic Neuroblastoma Pathology Image Diagnosis.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Multi-label Active Learning with Conditional Bernoulli Mixtures.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

PAC-Bayes bounds for stable algorithms with instance-dependent priors.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Intelligent Educational Data Analysis with Gaussian Processes.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Multi-view Deep Gaussian Processes.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Active Learning Methods with Deep Gaussian Processes.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Extracting Entities and Relations with Joint Minimum Risk Training.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Editorial: A Successful Year and Looking Forward to 2017 and Beyond.
IEEE Trans. Neural Networks Learn. Syst., 2017

Nonparametric Sparse Matrix Decomposition for Cross-View Dimensionality Reduction.
IEEE Trans. Multim., 2017

Manifold Partition Discriminant Analysis.
IEEE Trans. Cybern., 2017

Multi-view learning overview: Recent progress and new challenges.
Inf. Fusion, 2017

PAC-Bayes analysis of multi-view learning.
Inf. Fusion, 2017

A review of natural language processing techniques for opinion mining systems.
Inf. Fusion, 2017

PAC-Bayes bounds for twin support vector machines.
Neurocomputing, 2017

A Survey on Multi-View Clustering.
CoRR, 2017

Multi-view Regularized Gaussian Processes.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

A Learning Error Analysis for Structured Prediction with Approximate Inference.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Location Dependent Dirichlet Processes.
Proceedings of the Intelligence Science and Big Data Engineering, 2017

Sparse Multimodal Gaussian Processes.
Proceedings of the Intelligence Science and Big Data Engineering, 2017

Variational Mixtures of Gaussian Processes for Classification.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Educational and Non-educational Text Classification Based on Deep Gaussian Processes.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Variational hidden conditional random fields with beta processes.
Proceedings of the 13th International Conference on Natural Computation, 2017

Large-scale Opinion Relation Extraction with Distantly Supervised Neural Network.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016
Semisupervised Support Vector Machines With Tangent Space Intrinsic Manifold Regularization.
IEEE Trans. Neural Networks Learn. Syst., 2016

Alternative Multiview Maximum Entropy Discrimination.
IEEE Trans. Neural Networks Learn. Syst., 2016

High-Order Gaussian Process Dynamical Models for Traffic Flow Prediction.
IEEE Trans. Intell. Transp. Syst., 2016

Multiview Uncorrelated Discriminant Analysis.
IEEE Trans. Cybern., 2016

Local Tangent Space Discriminant Analysis.
Neural Process. Lett., 2016

Variational Dependent Multi-output Gaussian Process Dynamical Systems.
J. Mach. Learn. Res., 2016

Consensus and complementarity based maximum entropy discrimination for multi-view classification.
Inf. Sci., 2016

Multi-kernel maximum entropy discrimination for multi-view learning.
Intell. Data Anal., 2016

Soft Margin Consistency Based Scalable Multi-View Maximum Entropy Discrimination.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Key Course Selection for Academic Early Warning Based on Gaussian Processes.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016

Key Course Selection in Academic Warning with Sparse Regression.
Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

2015
Modeling and recognizing human trajectories with beta process hidden Markov models.
Pattern Recognit., 2015

A review of Nyström methods for large-scale machine learning.
Inf. Fusion, 2015

A survey of multi-source domain adaptation.
Inf. Fusion, 2015

Gaussian process versus margin sampling active learning.
Neurocomputing, 2015

Multitask centroid twin support vector machines.
Neurocomputing, 2015

Multi-view twin support vector machines.
Intell. Data Anal., 2015

PAC-Bayes Analysis for Twin Support Vector Machines.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Uncorrelated transferable feature extraction for signal classification in brain-computer interfaces.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Sparse uncorrelated cross-domain feature extraction for signal classification in brain-computer interfaces.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Revisiting Gaussian Process Dynamical Models.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

An Online Learning Algorithm for Bilinear Models.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Kernel Local Fisher Discriminant Analysis-Based Prediction on Protein O-Glycosylation Sites Using SVM.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015

Text detection in nature scene images using two-stage nontext filtering.
Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015

2014
Active learning of Gaussian processes with manifold-preserving graph reduction.
Neural Comput. Appl., 2014

Sparse Gaussian processes with manifold-preserving graph reduction.
Neurocomputing, 2014

Manifold-preserving graph reduction for sparse semi-supervised learning.
Neurocomputing, 2014

PAC-Bayes Analysis of Multi-view Learning.
CoRR, 2014

Multi-view Laplacian twin support vector machines.
Appl. Intell., 2014

Multi-view uncorrelated linear discriminant analysis with applications to handwritten digit recognition.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Supervised Bayesian sparse coding for classification.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A review of adaptive feature extraction and classification methods for EEG-based brain-computer interfaces.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Multi-task Sparse Gaussian Processes with Improved Multi-task Sparsity Regularization.
Proceedings of the Pattern Recognition - 6th Chinese Conference, 2014

Improved Margin Sampling for Active Learning.
Proceedings of the Pattern Recognition - 6th Chinese Conference, 2014

2013
Multitask multiclass support vector machines: Model and experiments.
Pattern Recognit., 2013

Semi-supervised feature extraction for EEG classification.
Pattern Anal. Appl., 2013

A review of deterministic approximate inference techniques for Bayesian machine learning.
Neural Comput. Appl., 2013

A survey of multi-view machine learning.
Neural Comput. Appl., 2013

Kernel regression with sparse metric learning.
J. Intell. Fuzzy Syst., 2013

Transfer Learning with Part-Based Ensembles.
Proceedings of the Multiple Classifier Systems, 11th International Workshop, 2013

Multi-View Maximum Entropy Discrimination.
Proceedings of the IJCAI 2013, 2013

Single-task and multitask sparse Gaussian processes.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

Multi-view clustering ensembles.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

Infinite mixtures of multivariate Gaussian processes.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

Tangent space intrinsic manifold regularization for data representation.
Proceedings of the 2013 IEEE China Summit and International Conference on Signal and Information Processing, 2013

Trajectory-based human activity recognition with hierarchical dirichlet process hidden Markov models.
Proceedings of the 2013 IEEE China Summit and International Conference on Signal and Information Processing, 2013

2012
PAC-bayes bounds with data dependent priors.
J. Mach. Learn. Res., 2012

A subject transfer framework for EEG classification.
Neurocomputing, 2012

Dynamical ensemble learning with model-friendly classifiers for domain adaptation.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Multitask multiclass privileged information support vector machines.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Multi-source Transfer Learning with Multi-view Adaboost.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Multitask Twin Support Vector Machines.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Semi-supervised Multitask Learning via Self-training and Maximum Entropy Discrimination.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Sequential training of semi-supervised classification based on sparse Gaussian process regression.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

Applying a multitask feature sparsity method for the classification of semantic relations between nominals.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

2011
Variational Inference for Infinite Mixtures of Gaussian Processes With Applications to Traffic Flow Prediction.
IEEE Trans. Intell. Transp. Syst., 2011

Multiple-View Multiple-Learner Semi-Supervised Learning.
Neural Process. Lett., 2011

The stochastic approximation method for adaptive Bayesian classifiers: towards online brain-computer interfaces.
Neural Comput. Appl., 2011

Robust Co-Training.
Int. J. Pattern Recognit. Artif. Intell., 2011

Hierarchical Distance Metric Learning for Large Margin Nearest Neighbor Classification.
Int. J. Pattern Recognit. Artif. Intell., 2011

A review of optimization methodologies in support vector machines.
Neurocomputing, 2011

Part-Based Transfer Learning.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

View Construction for Multi-view Semi-supervised Learning.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Off-line Signature Verification Based on Multitask Learning.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Sparse Kernel Regression for Traffic Flow Forecasting.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Network-Scale Traffic Modeling and Forecasting with Graphical Lasso.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Semi-supervised feature extraction with local temporal regularization for EEG classification.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Multi-view Transfer Learning with Adaboost.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

Transferable Discriminative Dimensionality Reduction.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

Multitask Multiclass Support Vector Machines.
Proceedings of the Data Mining Workshops (ICDMW), 2011

Multi-view Laplacian Support Vector Machines.
Proceedings of the Advanced Data Mining and Applications - 7th International Conference, 2011

2010
Local within-class accuracies for weighting individual outputs in multiple classifier systems.
Pattern Recognit. Lett., 2010

Multiple-view multiple-learner active learning.
Pattern Recognit., 2010

Sparse Semi-supervised Learning Using Conjugate Functions.
J. Mach. Learn. Res., 2010

Active learning with extremely sparse labeled examples.
Neurocomputing, 2010

Extreme energy difference for feature extraction of EEG signals.
Expert Syst. Appl., 2010

Evolutionary classifier ensembles for semi-supervised learning.
Proceedings of the International Joint Conference on Neural Networks, 2010

A Visual Attention Based Approach to Text Extraction.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Nonlinear Combination of Multiple Kernels for Support Vector Machines.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Hierarchical Large Margin Nearest Neighbor Classification.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

An Algorithm on Multi-View Adaboost.
Proceedings of the Neural Information Processing. Theory and Algorithms, 2010

Importance Weighted Extreme Energy Ratio for EEG Classification.
Proceedings of the Neural Information Processing. Models and Applications, 2010

Feature selection for ensembles using Non-dominated Sorting in Genetic Algorithms.
Proceedings of the Sixth International Conference on Natural Computation, 2010

Multi-link traffic flow forecasting using neural networks.
Proceedings of the Sixth International Conference on Natural Computation, 2010

An adaptive k-nearest neighbor algorithm.
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

An empirical evaluation of linear and nonlinear kernels for text classification using Support Vector Machines.
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

A Centroid <i>k</i>-Nearest Neighbor Method.
Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010

Spatial Filter Selection with LASSO for EEG Classification.
Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010

2009
Ensembles of Feature Subspaces for Object Detection.
Proceedings of the Advances in Neural Networks, 2009

Weighting Individual Classifiers by Local Within-Class Accuracies.
Proceedings of the Advances in Neural Networks, 2009

Weighted Data Normalization Based on Eigenvalues for Artificial Neural Network Classification.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

Hierarchical Multi-view Fisher Discriminant Analysis.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

Traffic flow forecasting based on multitask ensemble learning.
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009

A Theory of Kernel Extreme Energy Difference for Feature Extraction of EEG Signals.
Proceedings of the Advanced Data Mining and Applications, 5th International Conference, 2009

2008
The random electrode selection ensemble for EEG signal classification.
Pattern Recognit., 2008

Energy feature extraction of EEG signals and a case study.
Proceedings of the International Joint Conference on Neural Networks, 2008

Neural network multitask learning for traffic flow forecasting.
Proceedings of the International Joint Conference on Neural Networks, 2008

Kernel Regression with a Mahalanobis Metric for Short-Term Traffic Flow Forecasting.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2008

A Theoretical Derivation of the Kernel Extreme Energy Ratio Method for EEG Feature Extraction.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2008

A Multitask Learning Approach to Face Recognition Based on Neural Networks.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2008

Multitask learning for EEG-based biometrics.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Semantic Features for Multi-view Semi-supervised and Active Learning of Text Classification.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Adaptive EEG signal classification using stochastic approximation methods.
Proceedings of the IEEE International Conference on Acoustics, 2008

Classifying EEG signals in Fisher discriminant spaces by random electrode selection.
Proceedings of the IEEE International Conference on Acoustics, 2008

The Extreme Energy Ratio Criterion for EEG Feature Extraction.
Proceedings of the Artificial Neural Networks, 2008

High Reliable Multi-View Semi-Supervised Learning with Extremely Sparse Labeled Data.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

2007
The Selective Random Subspace Predictor for Traffic Flow Forecasting.
IEEE Trans. Intell. Transp. Syst., 2007

An experimental evaluation of ensemble methods for EEG signal classification.
Pattern Recognit. Lett., 2007

Ensemble Learning Methods for Classifying EEG Signals.
Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

An Improved Random Subspace Method and Its Application to EEG Signal Classification.
Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

2006
A bayesian network approach to traffic flow forecasting.
IEEE Trans. Intell. Transp. Syst., 2006

Adaptive feature extraction for EEG signal classification.
Medical Biol. Eng. Comput., 2006

An optimal kernel feature extractor and its application to EEG signal classification.
Neurocomputing, 2006

2005
Using a Random Subspace Predictor to Integrate Spatial and Temporal Information for Traffic Flow Forecasting.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Assessing features for electroencephalographic signal categorization.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Traffic Flow Forecasting Using a Spatio-temporal Bayesian Network Predictor.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

On the On-line Learning Algorithms for EEG Signal Classification in Brain Computer Interfaces.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

Learning On-Line Classification via Decorrelated LMS Algorithm: Application to Brain-Computer Interfaces.
Proceedings of the Discovery Science, 8th International Conference, 2005

2004
Short-Term Traffic Flow Forecasting Using Expanded Bayesian Network for Incomplete Data.
Proceedings of the Advances in Neural Networks, 2004

Bayesian Network Methods for Traffic Flow Forecasting with Incomplete Data.
Proceedings of the Machine Learning: ECML 2004, 2004


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