Dao-Qing Dai

Orcid: 0000-0003-4622-8492

According to our database1, Dao-Qing Dai authored at least 88 papers between 1998 and 2024.

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

Timeline

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Bibliography

2024
Cross-site prognosis prediction for nasopharyngeal carcinoma from incomplete multi-modal data.
Medical Image Anal., 2024

Maximizing conditional independence for unsupervised domain adaptation.
Sci. China Inf. Sci., 2024

2023
Conditional Independence Induced Unsupervised Domain Adaptation.
Pattern Recognit., November, 2023

BuresNet: Conditional Bures Metric for Transferable Representation Learning.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

2022
Hyperspectral Image Classification via Discriminant Gabor Ensemble Filter.
IEEE Trans. Cybern., 2022

Unsupervised Domain Adaptation via Discriminative Manifold Propagation.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

springD2A: capturing uncertainty in disease-drug association prediction with model integration.
Bioinform., 2022

Learning representation for multiple biological networks via a robust graph regularized integration approach.
Briefings Bioinform., 2022

Subtype-WESLR: identifying cancer subtype with weighted ensemble sparse latent representation of multi-view data.
Briefings Bioinform., 2022

2021
Joint Transformation Learning via the L<sub>2, 1</sub>-Norm Metric for Robust Graph Matching.
IEEE Trans. Cybern., 2021

Learning Kernel for Conditional Moment-Matching Discrepancy-Based Image Classification.
IEEE Trans. Cybern., 2021

Heterogeneous Domain Adaptation via Covariance Structured Feature Translators.
IEEE Trans. Cybern., 2021

WMLRR: A Weighted Multi-View Low Rank Representation to Identify Cancer Subtypes From Multiple Types of Omics Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Hyperspectral image classification via discriminative convolutional neural network with an improved triplet loss.
Pattern Recognit., 2021

DeFusion: a denoised network regularization framework for multi-omics integration.
Briefings Bioinform., 2021

MetaCon: Meta Contrastive Learning for Microsatellite Instability Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Dual Adversarial Autoencoders for Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2020

Discriminative Residual Analysis for Image Set Classification With Posture and Age Variations.
IEEE Trans. Image Process., 2020

Domain Adaptation and Image Classification via Deep Conditional Adaptation Network.
CoRR, 2020

2019
Sparse approximation to discriminant projection learning and application to image classification.
Pattern Recognit., 2019

2018
Radial Basis Functions With Adaptive Input and Composite Trend Representation for Portfolio Selection.
IEEE Trans. Neural Networks Learn. Syst., 2018

A Peak Price Tracking-Based Learning System for Portfolio Selection.
IEEE Trans. Neural Networks Learn. Syst., 2018

Kernel Embedding Multiorientation Local Pattern for Image Representation.
IEEE Trans. Cybern., 2018

2017
Learning Kernel Extended Dictionary for Face Recognition.
IEEE Trans. Neural Networks Learn. Syst., 2017

Discriminative multi-layer illumination-robust feature extraction for face recognition.
Pattern Recognit., 2017

Discriminative multi-scale sparse coding for single-sample face recognition with occlusion.
Pattern Recognit., 2017

Fusing landmark-based features at kernel level for face recognition.
Pattern Recognit., 2017

Regularized coplanar discriminant analysis for dimensionality reduction.
Pattern Recognit., 2017

2016
Enhanced Local Gradient Order Features and Discriminant Analysis for Face Recognition.
IEEE Trans. Cybern., 2016

Comparative analysis of housekeeping and tissue-specific driver nodes in human protein interaction networks.
BMC Bioinform., 2016

Regularized logistic regression with network-based pairwise interaction for biomarker identification in breast cancer.
BMC Bioinform., 2016

Protein complex detection based on partially shared multi-view clustering.
BMC Bioinform., 2016

A two-layer integration framework for protein complex detection.
BMC Bioinform., 2016

2015
Sample Weighting: An Inherent Approach for Outlier Suppressing Discriminant Analysis.
IEEE Trans. Knowl. Data Eng., 2015

Multiscale Logarithm Difference Edgemaps for Face Recognition Against Varying Lighting Conditions.
IEEE Trans. Image Process., 2015

Discriminative and Compact Coding for Robust Face Recognition.
IEEE Trans. Cybern., 2015

Detecting Protein Complexes from Signed Protein-Protein Interaction Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015

Determining minimum set of driver nodes in protein-protein interaction networks.
BMC Bioinform., 2015

2014
Band-Reweighed Gabor Kernel Embedding for Face Image Representation and Recognition.
IEEE Trans. Image Process., 2014

Transfer Learning of Structured Representation for Face Recognition.
IEEE Trans. Image Process., 2014

Multilayer Surface Albedo for Face Recognition With Reference Images in Bad Lighting Conditions.
IEEE Trans. Image Process., 2014

Detecting overlapping protein complexes based on a generative model with functional and topological properties.
BMC Bioinform., 2014

Detecting temporal protein complexes from dynamic protein-protein interaction networks.
BMC Bioinform., 2014

2013
Structured Sparse Error Coding for Face Recognition With Occlusion.
IEEE Trans. Image Process., 2013

Identification of DNA-Binding and Protein-Binding Proteins Using Enhanced Graph Wavelet Features.
IEEE ACM Trans. Comput. Biol. Bioinform., 2013

Identifying Spurious Interactions and Predicting Missing Interactions in the Protein-Protein Interaction Networks via a Generative Network Model.
IEEE ACM Trans. Comput. Biol. Bioinform., 2013

2012
Coupled Kernel Embedding for Low-Resolution Face Image Recognition.
IEEE Trans. Image Process., 2012

A New On-Board Image Codec Based on Binary Tree With Adaptive Scanning Order in Scan-Based Mode.
IEEE Trans. Geosci. Remote. Sens., 2012

Protein Complexes Discovery Based on Protein-Protein Interaction Data via a Regularized Sparse Generative Network Model.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

A Framework for Incorporating Functional Interrelationships into Protein Function Prediction Algorithms.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

Biomarker Identification and Cancer Classification Based on Microarray Data Using Laplace Naive Bayes Model with Mean Shrinkage.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

Robust classification using ℓ<sub>2, 1</sub>-norm based regression model.
Pattern Recognit., 2012

Reflectance Estimation Using Local Regression Methods.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

Learning with Multiple Orientations and Scales for Face Recognition.
Proceedings of the Pattern Recognition - Chinese Conference, 2012

Face Recognition under Variable Illumination by Weighted-Subband Edge Enhancement.
Proceedings of the Pattern Recognition - Chinese Conference, 2012

2011
Finding Correlated Biclusters from Gene Expression Data.
IEEE Trans. Knowl. Data Eng., 2011

Framelet Algorithms for De-Blurring Images Corrupted by Impulse Plus Gaussian Noise.
IEEE Trans. Image Process., 2011

ℓ2;1-norm based Regression for Classification.
Proceedings of the First Asian Conference on Pattern Recognition, 2011

Low resolution facial image recognition via multiple kernel criterion.
Proceedings of the First Asian Conference on Pattern Recognition, 2011

Face recognition with continuous occlusion using partially iteratively reweighted sparse coding.
Proceedings of the First Asian Conference on Pattern Recognition, 2011

2010
Framelet Kernels With Applications to Support Vector Regression and Regularization Networks.
IEEE Trans. Syst. Man Cybern. Part B, 2010

Multiframe Super-Resolution Reconstruction Using Sparse Directional Regularization.
IEEE Trans. Circuits Syst. Video Technol., 2010

Bilinear Lanczos components for fast dimensionality reduction and feature extraction.
Pattern Recognit., 2010

Incremental learning of bidirectional principal components for face recognition.
Pattern Recognit., 2010

The theoretic framework of local weighted approximation for microarray missing value estimation.
Pattern Recognit., 2010

2009
Two-Dimensional Maximum Margin Feature Extraction for Face Recognition.
IEEE Trans. Syst. Man Cybern. Part B, 2009

Face Recognition Using Dual-Tree Complex Wavelet Features.
IEEE Trans. Image Process., 2009

2008
Feature Extraction and Uncorrelated Discriminant Analysis for High-Dimensional Data.
IEEE Trans. Knowl. Data Eng., 2008

Color Superresolution Reconstruction and Demosaicing Using Elastic Net and Tight Frame.
IEEE Trans. Circuits Syst. I Regul. Pap., 2008

2007
Face Recognition by Regularized Discriminant Analysis.
IEEE Trans. Syst. Man Cybern. Part B, 2007

Improved discriminate analysis for high-dimensional data and its application to face recognition.
Pattern Recognit., 2007

Local Discriminant Wavelet Packet Coordinates for Face Recognition.
J. Mach. Learn. Res., 2007

On a New Class of Framelet Kernels for Support Vector Regression and Regularization Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Biclustering of Microarray Data Based on Singular Value Decomposition.
Proceedings of the Emerging Technologies in Knowledge Discovery and Data Mining, 2007

A Multi-scale Dynamically Growing Hierarchical Self-organizing Map for Brain MRI Image Segmentation.
Proceedings of the Advances in Neural Networks, 2007

Detecting Periodically Expression in Unevenly Spaced Microarray Time Series.
Proceedings of the Computational Science, 2007

2006
Wavelet based discriminant analysis for face recognition.
Appl. Math. Comput., 2006

Face Recognition by Inverse Fisher Discriminant Features.
Proceedings of the Advances in Biometrics, International Conference, 2006

2005
Kernel machine-based one-parameter regularized Fisher discriminant method for face recognition.
IEEE Trans. Syst. Man Cybern. Part B, 2005

Inverse Fisher discriminate criteria for small sample size problem and its application to face recognition.
Pattern Recognit., 2005

A Novel One-Parameter Regularized Kernel Fisher Discriminant Method for Face Recognition.
Proceedings of the Pattern Recognition and Image Analysis, Second Iberian Conference, 2005

2004
A Novel One-Parameter Regularized Linear Discriminant Analysis for Solving Small Sample Size Problem in Face Recognition.
Proceedings of the Advances in Biometric Person Authentication, 2004

2003
Regularized discriminant analysis and its application to face recognition.
Pattern Recognit., 2003

Wavelet-Based 2-Parameter Regularized Discriminant Analysis for Face Recognition.
Proceedings of the Audio-and Video-Based Biometrie Person Authentication, 2003

2000
Human face recognition using PCA on wavelet subband.
J. Electronic Imaging, 2000

Face Recognition Based on Local Fisher Features.
Proceedings of the Advances in Multimodal Interfaces, 2000

1998
Polynomial preserving algorithm for digital image interpolation.
Signal Process., 1998

Human face image retrieval system for large database.
Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998


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