Bao-Gang Hu

Orcid: 0000-0002-6916-5394

According to our database1, Bao-Gang Hu authored at least 135 papers between 1997 and 2022.

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

Timeline

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Bibliography

2022
Towards Corruption-Agnostic Robust Domain Adaptation.
ACM Trans. Multim. Comput. Commun. Appl., 2022

Average Top-k Aggregate Loss for Supervised Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

2021
Incremental Concept Learning via Online Generative Memory Recall.
IEEE Trans. Neural Networks Learn. Syst., 2021

Learning to assess visual aesthetics of food images.
Comput. Vis. Media, 2021

A design of human-like robust AI machines in object identification.
CoRR, 2021

2020
Generalized Constraints as A New Mathematical Problem in Artificial Intelligence: A Review and Perspective.
CoRR, 2020

Groupwise Ranking Loss for Multi-Label Learning.
IEEE Access, 2020

Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Time-consistent estimation of LAI by assimilation in GreenLab plant growth model.
Comput. Geosci., 2019

"Ge Shu Zhi Zhi": Towards Deep Understanding about Worlds.
CoRR, 2019

Semi-Supervised Deep Neural Network for Joint Intensity Estimation of Multiple Facial Action Units.
IEEE Access, 2019

LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019

Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Robust C-Loss Kernel Classifiers.
IEEE Trans. Neural Networks Learn. Syst., 2018

On connections between Rényi entropy Principal Component Analysis, kernel learning and graph embedding.
Pattern Recognit. Lett., 2018

Facial Image Attributes Transformation via Conditional Recycle Generative Adversarial Networks.
J. Comput. Sci. Technol., 2018

A knowledge-and-data-driven modeling approach for simulating plant growth and the dynamics of CO<sub>2</sub>/O<sub>2</sub> concentrations in a closed system of plants and humans by integrating mechanistic and empirical models.
Comput. Electron. Agric., 2018

Gourmet photography dataset for aesthetic assessment of food images.
Proceedings of the SIGGRAPH Asia 2018 Technical Briefs, Tokyo, Japan, December 04-07, 2018, 2018

Attention-based Multi-Patch Aggregation for Image Aesthetic Assessment.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Bilateral Ordinal Relevance Multi-Instance Regression for Facial Action Unit Intensity Estimation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Classifier Learning With Prior Probabilities for Facial Action Unit Recognition.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Weakly-Supervised Deep Convolutional Neural Network Learning for Facial Action Unit Intensity Estimation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Data-Driven Synthesis of Cartoon Faces Using Different Styles.
IEEE Trans. Image Process., 2017

Robust support vector machines based on the rescaled hinge loss function.
Pattern Recognit., 2017

A Coupled Hidden Markov Random Field model for simultaneous face clustering and tracking in videos.
Pattern Recognit., 2017

Centroid-aware local discriminative metric learning in speaker verification.
Pattern Recognit., 2017

Parameter Identifiability in Statistical Machine Learning: A Review.
Neural Comput., 2017

Robust Localized Multi-view Subspace Clustering.
CoRR, 2017

Style-oriented representative paintings selection.
Proceedings of the SIGGRAPH Asia 2017 Posters, Bangkok, Thailand, November 27 - 30, 2017, 2017

Learning with Average Top-k Loss.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Self-Paced Learning: An Implicit Regularization Perspective.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Reply to "Reply to 'Determining structural identifiability of parameter learning machines'".
Neurocomputing, 2016

An Optimization Approach of Deriving Bounds between Entropy and Error from Joint Distribution: Case Study for Binary Classifications.
Entropy, 2016

Robust bounded logistic regression in the class imbalance problem.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Locally imposing function for Generalized Constraint Neural Networks - A study on equality constraints.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Unsupervised Ranking of Multi-Attribute Objects Based on Principal Curves.
IEEE Trans. Knowl. Data Eng., 2015

Multi-label learning with missing labels for image annotation and facial action unit recognition.
Pattern Recognit., 2015

An identifying function approach for determining parameter structure of statistical learning machines.
Neurocomputing, 2015

Information Theory and its Relation to Machine Learning.
CoRR, 2015

Evaluating the Quality of Face Alignment without Ground Truth.
Comput. Graph. Forum, 2015

Generalized constraint neural network regression model subject to equality function constraints.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Improving Image Restoration with Soft-Rounding.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

UniHIST: A unified framework for image restoration with marginal histogram constraints.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Global and local consistent multi-view subspace clustering.
Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015

2014
Robust Recognition via Information Theoretic Learning
Springer Briefs in Computer Science, Springer, ISBN: 978-3-319-07416-0, 2014

What Are the Differences Between Bayesian Classifiers and Mutual-Information Classifiers?
IEEE Trans. Neural Networks Learn. Syst., 2014

A New Strategy of Cost-Free Learning in the Class Imbalance Problem.
IEEE Trans. Knowl. Data Eng., 2014

Globality and locality incorporation in distance metric learning.
Neurocomputing, 2014

Determining parameter identifiability from the optimization theory framework: A Kullback-Leibler divergence approach.
Neurocomputing, 2014

Determining structural identifiability of parameter learning machines.
Neurocomputing, 2014

A study on cost behaviors of binary classification measures in class-imbalanced problems.
CoRR, 2014

Data-driven face cartoon stylization.
Proceedings of the SIGGRAPH Asia 2014 Technical Briefs, 2014

An asymmetric stagewise least square loss function for imbalanced classification.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

An identifying function approach for determining structural identifiability of parameter learning machines.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Multi-label Learning with Missing Labels.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Non-blind image restoration with symmetric generalized Pareto priors.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Two-Phase Attribute Ordering for Unsupervised Ranking of Multi-attribute Objects.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

2013
Two-Stage Nonnegative Sparse Representation for Large-Scale Face Recognition.
IEEE Trans. Neural Networks Learn. Syst., 2013

A New Approach of Deriving Bounds between Entropy and Error from Joint Distribution: Case Study for Binary Classifications
CoRR, 2013

Robust principal curves based on maximum correntropy criterion.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

Cost-Free Learning for Support Vector Machines with a Reject Option.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Efficient and Scalable Information Geometry Metric Learning.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Simultaneous Clustering and Tracklet Linking for Multi-face Tracking in Videos.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Constrained Clustering and Its Application to Face Clustering in Videos.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Agglomerative Mean-Shift Clustering.
IEEE Trans. Knowl. Data Eng., 2012

Discriminative Feature Selection by Nonparametric Bayes Error Minimization.
IEEE Trans. Knowl. Data Eng., 2012

An optimal control methodology for plant growth - Case study of a water supply problem of sunflower.
Math. Comput. Simul., 2012

Real-Time Simulation of Aeolian Sand Movement and Sand Ripple Evolution: A Method Based on the Physics of Blown Sand.
J. Comput. Sci. Technol., 2012

Analytical Bounds between Entropy and Error Probability in Binary Classifications
CoRR, 2012

Discriminating classes collapsing for Globality and Locality Preserving Projections.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Learning in the Class Imbalance Problem When Costs are Unknown for Errors and Rejects.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

2011
Generalized Constraint Neural Network Regression Model Subject to Linear Priors.
IEEE Trans. Neural Networks, 2011

Robust Principal Component Analysis Based on Maximum Correntropy Criterion.
IEEE Trans. Image Process., 2011

Maximum Correntropy Criterion for Robust Face Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

A Regularized Correntropy Framework for Robust Pattern Recognition.
Neural Comput., 2011

Information-Theoretic Measures for Objective Evaluation of Classifications
CoRR, 2011

Density and neighbor Adaptive Information Theoretic Clustering.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Nonnegative sparse coding for discriminative semi-supervised learning.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

IdiotPencil: An Interactive System for Generating Pencil Drawings from 3D Polygonal Models.
Proceedings of the 12th International Conference on Computer-Aided Design and Computer Graphics, 2011

2010
Minimum Conditional Entropy Clustering: A Discriminative Framework for Clustering.
Proceedings of the 2nd Asian Conference on Machine Learning, 2010

Principal component analysis based on non-parametric maximum entropy.
Neurocomputing, 2010

Neural-network based regression model with prior from ranking information.
Proceedings of the International Joint Conference on Neural Networks, 2010

Bayesian Maximum Margin Clustering.
Proceedings of the ICDM 2010, 2010

Two-Stage Sparse Representation for Robust Recognition on Large-Scale Database.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Two-Phase Construction of Multilayer Perceptrons Using Information Theory.
IEEE Trans. Neural Networks, 2009

A generalized-constraint neural network model: Associating partially known relationships for nonlinear regressions.
Inf. Sci., 2009

Variational learning for Generalized Associative Functional Networks in modeling dynamic process of plant growth.
Ecol. Informatics, 2009

Agglomerative Mean-Shift Clustering via Query Set Compression.
Proceedings of the SIAM International Conference on Data Mining, 2009

Variational Graph Embedding for Globally and Locally Consistent Feature Extraction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Robust feature extraction via information theoretic learning.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

RBF networks for nonlinear models subject to linear constraints.
Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009

Derivations of Normalized Mutual Information in Binary Classifications.
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009

Robust Discriminant Analysis Based on Nonparametric Maximum Entropy.
Proceedings of the Advances in Machine Learning, 2009

2008
Analytical study of a stochastic plant growth model: Application to the GreenLab model.
Math. Comput. Simul., 2008

Structural identifiability of generalized constraint neural network models for nonlinear regression.
Neurocomputing, 2008

An adaptive fuzzy c-means clustering-based mixtures of experts model for unlabeled data classification.
Neurocomputing, 2008

A Stagewise Least Square Loss Function for Classification.
Proceedings of the SIAM International Conference on Data Mining, 2008

Fighting WebSpam: Detecting Spam on the Graph Via Content and Link Features.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Sparse Kernel-Based Feature Weighting.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Feature Selection by Nonparametric Bayes Error Minimization.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

A novel support vector machine with its features weighted by mutual information.
Proceedings of the International Joint Conference on Neural Networks, 2008

Reconstruction of Tree Crown Shape from Scanned Data.
Proceedings of the Technologies for E-Learning and Digital Entertainment, 2008

Real-Time Marker Level Set on GPU.
Proceedings of the International Conference on Cyberworlds 2008, 2008

Objective Evaluation of 3D Reconstructed Plants and Trees from 2D Images.
Proceedings of the International Conference on Cyberworlds 2008, 2008

Efficient Feature Selection in the Presence of Outliers and Noises.
Proceedings of the Information Retrieval Technology, 2008

2007
A Fast Ambient Occlusion Method for Real-Time Plant Rendering.
J. Comput. Sci. Technol., 2007

Pairwise Constraints-Guided Non-negative Matrix Factorization for Document Clustering.
Proceedings of the 2007 IEEE / WIC / ACM International Conference on Web Intelligence, 2007

Fast Hydraulic Erosion Simulation and Visualization on GPU.
Proceedings of the 15th Pacific Conference on Computer Graphics and Applications, 2007

Variational Bayes Inference for Generalized Associative Functional Networks.
Proceedings of the International Joint Conference on Neural Networks, 2007

An Implementation of Web Based Query by Humming System.
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

A Phase Field Model Incorporating Generic and Specific Prior Knowledge Applied to Road Network Extraction from VHR Satellite Images.
Proceedings of the British Machine Vision Conference 2007, 2007

2006
Structural Factorization of Plants to Compute Their Functional and Architectural Growth.
Simul., 2006

Reformulated Parametric Learning Based on Ordinary Differential Equations.
Proceedings of the Computational Intelligence, 2006

An Effective Stratified Sampling Scheme for Environment Maps with Median Cut Method.
Proceedings of the Third International Conference on Computer Graphics, 2006

2005
Un problème d'optimisation des apports en eau pour la croissance des plantes dans le modèle GreenLab.
ARIMA J., 2005

Sparse Kernel Fisher Discriminant Analysis.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Associating Neural Networks with Partially Known Relationships for Nonlinear Regressions.
Proceedings of the Advances in Intelligent Computing, 2005

Modelling and Sampling Ramified Objects with Substructure-Based Method.
Proceedings of the Computational Science, 2005

2004
Geometric Interpretation of Nonlinear Approximation Capability for Feedforward Neural Networks.
Proceedings of the Advances in Neural Networks, 2004

2003
Fast Construction of Plant Architectural Models Based on Substructure Decomposition.
J. Comput. Sci. Technol., 2003

Face Annotation for Family Photo Album Management.
Int. J. Image Graph., 2003

Fast Algorithm for Stochastic Tree Computation.
Proceedings of the 11-th International Conference in Central Europe on Computer Graphics, 2003

2002
Fast Algorithms of Plant Computation Based on Substructure Instances.
Proceedings of the 10-th International Conference in Central Europe on Computer Graphics, 2002

2001
Two-level tuning of fuzzy PID controllers.
IEEE Trans. Syst. Man Cybern. Part B, 2001

A systematic study of fuzzy PID controllers-function-based evaluation approach.
IEEE Trans. Fuzzy Syst., 2001

Genetic-based robust optimal design for one-input fuzzy PID controllers.
Proceedings of the IEEE International Conference on Systems, 2001

2000
Cell detection and tracking for micromanipulation vision system of cell-operation robot.
Proceedings of the IEEE International Conference on Systems, 2000

1999
Analysis of direct action fuzzy PID controller structures.
IEEE Trans. Syst. Man Cybern. Part B, 1999

New methodology for analytical and optimal design of fuzzy PID controllers.
IEEE Trans. Fuzzy Syst., 1999

1998
Application of a fuzzy classification technique in computer grading of fish products.
IEEE Trans. Fuzzy Syst., 1998

Control Curve Design for Nonlinear (or Fuzzy) Proportional Actions Using Spline-based Functions.
Autom., 1998

Derivation and analysis of three-input inference for fuzzy PID controllers.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

Nonlinearity variation analysis of one-input fuzzy PID controllers.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

1997
A new eigenstructure method for sinusoidal signal retrieval in white noise: estimation and pattern recognition.
IEEE Trans. Signal Process., 1997


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