BaoGang Hu
According to our database^{1},
BaoGang Hu
authored at least 128 papers
between 1997 and 2020.
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at escience.cn
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Bibliography
2020
IEEE Access, 2020
Proceedings of the ThirtyFourth AAAI Conference on Artificial Intelligence, 2020
2019
Comput. Geosci., 2019
CoRR, 2019
CoRR, 2019
SemiSupervised Deep Neural Network for Joint Intensity Estimation of Multiple Facial Action Units.
IEEE Access, 2019
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
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 knowledgeanddatadriven 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
Proceedings of the SIGGRAPH Asia 2018 Technical Briefs, Tokyo, Japan, December 0407, 2018, 2018
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018
Bilateral Ordinal Relevance MultiInstance Regression for Facial Action Unit Intensity Estimation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
WeaklySupervised 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
IEEE Trans. Image Process., 2017
Pattern Recognit., 2017
A Coupled Hidden Markov Random Field model for simultaneous face clustering and tracking in videos.
Pattern Recognit., 2017
Pattern Recognit., 2017
Neural Comput., 2017
CoRR, 2017
Proceedings of the SIGGRAPH Asia 2017 Posters, Bangkok, Thailand, November 27  30, 2017, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the ThirtyFirst 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
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
IEEE Trans. Knowl. Data Eng., 2015
Multilabel 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
CoRR, 2015
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
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
Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015
2014
Springer Briefs in Computer Science, Springer, ISBN: 9783319074160, 2014
What Are the Differences Between Bayesian Classifiers and MutualInformation Classifiers?
IEEE Trans. Neural Networks Learn. Syst., 2014
IEEE Trans. Knowl. Data Eng., 2014
Neurocomputing, 2014
Determining parameter identifiability from the optimization theory framework: A KullbackLeibler divergence approach.
Neurocomputing, 2014
Neurocomputing, 2014
A study on cost behaviors of binary classification measures in classimbalanced problems.
CoRR, 2014
Proceedings of the SIGGRAPH Asia 2014 Technical Briefs, 2014
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
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014
2013
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
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
Proceedings of the IEEE International Conference on Computer Vision, 2013
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
2012
IEEE Trans. Knowl. Data Eng., 2012
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
RealTime Simulation of Aeolian Sand Movement and Sand Ripple Evolution: A Method Based on the Physics of Blown Sand.
J. Comput. Sci. Technol., 2012
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
IEEE Trans. Neural Networks, 2011
IEEE Trans. Image Process., 2011
IEEE Trans. Pattern Anal. Mach. Intell., 2011
Neural Comput., 2011
CoRR, 2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
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 ComputerAided 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
Neurocomputing, 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Proceedings of the ICDM 2010, 2010
Proceedings of the TwentyFourth AAAI Conference on Artificial Intelligence, 2010
2009
IEEE Trans. Neural Networks, 2009
A generalizedconstraint 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
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
DirichletBernoulli Alignment: A Generative Model for MultiClass MultiLabel MultiInstance 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 710 December 2009, 2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009
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 cmeans clusteringbased mixtures of experts model for unlabeled data classification.
Neurocomputing, 2008
Proceedings of the SIAM International Conference on Data Mining, 2008
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
Proceedings of the Technologies for ELearning and Digital Entertainment, 2008
Proceedings of the International Conference on Cyberworlds 2008, 2008
Proceedings of the International Conference on Cyberworlds 2008, 2008
Proceedings of the Information Retrieval Technology, 2008
2007
J. Comput. Sci. Technol., 2007
Pairwise ConstraintsGuided Nonnegative Matrix Factorization for Document Clustering.
Proceedings of the 2007 IEEE / WIC / ACM International Conference on Web Intelligence, 2007
Proceedings of the 15th Pacific Conference on Computer Graphics and Applications, 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
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
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
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
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
Int. J. Image Graph., 2003
Proceedings of the 11th International Conference in Central Europe on Computer Graphics, 2003
2002
Proceedings of the 10th International Conference in Central Europe on Computer Graphics, 2002
2001
IEEE Trans. Syst. Man Cybern. Part B, 2001
IEEE Trans. Fuzzy Syst., 2001
Proceedings of the IEEE International Conference on Systems, 2001
2000
Cell detection and tracking for micromanipulation vision system of celloperation robot.
Proceedings of the IEEE International Conference on Systems, 2000
1999
IEEE Trans. Syst. Man Cybern. Part B, 1999
IEEE Trans. Fuzzy Syst., 1999
1998
Application of a fuzzy classification technique in computer grading of fish products.
IEEE Trans. Fuzzy Syst., 1998
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998
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