Bao-Gang Hu

Ran He, Wei-Shi Zheng, Bao-Gang Hu, Xiangwei Kong: Two-Stage Nonnegative Sparse Representation for Large-Scale Face Recognition. IEEE Trans. Neural Netw. Learning Syst. 24(1): 35-46 (2013)

Bao-Gang Hu, Hong-Jie Xing: A New Approach of Deriving Bounds between Entropy and Error from Joint Distribution: Case Study for Binary Classifications. CoRR abs/1303.0943 (2013)

Ning Wang, Bao-Gang Hu: Real-Time Simulation of Aeolian Sand Movement and Sand Ripple Evolution: A Method Based on the Physics of Blown Sand. J. Comput. Sci. Technol. 27(1): 135-146 (2012)

Lin Wu, François-Xavier Le Dimet, Philippe de Reffye, Bao-Gang Hu, Paul-Henry Cournède, Meng-Zhen Kang: An optimal control methodology for plant growth - Case study of a water supply problem of sunflower. Mathematics and Computers in Simulation 82(5): 909-923 (2012)

Xiao-Tong Yuan, Bao-Gang Hu, Ran He: Agglomerative Mean-Shift Clustering. IEEE Trans. Knowl. Data Eng. 24(2): 209-219 (2012)

Shuang-Hong Yang, Bao-Gang Hu: Discriminative Feature Selection by Nonparametric Bayes Error Minimization. IEEE Trans. Knowl. Data Eng. 24(8): 1422-1434 (2012)

Xiaowan Zhang, Bao-Gang Hu: Learning in the Class Imbalance Problem When Costs are Unknown for Errors and Rejects. ICDM Workshops 2012: 194-201

Bao-Gang Hu, Hong-Jie Xing: Analytical Bounds between Entropy and Error Probability in Binary Classifications. CoRR abs/1205.6602 (2012)

Ran He, Wei-Shi Zheng, Bao-Gang Hu, Xiangwei Kong: A Regularized Correntropy Framework for Robust Pattern Recognition. Neural Computation 23(8): 2074-2100 (2011)

Ran He, Wei-Shi Zheng, Bao-Gang Hu: Maximum Correntropy Criterion for Robust Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 33(8): 1561-1576 (2011)

Ran He, Bao-Gang Hu, Wei-Shi Zheng, Xiangwei Kong: Robust Principal Component Analysis Based on Maximum Correntropy Criterion. IEEE Transactions on Image Processing 20(6): 1485-1494 (2011)

Ya-Jun Qu, Bao-Gang Hu: Generalized Constraint Neural Network Regression Model Subject to Linear Priors. IEEE Transactions on Neural Networks 22(12): 2447-2459 (2011)

Ning Wang, Bao-Gang Hu: IdiotPencil: An Interactive System for Generating Pencil Drawings from 3D Polygonal Models. CAD/Graphics 2011: 367-374

Ran He, Wei-Shi Zheng, Bao-Gang Hu, Xiangwei Kong: Nonnegative sparse coding for discriminative semi-supervised learning. CVPR 2011: 2849-2856

Bao-Gang Hu: What are the Differences between Bayesian Classifiers and Mutual-Information Classifiers? CoRR abs/1105.0051 (2011)

Bao-Gang Hu, Ran He, Xiaotong Yuan: Information-Theoretic Measures for Objective Evaluation of Classifications. CoRR abs/1107.1837 (2011)

Ran He, Bao-Gang Hu, Xiaotong Yuan, Wei-Shi Zheng: Principal component analysis based on non-parametric maximum entropy. Neurocomputing 73(10-12): 1840-1852 (2010)

Ran He, Bao-Gang Hu, Wei-Shi Zheng, Yanqing Guo: Two-Stage Sparse Representation for Robust Recognition on Large-Scale Database. AAAI 2010

Han-Bing Qu, Bao-Gang Hu: Variational learning for Generalized Associative Functional Networks in modeling dynamic process of plant growth. Ecological Informatics 4(3): 163-176 (2009)

Bao-Gang Hu, Han-Bing Qu, Yong Wang, Shuang-Hong Yang: A generalized-constraint neural network model: Associating partially known relationships for nonlinear regressions. Inf. Sci. 179(12): 1929-1943 (2009)

Hong-Jie Xing, Bao-Gang Hu: Two-Phase Construction of Multilayer Perceptrons Using Information Theory. IEEE Transactions on Neural Networks 20(4): 715-721 (2009)

Ran He, Bao-Gang Hu, Xiaotong Yuan: Robust Discriminant Analysis Based on Nonparametric Maximum Entropy. ACML 2009: 120-134

Yong Wang, Bao-Gang Hu: Derivations of Normalized Mutual Information in Binary Classifications. FSKD (1) 2009: 155-163

Ya-Jun Qu, Bao-Gang Hu: RBF networks for nonlinear models subject to linear constraints. GrC 2009: 482-487

Xiaotong Yuan, Bao-Gang Hu: Robust feature extraction via information theoretic learning. ICML 2009: 150

Shuang-Hong Yang, Hongyuan Zha, Bao-Gang Hu: Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora. NIPS 2009: 2143-2150

Shuang-Hong Yang, Hongyuan Zha, Shaohua Kevin Zhou, Bao-Gang Hu: Variational Graph Embedding for Globally and Locally Consistent Feature Extraction. ECML/PKDD (2) 2009: 538-553

Xiaotong Yuan, Bao-Gang Hu, Ran He: Agglomerative Mean-Shift Clustering via Query Set Compression. SDM 2009: 221-232

Hong-Jie Xing, Bao-Gang Hu: An adaptive fuzzy c-means clustering-based mixtures of experts model for unlabeled data classification. Neurocomputing 71(4-6): 1008-1021 (2008)

Shuang-Hong Yang, Bao-Gang Hu, Paul-Henry Cournède: Structural identifiability of generalized constraint neural network models for nonlinear regression. Neurocomputing 72(1-3): 392-400 (2008)

Meng-Zhen Kang, Paul-Henry Cournède, Philippe de Reffye, D. Auclair, Bao-Gang Hu: Analytical study of a stochastic plant growth model: Application to the GreenLab model. Mathematics and Computers in Simulation 78(1): 57-75 (2008)

Shuang-Hong Yang, Bao-Gang Hu: Efficient Feature Selection in the Presence of Outliers and Noises. AIRS 2008: 184-191

Xing Mei, Philippe Decaudin, Bao-Gang Hu, Xiaopeng Zhang: Real-Time Marker Level Set on GPU. CW 2008: 209-216

Bao-Gang Hu, Xiaopeng Zhang, Gang Yang, Marc Jaeger: Objective Evaluation of 3D Reconstructed Plants and Trees from 2D Images. CW 2008: 263-270

Chao Zhu, Xiaopeng Zhang, Bao-Gang Hu, Marc Jaeger: Reconstruction of Tree Crown Shape from Scanned Data. Edutainment 2008: 745-756

Hong-Jie Xing, Minghu Ha, Da-Zeng Tian, Bao-Gang Hu: A novel support vector machine with its features weighted by mutual information. IJCNN 2008: 315-320

Shuang-Hong Yang, Bao-Gang Hu: Feature Selection by Nonparametric Bayes Error Minimization. PAKDD 2008: 417-428

Shuang-Hong Yang, Yujiu Yang, Bao-Gang Hu: Sparse Kernel-Based Feature Weighting. PAKDD 2008: 813-820

Yujiu Yang, Shuang-Hong Yang, Bao-Gang Hu: Fighting WebSpam: Detecting Spam on the Graph Via Content and Link Features. PAKDD 2008: 1049-1055

Shuang-Hong Yang, Bao-Gang Hu: A Stagewise Least Square Loss Function for Classification. SDM 2008: 120-131

Jun Teng, Marc Jaeger, Bao-Gang Hu: A Fast Ambient Occlusion Method for Real-Time Plant Rendering. J. Comput. Sci. Technol. 22(6): 859-866 (2007)

Lujia Chen, Bao-Gang Hu: An Implementation of Web Based Query by Humming System. ICME 2007: 1467-1470

Han-Bing Qu, Bao-Gang Hu: Variational Bayes Inference for Generalized Associative Functional Networks. IJCNN 2007: 184-189

Xing Mei, Philippe Decaudin, Bao-Gang Hu: Fast Hydraulic Erosion Simulation and Visualization on GPU. Pacific Conference on Computer Graphics and Applications 2007: 47-56

Yujiu Yang, Bao-Gang Hu: Pairwise Constraints-Guided Non-negative Matrix Factorization for Document Clustering. Web Intelligence 2007: 250-256

Yong Wang, Bao-Gang Hu: Derivations of Normalized Mutual Information in Binary Classifications. CoRR abs/0711.3675 (2007)

Paul-Henry Cournède, Meng-Zhen Kang, Amélie Mathieu, Jean François Barczi, Hong-Pin Yan, Bao-Gang Hu, Philippe de Reffye: Structural Factorization of Plants to Compute Their Functional and Architectural Growth. Simulation 82(7): 427-438 (2006)

Xing Mei, Marc Jaeger, Bao-Gang Hu: An Effective Stratified Sampling Scheme for Environment Maps with Median Cut Method. CGIV 2006: 384-389

Shuang-Hong Yang, Bao-Gang Hu: Reformulated Parametric Learning Based on Ordinary Differential Equations. ICIC (2) 2006: 256-267

Weiwei Yin, Marc Jaeger, Jun Teng, Bao-Gang Hu: Modelling and Sampling Ramified Objects with Substructure-Based Method. International Conference on Computational Science (2) 2005: 322-326

Bao-Gang Hu, Han-Bing Qu, Yong Wang: Associating Neural Networks with Partially Known Relationships for Nonlinear Regressions. ICIC (1) 2005: 737-746

Hong-Jie Xing, Yujiu Yang, Yong Wang, Bao-Gang Hu: Sparse Kernel Fisher Discriminant Analysis. ISNN (1) 2005: 824-830

Bao-Gang Hu, Hong-Jie Xing, Yujiu Yang: Geometric Interpretation of Nonlinear Approximation Capability for Feedforward Neural Networks. ISNN (1) 2004: 7-13

Longbin Chen, Bao-Gang Hu, Lei Zhang, Mingjing Li, HongJiang Zhang: Face Annotation for Family Photo Album Management. Int. J. Image Graphics 3(1): 81-94 (2003)

Hongping Yan, Philippe de Reffye, Chunhong Pan, Bao-Gang Hu: Fast Construction of Plant Architectural Models Based on Substructure Decomposition. J. Comput. Sci. Technol. 18(6): 780-787 (2003)

Meng-Zhen Kang, Philippe de Reffye, Jean François Barczi, Bao-Gang Hu: Fast Algorithm for Stochastic Tree Computation. WSCG 2003

Hongping Yan, Jean François Barczi, Philippe de Reffye, Bao-Gang Hu, Marc Jaeger, J. Le Roux: Fast Algorithms of Plant Computation Based on Substructure Instances. WSCG (Short Papers) 2002: 145-152

Bao-Gang Hu, George K. I. Mann, Raymond G. Gosine: A systematic study of fuzzy PID controllers-function-based evaluation approach. IEEE T. Fuzzy Systems 9(5): 699-712 (2001)

George K. I. Mann, Bao-Gang Hu, Ray G. Gosine: Two-level tuning of fuzzy PID controllers. IEEE Transactions on Systems, Man, and Cybernetics, Part B 31(2): 263-269 (2001)

Bao-Gang Hu, George K. I. Mann, Raymond G. Gosine: New methodology for analytical and optimal design of fuzzy PID controllers. IEEE T. Fuzzy Systems 7(5): 521-539 (1999)

George K. I. Mann, Bao-Gang Hu, Ray G. Gosine: Analysis of direct action fuzzy PID controller structures. IEEE Transactions on Systems, Man, and Cybernetics, Part B 29(3): 371-388 (1999)

Bao-Gang Hu, Raymond G. Gosine, L. X. Cao, Clarence W. de Silva: Application of a fuzzy classification technique in computer grading of fish products. IEEE T. Fuzzy Systems 6(1): 144-152 (1998)

Bao-Gang Hu, Raymond G. Gosine: A new eigenstructure method for sinusoidal signal retrieval in white noise: estimation and pattern recognition. IEEE Transactions on Signal Processing 45(12): 3073-3083 (1997)