Bao-Gang Hu

148 papers A* 19A 4B 19C 4Misc 6Journal 76Unranked 19
YearRankTypeTitle / Venue / Authors
2022 J jnl
Average Top-k Aggregate Loss for Supervised Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Siwei Lyu, Yanbo Fan, Yiming Ying, Bao-Gang Hu
2022 J jnl
Towards Corruption-Agnostic Robust Domain Adaptation.
ACM Trans. Multim. Comput. Commun. Appl.
Yifan Xu, Kekai Sheng, Weiming Dong, Baoyuan Wu, Changsheng Xu, Bao-Gang Hu
2021 J jnl
A design of human-like robust AI machines in object identification.
CoRR
Bao-Gang Hu, Wei-Ming Dong
2021 J jnl
Incremental Concept Learning via Online Generative Memory Recall.
IEEE Trans. Neural Networks Learn. Syst.
Huai-Yu Li, Weiming Dong, Bao-Gang Hu
2021 J jnl
Learning to assess visual aesthetics of food images.
Comput. Vis. Media
Kekai Sheng, Weiming Dong, Haibin Huang, Menglei Chai, Yong Zhang, Chongyang Ma, Bao-Gang Hu
2021 J jnl
Towards Corruption-Agnostic Robust Domain Adaptation.
CoRR
Yifan Xu, Kekai Sheng, Weiming Dong, Baoyuan Wu, Changsheng Xu, Bao-Gang Hu
2020 J jnl
Generalized Constraints as A New Mathematical Problem in Artificial Intelligence: A Review and Perspective.
CoRR
Bao-Gang Hu, Han-Bing Qu
2020 J jnl
Groupwise Ranking Loss for Multi-Label Learning.
IEEE Access
Yanbo Fan, Baoyuan Wu, Ran He, Bao-Gang Hu, Yong Zhang, Siwei Lyu
2020 A* conf
Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning.
AAAI
Kekai Sheng, Weiming Dong, Menglei Chai, Guohui Wang, Peng Zhou, Feiyue Huang, Bao-Gang Hu, Rongrong Ji, Chongyang Ma
2019 J jnl
"Ge Shu Zhi Zhi": Towards Deep Understanding about Worlds.
CoRR
Bao-Gang Hu, Weiming Dong
2019 J jnl
Incremental Concept Learning via Online Generative Memory Recall.
CoRR
Huai-Yu Li, Weiming Dong, Bao-Gang Hu
2019 A* conf
Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation.
CVPR
Yong Zhang, Baoyuan Wu, Weiming Dong, Zhifeng Li, Wei Liu, Bao-Gang Hu, Qiang Ji
2019 A* conf
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning.
ICML
Huai-Yu Li, Weiming Dong, Xing Mei, Chongyang Ma, Feiyue Huang, Bao-Gang Hu
2019 J jnl
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning.
CoRR
Huai-Yu Li, Weiming Dong, Xing Mei, Chongyang Ma, Feiyue Huang, Bao-Gang Hu
2019 J jnl
Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning.
CoRR
Kekai Sheng, Weiming Dong, Menglei Chai, Guohui Wang, Peng Zhou, Feiyue Huang, Bao-Gang Hu, Rongrong Ji, Chongyang Ma
2019 J jnl
Semi-Supervised Deep Neural Network for Joint Intensity Estimation of Multiple Facial Action Units.
IEEE Access
Yong Zhang, Yanbo Fan, Weiming Dong, Bao-Gang Hu, Qiang Ji
2019 J jnl
Time-consistent estimation of LAI by assimilation in GreenLab plant growth model.
Comput. Geosci.
Thomas Corpetti, Xing Gong, Meng-Zhen Kang, Bao-Gang Hu, Laurence Hubert-Moy
2018 J jnl
A knowledge-and-data-driven modeling approach for simulating plant growth and the dynamics of CO
Comput. Electron. Agric.
Xing-Rong Fan, Xiujuan Wang, Meng-Zhen Kang, Jing Hua, Shuangsheng Guo, Philippe de Reffye, Bao-Gang Hu
2018 A* conf
Attention-based Multi-Patch Aggregation for Image Aesthetic Assessment.
ACM Multimedia
Kekai Sheng, Weiming Dong, Chongyang Ma, Xing Mei, Feiyue Huang, Bao-Gang Hu
2018 A* conf
Bilateral Ordinal Relevance Multi-Instance Regression for Facial Action Unit Intensity Estimation.
CVPR
Yong Zhang, Rui Zhao, Weiming Dong, Bao-Gang Hu, Qiang Ji
2018 A* conf
Classifier Learning With Prior Probabilities for Facial Action Unit Recognition.
CVPR
Yong Zhang, Weiming Dong, Bao-Gang Hu, Qiang Ji
2018 J jnl
Facial Image Attributes Transformation via Conditional Recycle Generative Adversarial Networks.
J. Comput. Sci. Technol.
Huai-Yu Li, Wei-Ming Dong, Bao-Gang Hu
2018 — conf
Gourmet photography dataset for aesthetic assessment of food images.
SIGGRAPH Asia Technical Briefs
Kekai Sheng, Weiming Dong, Haibin Huang, Chongyang Ma, Bao-Gang Hu
2018 J jnl
On connections between Rényi entropy Principal Component Analysis, kernel learning and graph embedding.
Pattern Recognit. Lett.
Zhi-Yong Ran, Wei Wang, Bao-Gang Hu
2018 J jnl
Robust C-Loss Kernel Classifiers.
IEEE Trans. Neural Networks Learn. Syst.
Guibiao Xu, Bao-Gang Hu, José C. Príncipe
2018 A* conf
Weakly-Supervised Deep Convolutional Neural Network Learning for Facial Action Unit Intensity Estimation.
CVPR
Yong Zhang, Weiming Dong, Bao-Gang Hu, Qiang Ji
2017 J jnl
A Coupled Hidden Markov Random Field model for simultaneous face clustering and tracking in videos.
Pattern Recognit.
Baoyuan Wu, Bao-Gang Hu, Qiang Ji
2017 J jnl
Centroid-aware local discriminative metric learning in speaker verification.
Pattern Recognit.
Kekai Sheng, Weiming Dong, Wei Li, Joseph Razik, Feiyue Huang, Bao-Gang Hu
2017 J jnl
Data-Driven Synthesis of Cartoon Faces Using Different Styles.
IEEE Trans. Image Process.
Yong Zhang, Weiming Dong, Chongyang Ma, Xing Mei, Ke Li, Feiyue Huang, Bao-Gang Hu, Oliver Deussen
2017 — conf
Learning with Average Top-k Loss.
NIPS
Yanbo Fan, Siwei Lyu, Yiming Ying, Bao-Gang Hu
2017 J jnl
Learning with Average Top-k Loss.
CoRR
Yanbo Fan, Siwei Lyu, Yiming Ying, Bao-Gang Hu
2017 J jnl
Parameter Identifiability in Statistical Machine Learning: A Review.
Neural Comput.
Zhi-Yong Ran, Bao-Gang Hu
2017 J jnl
Robust Localized Multi-view Subspace Clustering.
CoRR
Yanbo Fan, Jian Liang, Ran He, Bao-Gang Hu, Siwei Lyu
2017 J jnl
Robust support vector machines based on the rescaled hinge loss function.
Pattern Recognit.
Guibiao Xu, Zheng Cao, Bao-Gang Hu, José C. Príncipe
2017 A* conf
Self-Paced Learning: An Implicit Regularization Perspective.
AAAI
Yanbo Fan, Ran He, Jian Liang, Bao-Gang Hu
2017 A* conf
Style-oriented representative paintings selection.
SIGGRAPH ASIA (Posters)
Yingying Deng, Fan Tang, Weiming Dong, Hanxing Yao, Bao-Gang Hu
2016 J jnl
An Optimization Approach of Deriving Bounds between Entropy and Error from Joint Distribution: Case Study for Binary Classifications.
Entropy
Bao-Gang Hu, Hong-Jie Xing
2016 J jnl
Locally Imposing Function for Generalized Constraint Neural Networks - A Study on Equality Constraints.
CoRR
Linlin Cao, Ran He, Bao-Gang Hu
2016 B conf
Locally imposing function for Generalized Constraint Neural Networks - A study on equality constraints.
IJCNN
Linlin Cao, Ran He, Bao-Gang Hu
2016 J jnl
Reply to "Reply to 'Determining structural identifiability of parameter learning machines'".
Neurocomputing
Zhi-Yong Ran, Bao-Gang Hu
2016 B conf
Robust bounded logistic regression in the class imbalance problem.
IJCNN
Guibiao Xu, Bao-Gang Hu, José C. Príncipe
2016 J jnl
Self-Paced Learning: an Implicit Regularization Perspective.
CoRR
Yanbo Fan, Ran He, Jian Liang, Bao-Gang Hu
2016 A* conf
Unsupervised ranking of multi-attribute objects based on principal curves.
ICDE
Chun-Guo Li, Xing Mei, Bao-Gang Hu
2015 J jnl
An identifying function approach for determining parameter structure of statistical learning machines.
Neurocomputing
Zhi-Yong Ran, Bao-Gang Hu
2015 J jnl
Evaluating the Quality of Face Alignment without Ground Truth.
Comput. Graph. Forum
Kekai Sheng, Weiming Dong, Yan Kong, Xing Mei, Ji-Lin Li, Chengjie Wang, Feiyue Huang, Bao-Gang Hu
2015 B conf
Generalized constraint neural network regression model subject to equality function constraints.
IJCNN
Linlin Cao, Bao-Gang Hu
2015 — conf
Global and local consistent multi-view subspace clustering.
ACPR
Yanbo Fan, Ran He, Bao-Gang Hu
2015 A* conf
Improving Image Restoration with Soft-Rounding.
ICCV
Xing Mei, Honggang Qi, Bao-Gang Hu, Siwei Lyu
2015 J jnl
Improving Image Restoration with Soft-Rounding.
CoRR
Xing Mei, Honggang Qi, Bao-Gang Hu, Siwei Lyu
2015 J jnl
Information Theory and its Relation to Machine Learning.
CoRR
Bao-Gang Hu
2015 J jnl
Multi-label learning with missing labels for image annotation and facial action unit recognition.
Pattern Recognit.
Baoyuan Wu, Siwei Lyu, Bao-Gang Hu, Qiang Ji
2015 A* conf
UniHIST: A unified framework for image restoration with marginal histogram constraints.
CVPR
Xing Mei, Weiming Dong, Bao-Gang Hu, Siwei Lyu
2015 J jnl
Unsupervised Ranking of Multi-Attribute Objects Based on Principal Curves.
IEEE Trans. Knowl. Data Eng.
Chun-Guo Li, Xing Mei, Bao-Gang Hu
2014 J jnl
A New Strategy of Cost-Free Learning in the Class Imbalance Problem.
IEEE Trans. Knowl. Data Eng.
Xiaowan Zhang, Bao-Gang Hu
2014 J jnl
A study on cost behaviors of binary classification measures in class-imbalanced problems.
CoRR
Bao-Gang Hu, Weiming Dong
2014 B conf
An asymmetric stagewise least square loss function for imbalanced classification.
IJCNN
Guibiao Xu, Bao-Gang Hu, José C. Príncipe
2014 B conf
An identifying function approach for determining structural identifiability of parameter learning machines.
IJCNN
Zhi-Yong Ran, Bao-Gang Hu
2014 — conf
Data-driven face cartoon stylization.
SIGGRAPH ASIA Technical Briefs
Yong Zhang, Weiming Dong, Oliver Deussen, Feiyue Huang, Ke Li, Bao-Gang Hu
2014 J jnl
Determining parameter identifiability from the optimization theory framework: A Kullback-Leibler divergence approach.
Neurocomputing
Zhi-Yong Ran, Bao-Gang Hu
2014 J jnl
Determining structural identifiability of parameter learning machines.
Neurocomputing
Zhi-Yong Ran, Bao-Gang Hu
2014 J jnl
Globality and locality incorporation in distance metric learning.
Neurocomputing
Wei Wang, Bao-Gang Hu, Zengfu Wang
2014 B conf
Multi-label Learning with Missing Labels.
ICPR
Baoyuan Wu, Zhilei Liu, Shangfei Wang, Bao-Gang Hu, Qiang Ji
2014 B conf
Non-blind image restoration with symmetric generalized Pareto priors.
ICIP
Xing Mei, Bao-Gang Hu, Siwei Lyu
2014 — book
Robust Recognition via Information Theoretic Learning
Ran He, Bao-Gang Hu, Xiaotong Yuan, Liang Wang
2014 — conf
Two-Phase Attribute Ordering for Unsupervised Ranking of Multi-attribute Objects.
ICDM Workshops
Chun-Guo Li, Xing Mei, Bao-Gang Hu
2014 J jnl
Unsupervised Ranking of Multi-Attribute Objects Based on Principal Curves.
CoRR
Chun-Guo Li, Xing Mei, Bao-Gang Hu
2014 J jnl
What Are the Differences Between Bayesian Classifiers and Mutual-Information Classifiers?
IEEE Trans. Neural Networks Learn. Syst.
Bao-Gang Hu
2013 J jnl
A New Approach of Deriving Bounds between Entropy and Error from Joint Distribution: Case Study for Binary Classifications
CoRR
Bao-Gang Hu, Hong-Jie Xing
2013 J jnl
A New Strategy of Cost-Free Learning in the Class Imbalance Problem.
CoRR
Xiaowan Zhang, Bao-Gang Hu
2013 A* conf
Constrained Clustering and Its Application to Face Clustering in Videos.
CVPR
Baoyuan Wu, Yifan Zhang, Bao-Gang Hu, Qiang Ji
2013 — conf
Cost-Free Learning for Support Vector Machines with a Reject Option.
ICDM Workshops
Guibiao Xu, Bao-Gang Hu
2013 A* conf
Efficient and Scalable Information Geometry Metric Learning.
ICDM
Wei Wang, Bao-Gang Hu, Zengfu Wang
2013 Misc conf
Robust principal curves based on maximum correntropy criterion.
ICMLC
Chun-Guo Li, Bao-Gang Hu
2013 A* conf
Simultaneous Clustering and Tracklet Linking for Multi-face Tracking in Videos.
ICCV
Baoyuan Wu, Siwei Lyu, Bao-Gang Hu, Qiang Ji
2013 J jnl
Two-Stage Nonnegative Sparse Representation for Large-Scale Face Recognition.
IEEE Trans. Neural Networks Learn. Syst.
Ran He, Wei-Shi Zheng, Bao-Gang Hu, Xiangwei Kong
2012 J jnl
Agglomerative Mean-Shift Clustering.
IEEE Trans. Knowl. Data Eng.
Xiao-Tong Yuan, Bao-Gang Hu, Ran He
2012 J jnl
An optimal control methodology for plant growth - Case study of a water supply problem of sunflower.
Math. Comput. Simul.
Lin Wu, François-Xavier Le Dimet, Philippe de Reffye, Bao-Gang Hu, Paul-Henry Cournède, Meng-Zhen Kang
2012 J jnl
Analytical Bounds between Entropy and Error Probability in Binary Classifications
CoRR
Bao-Gang Hu, Hong-Jie Xing
2012 B conf
Discriminating classes collapsing for Globality and Locality Preserving Projections.
IJCNN
Wei Wang, Bao-Gang Hu, Zengfu Wang
2012 J jnl
Discriminative Feature Selection by Nonparametric Bayes Error Minimization.
IEEE Trans. Knowl. Data Eng.
Shuang-Hong Yang, Bao-Gang Hu
2012 — conf
Learning in the Class Imbalance Problem When Costs are Unknown for Errors and Rejects.
ICDM Workshops
Xiaowan Zhang, Bao-Gang Hu
2012 J jnl
Real-Time Simulation of Aeolian Sand Movement and Sand Ripple Evolution: A Method Based on the Physics of Blown Sand.
J. Comput. Sci. Technol.
Ning Wang, Bao-Gang Hu
2011 J jnl
A Regularized Correntropy Framework for Robust Pattern Recognition.
Neural Comput.
Ran He, Wei-Shi Zheng, Bao-Gang Hu, Xiangwei Kong
2011 B conf
Density and neighbor Adaptive Information Theoretic Clustering.
IJCNN
Baoyuan Wu, Bao-Gang Hu
2011 J jnl
Generalized Constraint Neural Network Regression Model Subject to Linear Priors.
IEEE Trans. Neural Networks
Ya-Jun Qu, Bao-Gang Hu
2011 — conf
IdiotPencil: An Interactive System for Generating Pencil Drawings from 3D Polygonal Models.
CAD/Graphics
Ning Wang, Bao-Gang Hu
2011 J jnl
Information-Theoretic Measures for Objective Evaluation of Classifications
CoRR
Bao-Gang Hu, Ran He, Xiaotong Yuan
2011 J jnl
Maximum Correntropy Criterion for Robust Face Recognition.
IEEE Trans. Pattern Anal. Mach. Intell.
Ran He, Wei-Shi Zheng, Bao-Gang Hu
2011 A* conf
Nonnegative sparse coding for discriminative semi-supervised learning.
CVPR
Ran He, Wei-Shi Zheng, Bao-Gang Hu, Xiangwei Kong
2011 J jnl
Robust Principal Component Analysis Based on Maximum Correntropy Criterion.
IEEE Trans. Image Process.
Ran He, Bao-Gang Hu, Wei-Shi Zheng, Xiangwei Kong
2011 J jnl
What are the Differences between Bayesian Classifiers and Mutual-Information Classifiers?
CoRR
Bao-Gang Hu
2010 A* conf
Bayesian Maximum Margin Clustering.
ICDM
Bo Dai, Bao-Gang Hu, Gang Niu
2010 C conf
Minimum Conditional Entropy Clustering: A Discriminative Framework for Clustering.
ACML
Bo Dai, Bao-Gang Hu
2010 B conf
Neural-network based regression model with prior from ranking information.
IJCNN
Yajun Qu, Bo Dai, Bao-Gang Hu
2010 J jnl
Principal component analysis based on non-parametric maximum entropy.
Neurocomputing
Ran He, Bao-Gang Hu, Xiaotong Yuan, Wei-Shi Zheng
2010 A* conf
Two-Stage Sparse Representation for Robust Recognition on Large-Scale Database.
AAAI
Ran He, Bao-Gang Hu, Wei-Shi Zheng, Yanqing Guo
2009 J jnl
A generalized-constraint neural network model: Associating partially known relationships for nonlinear regressions.
Inf. Sci.
Bao-Gang Hu, Han-Bing Qu, Yong Wang, Shuang-Hong Yang
2009 A conf
Agglomerative Mean-Shift Clustering via Query Set Compression.
SDM
Xiaotong Yuan, Bao-Gang Hu, Ran He
2009 — conf
Derivations of Normalized Mutual Information in Binary Classifications.
FSKD (1)
Yong Wang, Bao-Gang Hu
2009 — conf
Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora.
NIPS
Shuang-Hong Yang, Hongyuan Zha, Bao-Gang Hu
2009 Misc conf
RBF networks for nonlinear models subject to linear constraints.
GrC
Ya-Jun Qu, Bao-Gang Hu
2009 C conf
Robust Discriminant Analysis Based on Nonparametric Maximum Entropy.
ACML
Ran He, Bao-Gang Hu, Xiaotong Yuan
2009 A* conf
Robust feature extraction via information theoretic learning.
ICML
Xiaotong Yuan, Bao-Gang Hu
2009 J jnl
Two-Phase Construction of Multilayer Perceptrons Using Information Theory.
IEEE Trans. Neural Networks
Hong-Jie Xing, Bao-Gang Hu
2009 — conf
Variational Graph Embedding for Globally and Locally Consistent Feature Extraction.
ECML/PKDD (2)
Shuang-Hong Yang, Hongyuan Zha, Shaohua Kevin Zhou, Bao-Gang Hu
2009 J jnl
Variational learning for Generalized Associative Functional Networks in modeling dynamic process of plant growth.
Ecol. Informatics
Han-Bing Qu, Bao-Gang Hu
2008 A conf
A Stagewise Least Square Loss Function for Classification.
SDM
Shuang-Hong Yang, Bao-Gang Hu
2008 B conf
A novel support vector machine with its features weighted by mutual information.
IJCNN
Hong-Jie Xing, Minghu Ha, Da-Zeng Tian, Bao-Gang Hu
2008 J jnl
An adaptive fuzzy c-means clustering-based mixtures of experts model for unlabeled data classification.
Neurocomputing
Hong-Jie Xing, Bao-Gang Hu
2008 J jnl
Analytical study of a stochastic plant growth model: Application to the GreenLab model.
Math. Comput. Simul.
Meng-Zhen Kang, Paul-Henry Cournède, Philippe de Reffye, D. Auclair, Bao-Gang Hu
2008 — conf
Efficient Feature Selection in the Presence of Outliers and Noises.
AIRS
Shuang-Hong Yang, Bao-Gang Hu
2008 B conf
Feature Selection by Nonparametric Bayes Error Minimization.
PAKDD
Shuang-Hong Yang, Bao-Gang Hu
2008 B conf
Fighting WebSpam: Detecting Spam on the Graph Via Content and Link Features.
PAKDD
Yu-Jiu Yang, Shuang-Hong Yang, Bao-Gang Hu
2008 C conf
Objective Evaluation of 3D Reconstructed Plants and Trees from 2D Images.
CW
Bao-Gang Hu, Xiaopeng Zhang, Gang Yang, Marc Jaeger
2008 C conf
Real-Time Marker Level Set on GPU.
CW
Xing Mei, Philippe Decaudin, Bao-Gang Hu, Xiaopeng Zhang
2008 — conf
Reconstruction of Tree Crown Shape from Scanned Data.
Edutainment
Chao Zhu, Xiaopeng Zhang, Bao-Gang Hu, Marc Jaeger
2008 B conf
Sparse Kernel-Based Feature Weighting.
PAKDD
Shuang-Hong Yang, Yu-Jiu Yang, Bao-Gang Hu
2008 J jnl
Structural identifiability of generalized constraint neural network models for nonlinear regression.
Neurocomputing
Shuang-Hong Yang, Bao-Gang Hu, Paul-Henry Cournède
2007 J jnl
A Fast Ambient Occlusion Method for Real-Time Plant Rendering.
J. Comput. Sci. Technol.
Jun Teng, Marc Jaeger, Bao-Gang Hu
2007 A conf
A Phase Field Model Incorporating Generic and Specific Prior Knowledge Applied to Road Network Extraction from VHR Satellite Images.
BMVC
Ting Peng, Ian H. Jermyn, Véronique Prinet, Josiane Zerubia, Bao-Gang Hu
2007 A conf
An Implementation of Web Based Query by Humming System.
ICME
Lujia Chen, Bao-Gang Hu
2007 J jnl
Derivations of Normalized Mutual Information in Binary Classifications
CoRR
Yong Wang, Bao-Gang Hu
2007 Misc conf
Fast Hydraulic Erosion Simulation and Visualization on GPU.
PG
Xing Mei, Philippe Decaudin, Bao-Gang Hu
2007 — conf
Pairwise Constraints-Guided Non-negative Matrix Factorization for Document Clustering.
Web Intelligence
Yu-Jiu Yang, Bao-Gang Hu
2007 B conf
Variational Bayes Inference for Generalized Associative Functional Networks.
IJCNN
Han-Bing Qu, Bao-Gang Hu
2006 — conf
An Effective Stratified Sampling Scheme for Environment Maps with Median Cut Method.
CGIV
Xing Mei, Marc Jaeger, Bao-Gang Hu
2006 — conf
Reformulated Parametric Learning Based on Ordinary Differential Equations.
ICIC (2)
Shuang-Hong Yang, Bao-Gang Hu
2006 J jnl
Structural Factorization of Plants to Compute Their Functional and Architectural Growth.
Simul.
Paul-Henry Cournède, Meng-Zhen Kang, Amélie Mathieu, Jean François Barczi, Hong-Pin Yan, Bao-Gang Hu, Philippe de Reffye
2005 — conf
Associating Neural Networks with Partially Known Relationships for Nonlinear Regressions.
ICIC (1)
Bao-Gang Hu, Han-Bing Qu, Yong Wang
2005 Misc conf
Modelling and Sampling Ramified Objects with Substructure-Based Method.
International Conference on Computational Science (2)
Weiwei Yin, Marc Jaeger, Jun Teng, Bao-Gang Hu
2005 — conf
Sparse Kernel Fisher Discriminant Analysis.
ISNN (1)
Hong-Jie Xing, Yu-Jiu Yang, Yong Wang, Bao-Gang Hu
2005 J jnl
Un problème d'optimisation des apports en eau pour la croissance des plantes dans le modèle GreenLab.
ARIMA J.
Lin Wu, Philippe de Reffye, Bao-Gang Hu, François-Xavier Le Dimet, Paul-Henry Cournède
2004 — conf
Geometric Interpretation of Nonlinear Approximation Capability for Feedforward Neural Networks.
ISNN (1)
Bao-Gang Hu, Hong-Jie Xing, Yu-Jiu Yang
2003 J jnl
Face Annotation for Family Photo Album Management.
Int. J. Image Graph.
Longbin Chen, Bao-Gang Hu, Lei Zhang, Mingjing Li, HongJiang Zhang
2003 Misc conf
Fast Algorithm for Stochastic Tree Computation.
WSCG
Meng-Zhen Kang, Philippe de Reffye, Jean François Barczi, Bao-Gang Hu
2003 J jnl
Fast Construction of Plant Architectural Models Based on Substructure Decomposition.
J. Comput. Sci. Technol.
Hongping Yan, Philippe de Reffye, Chunhong Pan, Bao-Gang Hu
2002 Misc conf
Fast Algorithms of Plant Computation Based on Substructure Instances.
WSCG (Short Papers)
Hongping Yan, Jean François Barczi, Philippe de Reffye, Bao-Gang Hu, Marc Jaeger, Jonathan Le Roux
2001 J jnl
A systematic study of fuzzy PID controllers-function-based evaluation approach.
IEEE Trans. Fuzzy Syst.
Bao-Gang Hu, George K. I. Mann, Raymond G. Gosine
2001 B conf
Genetic-based robust optimal design for one-input fuzzy PID controllers.
SMC
Yue-Dong Cao, Bao-Gang Hu, Dong-Jie Gao
2001 J jnl
Two-level tuning of fuzzy PID controllers.
IEEE Trans. Syst. Man Cybern. Part B
George K. I. Mann, Bao-Gang Hu, Ray G. Gosine
2000 B conf
Cell detection and tracking for micromanipulation vision system of cell-operation robot.
SMC
Z. Wang, Bao-Gang Hu, Lichen Liang, Qiang Ji
1999 J jnl
Analysis of direct action fuzzy PID controller structures.
IEEE Trans. Syst. Man Cybern. Part B
George K. I. Mann, Bao-Gang Hu, Ray G. Gosine
1999 J jnl
New methodology for analytical and optimal design of fuzzy PID controllers.
IEEE Trans. Fuzzy Syst.
Bao-Gang Hu, George K. I. Mann, Raymond G. Gosine
1998 J jnl
Application of a fuzzy classification technique in computer grading of fish products.
IEEE Trans. Fuzzy Syst.
Bao-Gang Hu, Raymond G. Gosine, L. X. Cao, Clarence W. de Silva
1998 J jnl
Control Curve Design for Nonlinear (or Fuzzy) Proportional Actions Using Spline-based Functions.
Autom.
Bao-Gang Hu, George K. I. Mann, Ray G. Gosine
1998 B conf
Derivation and analysis of three-input inference for fuzzy PID controllers.
SMC
George K. I. Mann, Bao-Gang Hu, Ray G. Gosine
1998 B conf
Nonlinearity variation analysis of one-input fuzzy PID controllers.
SMC
Bao-Gang Hu, George K. I. Mann, Ray G. Gosine
1997 J jnl
A new eigenstructure method for sinusoidal signal retrieval in white noise: estimation and pattern recognition.
IEEE Trans. Signal Process.
Bao-Gang Hu, Raymond G. Gosine