| 2020 | AAAI | Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning. | Kekai Sheng, Weiming Dong, Menglei Chai, Guohui Wang, Peng Zhou, Feiyue Huang, Bao-Gang Hu, Rongrong Ji, Chongyang Ma |
| 2019 | CVPR | Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation. | Yong Zhang, Baoyuan Wu, Weiming Dong, Zhifeng Li, Wei Liu, Bao-Gang Hu, Qiang Ji |
| 2019 | ICML | LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning. | Huai-Yu Li, Weiming Dong, Xing Mei, Chongyang Ma, Feiyue Huang, Bao-Gang Hu |
| 2018 | CVPR | Weakly-Supervised Deep Convolutional Neural Network Learning for Facial Action Unit Intensity Estimation. | Yong Zhang, Weiming Dong, Bao-Gang Hu, Qiang Ji |
| 2018 | CVPR | Classifier Learning With Prior Probabilities for Facial Action Unit Recognition. | Yong Zhang, Weiming Dong, Bao-Gang Hu, Qiang Ji |
| 2018 | CVPR | Bilateral Ordinal Relevance Multi-Instance Regression for Facial Action Unit Intensity Estimation. | Yong Zhang, Rui Zhao, Weiming Dong, Bao-Gang Hu, Qiang Ji |
| 2018 | SiggraphA | Gourmet photography dataset for aesthetic assessment of food images. | Kekai Sheng, Weiming Dong, Haibin Huang, Chongyang Ma, Bao-Gang Hu |
| 2017 | AAAI | Self-Paced Learning: An Implicit Regularization Perspective. | Yanbo Fan, Ran He, Jian Liang, Bao-Gang Hu |
| 2017 | SiggraphA | Style-oriented representative paintings selection. | Yingying Deng, Fan Tang, Weiming Dong, Hanxing Yao, Bao-Gang Hu |
| 2016 | ICDE | Unsupervised ranking of multi-attribute objects based on principal curves. | Chun-Guo Li, Xing Mei, Bao-Gang Hu |
| 2016 | IJCNN | Locally imposing function for Generalized Constraint Neural Networks - A study on equality constraints. | Linlin Cao, Ran He, Bao-Gang Hu |
| 2016 | IJCNN | Robust bounded logistic regression in the class imbalance problem. | Guibiao Xu, Bao-Gang Hu, Jos C. Prncipe |
| 2015 | CVPR | UniHIST: A unified framework for image restoration with marginal histogram constraints. | Xing Mei, Weiming Dong, Bao-Gang Hu, Siwei Lyu |
| 2015 | ICCV | Improving Image Restoration with Soft-Rounding. | Xing Mei, Honggang Qi, Bao-Gang Hu, Siwei Lyu |
| 2015 | IJCNN | Generalized constraint neural network regression model subject to equality function constraints. | Linlin Cao, Bao-Gang Hu |
| 2014 | ICDM | Two-Phase Attribute Ordering for Unsupervised Ranking of Multi-attribute Objects. | Chun-Guo Li, Xing Mei, Bao-Gang Hu |
| 2014 | ICIP | Non-blind image restoration with symmetric generalized Pareto priors. | Xing Mei, Bao-Gang Hu, Siwei Lyu |
| 2014 | ICPR | Multi-label Learning with Missing Labels. | Baoyuan Wu, Zhilei Liu, Shangfei Wang, Bao-Gang Hu, Qiang Ji |
| 2014 | IJCNN | An identifying function approach for determining structural identifiability of parameter learning machines. | Zhi-Yong Ran, Bao-Gang Hu |
| 2014 | IJCNN | An asymmetric stagewise least square loss function for imbalanced classification. | Guibiao Xu, Bao-Gang Hu, Jos C. Prncipe |
| 2014 | SIGGRAPH | Data-driven face cartoon stylization. | Yong Zhang, Weiming Dong, Oliver Deussen, Feiyue Huang, Ke Li, Bao-Gang Hu |
| 2013 | CVPR | Constrained Clustering and Its Application to Face Clustering in Videos. | Baoyuan Wu, Yifan Zhang, Bao-Gang Hu, Qiang Ji |
| 2013 | ICCV | Simultaneous Clustering and Tracklet Linking for Multi-face Tracking in Videos. | Baoyuan Wu, Siwei Lyu, Bao-Gang Hu, Qiang Ji |
| 2013 | ICDM | Efficient and Scalable Information Geometry Metric Learning. | Wei Wang, Bao-Gang Hu, Zengfu Wang |
| 2013 | ICDM | Cost-Free Learning for Support Vector Machines with a Reject Option. | Guibiao Xu, Bao-Gang Hu |
| 2013 | ICMLC | Robust principal curves based on maximum correntropy criterion. | Chun-Guo Li, Bao-Gang Hu |
| 2012 | ICDM | Learning in the Class Imbalance Problem When Costs are Unknown for Errors and Rejects. | Xiaowan Zhang, Bao-Gang Hu |
| 2012 | IJCNN | Discriminating classes collapsing for Globality and Locality Preserving Projections. | Wei Wang, Bao-Gang Hu, Zengfu Wang |
| 2011 | CVPR | Nonnegative sparse coding for discriminative semi-supervised learning. | Ran He, Wei-Shi Zheng, Bao-Gang Hu, Xiangwei Kong |
| 2011 | IJCNN | Density and neighbor Adaptive Information Theoretic Clustering. | Baoyuan Wu, Bao-Gang Hu |
| 2010 | AAAI | Two-Stage Sparse Representation for Robust Recognition on Large-Scale Database. | Ran He, Bao-Gang Hu, Wei-Shi Zheng, Yanqing Guo |
| 2010 | ICDM | Bayesian Maximum Margin Clustering. | Bo Dai, Bao-Gang Hu, Gang Niu |
| 2010 | IJCNN | Neural-network based regression model with prior from ranking information. | Yajun Qu, Bo Dai, Bao-Gang Hu |
| 2009 | ACML | Robust Discriminant Analysis Based on Nonparametric Maximum Entropy. | Ran He, Bao-Gang Hu, Xiaotong Yuan |
| 2009 | GRC | RBF networks for nonlinear models subject to linear constraints. | Ya-Jun Qu, Bao-Gang Hu |
| 2009 | ICML | Robust feature extraction via information theoretic learning. | Xiaotong Yuan, Bao-Gang Hu |
| 2009 | SDM | Agglomerative Mean-Shift Clustering via Query Set Compression. | Xiaotong Yuan, Bao-Gang Hu, Ran He |
| 2008 | CW | Objective Evaluation of 3D Reconstructed Plants and Trees from 2D Images. | Bao-Gang Hu, Xiaopeng Zhang, Gang Yang, Marc Jaeger |
| 2008 | CW | Real-Time Marker Level Set on GPU. | Xing Mei, Philippe Decaudin, Bao-Gang Hu, Xiaopeng Zhang |
| 2008 | IJCNN | A novel support vector machine with its features weighted by mutual information. | Hong-Jie Xing, Minghu Ha, Da-Zeng Tian, Bao-Gang Hu |
| 2008 | PAKDD | Feature Selection by Nonparametric Bayes Error Minimization. | Shuang-Hong Yang, Bao-Gang Hu |
| 2008 | PAKDD | Sparse Kernel-Based Feature Weighting. | Shuang-Hong Yang, Yu-Jiu Yang, Bao-Gang Hu |
| 2008 | PAKDD | Fighting WebSpam: Detecting Spam on the Graph Via Content and Link Features. | Yu-Jiu Yang, Shuang-Hong Yang, Bao-Gang Hu |
| 2008 | SDM | A Stagewise Least Square Loss Function for Classification. | Shuang-Hong Yang, Bao-Gang Hu |
| 2007 | BMVC | A Phase Field Model Incorporating Generic and Specific Prior Knowledge Applied to Road Network Extraction from VHR Satellite Images. | Ting Peng, Ian H. Jermyn, Vronique Prinet, Josiane Zerubia, Bao-Gang Hu |
| 2007 | IJCNN | Variational Bayes Inference for Generalized Associative Functional Networks. | Han-Bing Qu, Bao-Gang Hu |
| 2007 | PG | Fast Hydraulic Erosion Simulation and Visualization on GPU. | Xing Mei, Philippe Decaudin, Bao-Gang Hu |
| 2005 | ICCS | Modelling and Sampling Ramified Objects with Substructure-Based Method. | Weiwei Yin, Marc Jaeger, Jun Teng, Bao-Gang Hu |
| 2005 | ISNN | Sparse Kernel Fisher Discriminant Analysis. | Hong-Jie Xing, Yu-Jiu Yang, Yong Wang, Bao-Gang Hu |
| 2004 | ISNN | Geometric Interpretation of Nonlinear Approximation Capability for Feedforward Neural Networks. | Bao-Gang Hu, Hong-Jie Xing, Yu-Jiu Yang |
| 2003 | WSCG | Fast Algorithm for Stochastic Tree Computation. | Meng-Zhen Kang, Philippe de Reffye, Jean Franois Barczi, Bao-Gang Hu |
| 2002 | WSCG | Fast Algorithms of Plant Computation Based on Substructure Instances. | Hongping Yan, Jean Franois Barczi, Philippe de Reffye, Bao-Gang Hu, Marc Jaeger, Jonathan Le Roux |
| 2001 | SMC | Genetic-based robust optimal design for one-input fuzzy PID controllers. | Yue-Dong Cao, Bao-Gang Hu, Dong-Jie Gao |
| 2000 | SMC | Cell detection and tracking for micromanipulation vision system of cell-operation robot. | Z. Wang, Bao-Gang Hu, Lichen Liang, Qiang Ji |
| 1998 | SMC | Nonlinearity variation analysis of one-input fuzzy PID controllers. | Bao-Gang Hu, George K. I. Mann, Ray G. Gosine |
| 1998 | SMC | Derivation and analysis of three-input inference for fuzzy PID controllers. | George K. I. Mann, Bao-Gang Hu, Ray G. Gosine |