A new eigenstructure method for sinusoidal signal retrieval in white noise: estimation and pattern recognition. - Bao-Gang Hu; Raymond G. Gosine (IEEE Trans. Signal Process., 1997)

Nonlinearity variation analysis of one-input fuzzy PID controllers. - Bao-Gang Hu; George K. I. Mann; Ray G. Gosine (SMC, 1998)

Derivation and analysis of three-input inference for fuzzy PID controllers. - George K. I. Mann; Bao-Gang Hu; Ray G. Gosine (SMC, 1998)

Control Curve Design for Nonlinear (or Fuzzy) Proportional Actions Using Spline-based Functions. - Bao-Gang Hu; George K. I. Mann; Ray G. Gosine (Autom., 1998)

Application of a fuzzy classification technique in computer grading of fish products. - Bao-Gang Hu; Raymond G. Gosine; L. X. Cao; Clarence W. de Silva (IEEE Trans. Fuzzy Syst., 1998)

New methodology for analytical and optimal design of fuzzy PID controllers. - Bao-Gang Hu; George K. I. Mann; Raymond G. Gosine (IEEE Trans. Fuzzy Syst., 1999)

Analysis of direct action fuzzy PID controller structures. - George K. I. Mann; Bao-Gang Hu; Ray G. Gosine (IEEE Trans. Syst. Man Cybern. Part B, 1999)

Cell detection and tracking for micromanipulation vision system of cell-operation robot. - Z. Wang; Bao-Gang Hu; Lichen Liang; Qiang Ji (SMC, 2000)

Genetic-based robust optimal design for one-input fuzzy PID controllers. - Yue-Dong Cao; Bao-Gang Hu; Dong-Jie Gao (SMC, 2001)

A systematic study of fuzzy PID controllers-function-based evaluation approach. - Bao-Gang Hu; George K. I. Mann; Raymond G. Gosine (IEEE Trans. Fuzzy Syst., 2001)

Two-level tuning of fuzzy PID controllers. - George K. I. Mann; Bao-Gang Hu; Ray G. Gosine (IEEE Trans. Syst. Man Cybern. Part B, 2001)

Fast Algorithms of Plant Computation Based on Substructure Instances. - Hongping Yan; Jean François Barczi; Philippe de Reffye; Bao-Gang Hu; Marc Jaeger 002; Jonathan Le Roux (WSCG (Short Papers), 2002)

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

Face Annotation for Family Photo Album Management. - Longbin Chen; Bao-Gang Hu; Lei Zhang 001; Mingjing Li; HongJiang Zhang (Int. J. Image Graph., 2003)

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

Geometric Interpretation of Nonlinear Approximation Capability for Feedforward Neural Networks. - Bao-Gang Hu; Hong-Jie Xing; Yu-Jiu Yang 001 (ISNN (1), 2004)

Modelling and Sampling Ramified Objects with Substructure-Based Method. - Weiwei Yin; Marc Jaeger 002; Jun Teng; Bao-Gang Hu (International Conference on Computational Science (2), 2005)

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

Sparse Kernel Fisher Discriminant Analysis. - Hong-Jie Xing; Yu-Jiu Yang 001; Yong Wang; Bao-Gang Hu (ISNN (1), 2005)

Un problème d'optimisation des apports en eau pour la croissance des plantes dans le modèle GreenLab. - Lin Wu 005; Philippe de Reffye; Bao-Gang Hu; François-Xavier Le Dimet; Paul-Henry Cournède (ARIMA J., 2005)

An Effective Stratified Sampling Scheme for Environment Maps with Median Cut Method. - Xing Mei; Marc Jaeger 002; Bao-Gang Hu (CGIV, 2006)

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

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

A Phase Field Model Incorporating Generic and Specific Prior Knowledge Applied to Road Network Extraction from VHR Satellite Images. - Ting Peng; Ian H. Jermyn; Véronique Prinet; Josiane Zerubia; Bao-Gang Hu (BMVC, 2007)

An Implementation of Web Based Query by Humming System. - Lujia Chen; Bao-Gang Hu (ICME, 2007)

Variational Bayes Inference for Generalized Associative Functional Networks. - Han-Bing Qu; Bao-Gang Hu (IJCNN, 2007)

Fast Hydraulic Erosion Simulation and Visualization on GPU. - Xing Mei; Philippe Decaudin; Bao-Gang Hu (PG, 2007)

Pairwise Constraints-Guided Non-negative Matrix Factorization for Document Clustering. - Yu-Jiu Yang 001; Bao-Gang Hu (Web Intelligence, 2007)

A Fast Ambient Occlusion Method for Real-Time Plant Rendering. - Jun Teng; Marc Jaeger 002; Bao-Gang Hu (J. Comput. Sci. Technol., 2007)

Efficient Feature Selection in the Presence of Outliers and Noises. - Shuang-Hong Yang; Bao-Gang Hu (AIRS, 2008)

Objective Evaluation of 3D Reconstructed Plants and Trees from 2D Images. - Bao-Gang Hu; Xiaopeng Zhang 001; Gang Yang; Marc Jaeger 002 (CW, 2008)

Real-Time Marker Level Set on GPU. - Xing Mei; Philippe Decaudin; Bao-Gang Hu; Xiaopeng Zhang 001 (CW, 2008)

Reconstruction of Tree Crown Shape from Scanned Data. - Chao Zhu; Xiaopeng Zhang 001; Bao-Gang Hu; Marc Jaeger 002 (Edutainment, 2008)

A novel support vector machine with its features weighted by mutual information. - Hong-Jie Xing; Minghu Ha 001; Da-Zeng Tian; Bao-Gang Hu (IJCNN, 2008)

Feature Selection by Nonparametric Bayes Error Minimization. - Shuang-Hong Yang; Bao-Gang Hu (PAKDD, 2008)

Sparse Kernel-Based Feature Weighting. - Shuang-Hong Yang; Yu-Jiu Yang 001; Bao-Gang Hu (PAKDD, 2008)

Fighting WebSpam: Detecting Spam on the Graph Via Content and Link Features. - Yu-Jiu Yang 001; Shuang-Hong Yang; Bao-Gang Hu (PAKDD, 2008)

A Stagewise Least Square Loss Function for Classification. - Shuang-Hong Yang; Bao-Gang Hu (SDM, 2008)

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

Structural identifiability of generalized constraint neural network models for nonlinear regression. - Shuang-Hong Yang; Bao-Gang Hu; Paul-Henry Cournède (Neurocomputing, 2008)

Analytical study of a stochastic plant growth model: Application to the GreenLab model. - Meng-Zhen Kang; Paul-Henry Cournède; Philippe de Reffye; D. Auclair; Bao-Gang Hu (Math. Comput. Simul., 2008)

Robust Discriminant Analysis Based on Nonparametric Maximum Entropy. - Ran He 001; Bao-Gang Hu; Xiaotong Yuan (ACML, 2009)

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

RBF networks for nonlinear models subject to linear constraints. - Ya-Jun Qu; Bao-Gang Hu (GrC, 2009)

Robust feature extraction via information theoretic learning. - Xiaotong Yuan; Bao-Gang Hu (ICML, 2009)

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

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

Agglomerative Mean-Shift Clustering via Query Set Compression. - Xiaotong Yuan; Bao-Gang Hu; Ran He 001 (SDM, 2009)

Variational learning for Generalized Associative Functional Networks in modeling dynamic process of plant growth. - Han-Bing Qu; Bao-Gang Hu (Ecol. Informatics, 2009)

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

Two-Phase Construction of Multilayer Perceptrons Using Information Theory. - Hong-Jie Xing; Bao-Gang Hu (IEEE Trans. Neural Networks, 2009)

Two-Stage Sparse Representation for Robust Recognition on Large-Scale Database. - Ran He 001; Bao-Gang Hu; Wei-Shi Zheng 001; Yanqing Guo (AAAI, 2010)

Bayesian Maximum Margin Clustering. - Bo Dai 001; Bao-Gang Hu; Gang Niu 001 (ICDM, 2010)

Neural-network based regression model with prior from ranking information. - Yajun Qu; Bo Dai 001; Bao-Gang Hu (IJCNN, 2010)

Principal component analysis based on non-parametric maximum entropy. - Ran He 001; Bao-Gang Hu; Xiaotong Yuan; Wei-Shi Zheng 001 (Neurocomputing, 2010)

Minimum Conditional Entropy Clustering: A Discriminative Framework for Clustering. - Bo Dai 001; Bao-Gang Hu (ACML, 2010)

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

Nonnegative sparse coding for discriminative semi-supervised learning. - Ran He 001; Wei-Shi Zheng 001; Bao-Gang Hu; Xiangwei Kong 001 (CVPR, 2011)

Density and neighbor Adaptive Information Theoretic Clustering. - Baoyuan Wu; Bao-Gang Hu (IJCNN, 2011)

Information-Theoretic Measures for Objective Evaluation of Classifications - Bao-Gang Hu; Ran He 001; Xiaotong Yuan (CoRR, 2011)

A Regularized Correntropy Framework for Robust Pattern Recognition. - Ran He 001; Wei-Shi Zheng 001; Bao-Gang Hu; Xiangwei Kong 001 (Neural Comput., 2011)

Maximum Correntropy Criterion for Robust Face Recognition. - Ran He 001; Wei-Shi Zheng 001; Bao-Gang Hu (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Robust Principal Component Analysis Based on Maximum Correntropy Criterion. - Ran He 001; Bao-Gang Hu; Wei-Shi Zheng 001; Xiangwei Kong 001 (IEEE Trans. Image Process., 2011)

Generalized Constraint Neural Network Regression Model Subject to Linear Priors. - Ya-Jun Qu; Bao-Gang Hu (IEEE Trans. Neural Networks, 2011)

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

Discriminating classes collapsing for Globality and Locality Preserving Projections. - Wei Wang 061; Bao-Gang Hu; Zengfu Wang (IJCNN, 2012)

Analytical Bounds between Entropy and Error Probability in Binary Classifications - Bao-Gang Hu; Hong-Jie Xing (CoRR, 2012)

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

An optimal control methodology for plant growth - Case study of a water supply problem of sunflower. - Lin Wu 005; François-Xavier Le Dimet; Philippe de Reffye; Bao-Gang Hu; Paul-Henry Cournède; Meng-Zhen Kang (Math. Comput. Simul., 2012)

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

Agglomerative Mean-Shift Clustering. - Xiao-Tong Yuan; Bao-Gang Hu; Ran He 001 (IEEE Trans. Knowl. Data Eng., 2012)

Constrained Clustering and Its Application to Face Clustering in Videos. - Baoyuan Wu; Yifan Zhang 001; Bao-Gang Hu; Qiang Ji (CVPR, 2013)

Simultaneous Clustering and Tracklet Linking for Multi-face Tracking in Videos. - Baoyuan Wu; Siwei Lyu; Bao-Gang Hu; Qiang Ji (ICCV, 2013)

Efficient and Scalable Information Geometry Metric Learning. - Wei Wang 061; Bao-Gang Hu; Zengfu Wang (ICDM, 2013)

Cost-Free Learning for Support Vector Machines with a Reject Option. - Guibiao Xu; Bao-Gang Hu (ICDM Workshops, 2013)

Robust principal curves based on maximum correntropy criterion. - Chun-Guo Li; Bao-Gang Hu (ICMLC, 2013)

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

Two-Stage Nonnegative Sparse Representation for Large-Scale Face Recognition. - Ran He 001; Wei-Shi Zheng 001; Bao-Gang Hu; Xiangwei Kong 001 (IEEE Trans. Neural Networks Learn. Syst., 2013)

Two-Phase Attribute Ordering for Unsupervised Ranking of Multi-attribute Objects. - Chun-Guo Li; Xing Mei; Bao-Gang Hu (ICDM Workshops, 2014)

Non-blind image restoration with symmetric generalized Pareto priors. - Xing Mei; Bao-Gang Hu; Siwei Lyu (ICIP, 2014)

Multi-label Learning with Missing Labels. - Baoyuan Wu; Zhilei Liu; Shangfei Wang; Bao-Gang Hu; Qiang Ji (ICPR, 2014)

An identifying function approach for determining structural identifiability of parameter learning machines. - Zhi-Yong Ran; Bao-Gang Hu (IJCNN, 2014)

An asymmetric stagewise least square loss function for imbalanced classification. - Guibiao Xu; Bao-Gang Hu; José C. Príncipe (IJCNN, 2014)

Data-driven face cartoon stylization. - Yong Zhang 034; Weiming Dong; Oliver Deussen; Feiyue Huang; Ke Li 015; Bao-Gang Hu (SIGGRAPH ASIA Technical Briefs, 2014)

A study on cost behaviors of binary classification measures in class-imbalanced problems. - Bao-Gang Hu; Weiming Dong (CoRR, 2014)

Determining structural identifiability of parameter learning machines. - Zhi-Yong Ran; Bao-Gang Hu (Neurocomputing, 2014)

Determining parameter identifiability from the optimization theory framework: A Kullback-Leibler divergence approach. - Zhi-Yong Ran; Bao-Gang Hu (Neurocomputing, 2014)

Globality and locality incorporation in distance metric learning. - Wei Wang 061; Bao-Gang Hu; Zengfu Wang (Neurocomputing, 2014)

A New Strategy of Cost-Free Learning in the Class Imbalance Problem. - Xiaowan Zhang; Bao-Gang Hu (IEEE Trans. Knowl. Data Eng., 2014)

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

Robust Recognition via Information Theoretic Learning - Ran He 001; Bao-Gang Hu; Xiaotong Yuan; Liang Wang 001 (Springer, 2014)

Global and local consistent multi-view subspace clustering. - Yanbo Fan; Ran He 001; Bao-Gang Hu (ACPR, 2015)

UniHIST: A unified framework for image restoration with marginal histogram constraints. - Xing Mei; Weiming Dong; Bao-Gang Hu; Siwei Lyu (CVPR, 2015)

Improving Image Restoration with Soft-Rounding. - Xing Mei; Honggang Qi; Bao-Gang Hu; Siwei Lyu (ICCV, 2015)

Generalized constraint neural network regression model subject to equality function constraints. - Linlin Cao; Bao-Gang Hu (IJCNN, 2015)

Evaluating the Quality of Face Alignment without Ground Truth. - Kekai Sheng; Weiming Dong; Yan Kong; Xing Mei; Ji-Lin Li; Chengjie Wang; Feiyue Huang; Bao-Gang Hu (Comput. Graph. Forum, 2015)

Information Theory and its Relation to Machine Learning. - Bao-Gang Hu (CoRR, 2015)

An identifying function approach for determining parameter structure of statistical learning machines. - Zhi-Yong Ran; Bao-Gang Hu (Neurocomputing, 2015)

Multi-label learning with missing labels for image annotation and facial action unit recognition. - Baoyuan Wu; Siwei Lyu; Bao-Gang Hu; Qiang Ji (Pattern Recognit., 2015)

Unsupervised ranking of multi-attribute objects based on principal curves. - Chun-Guo Li; Xing Mei; Bao-Gang Hu (ICDE, 2016)

Locally imposing function for Generalized Constraint Neural Networks - A study on equality constraints. - Linlin Cao; Ran He 001; Bao-Gang Hu (IJCNN, 2016)

Robust bounded logistic regression in the class imbalance problem. - Guibiao Xu; Bao-Gang Hu; José C. Príncipe (IJCNN, 2016)

An Optimization Approach of Deriving Bounds between Entropy and Error from Joint Distribution: Case Study for Binary Classifications. - Bao-Gang Hu; Hong-Jie Xing (Entropy, 2016)

Reply to "Reply to 'Determining structural identifiability of parameter learning machines'". - Zhi-Yong Ran; Bao-Gang Hu (Neurocomputing, 2016)

Self-Paced Learning: An Implicit Regularization Perspective. - Yanbo Fan; Ran He 001; Jian Liang 001; Bao-Gang Hu (AAAI, 2017)

Learning with Average Top-k Loss. - Yanbo Fan; Siwei Lyu; Yiming Ying; Bao-Gang Hu (NIPS, 2017)

Style-oriented representative paintings selection. - Yingying Deng; Fan Tang; Weiming Dong; Hanxing Yao; Bao-Gang Hu (SIGGRAPH ASIA (Posters), 2017)

Robust Localized Multi-view Subspace Clustering. - Yanbo Fan; Jian Liang 001; Ran He 001; Bao-Gang Hu; Siwei Lyu (CoRR, 2017)

Parameter Identifiability in Statistical Machine Learning: A Review. - Zhi-Yong Ran; Bao-Gang Hu (Neural Comput., 2017)

Centroid-aware local discriminative metric learning in speaker verification. - Kekai Sheng; Weiming Dong; Wei Li; Joseph Razik; Feiyue Huang; Bao-Gang Hu (Pattern Recognit., 2017)

A Coupled Hidden Markov Random Field model for simultaneous face clustering and tracking in videos. - Baoyuan Wu; Bao-Gang Hu; Qiang Ji (Pattern Recognit., 2017)

Robust support vector machines based on the rescaled hinge loss function. - Guibiao Xu; Zheng Cao; Bao-Gang Hu; José C. Príncipe (Pattern Recognit., 2017)

Data-Driven Synthesis of Cartoon Faces Using Different Styles. - Yong Zhang 034; Weiming Dong; Chongyang Ma; Xing Mei; Ke Li 015; Feiyue Huang; Bao-Gang Hu; Oliver Deussen (IEEE Trans. Image Process., 2017)

Weakly-Supervised Deep Convolutional Neural Network Learning for Facial Action Unit Intensity Estimation. - Yong Zhang 034; Weiming Dong; Bao-Gang Hu; Qiang Ji (CVPR, 2018)

Classifier Learning With Prior Probabilities for Facial Action Unit Recognition. - Yong Zhang 034; Weiming Dong; Bao-Gang Hu; Qiang Ji (CVPR, 2018)

Bilateral Ordinal Relevance Multi-Instance Regression for Facial Action Unit Intensity Estimation. - Yong Zhang 034; Rui Zhao 015; Weiming Dong; Bao-Gang Hu; Qiang Ji (CVPR, 2018)

Attention-based Multi-Patch Aggregation for Image Aesthetic Assessment. - Kekai Sheng; Weiming Dong; Chongyang Ma; Xing Mei; Feiyue Huang; Bao-Gang Hu (ACM Multimedia, 2018)

Gourmet photography dataset for aesthetic assessment of food images. - Kekai Sheng; Weiming Dong; Haibin Huang; Chongyang Ma; Bao-Gang Hu (SIGGRAPH Asia Technical Briefs, 2018)

A knowledge-and-data-driven modeling approach for simulating plant growth and the dynamics of CO2/O2 concentrations in a closed system of plants and humans by integrating mechanistic and empirical models. - Xing-Rong Fan; Xiujuan Wang; Meng-Zhen Kang; Jing Hua 002; Shuangsheng Guo; Philippe de Reffye; Bao-Gang Hu (Comput. Electron. Agric., 2018)

Facial Image Attributes Transformation via Conditional Recycle Generative Adversarial Networks. - Huai-Yu Li; Wei-Ming Dong; Bao-Gang Hu (J. Comput. Sci. Technol., 2018)

On connections between Rényi entropy Principal Component Analysis, kernel learning and graph embedding. - Zhi-Yong Ran; Wei Wang 061; Bao-Gang Hu (Pattern Recognit. Lett., 2018)

Robust C-Loss Kernel Classifiers. - Guibiao Xu; Bao-Gang Hu; José C. Príncipe (IEEE Trans. Neural Networks Learn. Syst., 2018)

Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation. - Yong Zhang 034; Baoyuan Wu; Weiming Dong; Zhifeng Li 001; Wei Liu 005; Bao-Gang Hu; Qiang Ji (CVPR, 2019)

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 (ICML, 2019)

Semi-Supervised Deep Neural Network for Joint Intensity Estimation of Multiple Facial Action Units. - Yong Zhang 034; Yanbo Fan; Weiming Dong; Bao-Gang Hu; Qiang Ji (IEEE Access, 2019)

"Ge Shu Zhi Zhi": Towards Deep Understanding about Worlds. - Bao-Gang Hu; Weiming Dong (CoRR, 2019)

Time-consistent estimation of LAI by assimilation in GreenLab plant growth model. - Thomas Corpetti; Xing Gong; Meng-Zhen Kang; Bao-Gang Hu; Laurence Hubert-Moy (Comput. Geosci., 2019)

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 (AAAI, 2020)

Groupwise Ranking Loss for Multi-Label Learning. - Yanbo Fan; Baoyuan Wu; Ran He 001; Bao-Gang Hu; Yong Zhang 034; Siwei Lyu (IEEE Access, 2020)

Generalized Constraints as A New Mathematical Problem in Artificial Intelligence: A Review and Perspective. - Bao-Gang Hu; Han-Bing Qu (CoRR, 2020)

A design of human-like robust AI machines in object identification. - Bao-Gang Hu; Wei-Ming Dong (CoRR, 2021)

Learning to assess visual aesthetics of food images. - Kekai Sheng; Weiming Dong; Haibin Huang; Menglei Chai; Yong Zhang 034; Chongyang Ma; Bao-Gang Hu (Comput. Vis. Media, 2021)

Incremental Concept Learning via Online Generative Memory Recall. - Huai-Yu Li; Weiming Dong; Bao-Gang Hu (IEEE Trans. Neural Networks Learn. Syst., 2021)

Average Top-k Aggregate Loss for Supervised Learning. - Siwei Lyu; Yanbo Fan; Yiming Ying; Bao-Gang Hu (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Towards Corruption-Agnostic Robust Domain Adaptation. - Yifan Xu 008; Kekai Sheng; Weiming Dong; Baoyuan Wu; Changsheng Xu; Bao-Gang Hu (ACM Trans. Multim. Comput. Commun. Appl., 2022)