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

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

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)

Variational Bayesian level set for image segmentation. - Han-Bing Qu; Lin Xiang; Jia-Qiang Wang; Bin Li 053; Hai-Jun Tao (ICMV, 2013)

Robust Point Set Matching under Variational Bayesian Framework. - Han-Bing Qu; Ji-Chao Li; Jia-Qiang Wang; Lin Xiang; Hai-Jun Tao (ICPR, 2014)

Probabilistic point set matching with Gaussian mixture model. - Han-Bing Qu; Jia-Qiang Wang; Bin Li 053; Feng Yue; Wei Jin (IJCNN, 2014)

Visual Saliency Detection for RGB-D Images with Generative Model. - Song-Tao Wang; Zhen Zhou; Han-Bing Qu; Bin Li 053 (ACCV (5), 2016)

RGB-D saliency detection under Bayesian framework. - Song-Tao Wang; Zhen Zhou; Han-Bing Qu; Bin Li 053 (ICPR, 2016)

Emergency Events Classification Based on Minsheng Hotline Unbalanced Short-Text. - Li-Yuan Geng; Wei Jin; Han-Bing Qu (ICBK, 2017)

Probabilistic Model for Robust Affine and Non-Rigid Point Set Matching. - Han-Bing Qu; Jia-Qiang Wang; Bin Li 053; Ming Yu 006 (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

NEWLSTM: An Optimized Long Short-Term Memory Language Model for Sequence Prediction. - Qing Wang 027; Rongqun Peng; Jia-Qiang Wang; Zhi Li; Han-Bing Qu (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)