Han-Bing Qu

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 7

Top Topics

Saliency Detection

Salient Regions

Gaussian Mixture

Bayesian Framework

Top Venues

Expert Syst. J. Knowl. Eng.

Publications

Zhi Li, Qing Wang, Jia-Qiang Wang, Han-Bing Qu, Jichang Dong, Zhi Dong
ELSTM: An improved long short-term memory network language model for sequence learning. Expert Syst. J. Knowl. Eng. 41 (6) (2024)
Qing Wang, Rongqun Peng, Jia-Qiang Wang, Zhi Li, Han-Bing Qu
NEWLSTM: An Optimized Long Short-Term Memory Language Model for Sequence Prediction. IEEE Access 8 (2020)
Bao-Gang Hu, Han-Bing Qu
Generalized Constraints as A New Mathematical Problem in Artificial Intelligence: A Review and Perspective. CoRR (2020)
Li-Yuan Geng, Wei Jin, Han-Bing Qu
Emergency Events Classification Based on Minsheng Hotline Unbalanced Short-Text. ICBK (2017)
Han-Bing Qu, Jia-Qiang Wang, Bin Li, Ming Yu
Probabilistic Model for Robust Affine and Non-Rigid Point Set Matching. IEEE Trans. Pattern Anal. Mach. Intell. 39 (2) (2017)
Song-Tao Wang, Zhen Zhou, Han-Bing Qu, Bin Li
RGB-D saliency detection under Bayesian framework. ICPR (2016)
Song-Tao Wang, Zhen Zhou, Han-Bing Qu, Bin Li
Visual Saliency Detection for RGB-D Images with Generative Model. ACCV (5) (2016)
Han-Bing Qu, Ji-Chao Li, Jia-Qiang Wang, Lin Xiang, Hai-Jun Tao
Robust Point Set Matching under Variational Bayesian Framework. ICPR (2014)
Han-Bing Qu, Jia-Qiang Wang, Bin Li, Feng Yue, Wei Jin
Probabilistic point set matching with Gaussian mixture model. IJCNN (2014)
Han-Bing Qu, Lin Xiang, Jia-Qiang Wang, Bin Li, Hai-Jun Tao
Variational Bayesian level set for image segmentation. ICMV (2013)
Han-Bing Qu, Bao-Gang Hu
Variational learning for Generalized Associative Functional Networks in modeling dynamic process of plant growth. Ecol. Informatics 4 (3) (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) (2009)
Han-Bing Qu, Bao-Gang Hu
Variational Bayes Inference for Generalized Associative Functional Networks. IJCNN (2007)
Bao-Gang Hu, Han-Bing Qu, Yong Wang
Associating Neural Networks with Partially Known Relationships for Nonlinear Regressions. ICIC (1) (2005)