Han-Bing Qu

13 papers B 4C 1Journal 5Unranked 3
YearRankTypeTitle / Venue / Authors
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
NEWLSTM: An Optimized Long Short-Term Memory Language Model for Sequence Prediction.
IEEE Access
Qing Wang, Rongqun Peng, Jia-Qiang Wang, Zhi Li, Han-Bing Qu
2017 — conf
Emergency Events Classification Based on Minsheng Hotline Unbalanced Short-Text.
ICBK
Li-Yuan Geng, Wei Jin, Han-Bing Qu
2017 J jnl
Probabilistic Model for Robust Affine and Non-Rigid Point Set Matching.
IEEE Trans. Pattern Anal. Mach. Intell.
Han-Bing Qu, Jia-Qiang Wang, Bin Li, Ming Yu
2016 B conf
RGB-D saliency detection under Bayesian framework.
ICPR
Song-Tao Wang, Zhen Zhou, Han-Bing Qu, Bin Li
2016 — conf
Visual Saliency Detection for RGB-D Images with Generative Model.
ACCV (5)
Song-Tao Wang, Zhen Zhou, Han-Bing Qu, Bin Li
2014 B conf
Probabilistic point set matching with Gaussian mixture model.
IJCNN
Han-Bing Qu, Jia-Qiang Wang, Bin Li, Feng Yue, Wei Jin
2014 B conf
Robust Point Set Matching under Variational Bayesian Framework.
ICPR
Han-Bing Qu, Ji-chao Li, Jia-Qiang Wang, Lin Xiang, Hai-Jun Tao
2013 C conf
Variational Bayesian level set for image segmentation.
ICMV
Han-Bing Qu, Lin Xiang, Jia-Qiang Wang, Bin Li, Hai-Jun Tao
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 J jnl
Variational learning for Generalized Associative Functional Networks in modeling dynamic process of plant growth.
Ecol. Informatics
Han-Bing Qu, Bao-Gang Hu
2007 B conf
Variational Bayes Inference for Generalized Associative Functional Networks.
IJCNN
Han-Bing Qu, Bao-Gang Hu
2005 — conf
Associating Neural Networks with Partially Known Relationships for Nonlinear Regressions.
ICIC (1)
Bao-Gang Hu, Han-Bing Qu, Yong Wang