Han-Bing Qu

Orcid: 0000-0002-5603-8572

According to our database1, Han-Bing Qu authored at least 14 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
ELSTM: An improved long short-term memory network language model for sequence learning.
Expert Syst. J. Knowl. Eng., June, 2024

2020
Generalized Constraints as A New Mathematical Problem in Artificial Intelligence: A Review and Perspective.
CoRR, 2020

NEWLSTM: An Optimized Long Short-Term Memory Language Model for Sequence Prediction.
IEEE Access, 2020

2017
Probabilistic Model for Robust Affine and Non-Rigid Point Set Matching.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Emergency Events Classification Based on Minsheng Hotline Unbalanced Short-Text.
Proceedings of the IEEE International Conference on Big Knowledge, 2017

2016
RGB-D saliency detection under Bayesian framework.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Visual Saliency Detection for RGB-D Images with Generative Model.
Proceedings of the Computer Vision - ACCV 2016, 2016

2014
Probabilistic point set matching with Gaussian mixture model.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Robust Point Set Matching under Variational Bayesian Framework.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013
Variational Bayesian level set for image segmentation.
Proceedings of the Sixth International Conference on Machine Vision, 2013

2009
A generalized-constraint neural network model: Associating partially known relationships for nonlinear regressions.
Inf. Sci., 2009

Variational learning for Generalized Associative Functional Networks in modeling dynamic process of plant growth.
Ecol. Informatics, 2009

2007
Variational Bayes Inference for Generalized Associative Functional Networks.
Proceedings of the International Joint Conference on Neural Networks, 2007

2005
Associating Neural Networks with Partially Known Relationships for Nonlinear Regressions.
Proceedings of the Advances in Intelligent Computing, 2005


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