Jue Wang

Affiliations:
  • Chinese Academy of Sciences, Institute of Automation, Beijing, China


According to our database1, Jue Wang authored at least 56 papers between 2002 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
UniIF: Unified Molecule Inverse Folding.
CoRR, 2024

FoldToken: Learning Protein Language via Vector Quantization and Beyond.
CoRR, 2024

2023
MetaScenario: A Framework for Driving Scenario Data Description, Storage and Indexing.
IEEE Trans. Intell. Veh., February, 2023

Revisiting the Temporal Modeling in Spatio-Temporal Predictive Learning under A Unified View.
CoRR, 2023

2021
F-Net: Fusion Neural Network for Vehicle Trajectory Prediction in Autonomous Driving.
Proceedings of the IEEE International Conference on Acoustics, 2021

2017
Scalable learning and inference in Markov logic networks.
Int. J. Approx. Reason., 2017

2016
Universal Demosaicking of Color Filter Arrays.
IEEE Trans. Image Process., 2016

2014
Fusion Hidden Markov Model with Latent Dirichlet Allocation Model in Heterogeneous Domains.
Proceedings of the International Conference on Internet Multimedia Computing and Service, 2014

Scalable Learning for Structure in Markov Logic Networks.
Proceedings of the Statistical Relational Artificial Intelligence, 2014

2013
Combining Conditional Random Fields and first-order logic for modeling hidden content structure in sentiment analysis.
Proceedings of the Ninth International Conference on Natural Computation, 2013

2012
Generic subset ranking using binary classifiers.
Theor. Comput. Sci., 2012

Local Peculiarity Oriented Data Mining and its Application in Outlier Detection.
Int. J. Inf. Technol. Decis. Mak., 2012

2011
Record-level peculiarity-based data analysis and classifications.
Knowl. Inf. Syst., 2011

New color filter arrays of high light sensitivity and high demosaicking performance.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Reducing Position-Sensitive Subset Ranking to Classification.
Proceedings of the Advances in Artificial Intelligence, 2011

2010
Manifold Learning for Visualizing and Analyzing High-Dimensional Data.
IEEE Intell. Syst., 2010

Brain activation detection by neighborhood one-class SVM.
Cogn. Syst. Res., 2010

Avoiding False Positive in Multi-Instance Learning.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Nonlinear Blind Source Separation Using Slow Feature Analysis with Random Features.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009
Robust sparse rank learning for non-smooth ranking measures.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

An l1 Regularization Framework for Optimal Rule Combination.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Peculiarity Analysis for Classifications.
Proceedings of the ICDM 2009, 2009

2008
A Model of User-Oriented Reduct Construction for Machine Learning.
Trans. Rough Sets, 2008

On Reduct Construction Algorithms.
Trans. Comput. Sci., 2008

A general soft method for learning SVM classifiers with L<sub>1</sub>-norm penalty.
Pattern Recognit., 2008

Machine Learning: The State of the Art.
IEEE Intell. Syst., 2008

AI in China: A Survey.
IEEE Intell. Syst., 2008

Local peculiarity factor and its application in outlier detection.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Listwise approach to learning to rank: theory and algorithm.
Proceedings of the Machine Learning, 2008

2007
Learning linear PCA with convex semi-definite programming.
Pattern Recognit., 2007

Tree Expressions for Information Systems.
J. Comput. Sci. Technol., 2007

User-Oriented Feature Selection for Machine Learning.
Comput. J., 2007

Recursive Feature Extraction for Ordinal Regression.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
The theoretical analysis of FDA and applications.
Pattern Recognit., 2006

Second Attribute Algorithm Based on Tree Expression.
J. Comput. Sci. Technol., 2006

An Effective Tree-Based Algorithm for Ordinal Regression.
IEEE Intell. Informatics Bull., 2006

Rule+Exception Learning-Based Class Specification and Labeling in Intelligence and Security Analysis.
Proceedings of the Intelligence and Security Informatics, International Workshop, 2006

One-Class Strategies for Security Information Detection.
Proceedings of the Intelligence and Security Informatics, International Workshop, 2006

A Model of Machine Learning Based on User Preference of Attributes.
Proceedings of the Rough Sets and Current Trends in Computing, 2006

Adapting Document Ranking to Users' Preferences Using Click-Through Data.
Proceedings of the Information Retrieval Technology, 2006

2005
Posterior probability support vector Machines for unbalanced data.
IEEE Trans. Neural Networks, 2005

A new maximum margin algorithm for one-class problems and its boosting implementation.
Pattern Recognit., 2005

Rule + Exception Strategies for Security Information Analysis.
IEEE Intell. Syst., 2005

"Rule + Exception" Strategies for Knowledge Management and Discovery.
Proceedings of the Rough Sets, 2005

The Second Attribute.
Proceedings of the Rough Sets, 2005

Some Marginal Learning Algorithms for Unsupervised Problems.
Proceedings of the Intelligence and Security Informatics, 2005

Geometrical Probability Covering Algorithm.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

2004
Freeway traffic stream modeling based on principal curves and its analysis.
IEEE Trans. Intell. Transp. Syst., 2004

A generalized S-K algorithm for learning v-SVM classifiers.
Pattern Recognit. Lett., 2004

A New Fuzzy Support Vector Machine Based on the Weighted Margin.
Neural Process. Lett., 2004

Reduct and Attribute Order.
J. Comput. Sci. Technol., 2004

Nearest Manifold Approach for Face Recognition.
Proceedings of the Sixth IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2004), 2004

2003
Multilevel data summarization from information systems: a "rule + exception" approach.
AI Commun., 2003

2002
A Reduction Algorithm Meeting Users' Requirements.
J. Comput. Sci. Technol., 2002

Kernel Projection Algorithm for Large-Scale SVM Problems.
J. Comput. Sci. Technol., 2002

Discernibility Matrix Approach to Exception Analysis.
Proceedings of the Rough Sets and Current Trends in Computing, 2002


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