Jue Wang

According to our database, Jue Wang authored at least 50 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

FoldToken: Learning Protein Language via Vector Quantization and Beyond.

Zhangyang Gao, Cheng Tan, Jue Wang, Yufei Huang, Lirong Wu, Stan Z. Li

CoRR, 2024

2023

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

Cheng Tan, Jue Wang, Zhangyang Gao, Siyuan Li, Lirong Wu, Jun Xia, Stan Z. Li

CoRR, 2023

2017

Scalable learning and inference in Markov logic networks.

Zhengya Sun, Yangyang Zhao, Zhuoyu Wei, Wensheng Zhang, Jue Wang

Int. J. Approx. Reason., 2017

2014

Fusion Hidden Markov Model with Latent Dirichlet Allocation Model in Heterogeneous Domains.

Lei Wu, Wensheng Zhang, Jue Wang

Proceedings of the International Conference on Internet Multimedia Computing and Service, 2014

Scalable Learning for Structure in Markov Logic Networks.

Zhengya Sun, Zhuoyu Wei, Jue Wang, Hongwei Hao

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.

Lei Wu, Yinghua Zhang, Wensheng Zhang, Jue Wang

Proceedings of the Ninth International Conference on Natural Computation, 2013

2012

Generic subset ranking using binary classifiers.

Zhengya Sun, Wei Jin, Jue Wang

Theor. Comput. Sci., 2012

Local Peculiarity Oriented Data Mining and its Application in Outlier Detection.

Jian Yang, Ning Zhong, Yiyu Yao, Jue Wang

Int. J. Inf. Technol. Decis. Mak., 2012

2011

Record-level peculiarity-based data analysis and classifications.

Jian Yang, Ning Zhong, Yiyu Yao, Jue Wang

Knowl. Inf. Syst., 2011

Reducing Position-Sensitive Subset Ranking to Classification.

Zhengya Sun, Wei Jin, Jue Wang

Proceedings of the Advances in Artificial Intelligence, 2011

2010

Manifold Learning for Visualizing and Analyzing High-Dimensional Data.

Junping Zhang, Hua Huang, Jue Wang

IEEE Intell. Syst., 2010

Brain activation detection by neighborhood one-class SVM.

Jian Yang, Ning Zhong, Peipeng Liang, Jue Wang, Yiyu Yao, Shengfu Lu

Cogn. Syst. Res., 2010

Avoiding False Positive in Multi-Instance Learning.

Yanjun Han, Qing Tao, Jue Wang

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.

Kuijun Ma, Qing Tao, Jue Wang

Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009

Robust sparse rank learning for non-smooth ranking measures.

Zhengya Sun, Tao Qin, Qing Tao, Jue Wang

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.

Yanjun Han, Jue Wang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Peculiarity Analysis for Classifications.

Jian Yang, Ning Zhong, Yiyu Yao, Jue Wang

Proceedings of the ICDM 2009, 2009

2008

A Model of User-Oriented Reduct Construction for Machine Learning.

Yiyu Yao, Yan Zhao, Jue Wang, Suqing Han

Trans. Rough Sets, 2008

On Reduct Construction Algorithms.

Yiyu Yao, Yan Zhao, Jue Wang

Trans. Comput. Sci., 2008

A general soft method for learning SVM classifiers with L₁-norm penalty.

Qing Tao, Gao-wei Wu, Jue Wang

Pattern Recognit., 2008

Machine Learning: The State of the Art.

Jue Wang, Qing Tao

IEEE Intell. Syst., 2008

AI in China: A Survey.

Xiao-Shan Gao, Dantong Ouyang, Ji-gui Sun, Sanjiang Li, Tian-shun Yao, Ruzhan Lu, Chun-Yi Shi, Zhangang Han, Jue Wang, Cun-gen Cao, Ruqian Lu

IEEE Intell. Syst., 2008

Local peculiarity factor and its application in outlier detection.

Jian Yang, Ning Zhong, Yiyu Yao, Jue Wang

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Listwise approach to learning to rank: theory and algorithm.

Fen Xia, Tie-Yan Liu, Jue Wang, Wensheng Zhang, Hang Li

Proceedings of the Machine Learning, 2008

2007

Learning linear PCA with convex semi-definite programming.

Qing Tao, Gao-wei Wu, Jue Wang

Pattern Recognit., 2007

Tree Expressions for Information Systems.

Min Zhao, Suqing Han, Jue Wang

J. Comput. Sci. Technol., 2007

Recursive Feature Extraction for Ordinal Regression.

Fen Xia, Qing Tao, Jue Wang, Wensheng Zhang

Proceedings of the International Joint Conference on Neural Networks, 2007

2006

The theoretical analysis of FDA and applications.

Qing Tao, Gao-wei Wu, Jue Wang

Pattern Recognit., 2006

Second Attribute Algorithm Based on Tree Expression.

Suqing Han, Jue Wang

J. Comput. Sci. Technol., 2006

An Effective Tree-Based Algorithm for Ordinal Regression.

Fen Xia, Wensheng Zhang, Jue Wang

IEEE Intell. Informatics Bull., 2006

Rule+Exception Learning-Based Class Specification and Labeling in Intelligence and Security Analysis.

Jue Wang, Fei-Yue Wang, Daniel Dajun Zeng

Proceedings of the Intelligence and Security Informatics, International Workshop, 2006

One-Class Strategies for Security Information Detection.

Qing Tao, Gao-wei Wu, Jue Wang

Proceedings of the Intelligence and Security Informatics, International Workshop, 2006

A Model of Machine Learning Based on User Preference of Attributes.

Yiyu Yao, Yan Zhao, Jue Wang, Suqing Han

Proceedings of the Rough Sets and Current Trends in Computing, 2006

Adapting Document Ranking to Users' Preferences Using Click-Through Data.

Min Zhao, Hang Li, Adwait Ratnaparkhi, Hsiao-Wuen Hon, Jue Wang

Proceedings of the Information Retrieval Technology, 2006

2005

Posterior probability support vector Machines for unbalanced data.

Qing Tao, Gao-wei Wu, Fei-Yue Wang, Jue Wang

IEEE Trans. Neural Networks, 2005

A new maximum margin algorithm for one-class problems and its boosting implementation.

Qing Tao, Gao-wei Wu, Jue Wang

Pattern Recognit., 2005

Rule + Exception Strategies for Security Information Analysis.

Yiyu Yao, Fei-Yue Wang, Jue Wang, Daniel Dajun Zeng

IEEE Intell. Syst., 2005

"Rule + Exception" Strategies for Knowledge Management and Discovery.

Yiyu Yao, Fei-Yue Wang, Jue Wang

Proceedings of the Rough Sets, 2005

The Second Attribute.

Suqing Han, Jue Wang

Proceedings of the Rough Sets, 2005

Some Marginal Learning Algorithms for Unsupervised Problems.

Qing Tao, Gao-wei Wu, Fei-Yue Wang, Jue Wang

Proceedings of the Intelligence and Security Informatics, 2005

Geometrical Probability Covering Algorithm.

Junping Zhang, Stan Z. Li, Jue Wang

Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

2004

Freeway traffic stream modeling based on principal curves and its analysis.

Dewang Chen, Junping Zhang, Shuming Tang, Jue Wang

IEEE Trans. Intell. Transp. Syst., 2004

A generalized S-K algorithm for learning v-SVM classifiers.

Qing Tao, Gao-wei Wu, Jue Wang

Pattern Recognit. Lett., 2004

A New Fuzzy Support Vector Machine Based on the Weighted Margin.

Qing Tao, Jue Wang

Neural Process. Lett., 2004

Reduct and Attribute Order.

Suqing Han, Jue Wang

J. Comput. Sci. Technol., 2004

Nearest Manifold Approach for Face Recognition.

Junping Zhang, Stan Z. Li, Jue Wang

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.

Jue Wang, Min Zhao, Kai Zhao, Suqing Han

AI Commun., 2003

2002

A Reduction Algorithm Meeting Users' Requirements.

Kai Zhao, Jue Wang

J. Comput. Sci. Technol., 2002

Kernel Projection Algorithm for Large-Scale SVM Problems.

Jiaqi Wang, Qing Tao, Jue Wang

J. Comput. Sci. Technol., 2002

Discernibility Matrix Approach to Exception Analysis.

Min Zhao, Jue Wang

Proceedings of the Rough Sets and Current Trends in Computing, 2002