Jue Wang

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 4

Top Topics

Latent Dirichlet Allocation

Statistical Relational

Efficient Learning

Markov Logic Networks

Top Venues

Int. J. Approx. Reason.

AAAI Workshop: Statistical Relational Artificial Intelligence

Publications

Zhangyang Gao, Jue Wang, Cheng Tan, Lirong Wu, Yufei Huang, Siyuan Li, Zhirui Ye, Stan Z. Li
UniIF: Unified Molecule Inverse Folding. CoRR (2024)
Zhangyang Gao, Cheng Tan, Jue Wang, Yufei Huang, Lirong Wu, Stan Z. Li
FoldToken: Learning Protein Language via Vector Quantization and Beyond. CoRR (2024)
Cheng Tan, Jue Wang, Zhangyang Gao, Siyuan Li, Lirong Wu, Jun Xia, Stan Z. Li
Revisiting the Temporal Modeling in Spatio-Temporal Predictive Learning under A Unified View. CoRR (2023)
Zhengya Sun, Yangyang Zhao, Zhuoyu Wei, Wensheng Zhang, Jue Wang
Scalable learning and inference in Markov logic networks. Int. J. Approx. Reason. 82 (2017)
Lei Wu, Wensheng Zhang, Jue Wang
Fusion Hidden Markov Model with Latent Dirichlet Allocation Model in Heterogeneous Domains. ICIMCS (2014)
Zhengya Sun, Zhuoyu Wei, Jue Wang, Hongwei Hao
Scalable Learning for Structure in Markov Logic Networks. AAAI Workshop: Statistical Relational Artificial Intelligence (2014)
Lei Wu, Yinghua Zhang, Wensheng Zhang, Jue Wang
Combining Conditional Random Fields and first-order logic for modeling hidden content structure in sentiment analysis. ICNC (2013)
Zhengya Sun, Wei Jin, Jue Wang
Generic subset ranking using binary classifiers. Theor. Comput. Sci. 456 (2012)
Zhengya Sun, Wei Jin, Jue Wang
Reducing Position-Sensitive Subset Ranking to Classification. Canadian Conference on AI (2011)
Yanjun Han, Qing Tao, Jue Wang
Avoiding False Positive in Multi-Instance Learning. NIPS (2010)
Kuijun Ma, Qing Tao, Jue Wang
Nonlinear Blind Source Separation Using Slow Feature Analysis with Random Features. ICPR (2010)
Zhengya Sun, Tao Qin, Qing Tao, Jue Wang
Robust sparse rank learning for non-smooth ranking measures. SIGIR (2009)
Yiyu Yao, Yan Zhao, Jue Wang, Suqing Han
A Model of User-Oriented Reduct Construction for Machine Learning. Trans. Rough Sets 8 (2008)
Fen Xia, Tie-Yan Liu, Jue Wang, Wensheng Zhang, Hang Li
Listwise approach to learning to rank: theory and algorithm. ICML (2008)
Qing Tao, Gao-wei Wu, Jue Wang
-norm penalty. Pattern Recognit. 41 (3) (2008)
Jue Wang, Qing Tao
Machine Learning: The State of the Art. IEEE Intell. Syst. 23 (6) (2008)
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
AI in China: A Survey. IEEE Intell. Syst. 23 (6) (2008)
Qing Tao, Gao-wei Wu, Jue Wang
Learning linear PCA with convex semi-definite programming. Pattern Recognit. 40 (10) (2007)
Fen Xia, Qing Tao, Jue Wang, Wensheng Zhang
Recursive Feature Extraction for Ordinal Regression. IJCNN (2007)
Min Zhao, Suqing Han, Jue Wang
Tree Expressions for Information Systems. J. Comput. Sci. Technol. 22 (2) (2007)
Fen Xia, Wensheng Zhang, Jue Wang
An Effective Tree-Based Algorithm for Ordinal Regression. IEEE Intell. Informatics Bull. 7 (1) (2006)
Jue Wang, Fei-Yue Wang, Daniel Dajun Zeng
Rule+Exception Learning-Based Class Specification and Labeling in Intelligence and Security Analysis. WISI (2006)
Qing Tao, Gao-wei Wu, Jue Wang
One-Class Strategies for Security Information Detection. WISI (2006)
Qing Tao, Gao-wei Wu, Jue Wang
The theoretical analysis of FDA and applications. Pattern Recognit. 39 (6) (2006)
Min Zhao, Hang Li, Adwait Ratnaparkhi, Hsiao-Wuen Hon, Jue Wang
Adapting Document Ranking to Users' Preferences Using Click-Through Data. AIRS (2006)
Yiyu Yao, Yan Zhao, Jue Wang, Suqing Han
A Model of Machine Learning Based on User Preference of Attributes. RSCTC (2006)
Suqing Han, Jue Wang
Second Attribute Algorithm Based on Tree Expression. J. Comput. Sci. Technol. 21 (3) (2006)
Qing Tao, Gao-wei Wu, Fei-Yue Wang, Jue Wang
Some Marginal Learning Algorithms for Unsupervised Problems. ISI (2005)
Qing Tao, Gao-wei Wu, Jue Wang
A new maximum margin algorithm for one-class problems and its boosting implementation. Pattern Recognit. 38 (7) (2005)
Yiyu Yao, Fei-Yue Wang, Jue Wang
"Rule + Exception" Strategies for Knowledge Management and Discovery. RSFDGrC (2) (2005)
Qing Tao, Gao-wei Wu, Fei-Yue Wang, Jue Wang
Posterior probability support vector Machines for unbalanced data. IEEE Trans. Neural Networks 16 (6) (2005)
Suqing Han, Jue Wang
The Second Attribute. RSFDGrC (1) (2005)
Yiyu Yao, Fei-Yue Wang, Jue Wang, Daniel Dajun Zeng
Rule + Exception Strategies for Security Information Analysis. IEEE Intell. Syst. 20 (5) (2005)
Qing Tao, Jue Wang
A New Fuzzy Support Vector Machine Based on the Weighted Margin. Neural Process. Lett. 20 (3) (2004)
Suqing Han, Jue Wang
Reduct and Attribute Order. J. Comput. Sci. Technol. 19 (4) (2004)
Qing Tao, Gao-wei Wu, Jue Wang
A generalized S-K algorithm for learning v-SVM classifiers. Pattern Recognit. Lett. 25 (10) (2004)
Jue Wang, Min Zhao, Kai Zhao, Suqing Han
Multilevel data summarization from information systems: a "rule + exception" approach. AI Commun. 16 (1) (2003)
Jiaqi Wang, Qing Tao, Jue Wang
Kernel Projection Algorithm for Large-Scale SVM Problems. J. Comput. Sci. Technol. 17 (5) (2002)
Kai Zhao, Jue Wang
A Reduction Algorithm Meeting Users' Requirements. J. Comput. Sci. Technol. 17 (5) (2002)
Min Zhao, Jue Wang
Discernibility Matrix Approach to Exception Analysis. Rough Sets and Current Trends in Computing (2002)