Jue Wang

发表

Attribute Reduction of Fuzzy Data Using a Pseudometric Based Resemblance Relation

Daoping Wang, Mingfang Li, Jue Wang, 2009, 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery.

Forecasting crude oil demand using a hybrid SVR and Markov approach

W. Xu, Jian Ma, Jue Wang, 2010 .

Fabrication of sapphire rib waveguides using a femtosecond laser

Zhongsheng Zhai, Jue Wang, Chen Hu, 2019, Optoelectronics Letters.

Marginal Learning Algorithms in Statistical Machine Learning

Jue Wang, Qing Tao, Qing Tao, 2006 .

Nearest manifold approach for face recognition

Stan Z. Li, Junping Zhang, Jue Wang, 2004, Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings..

Geometrical Probability Covering Algorithm

Stan Z. Li, Junping Zhang, Jue Wang, 2005, FSKD.

A New Fuzzy Support Vector Machine Based on the Weighted Margin

Jue Wang, Qing Tao, Qing Tao, 2004, Neural Processing Letters.

A vague set based decision support approach for evaluating research funding programs

Jian Ma, Shouyang Wang, Jue Wang, 2013, Eur. J. Oper. Res..

Artificial Intelligence Platform for Mobile Service Computing

Jue Wang, Yangang Wang, Fang Liu, 2019, J. Signal Process. Syst..

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

Jue Wang, Qing Tao, Gaowei Wu, 2005, Pattern Recognit..

Some Marginal Learning Algorithms for Unsupervised Problems

Fei-Yue Wang, Jue Wang, Qing Tao, 2005, ISI.

Machine Learning: The State of the Art

Jue Wang, Qing Tao, Qing Tao, 2008, IEEE Intelligent Systems.

Crude oil price forecasting based on internet concern using an extreme learning machine

Rob J. Hyndman, Jue Wang, George Athanasopoulos, 2018, International Journal of Forecasting.

Multilevel data summarization from information systems: a "rule + exception" approach

Min Zhao, Kai Zhao, Jue Wang, 2003, AI Commun..

Rough Sets and Their Applications in Data Mining

Jue Wang, Jue Wang, 1999 .

Rule+Exception Modeling Based on Rough Set Theory

Jue Wang, Yujian Zhou, Jue Wang, 1998, Rough Sets and Current Trends in Computing.

"Rule + Exception" Strategies for Knowledge Management and Discovery

Yiyu Yao, Fei-Yue Wang, Jue Wang, 2005, RSFDGrC.

Rough set over dual-universes in intuitionistic fuzzy approximation space and its application

Jue Wang, Hai-Long Yang, Zhi-Lian Guo, 2015, J. Intell. Fuzzy Syst..

Bipolar fuzzy rough set model on two different universes and its application

Shouyang Wang, Sheng-Gang Li, Jue Wang, 2012, Knowl. Based Syst..

Rough set and Tabu search based feature selection for credit scoring

Shouyang Wang, Kun Guo, Jue Wang, 2010, ICCS.

Scatter Search for Rough Set Attribute Reduction

Shouyang Wang, Abdel-Rahman Hedar, Jue Wang, 2007, 2009 International Joint Conference on Computational Sciences and Optimization.

Tabu search for attribute reduction in rough set theory

Masao Fukushima, Abdel-Rahman Hedar, Jue Wang, 2008, Soft Comput..

User-Oriented Feature Selection for Machine Learning

Yiyu Yao, Hongli Liang, Jue Wang, 2007, Comput. J..

A New Hybrid Approach for Analysis of Factors Affecting Crude Oil Price

Wei Xu, Wen Zhang, Shouyang Wang, 2007, International Conference on Computational Science.

On Reduct Construction Algorithms

Yiyu Yao, Yan Zhao, Jue Wang, 2006, Trans. Comput. Sci..

Fuzzy probabilistic rough set model on two universes and its applications

Shouyang Wang, Xiuwu Liao, Jue Wang, 2013, Int. J. Approx. Reason..

Discernibility Matrix Approach to Exception Analysis

Min Zhao, Jue Wang, Jue Wang, 2002, Rough Sets and Current Trends in Computing.

A N–N optimization model for logistic resources allocation with multiple logistic tasks under demand uncertainty

Jing Liu, Xiaofeng Xu, Jue Wang, 2018, Soft Comput..

Manifold Learning and Applications in Recognition

Stan Z. Li, Jue Wang, Junping Zhang, 2005 .

Diverse Demands Estimation and Ranking Based on User Behaviors

Fang Liu, Shigang Li, Shuo Li, 2018, High-Performance Computing Applications in Numerical Simulation and Edge Computing.

Local Peculiarity Oriented Data Mining and its Application in Outlier Detection

Yiyu Yao, Ning Zhong, Jian Yang, 2012, Int. J. Inf. Technol. Decis. Mak..

A transductive framework of distance metric learning by spectral dimensionality reduction

Jian Yang, Fuxin Li, Jue Wang, 2007, ICML '07.

Multi-task transportation scheduling model with backhauls based on hub and spoke in collaborative logistics network

Xiaofeng Xu, Jue Wang, Yuping Sun, 2019, J. Ambient Intell. Humaniz. Comput..

Posterior probability support vector Machines for unbalanced data

Fei-Yue Wang, Jue Wang, Qing Tao, 2005, IEEE Transactions on Neural Networks.

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

Min Zhao, Hang Li, Jue Wang, 2006, AIRS.

Brain activation detection by neighborhood one-class SVM

Yiyu Yao, Ning Zhong, Jian Yang, 2007, Cognitive Systems Research.

Energy Demand Forecast in China Based on Wavelet Neural Network

Li Jiang, Jue Wang, Jue Wang, 2009, 2009 Second International Workshop on Computer Science and Engineering.

Robust sparse rank learning for non-smooth ranking measures

Tao Qin, Jue Wang, Zhengya Sun, 2009, SIGIR.

Reducing Position-Sensitive Subset Ranking to Classification

Wei Jin, Jue Wang, Zhengya Sun, 2011, Canadian Conference on AI.

Nonlinear Blind Source Separation Using Slow Feature Analysis with Random Features

Jue Wang, Qing Tao, Kuijun Ma, 2010, 2010 20th International Conference on Pattern Recognition.

Analysis on attribute reduction strategies of rough set

Duoqian Miao, Jue Wang, D. Miao, 1998, Journal of Computer Science and Technology.

Local Peculiarity Oriented Data Mining and its Application in Outlier Detection

Yiyu Yao, Jue Wang, Jian Yang, 2012, Int. J. Inf. Technol. Decis. Mak..

Record-level peculiarity-based data analysis and classifications

Yiyu Yao, Ning Zhong, Jian Yang, 2011, Knowledge and Information Systems.

Peculiarity Analysis for Classifications

Yiyu Yao, Ning Zhong, Jian Yang, 2009, 2009 Ninth IEEE International Conference on Data Mining.

The theoretical analysis of FDA and applications

Jue Wang, Qing Tao, Gao-wei Wu, 2006, Pattern Recognit..

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

Jue Wang, Qing Tao, Gao-wei Wu, 2004, Pattern Recognit. Lett..

Artificial Intelligence Platform for Heterogeneous Computing

Fang Liu, Jue Wang, Ke Xu, 2018, SmartCom.

Generic subset ranking using binary classifiers

Wei Jin, Jue Wang, Zhengya Sun, 2012, Theor. Comput. Sci..