Xun Liang

According to our database1, Xun Liang
  • authored at least 49 papers between 1993 and 2018.
  • has a "Dijkstra number"2 of five.

Timeline

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Bibliography

2018
Fast-Solving Quasi-Optimal LS-S3VM Based on an Extended Candidate Set.
IEEE Trans. Neural Netw. Learning Syst., 2018

Simulating the future urban growth in Xiongan New Area: a upcoming big city in China.
CoRR, 2018

A Multiple Kernel Learning Model Based on p-Norm.
Comp. Int. and Neurosc., 2018

2017
Learning distributed representations for large-scale dynamic social networks.
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

2016
Cross-Platform Identification of Anonymous Identical Users in Multiple Social Media Networks.
IEEE Trans. Knowl. Data Eng., 2016

Sparse Subspace Clustering via Closure Subgraph Based on Directed Graph.
Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016

A Time Series Forecasting Model Based on Deep Learning Integrated Algorithm with Stacked Autoencoders and SVR for FX Prediction.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

Learning Structural Features of Nodes in Large-Scale Networks for Link Prediction.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Discerning the Trend: Concealing Deceptive Reviews.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

A Novel Edge Weighting Method to Enhance Network Community Detection.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Emergency Decision Support Architectures for Bus Hijacking Based on Massive Image Anomaly Detection in Social Networks.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

A Succinct Distributive Big Data Clustering Algorithm Based on Local-Remote Coordination.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Mining gold in senior executives' pockets: An online automatically trading strategy.
Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015

2014
A Collaborative Method of Aggregating Group Opinion Based on Incomplete Preferences.
Proceedings of the 18th Pacific Asia Conference on Information Systems, 2014

Features Extraction and Reconstruction of Country Risk based on Empirical EMD.
Proceedings of the Second International Conference on Information Technology and Quantitative Management, 2014

A Novel Forecasting Method for Large-Scale Sales Prediction Using Extreme Learning Machine.
Proceedings of the Seventh International Joint Conference on Computational Sciences and Optimization, 2014

2013
Fast pruning superfluous support vectors in SVMs.
Pattern Recognition Letters, 2013

The coordinate descent method with stochastic optimization for linear support vector machines.
Neural Computing and Applications, 2013

Associating stock prices with web financial information time series based on support vector regression.
Neurocomputing, 2013

Collaborative Aggregation of Individual Rating for Group Evaluation.
Proceedings of the 17th Pacific Asia Conference on Information Systems, 2013

2012
Research on Viral Marketing Propagating Oriented to Marketing Context.
Proceedings of the International Conference on Information Systems, 2012

Stock Price Forecasting with Support Vector Machines Based on Web Financial Information Sentiment Analysis.
Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012

2011
Hyperellipsoidal Statistical Classifications in a Reproducing Kernel Hilbert Space.
IEEE Trans. Neural Networks, 2011

Solving Support Vector Machines beyond Dual Programming.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Stock Market Forecasting based on Wavelet and Least Squares Support Vector Machine.
Proceedings of the ICEIS 2011, 2011

CRM business cloud computing.
Proceedings of the 2011 International Conference on Innovative Computing and Cloud Computing, 2011

2010
An effective method of pruning support vector machine classifiers.
IEEE Trans. Neural Networks, 2010

A unified mathematical form for removing neurons based on orthogonal projection and crosswise propagation.
Neural Computing and Applications, 2010

Feature space versus empirical kernel map and row kernel space in SVMs.
Neural Computing and Applications, 2010

2009
Separating hypersurfaces of SVMs in input spaces.
Pattern Recognition Letters, 2009

Improving option price forecasts with neural networks and support vector regressions.
Neurocomputing, 2009

A Simple Method of Forecasting Option Prices Based on Neural Networks.
Proceedings of the Next-Generation Applied Intelligence, 2009

2008
Pruning Support Vector Machines Without Altering Performances.
IEEE Trans. Neural Networks, 2008

An architecture-adaptive neural network online control system.
Neural Computing and Applications, 2008

Pricing local search engines for company websites.
Electronic Commerce Research and Applications, 2008

2007
Removal of hidden neurons in multilayer perceptrons by orthogonal projection and weight crosswise propagation.
Neural Computing and Applications, 2007

The valuation of china venture capital guiding fund policy based on options model.
Proceedings of the IEEE International Conference on Systems, 2007

2006
Neural Network Method to Predict Stock Price Movement Based on Stock Information Entropy.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Pricing Options in Hong Kong Market Based on Neural Networks.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

2005
Optimal Pricing for Web Search Engines.
Proceedings of the Internet and Network Economics, First International Workshop, 2005

Impacts of Internet Stock News on Stock Markets Based on Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Complexity of Error Hypersurfaces in Multilayer Perceptrons with General Multi-input and Multi-output Architecture.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Learning Causal Structures Based on Markov Equivalence Class.
Proceedings of the Algorithmic Learning Theory, 16th International Conference, 2005

Mathematical Analysis of Classifying Convex Clusters Based on Support Functionals.
Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005

An Approach to Mining Local Causal Relationships from Databases.
Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005

2004
Complexity Of Error Hypersurfaces In Multilayer Perceptrons.
Int. J. Neural Syst., 2004

1995
How to solve the N-bit encoder problem with one hidden unit and polynomially increasing weights and thresholds.
Neurocomputing, 1995

Methods of training and constructing multilayer perceptrons with arbitrary pattern sets.
Int. J. Neural Syst., 1995

1993
Method of digging tunnels into the error hypersurface.
Neural Parallel & Scientific Comp., 1993


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