Jun Liang

According to our database, Jun Liang authored at least 20 papers between 2010 and 2022.

Collaborative distances:

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

2022

NLS Based Hierarchical Anti-Disturbance Controller for Vehicle Platoons With Time-Varying Parameter Uncertainties.

Wensa Wang, Jun Liang, Chaofeng Pan, Yingfeng Cai, Long Chen

IEEE Trans. Intell. Transp. Syst., 2022

An Automatic Vehicle Avoidance Control Model for Dangerous Lane-Changing Behavior.

Sensen Cong, Wensa Wang, Jun Liang, Long Chen, Yingfeng Cai

IEEE Trans. Intell. Transp. Syst., 2022

Evaluation and prediction of free driving behavior type based on fuzzy comprehensive support vector machine.

Yucheng Zhao, Jun Liang, Long Chen, Yafei Wang, Jinfeng Gong

J. Intell. Fuzzy Syst., 2022

2020

Security and Privacy in Vehicular Ad Hoc Network and Vehicle Cloud Computing: A Survey.

Muhammad Sameer Sheikh, Jun Liang, Wensong Wang

Wirel. Commun. Mob. Comput., 2020

2019

A Comprehensive Survey on VANET Security Services in Traffic Management System.

Muhammad Sameer Sheikh, Jun Liang

Wirel. Commun. Mob. Comput., 2019

A Survey of Security Services, Attacks, and Applications for Vehicular Ad Hoc Networks (VANETs).

Muhammad Sameer Sheikh, Jun Liang, Wensong Wang

Sensors, 2019

2018

A New Framework of Vehicle Collision Prediction by Combining SVM and HMM.

Xiao-xia Xiong, Long Chen, Jun Liang

IEEE Trans. Intell. Transp. Syst., 2018

Ensemble Learning Multiple LSSVR With Improved Harmony Search Algorithm for Short-Term Traffic Flow Forecasting.

Xiaobo Chen, Xinwen Cai, Jun Liang, Qingchao Liu

IEEE Access, 2018

2017

Ensemble correlation-based low-rank matrix completion with applications to traffic data imputation.

Xiaobo Chen, Zhongjie Wei, Zuoyong Li, Jun Liang, Yingfeng Cai, Bob Zhang

Knowl. Based Syst., 2017

2016

Manifold Regularized Proximal Support Vector Machine via Generalized Eigenvalue.

Jun Liang, Feiyun Zhang, Xiao-xia Xiong, Xiaobo Chen, Long Chen, Guo-hui Lan

Int. J. Comput. Intell. Syst., 2016

2013

Complete large margin linear discriminant analysis using mathematical programming approach.

Xiaobo Chen, Jian Yang, David Zhang, Jun Liang

Pattern Recognit., 2013

Improved twin support vector machine using total margin and graph embedding.

Xiaobo Chen, Qirong Mao, Fei Han, Jun Liang

Proceedings of the Ninth International Conference on Natural Computation, 2013

2012

Discriminant Kernel Learning Using Hybrid Regularization.

Jun Liang, Long Chen, Xiaobo Chen

Neural Process. Lett., 2012

Smooth twin support vector regression.

Xiaobo Chen, Jian Yang, Jun Liang, Qiaolin Ye

Neural Comput. Appl., 2012

A flexible support vector machine for regression.

Xiaobo Chen, Jian Yang, Jun Liang

Neural Comput. Appl., 2012

Recursive robust least squares support vector regression based on maximum correntropy criterion.

Xiaobo Chen, Jian Yang, Jun Liang, Qiaolin Ye

Neurocomputing, 2012

2011

Recursive projection twin support vector machine via within-class variance minimization.

Xiaobo Chen, Jian Yang, Qiaolin Ye, Jun Liang

Pattern Recognit., 2011

Optimal Locality Regularized Least Squares Support Vector Machine via Alternating Optimization.

Xiaobo Chen, Jian Yang, Jun Liang

Neural Process. Lett., 2011

2010

Multi-agent and driving behavior based rear-end collision alarm modeling and simulating.

Jun Liang, Long Chen, Xian-Yi Cheng, Xian-bo Chen

Simul. Model. Pract. Theory, 2010

The study of car rear-end warning model based on MAS and behaviour.

Jun Liang, Long Chen, Xiaobo Chen

Int. J. Comput. Appl. Technol., 2010