Jun Liang

Orcid: 0000-0003-1115-0824

Affiliations:

Zhejiang University, State Key Laboratory of Industrial Control Technology, Hangzhou, China

According to our database¹, Jun Liang authored at least 14 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Exact Obstacle Avoidance for Autonomous Vehicles in Polygonal Domains.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., October, 2024

2023

Efficient optimization-based trajectory planning.

[BibT_eX]

[DOI]

Jiayu Fan

Nikolce Murgovski

Jun Liang

CoRR, 2023

Efficient collision avoidance for autonomous vehicles in polygonal domains.

[BibT_eX]

[DOI]

Jiayu Fan

Nikolce Murgovski

Jun Liang

CoRR, 2023

2021

A novel density peaks clustering algorithm based on K nearest neighbors with adaptive merging strategy.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2021

2020

Representation learning via a semi-supervised stacked distance autoencoder for image classification.

[BibT_eX]

[DOI]

Frontiers Inf. Technol. Electron. Eng., 2020

Active Fault Tolerant Control of Adaptive Cruise Control System Considering Vehicle-Borne Millimeter Wave Radar Sensor Failure.

[BibT_eX]

[DOI]

Hua Zhang

Jun Liang

Zhiyuan Zhang

IEEE Access, 2020

Monocular Depth Estimation Based on Multi-Scale Graph Convolution Networks.

[BibT_eX]

[DOI]

Junwei Fu

Jun Liang

Ziyang Wang

IEEE Access, 2020

2019

Feature Selection with Conditional Mutual Information Considering Feature Interaction.

[BibT_eX]

[DOI]

Symmetry, 2019

Virtual View Generation Based on 3D-Dense-Attentive GAN Networks.

[BibT_eX]

[DOI]

Junwei Fu

Jun Liang

Sensors, 2019

Constraint-based clustering by fast search and find of density peaks.

[BibT_eX]

[DOI]

Neurocomputing, 2019

A Deep Learning Method for Lane Changing Situation Assessment and Decision Making.

[BibT_eX]

[DOI]

Xiao Liu

Jun Liang

Bing Xu

IEEE Access, 2019

2018

Residual Recurrent Neural Networks for Learning Sequential Representations.

[BibT_eX]

[DOI]

Boxuan Yue

Junwei Fu

Jun Liang

Inf., 2018

Online Process Monitoring Using Recursive Mutual Information-Based Variable Selection and Dissimilarity Analysis With No Prior Information.

[BibT_eX]

[DOI]

Jing Zeng

Xiaoyi Luo

Jun Liang

IEEE Access, 2018

2017

Partial noise assisted multivariate EMD: An improved noise assisted method for multivariate signals decomposition.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2017

Jun Liang

Timeline

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