Jun Liu

According to our database, Jun Liu authored at least 31 papers between 2008 and 2021.

Collaborative distances:

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

2021

Predict the Caenorhabditis elegans Life Stage through Hybrid Deep Neural Network.

Yao Song, Jun Liu, Zikang Zhao, Junji Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Detection of macular diseases in optical coherence tomography image.

Xiaoming Liu, Zhou Yang, Wei Hu, Jun Liu, Kai Zhang

Int. J. Parallel Emergent Distributed Syst., 2020

2019

Automated Layer Segmentation of Retinal Optical Coherence Tomography Images Using a Deep Feature Enhanced Structured Random Forests Classifier.

Xiaoming Liu, Tianyu Fu, Zhifang Pan, Dong Liu, Wei Hu, Jun Liu, Kai Zhang

IEEE J. Biomed. Health Informatics, 2019

Mass classification of benign and malignant with a new twin support vector machine joint \({l_{2, 1}}\) -norm.

Xiaoming Liu, Ting Zhu, Leilei Zhai, Jun Liu

Int. J. Mach. Learn. Cybern., 2019

Semi-Supervised Automatic Segmentation of Layer and Fluid Region in Retinal Optical Coherence Tomography Images Using Adversarial Learning.

Xiaoming Liu, Jun Cao, Tianyu Fu, Zhifang Pan, Wei Hu, Kai Zhang, Jun Liu

IEEE Access, 2019

2018

Multiple TBSVM-RFE for the detection of architectural distortion in mammographic images.

Xiaoming Liu, Leilei Zhai, Ting Zhu, Jun Liu, Kai Zhang, Wei Hu

Multim. Tools Appl., 2018

Shortest Path with Backtracking Based Automatic Layer Segmentation in Pathological Retinal Optical Coherence Tomography.

Xiaoming Liu, Dong Liu, Tianyu Fu, Kai Zhang, Jun Liu, Li Chen

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017

A Novel Design of Software System on Chip for Embedded System.

Wei Hu, Hong Guo, Hongna Geng, Kai Zhang, Jun Liu, Xiaoming Liu

J. Signal Process. Syst., 2017

Design and Implementation of Portable Device Based Mobile Medical Service System.

Wei Hu, Hongna Geng, Hong Guo, Xiaoming Liu, Junliang Lu, Jun Liu, Kai Zhang

J. Signal Process. Syst., 2017

An energy-efficient design of microkernel-based on-chip OS for NOC-based manycore system.

Wei Hu, Hong Guo, Kai Zhang, Jun Liu, Xiaoming Liu, Qingsong Shi

J. Supercomput., 2017

2016

An efficient task mapping algorithm with power-aware optimization for network on chip.

Wei Hu, Qingsong Shi, Yonghao Wang, Kai Zhang, Jun Liu, Xiaoming Liu, Hong Guo

J. Syst. Archit., 2016

Implementation of follicle monitoring system based on 3D ultrasound images.

Jun Liu, Hongwei Jiang, Xiaoming Liu, Hao Chen, Jonathan R. Sukovich

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

SpamDia: Spammer Diagnosis in Sina Weibo Microblog.

Hao Chen, Jun Liu, Jianhong Mi

Proceedings of the 9th EAI International Conference on Mobile Multimedia Communications, 2016

2015

A 3-D robust detail preserving anisotropic diffusion for speckle reduction in 3-D cattle follicle ultrasound image.

Jun Liu, Hongwei Jiang, Xiaoming Liu

Int. J. Embed. Syst., 2015

Microcalcification detection in full-field digital mammograms with PFCM clustering and weighted SVM-based method.

Xiaoming Liu, Ming Mei, Jun Liu, Wei Hu

EURASIP J. Adv. Signal Process., 2015

A New Microcalcification Detection Method in Full Field Digital Mammogram Images.

Xiaoming Liu, Ming Mei, Weiwei Sun, Jun Liu

Proceedings of the Intelligent Computing Theories and Methodologies, 2015

Implementation of 3-D RDPAD Algorithm on Follicle Images Based CUDA.

Hongwei Jiang, Jun Liu, Keyang Luo, Wei Hu, Xiaoming Liu

Proceedings of the Intelligent Computing Theories and Methodologies, 2015

Discrete Particle Swarm Optimization Algorithm for Solving Graph Coloring Problem.

Kai Zhang, Wanying Zhu, Jun Liu, Juanjuan He

Proceedings of the Bio-Inspired Computing - Theories and Applications, 2015

2014

Multiobjective Genetic Algorithm for Optimized DNA Sequences for DNA Self-assembly.

Kai Zhang, Jiaren Yi, Jun Liu, Wei Hu

Proceedings of the Bio-Inspired Computing - Theories and Applications, 2014

Prediction Nucleic Acid Secondary Structure with Planar Pseudoknots and Genetic Algorithm.

Kai Zhang, Xinquan Huang, Wei Hu, Jun Liu

Proceedings of the Bio-Inspired Computing - Theories and Applications, 2014

2012

Mass Diagnosis in Mammography with Mutual Information Based Feature Selection and Support Vector Machine.

Xiaoming Liu, Bo Li, Jun Liu, Xin Xu, Zhilin Feng

Proceedings of the Intelligent Computing Theories and Applications, 2012

2011

Mass segmentation using a combined method for cancer detection.

Jun Liu, Jianxun Chen, Xiaoming Liu, Lei Chun, Jinshan Tang, Youping Deng

BMC Syst. Biol., 2011

Improved local binary patterns for classification of masses using mammography.

Jun Liu, Xiaoming Liu, Jianxun Chen, Jinshan Tang

Proceedings of the IEEE International Conference on Systems, 2011

Mass Classification with Level Set Segmentation and Shape Analysis for Breast Cancer Diagnosis Using Mammography.

Xiaoming Liu, Xin Xu, Jun Liu, Jinshan Tang

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2011

Mass Segmentation in Mammograms Based on Improved Level Set and Watershed Algorithm.

Jun Liu, Xiaoming Liu, Jianxun Chen, Jinshan Tang

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2011

A new automatic method for mass detection in mammography with false positives reduction by supported vector machine.

Xiaoming Liu, Xin Xu, Jun Liu, Zhilin Feng

Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

Design and implementation of content-based medical image retrieval system on mammograms.

Jun Liu, Jianxun Chen, Zhe Huang, Xiaoming Liu

Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

2010

Dimension Reduction with Semi-supervised Pairwise Covariance-Preserving Projection.

Xiaoming Liu, Zhaohui Wang, Jun Liu, Zhilin Feng

Proceedings of the Advanced Intelligent Computing Theories and Applications, 2010

2009

Colorization Using Segmentation with Random Walk.

Xiaoming Liu, Jun Liu, Zhilin Feng

Proceedings of the Computer Analysis of Images and Patterns, 13th International Conference, 2009

Semi-supervised Discriminant Analysis Based on Dependence Estimation.

Xiaoming Liu, Jinshan Tang, Jun Liu, Zhilin Feng, Zhaohui Wang

Proceedings of the Advanced Data Mining and Applications, 5th International Conference, 2009

2008

Face recognition with Locality Sensitive Discriminant Analysis based on matrix representation.

Xiaoming Liu, Zhaohui Wang, Jun Liu, Zhilin Feng

Proceedings of the International Joint Conference on Neural Networks, 2008