Junyan Tan

发表

Biased p-norm support vector machine for PU learning

Zhiqiang Zhang, Ting Ke, Naiyang Deng, 2014, Neurocomputing.

Adaptive feature selection via a new version of support vector machine

Zhiqiang Zhang, Chunhua Zhang, Ling Zhen, 2012, Neural Computing and Applications.

The Support Vector Regression with Adaptive Norms

Dewei Li, Chunhua Zhang, Junyan Tan, 2013, ICCS.

A predictive andparametrized architecture forimageanalysis algorithm implementations on FPGAadapted tomultispectral imaging.

Dominique Houzet, Virginie Fresse, Junyan Tan, 2008 .

A Novel Least Square Twin Support Vector Regression

Hui Wang, Zhiqiang Zhang, Junyan Tan, 2017, Neural Processing Letters.

Case study: Deployment of the 2D NoC on 3D for the generation of large emulation platforms

Junyan Tan, V. Fresse, Zhiwei Ge, 2012, 2012 23rd IEEE International Symposium on Rapid System Prototyping (RSP).

Laplacian p-norm proximal support vector machine for semi-supervised classification

Zhiqiang Zhang, Ling Zhen, Naiyang Deng, 2014, Neurocomputing.

A regression-type support vector machine for k-class problem

Zeqian Xu, Junyan Tan, Liming Liu, 2019, Neurocomputing.

Sparse least square twin support vector machine with adaptive norm

Zhiqiang Zhang, Ling Zhen, Naiyang Deng, 2014, Applied Intelligence.

A scalable end effective routing algorithm for multi-FPGA based large scale NoC

Virginie Fresse, Junyan Tan, Frederic Rousseau, 2011 .

Adaptive NoC-based MPSoC system for spectral imaging algorithm dedicated to art authentication

Virginie Fresse, Frédéric Rousseau, Junyan Tan, 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

Emulation platform for an adaptive NoC-based MPSoC architecture dedicated to spectral imaging for art authentication

Virginie Fresse, Junyan Tan, Frederic Rousseau, 2012, ICIP 2012.

Cross-regression for multi-view feature extraction

Jinxin Zhang, Ling Jing, Junyan Tan, 2020, Knowl. Based Syst..

Building High-Performance Classifiers Using Positive and Unlabeled Examples for Text Classification

Yi Li, Ling Jing, Bing Yang, 2012, ISNN.

Generation of emulation platforms for NoC exploration on FPGA

Virginie Fresse, Frédéric Rousseau, Junyan Tan, 2011, 2011 22nd IEEE International Symposium on Rapid System Prototyping.

From mono-FPGA to multi-FPGA emulation platform for NoC performance evaluations

Virginie Fresse, Frédéric Rousseau, Junyan Tan, 2011, PARCO.

Network-Based Gene Sets Selection Via Network Regularization

Ling Jing, Bing Yang, Ling Zhen, 2013 .

Rapid prototyping of Networks-on-Chip on multi-FPGA platforms

Virginie Fresse, Junyan Tan, Frederic Rousseau, 2016 .

A predictive and parametrized architecture for image analysis algorithm implementations on FPGA adapted to multispectral imaging

D. Houzet, Junyan Tan, Linlin Zhang, 2008, 2008 First Workshops on Image Processing Theory, Tools and Applications.

New p-norm Support Vector Machine with Parametric Margin

Ling Zhen, Nai-Yang Deng, Zhiqiang Zhang, 2013 .

Mixed-norm linear support vector machine

Yuan-Hai Shao, Chunhua Zhang, Naiyang Deng, 2012, Neural Computing and Applications.

An Efficient Partitioning Algorithm Based on Hypergraph for 3D Network-On-Chip Architecture Floorplanning

Junyan Tan, Chunhua Cai, Junyan Tan, 2019, J. Circuits Syst. Comput..

Exploration of an adaptive NoC architecture on FPGA dedicated to multi and hysperspectral algorithm for art authentication

Virginie Fresse, Frédéric Rousseau, Junyan Tan, 2010, 2010 2nd International Conference on Image Processing Theory, Tools and Applications.

Exploration d'architectures génériques sur FPGA pour des algorithmes d'imagerie multispectrale

Junyan Tan, 2012 .

generation of hardware emulation platforme for multi-FPGA based NoC

Virginie Fresse, Junyan Tan, Frederic Rousseau, 2011 .

A new support vector machine for the classification of positive and unlabeled examples

Ling Zhen, Nai-Yang Deng, Chunhua Zhang, 2013 .

Manifold proximal support vector machine with mixed-norm for semi-supervised classification

Zhiqiang Zhang, Ling Zhen, Naiyang Deng, 2014, Neural Computing and Applications.

New encoding schemes for prediction of protein phosphorylation sites

Junyan Tan, Zimo Yin, Junyan Tan, 2012, 2012 IEEE 6th International Conference on Systems Biology (ISB).

Semi-supervised dimensionality reduction via sparse locality preserving projection

Junyan Tan, Hui Zou, Huijie Guo, 2020, Applied Intelligence.

Estimating Hourly Energy Generation of Distributed Photovoltaic Arrays: a Comparison of Two Methods

Nicholas A. Engerer, Franklin P. Mills, Junyan Tan, 2014 .

Network Kernel SVM for microarray classification and gene sets selection

Ling Jing, Bing Yang, Naiyang Deng, 2012, 2012 IEEE 6th International Conference on Systems Biology (ISB).

Multi-class support vector machine based on the minimization of class variance

Hui Zou, Junyan Tan, Zhiqiang Zhang, 2021, Neural Process. Lett..