Xijun Liang

According to our database1, Xijun Liang authored at least 23 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2023
LapRamp: a noise resistant classification algorithm based on manifold regularization.
Appl. Intell., October, 2023

2022
Kernel learning with nonconvex ramp loss.
Stat. Anal. Data Min., 2022

SS R-CNN: Self-Supervised Learning Improving Mask R-CNN for Ship Detection in Remote Sensing Images.
Remote. Sens., 2022

A noise-resilient online learning algorithm with ramp loss for ordinal regression.
Intell. Data Anal., 2022

Kernel-based online regression with canal loss.
Eur. J. Oper. Res., 2022

2021
Anomaly Detection Aided Budget Online Classification for Imbalanced Data Streams.
IEEE Intell. Syst., 2021

Robust variable selection with exponential squared loss for the spatial autoregressive model.
Comput. Stat. Data Anal., 2021

On Solving the Convex Semi-Infinite Minimax Problems via Superlinear 풱풰 Incremental Bundle Technique with Partial Inexact Oracle.
Asia Pac. J. Oper. Res., 2021

Compressed Sensing via Collaboratively Learned Dictionaries.
Proceedings of the 12th International Symposium on Image and Signal Processing and Analysis, 2021

2019
Pol-SAR Based Oil Spillage Classification With Various Scenarios of Prior Knowledge.
IEEE Access, 2019

Toward Budgeted Online Kernel Ridge Regression on Streaming Data.
IEEE Access, 2019

2018
Online Newton Step Algorithm with Estimated Gradient.
CoRR, 2018

Efficient online learning for large-scale peptide identification.
CoRR, 2018

2017
Budget Online Learning Algorithm for Least Squares SVM.
IEEE Trans. Neural Networks Learn. Syst., 2017

Improved classification model for peptide identification based on self-paced learning.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
ℓ<sub>2</sub> Multiple Kernel Fuzzy SVM-Based Data Fusion for Improving Peptide Identification.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016

Measure prediction capability of data for collaborative filtering.
Knowl. Inf. Syst., 2016

2015
An efficient ACS algorithm for classification-based peptide identification.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
A weighted classification model for peptide identification.
Proceedings of the IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences, 2014

2012
Inference of gene regulatory subnetworks from time course gene expression data.
BMC Bioinform., 2012

A fuzzy cluster-based algorithm for peptide identification.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012

2011
Design of a multiple kernel learning algorithm for LS-SVM by convex programming.
Neural Networks, 2011

Modeling Gene Regulatory Subnetworks from Time Course Gene Expression Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011


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