Xijun Liang

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 18

Top Topics

Ordinal Regression

Mining Data Streams

Online Learning

Top Venues

Stat. Anal. Data Min.

Publications

Ling Jian, Kai Shao, Ying Liu, Jundong Li, Xijun Liang
OEC: an online ensemble classifier for mining data streams with noisy labels. Data Min. Knowl. Discov. 38 (3) (2024)
Xijun Liang, Qi Yu, Kaili Zhang, Pan Zeng, Ling Jian
LapRamp: a noise resistant classification algorithm based on manifold regularization. Appl. Intell. 53 (20) (2023)
Xijun Liang, Zhipeng Zhang, Yunquan Song, Ling Jian
Kernel-based online regression with canal loss. Eur. J. Oper. Res. 297 (1) (2022)
Xijun Liang, Zhipeng Zhang, Xingke Chen, Ling Jian
Kernel learning with nonconvex ramp loss. Stat. Anal. Data Min. 15 (6) (2022)
Ling Jian, Zhiqi Pu, Lili Zhu, Tiancan Yao, Xijun Liang
SS R-CNN: Self-Supervised Learning Improving Mask R-CNN for Ship Detection in Remote Sensing Images. Remote. Sens. 14 (17) (2022)
Maojun Zhang, Cuiqing Zhang, Xijun Liang, Zhonghang Xia, Ling Jian, Jiangxia Nan
A noise-resilient online learning algorithm with ramp loss for ordinal regression. Intell. Data Anal. 26 (2) (2022)
Xijun Liang, Xiaoxin Song, Kai Qi, Jundong Li, Jinyu Liu, Ling Jian
Anomaly Detection Aided Budget Online Classification for Imbalanced Data Streams. IEEE Intell. Syst. 36 (3) (2021)
Yunquan Song, Xijun Liang, Yanji Zhu, Lu Lin
Robust variable selection with exponential squared loss for the spatial autoregressive model. Comput. Stat. Data Anal. 155 (2021)
Ming Huang, Jinlong Yuan, Sida Lin, Xijun Liang, Chongyang Liu
On Solving the Convex Semi-Infinite Minimax Problems via Superlinear 풱풰 Incremental Bundle Technique with Partial Inexact Oracle. Asia Pac. J. Oper. Res. 38 (5) (2021)
Fuhao Gao, Xiaoxin Song, Ling Jian, Xijun Liang
Toward Budgeted Online Kernel Ridge Regression on Streaming Data. IEEE Access 7 (2019)
Xijun Liang, Zongjin Zhen, Yunquan Song, Ling Jian, Dongmei Song
Pol-SAR Based Oil Spillage Classification With Various Scenarios of Prior Knowledge. IEEE Access 7 (2019)
Binbin Liu, Jundong Li, Yunquan Song, Xijun Liang, Ling Jian, Huan Liu
Online Newton Step Algorithm with Estimated Gradient. CoRR (2018)
Xijun Liang, Zhonghang Xia, Yongxiang Wang, Ling Jian, Xinnan Niu, Andrew J. Link
Efficient online learning for large-scale peptide identification. CoRR (2018)
Yongxiang Wang, Xijun Liang, Zhonghang Xia, Xinnan Niu, Andrew J. Link, Haiqing Yin
Improved classification model for peptide identification based on self-paced learning. BIBM (2017)
Ling Jian, Shuqian Shen, Jundong Li, Xijun Liang, Lei Li
Budget Online Learning Algorithm for Least Squares SVM. IEEE Trans. Neural Networks Learn. Syst. 28 (9) (2017)
Ling Jian, Zhonghang Xia, Xinnan Niu, Xijun Liang, Parimal Samir, Andrew J. Link
Multiple Kernel Fuzzy SVM-Based Data Fusion for Improving Peptide Identification. IEEE ACM Trans. Comput. Biol. Bioinform. 13 (4) (2016)
Xijun Liang, Zhonghang Xia, Liping Pang, Liwei Zhang, Hongwei Zhang
Measure prediction capability of data for collaborative filtering. Knowl. Inf. Syst. 49 (3) (2016)
Xijun Liang, Zhonghang Xia, Ling Jian, Xinnan Niu, Andrew J. Link
An efficient ACS algorithm for classification-based peptide identification. BIBM (2015)
Xijun Liang, Zhonghang Xia, Xinnan Niu, Andrew J. Link
A weighted classification model for peptide identification. ICCABS (2014)
Xijun Liang, Zhonghang Xia, Xinnan Niu, Andrew J. Link, Liping Pang, Fang-Xiang Wu, Hongwei Zhang
A fuzzy cluster-based algorithm for peptide identification. BIBM Workshops (2012)
Xijun Liang, Zhonghang Xia, Li-Wei Zhang, Fang-Xiang Wu
Inference of gene regulatory subnetworks from time course gene expression data. BMC Bioinform. 13 (S-9) (2012)
Xijun Liang, Zhonghang Xia, Li-Wei Zhang, Fang-Xiang Wu
Modeling Gene Regulatory Subnetworks from Time Course Gene Expression Data. BIBM (2011)
Ling Jian, Zhonghang Xia, Xijun Liang, Chuanhou Gao
Design of a multiple kernel learning algorithm for LS-SVM by convex programming. Neural Networks 24 (5) (2011)