Xijun Liang

30 papers C 1Journal 24Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
GEGAN: gradient-guided evolutionary framework for GAN optimization.
Expert Syst. Appl.
Wenwen Jia, Qi Yu, Xijun Liang, Mengzhen Li, Ling Jian
2025 J jnl
Adaptive robust MIMO radar target localization via capped Frobenius norm.
Signal Process.
Jun-Ru Yang, Zhang-Lei Shi, Xiao-Peng Li, Wenxin Xiong, Yaru Fu, Xijun Liang
2025 J jnl
Multiple scales fusion and query matching stabilization for detection with transformer.
Eng. Appl. Artif. Intell.
Shenyu Du, Xijun Liang, Kun Wu, Ye Tian, Yue Liu, Ling Jian
2025 J jnl
NGDE: A Niching-Based Gradient-Directed Evolution Algorithm for Nonconvex Optimization.
IEEE Trans. Neural Networks Learn. Syst.
Qi Yu, Xijun Liang, Mengzhen Li, Ling Jian
2025 J jnl
ROPU: A robust online positive-unlabeled learning algorithm.
Knowl. Based Syst.
Xijun Liang, Kaili Zhu, An Xiao, Ya Wen, Kaili Zhang, Suhang Wang, Ling Jian
2024 J jnl
Collaborative Dictionary Learning for Compressed Sensing.
IEEE Trans. Ind. Informatics
Weiyu Li, Weizhi Lu, Xijun Liang, Mingrui Chen, Kai Guo
2024 J jnl
OEC: an online ensemble classifier for mining data streams with noisy labels.
Data Min. Knowl. Discov.
Ling Jian, Kai Shao, Ying Liu, Jundong Li, Xijun Liang
2023 J jnl
LapRamp: a noise resistant classification algorithm based on manifold regularization.
Appl. Intell.
Xijun Liang, Qi Yu, Kaili Zhang, Pan Zeng, Ling Jian
2022 J jnl
A noise-resilient online learning algorithm with ramp loss for ordinal regression.
Intell. Data Anal.
Maojun Zhang, Cuiqing Zhang, Xijun Liang, Zhonghang Xia, Ling Jian, Jiangxia Nan
2022 J jnl
Kernel learning with nonconvex ramp loss.
Stat. Anal. Data Min.
Xijun Liang, Zhipeng Zhang, Xingke Chen, Ling Jian
2022 J jnl
Kernel-based online regression with canal loss.
Eur. J. Oper. Res.
Xijun Liang, Zhipeng Zhang, Yunquan Song, Ling Jian
2022 J jnl
SS R-CNN: Self-Supervised Learning Improving Mask R-CNN for Ship Detection in Remote Sensing Images.
Remote. Sens.
Ling Jian, Zhiqi Pu, Lili Zhu, Tiancan Yao, Xijun Liang
2021 J jnl
Anomaly Detection Aided Budget Online Classification for Imbalanced Data Streams.
IEEE Intell. Syst.
Xijun Liang, Xiaoxin Song, Kai Qi, Jundong Li, Jinyu Liu, Ling Jian
2021 C conf
Compressed Sensing via Collaboratively Learned Dictionaries.
ISPA
Kai Guo, Xijun Liang, Weizhi Lu
2021 J jnl
On Solving the Convex Semi-Infinite Minimax Problems via Superlinear 풱풰 Incremental Bundle Technique with Partial Inexact Oracle.
Asia Pac. J. Oper. Res.
Ming Huang, Jinlong Yuan, Sida Lin, Xijun Liang, Chongyang Liu
2021 J jnl
Robust variable selection with exponential squared loss for the spatial autoregressive model.
Comput. Stat. Data Anal.
Yunquan Song, Xijun Liang, Yanji Zhu, Lu Lin
2019 J jnl
Pol-SAR Based Oil Spillage Classification With Various Scenarios of Prior Knowledge.
IEEE Access
Xijun Liang, Zongjin Zhen, Yunquan Song, Ling Jian, Dongmei Song
2019 J jnl
Toward Budgeted Online Kernel Ridge Regression on Streaming Data.
IEEE Access
Fuhao Gao, Xiaoxin Song, Ling Jian, Xijun Liang
2018 J jnl
Efficient online learning for large-scale peptide identification.
CoRR
Xijun Liang, Zhonghang Xia, Yongxiang Wang, Ling Jian, Xinnan Niu, Andrew J. Link
2018 J jnl
Online Newton Step Algorithm with Estimated Gradient.
CoRR
Binbin Liu, Jundong Li, Yunquan Song, Xijun Liang, Ling Jian, Huan Liu
2017 J jnl
Budget Online Learning Algorithm for Least Squares SVM.
IEEE Trans. Neural Networks Learn. Syst.
Ling Jian, Shuqian Shen, Jundong Li, Xijun Liang, Lei Li
2017 — conf
Improved classification model for peptide identification based on self-paced learning.
BIBM
Yongxiang Wang, Xijun Liang, Zhonghang Xia, Xinnan Niu, Andrew J. Link, Haiqing Yin
2016 J jnl
Measure prediction capability of data for collaborative filtering.
Knowl. Inf. Syst.
Xijun Liang, Zhonghang Xia, Liping Pang, Liwei Zhang, Hongwei Zhang
2016 J jnl
ℓ
IEEE ACM Trans. Comput. Biol. Bioinform.
Ling Jian, Zhonghang Xia, Xinnan Niu, Xijun Liang, Parimal Samir, Andrew J. Link
2015 — conf
An efficient ACS algorithm for classification-based peptide identification.
BIBM
Xijun Liang, Zhonghang Xia, Ling Jian, Xinnan Niu, Andrew J. Link
2014 — conf
A weighted classification model for peptide identification.
ICCABS
Xijun Liang, Zhonghang Xia, Xinnan Niu, Andrew J. Link
2012 — conf
A fuzzy cluster-based algorithm for peptide identification.
BIBM Workshops
Xijun Liang, Zhonghang Xia, Xinnan Niu, Andrew J. Link, Liping Pang, Fang-Xiang Wu, Hongwei Zhang
2012 J jnl
Inference of gene regulatory subnetworks from time course gene expression data.
BMC Bioinform.
Xijun Liang, Zhonghang Xia, Li-Wei Zhang, Fang-Xiang Wu
2011 J jnl
Design of a multiple kernel learning algorithm for LS-SVM by convex programming.
Neural Networks
Ling Jian, Zhonghang Xia, Xijun Liang, Chuanhou Gao
2011 — conf
Modeling Gene Regulatory Subnetworks from Time Course Gene Expression Data.
BIBM
Xijun Liang, Zhonghang Xia, Li-Wei Zhang, Fang-Xiang Wu