Modeling Gene Regulatory Subnetworks from Time Course Gene Expression Data. - Xijun Liang; Zhonghang Xia; Li-Wei Zhang; Fang-Xiang Wu (BIBM, 2011)

Design of a multiple kernel learning algorithm for LS-SVM by convex programming. - Ling Jian; Zhonghang Xia; Xijun Liang; Chuanhou Gao (Neural Networks, 2011)

A fuzzy cluster-based algorithm for peptide identification. - Xijun Liang; Zhonghang Xia; Xinnan Niu; Andrew J. Link; Liping Pang; Fang-Xiang Wu; Hongwei Zhang (BIBM Workshops, 2012)

Inference of gene regulatory subnetworks from time course gene expression data. - Xijun Liang; Zhonghang Xia; Li-Wei Zhang; Fang-Xiang Wu (BMC Bioinform., 2012)

A weighted classification model for peptide identification. - Xijun Liang; Zhonghang Xia; Xinnan Niu; Andrew J. Link (ICCABS, 2014)

An efficient ACS algorithm for classification-based peptide identification. - Xijun Liang; Zhonghang Xia; Ling Jian; Xinnan Niu; Andrew J. Link (BIBM, 2015)

Measure prediction capability of data for collaborative filtering. - Xijun Liang; Zhonghang Xia; Liping Pang; Liwei Zhang; Hongwei Zhang (Knowl. Inf. Syst., 2016)

ℓ2 Multiple Kernel Fuzzy SVM-Based Data Fusion for Improving Peptide Identification. - Ling Jian; Zhonghang Xia; Xinnan Niu; Xijun Liang; Parimal Samir; Andrew J. Link (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

Improved classification model for peptide identification based on self-paced learning. - Yongxiang Wang; Xijun Liang; Zhonghang Xia; Xinnan Niu; Andrew J. Link; Haiqing Yin (BIBM, 2017)

Budget Online Learning Algorithm for Least Squares SVM. - Ling Jian; Shuqian Shen 001; Jundong Li; Xijun Liang; Lei Li 025 (IEEE Trans. Neural Networks Learn. Syst., 2017)

Efficient online learning for large-scale peptide identification. - Xijun Liang; Zhonghang Xia; Yongxiang Wang; Ling Jian; Xinnan Niu; Andrew J. Link (CoRR, 2018)

Online Newton Step Algorithm with Estimated Gradient. - Binbin Liu; Jundong Li; Yunquan Song; Xijun Liang; Ling Jian; Huan Liu 001 (CoRR, 2018)

Toward Budgeted Online Kernel Ridge Regression on Streaming Data. - Fuhao Gao; Xiaoxin Song; Ling Jian; Xijun Liang (IEEE Access, 2019)

Pol-SAR Based Oil Spillage Classification With Various Scenarios of Prior Knowledge. - Xijun Liang; Zongjin Zhen; Yunquan Song; Ling Jian; Dongmei Song (IEEE Access, 2019)

Compressed Sensing via Collaboratively Learned Dictionaries. - Kai Guo; Xijun Liang; Weizhi Lu (ISPA, 2021)

On Solving the Convex Semi-Infinite Minimax Problems via Superlinear 풱풰 Incremental Bundle Technique with Partial Inexact Oracle. - Ming Huang; Jinlong Yuan; Sida Lin; Xijun Liang; Chongyang Liu (Asia Pac. J. Oper. Res., 2021)

Robust variable selection with exponential squared loss for the spatial autoregressive model. - Yunquan Song; Xijun Liang; Yanji Zhu; Lu Lin 002 (Comput. Stat. Data Anal., 2021)

Anomaly Detection Aided Budget Online Classification for Imbalanced Data Streams. - Xijun Liang; Xiaoxin Song; Kai Qi; Jundong Li; Jinyu Liu; Ling Jian (IEEE Intell. Syst., 2021)

Kernel-based online regression with canal loss. - Xijun Liang; Zhipeng Zhang; Yunquan Song; Ling Jian (Eur. J. Oper. Res., 2022)

A noise-resilient online learning algorithm with ramp loss for ordinal regression. - Maojun Zhang; Cuiqing Zhang; Xijun Liang; Zhonghang Xia; Ling Jian; Jiangxia Nan (Intell. Data Anal., 2022)

SS R-CNN: Self-Supervised Learning Improving Mask R-CNN for Ship Detection in Remote Sensing Images. - Ling Jian; Zhiqi Pu; Lili Zhu; Tiancan Yao; Xijun Liang (Remote. Sens., 2022)

Kernel learning with nonconvex ramp loss. - Xijun Liang; Zhipeng Zhang; Xingke Chen; Ling Jian (Stat. Anal. Data Min., 2022)

LapRamp: a noise resistant classification algorithm based on manifold regularization. - Xijun Liang; Qi Yu; Kaili Zhang; Pan Zeng; Ling Jian (Appl. Intell., 2023)

Collaborative Dictionary Learning for Compressed Sensing. - Weiyu Li; Weizhi Lu; Xijun Liang; Mingrui Chen; Kai Guo (IEEE Trans. Ind. Informatics, 2024)

OEC: an online ensemble classifier for mining data streams with noisy labels. - Ling Jian; Kai Shao; Ying Liu; Jundong Li; Xijun Liang (Data Min. Knowl. Discov., 2024)

Multiple scales fusion and query matching stabilization for detection with transformer. - Shenyu Du; Xijun Liang; Kun Wu; Ye Tian; Yue Liu; Ling Jian (Eng. Appl. Artif. Intell., 2025)

ROPU: A robust online positive-unlabeled learning algorithm. - Xijun Liang; Kaili Zhu; An Xiao; Ya Wen; Kaili Zhang; Suhang Wang; Ling Jian (Knowl. Based Syst., 2025)

Adaptive robust MIMO radar target localization via capped Frobenius norm. - Jun-Ru Yang; Zhang-Lei Shi; Xiao-Peng Li 005; Wenxin Xiong; Yaru Fu; Xijun Liang (Signal Process., 2025)

NGDE: A Niching-Based Gradient-Directed Evolution Algorithm for Nonconvex Optimization. - Qi Yu; Xijun Liang; Mengzhen Li; Ling Jian (IEEE Trans. Neural Networks Learn. Syst., 2025)