Knowledge-based Support Vector Machine Classifiers via Nearest Points. - Xuchan Ju; Yingjie Tian 001 (ICCS, 2012)

Efficient sparse least squares support vector machines for pattern classification. - Yingjie Tian 001; Xuchan Ju; Zhiquan Qi; Yong Shi 001 (Comput. Math. Appl., 2013)

Nonparallel hyperplane support vector machine for PU learning. - Ying Zhang; Xuchan Ju; Yingjie Tian 001 (ICNC, 2014)

Support Vector Regression and Time Series Analysis for the Forecasting of Bayannur's Total Water Requirement. - Xuchan Ju; Manjin Cheng; Yuhong Xia; Fuqiang Quo; Yingjie Tian 001 (ITQM, 2014)

Efficient sparse nonparallel support vector machines for classification. - Yingjie Tian 001; Xuchan Ju; Zhiquan Qi (Neural Comput. Appl., 2014)

Nonparallel Support Vector Machines for Pattern Classification. - Yingjie Tian 001; Zhiquan Qi; Xuchan Ju; Yong Shi 001; Xiaohui Liu 001 (IEEE Trans. Cybern., 2014)

Nonparallel Hyperplanes Support Vector Machine for Multi-class Classification. - Xuchan Ju; Yingjie Tian 001; Dalian Liu; Zhiquan Qi (ICCS, 2015)

An Algebra Description for Hard Clustering. - Bo Wang 049; Yong Shi 001; Zhuofan Yang; Xuchan Ju (ICDS, 2015)

Multi-Dimensional Critical Control of Water Resource in Bayannur. - Xuchan Ju; Yingjie Tian 001; Dalian Liu; Manjin Cheng; Yuhong Xia; Fuqiang Quo (ITQM, 2015)

A divide-and-combine method for large scale nonparallel support vector machines. - Yingjie Tian 001; Xuchan Ju; Yong Shi 001 (Neural Networks, 2016)

A Hash Based Method for Large Scale Nonparallel Support Vector Machines Prediction. - Xuchan Ju; Tianhe Wang (ICCS, 2017)

Multi-view deep metric learning for image classification. - Dewei Li 002; Jingjing Tang; Yingjie Tian 001; Xuchan Ju (ICIP, 2017)

A divide-and-conquer method for large scale ν-nonparallel support vector machines. - Xuchan Ju; Yingjie Tian 001 (Neural Comput. Appl., 2018)

Overview of Optimization Algorithms for Large-scale Support Vector Machines. - Xuchan Ju; Zhenghao Yan; Tianhe Wang (ICDM (Workshops), 2021)

HRS: Hybrid Recommendation System based on Attention Mechanism and Knowledge Graph Embedding. - Chunfang Dong; Xuchan Ju; Yue Ma (WI/IAT (Workshop/Special Session), 2021)

Robust cost-sensitive kernel method with Blinex loss and its applications in credit risk evaluation. - Jingjing Tang; Jiahui Li; Weiqi Xu; Yingjie Tian 001; Xuchan Ju; Jie Zhang (Neural Networks, 2021)

Self-paced non-convex regularized analysis-synthesis dictionary learning for unsupervised feature selection. - Jianyu Miao; Tiejun Yang; Chao Fan; Zhensong Chen 001; Xuan Fei; Xuchan Ju; Ke Wang 064; Mingliang Xu 001 (Knowl. Based Syst., 2022)