A new incremental learning algorithm based on hyper-sphere SVM. - Yuping Qin; Qiangkui Leng; Xiangna Meng; Qian Luo (FSKD, 2010)

A hyper ellipsoidal incremental learning algorithm. - Yuping Qin; Shuxian Lun; Qiangkui Leng; Yandong Guo (FSKD, 2011)

Growing construction of conlitron and multiconlitron. - Yujian Li; Qiangkui Leng; Yaozong Fu; Houjun Li (Knowl. Based Syst., 2014)

Alternating multiconlitron: A novel framework for piecewise linear classification. - Yujian Li; Qiangkui Leng (Pattern Recognit., 2015)

A Secure and Energy-Efficient Data Aggregation Protocol Based on Wavelet. - Jiana Bi; Qiangkui Leng (GSKI (1), 2017)

Cross kernel distance minimization for designing support vector machines. - Yujian Li; Qiangkui Leng; Yaozong Fu (Int. J. Mach. Learn. Cybern., 2017)

A multi-class learning method for multiconlitron using hybrid binary tree architecture. - Qiangkui Leng; Yuping Qin; Yujian Li (Appl. Soft Comput., 2018)

一种基于混合二叉树结构的多类支持向量机分类算法 (Multi-class Classification Algorithm for SVM Based on Hybrid Binary Tree Structure). - Qiangkui Leng; Fude Liu; Yuping Qin (计算机科学, 2018)

A Greedy Method for Constructing Minimal Multiconlitron. - Qiangkui Leng; Yuqing Liu; Xuhui Zhao; Long Zhang; Yuping Qin (IEEE Access, 2019)

An effective method to determine whether a point is within a convex hull and its generalized convex polyhedron classifier. - Qiangkui Leng; Shurui Wang; Yuping Qin; Yujian Li (Inf. Sci., 2019)

A Multi-class Classification Algorithm Based on Geometric Support Vector Machine. - Yuping Qin; Xueying Cheng; Qiangkui Leng (ICIC (3), 2020)

An Effective Multi-label Classification Algorithm Based on Hypercube. - Yuping Qin; Xueying Cheng; Xiangna Li; Qiangkui Leng (ICIC (3), 2020)

A soft-margin convex polyhedron classifier for nonlinear task with noise tolerance. - Qiangkui Leng; Zuowei He; Yuqing Liu; Yuping Qin; Yujian Li (Appl. Intell., 2021)

Cross Distance Minimization for Solving the Nearest Point Problem Based on Scaled Convex Hull. - Qiangkui Leng; Erjie Jiao; Yuqing Liu; Jiamei Guo; Ying Chen (ICIC (3), 2022)

A novel image super-resolution algorithm based on multi-scale dense recursive fusion network. - Xiang Lv; Changzhong Wang; Xiaodong Fan; Qiangkui Leng; Xiaoli Jiang (Neurocomputing, 2022)

A Complexity Measure for Data Classification Based on KNN with Dynamic Optimal K-Value Finding. - Qiangkui Leng; Liang Zhou; Xiangfu Meng (FSDM, 2023)

Spectral Clustering Augmentation Pseudo-Label Conditional Generation Adversarial Imputation Networks for Multivariate Time-Series Missing Data. - Qiangkui Leng; Wei Liu; Xiangfu Meng (ICSAI, 2023)

A Radial-Based Mixed sampling method for imbalanced data classification. - Qiangkui Leng; Xuezi Sun; Xiangfu Meng (ICSAI, 2023)

Adaptive Ensemble with Density Peak and Random Forest for Class-Imbalance Learning. - Qiangkui Leng; Zeqi Zhang; Xiangfu Meng (ICSAI, 2023)

NanBDOS: Adaptive and parameter-free borderline oversampling via natural neighbor search for class-imbalance learning. - Qiangkui Leng; Jiamei Guo; Erjie Jiao; Xiangfu Meng; Changzhong Wang (Knowl. Based Syst., 2023)

A Resampling Method by Combining Disjuncts-Robust Oversampling and Adaptive Neighborhood-based Weighted Undersampling for Imbalance Problem. - Qiangkui Leng; Shiqi Li (ICCBD, 2024)

Top-k approximate selection for typicality query results over spatio-textual data. - Xiangfu Meng; Xiaoyan Zhang 005; Hongjin Huo; Qiangkui Leng (Knowl. Inf. Syst., 2024)

Feature Selection Based on Weighted Fuzzy Rough Sets. - Changzhong Wang; Changyue Wang; Yuhua Qian; Qiangkui Leng (IEEE Trans. Fuzzy Syst., 2024)

Vision Transformer with window sequence merging mechanism for image classification. - Erjie Jiao; Qiangkui Leng; Jiamei Guo; Xiangfu Meng; Changzhong Wang (Appl. Soft Comput., 2025)

Dynamic self-paced undersampling ensemble for imbalanced classification. - Qiangkui Leng; Chunyue Lyu; Zhuoyu Zhou; Xiangfu Meng; Changzhong Wang (J. Supercomput., 2025)