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Qiangkui Leng
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2020 – today
- 2024
- [j12]Xiangfu Meng, Xiaoyan Zhang, Hongjin Huo, Qiangkui Leng:
Top-k approximate selection for typicality query results over spatio-textual data. Knowl. Inf. Syst. 66(2): 1425-1468 (2024) - [j11]Changzhong Wang, Changyue Wang, Yuhua Qian, Qiangkui Leng:
Feature Selection Based on Weighted Fuzzy Rough Sets. IEEE Trans. Fuzzy Syst. 32(7): 4027-4037 (2024) - [c11]Qiangkui Leng, Shiqi Li:
A Resampling Method by Combining Disjuncts-Robust Oversampling and Adaptive Neighborhood-based Weighted Undersampling for Imbalance Problem. ICCBD 2024: 569-572 - 2023
- [j10]Qiangkui Leng, Jiamei Guo, Erjie Jiao, Xiangfu Meng, Changzhong Wang:
NanBDOS: Adaptive and parameter-free borderline oversampling via natural neighbor search for class-imbalance learning. Knowl. Based Syst. 274: 110665 (2023) - [c10]Qiangkui Leng, Liang Zhou, Xiangfu Meng:
A Complexity Measure for Data Classification Based on KNN with Dynamic Optimal K-Value Finding. FSDM 2023: 739-746 - [c9]Qiangkui Leng, Wei Liu, Xiangfu Meng:
Spectral Clustering Augmentation Pseudo-Label Conditional Generation Adversarial Imputation Networks for Multivariate Time-Series Missing Data. ICSAI 2023: 1-6 - [c8]Qiangkui Leng, Xuezi Sun, Xiangfu Meng:
A Radial-Based Mixed sampling method for imbalanced data classification. ICSAI 2023: 1-6 - [c7]Qiangkui Leng, Zeqi Zhang, Xiangfu Meng:
Adaptive Ensemble with Density Peak and Random Forest for Class-Imbalance Learning. ICSAI 2023: 1-6 - 2022
- [j9]Xiang Lv, Changzhong Wang, Xiaodong Fan, Qiangkui Leng, Xiaoli Jiang:
A novel image super-resolution algorithm based on multi-scale dense recursive fusion network. Neurocomputing 489: 98-111 (2022) - [c6]Qiangkui Leng, Erjie Jiao, Yuqing Liu, Jiamei Guo, Ying Chen:
Cross Distance Minimization for Solving the Nearest Point Problem Based on Scaled Convex Hull. ICIC (3) 2022: 198-208 - 2021
- [j8]Qiangkui Leng, Zuowei He, Yuqing Liu, Yuping Qin, Yujian Li:
A soft-margin convex polyhedron classifier for nonlinear task with noise tolerance. Appl. Intell. 51(1): 453-466 (2021) - 2020
- [c5]Yuping Qin, Xueying Cheng, Qiangkui Leng:
A Multi-class Classification Algorithm Based on Geometric Support Vector Machine. ICIC (3) 2020: 355-364 - [c4]Yuping Qin, Xueying Cheng, Xiangna Li, Qiangkui Leng:
An Effective Multi-label Classification Algorithm Based on Hypercube. ICIC (3) 2020: 476-483
2010 – 2019
- 2019
- [j7]Qiangkui Leng, Yuqing Liu, Xuhui Zhao, Long Zhang, Yuping Qin:
A Greedy Method for Constructing Minimal Multiconlitron. IEEE Access 7: 174662-174672 (2019) - [j6]Qiangkui Leng, Shurui Wang, Yuping Qin, Yujian Li:
An effective method to determine whether a point is within a convex hull and its generalized convex polyhedron classifier. Inf. Sci. 504: 435-448 (2019) - 2018
- [j5]Qiangkui Leng, Yuping Qin, Yujian Li:
A multi-class learning method for multiconlitron using hybrid binary tree architecture. Appl. Soft Comput. 64: 497-507 (2018) - [j4]Qiangkui Leng, Fude Liu, Yuping Qin:
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). 计算机科学 45(5): 220-223 (2018) - 2017
- [j3]Yujian Li, Qiangkui Leng, Yaozong Fu:
Cross kernel distance minimization for designing support vector machines. Int. J. Mach. Learn. Cybern. 8(5): 1585-1593 (2017) - [c3]Jiana Bi, Qiangkui Leng:
A Secure and Energy-Efficient Data Aggregation Protocol Based on Wavelet. GSKI (1) 2017: 363-371 - 2015
- [j2]Yujian Li, Qiangkui Leng:
Alternating multiconlitron: A novel framework for piecewise linear classification. Pattern Recognit. 48(3): 968-975 (2015) - 2014
- [j1]Yujian Li, Qiangkui Leng, Yaozong Fu, Houjun Li:
Growing construction of conlitron and multiconlitron. Knowl. Based Syst. 65: 12-20 (2014) - 2011
- [c2]Yuping Qin, Shuxian Lun, Qiangkui Leng, Yandong Guo:
A hyper ellipsoidal incremental learning algorithm. FSKD 2011: 1500-1503 - 2010
- [c1]Yuping Qin, Qiangkui Leng, Xiangna Meng, Qian Luo:
A new incremental learning algorithm based on hyper-sphere SVM. FSKD 2010: 2340-2343
Coauthor Index
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last updated on 2024-10-23 20:36 CEST by the dblp team
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