Junnan Li

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Nearest Neighbor

Relative Distance

Binary Particle Swarm Optimization

Hierarchical Clustering

Top Venues

Knowl. Based Syst.

Pattern Recognit.

Publications

Ruijuan Liu, Junnan Li
BPSO-SLM: a binary particle swarm optimization-based self-labeled method for semi-supervised classification. Int. J. Mach. Learn. Cybern. 15 (8) (2024)
Junnan Li, Qing Zhao, Shuang Liu
Correction to: A heuristic hybrid instance reduction approach based on adaptive relative distance and k-means clustering. J. Supercomput. 80 (12) (2024)
Junnan Li, Qingsheng Zhu
OALDPC: oversampling approach based on local density peaks clustering for imbalanced classification. Appl. Intell. 53 (24) (2023)
Junnan Li, Mingqiang Zhou, Qingsheng Zhu, Quanwang Wu
A framework based on local cores and synthetic examples generation for self-labeled semi-supervised classification. Pattern Recognit. 134 (2023)
Jinxin Shi, Qingsheng Zhu, Junnan Li
A novel hierarchical clustering algorithm with merging strategy based on shared subordinates. Appl. Intell. 52 (8) (2022)
Junnan Li
NaNG-ST: A natural neighborhood graph-based self-training method for semi-supervised classification. Neurocomputing 514 (2022)
Jiangmei Luo, Qingsheng Zhu, Junnan Li, Dongdong Cheng, Mingqiang Zhou
A Novel Clustering Algorithm with Dynamic Boundary Extraction Strategy Based on Local Gravitation. PAKDD (2) (2022)
Zhiju Zhang, Junnan Li
Synthetic Minority Oversampling Technique Based on Adaptive Local Mean Vectors and Improved Differential Evolution. IEEE Access 10 (2022)
Junnan Li, Qingsheng Zhu, Quanwang Wu, Zhiyong Zhang, Yanlu Gong, Ziqing He, Fan Zhu
SMOTE-NaN-DE: Addressing the noisy and borderline examples problem in imbalanced classification by natural neighbors and differential evolution. Knowl. Based Syst. 223 (2021)
Junnan Li, Qingsheng Zhu, Quanwang Wu, Fan Zhu
A novel oversampling technique for class-imbalanced learning based on SMOTE and natural neighbors. Inf. Sci. 565 (2021)
Jinxin Shi, Qingsheng Zhu, Junnan Li, Ji Liu, Dongdong Cheng
Hierarchical Clustering Based on Local Cores and Sharing Concept. COMPSAC (2021)
Suwen Zhao, Junnan Li
A semi-supervised self-training method based on density peaks and natural neighbors. J. Ambient Intell. Humaniz. Comput. 12 (2) (2021)
Zhiyong Zhang, Qingsheng Zhu, Fan Zhu, Junnan Li, Dongdong Cheng, Yi Liu, Jiangmei Luo
Density decay graph-based density peak clustering. Knowl. Based Syst. 224 (2021)
Junnan Li, Qingsheng Zhu, Quanwang Wu
A parameter-free hybrid instance selection algorithm based on local sets with natural neighbors. Appl. Intell. 50 (5) (2020)
Junnan Li, Qingsheng Zhu
A boosting Self-Training Framework based on Instance Generation with Natural Neighbors for K Nearest Neighbor. Appl. Intell. 50 (11) (2020)
Junnan Li, Qingsheng Zhu, Quanwang Wu, Dongdong Cheng
An effective framework based on local cores for self-labeled semi-supervised classification. Knowl. Based Syst. 197 (2020)
Suwen Zhao, Junnan Li
ELS: A Fast Parameter-Free Edition Algorithm With Natural Neighbors-Based Local Sets for k Nearest Neighbor. IEEE Access 8 (2020)
Junnan Li, Qingsheng Zhu
Semi-Supervised Self-Training Method Based on an Optimum-Path Forest. IEEE Access 7 (2019)
Junnan Li, Qingsheng Zhu, Quanwang Wu
nearest neighbor. Knowl. Based Syst. 184 (2019)