Junnan Li

24 papers B 1Journal 22Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
An efficient framework based on local multi-representatives and noise-robust synthetic example generation for self-labeled semi-supervised classification.
Neural Networks
Junnan Li, Shun Fu, Wei Fu, Lufeng Wang, Xin Pan
2025 J jnl
Corrigendum to "An efficient framework based on local multi-representatives and noise-robust synthetic example generation for self-labeled semi-supervised classification" [Neural Networks 185 (2025) 107142].
Neural Networks
Junnan Li, Shun Fu, Wei Fu, Lufeng Wang, Xin Pan
2025 J jnl
RA-QoS: a robust autoencoder-based QoS predictor for highly accurate web service QoS prediction.
PeerJ Comput. Sci.
Shun Fu, Junnan Li, Lufeng Wang
2025 J jnl
Self-labeled framework with semi-supervised ball K-means clustering-based synthetic example generation for semi-supervised classification in industrial applications.
Eng. Appl. Artif. Intell.
Junnan Li, Lufeng Wang, Shun Fu, Wei Fu, Xin Pan
2024 J jnl
BPSO-SLM: a binary particle swarm optimization-based self-labeled method for semi-supervised classification.
Int. J. Mach. Learn. Cybern.
Ruijuan Liu, Junnan Li
2024 J jnl
Correction to: A heuristic hybrid instance reduction approach based on adaptive relative distance and k-means clustering.
J. Supercomput.
Junnan Li, Qing Zhao, Shuang Liu
2024 J jnl
Dependency-aware task offloading based on deep reinforcement learning in mobile edge computing networks.
Wirel. Networks
Junnan Li, Zhengyi Yang, Kai Chen, Zhao Ming, Xiuhua Li, Qilin Fan, Jinlong Hao, Luxi Cheng
2023 J jnl
A framework based on local cores and synthetic examples generation for self-labeled semi-supervised classification.
Pattern Recognit.
Junnan Li, Mingqiang Zhou, Qingsheng Zhu, Quanwang Wu
2023 J jnl
OALDPC: oversampling approach based on local density peaks clustering for imbalanced classification.
Appl. Intell.
Junnan Li, Qingsheng Zhu
2022 — conf
A Novel Clustering Algorithm with Dynamic Boundary Extraction Strategy Based on Local Gravitation.
PAKDD (2)
Jiangmei Luo, Qingsheng Zhu, Junnan Li, Dongdong Cheng, Mingqiang Zhou
2022 J jnl
A novel hierarchical clustering algorithm with merging strategy based on shared subordinates.
Appl. Intell.
Jinxin Shi, Qingsheng Zhu, Junnan Li
2022 J jnl
NaNG-ST: A natural neighborhood graph-based self-training method for semi-supervised classification.
Neurocomputing
Junnan Li
2022 J jnl
Synthetic Minority Oversampling Technique Based on Adaptive Local Mean Vectors and Improved Differential Evolution.
IEEE Access
Zhiju Zhang, Junnan Li
2021 J jnl
A novel oversampling technique for class-imbalanced learning based on SMOTE and natural neighbors.
Inf. Sci.
Junnan Li, Qingsheng Zhu, Quanwang Wu, Fan Zhu
2021 J jnl
A semi-supervised self-training method based on density peaks and natural neighbors.
J. Ambient Intell. Humaniz. Comput.
Suwen Zhao, Junnan Li
2021 J jnl
Density decay graph-based density peak clustering.
Knowl. Based Syst.
Zhiyong Zhang, Qingsheng Zhu, Fan Zhu, Junnan Li, Dongdong Cheng, Yi Liu, Jiangmei Luo
2021 B conf
Hierarchical Clustering Based on Local Cores and Sharing Concept.
COMPSAC
Jinxin Shi, Qingsheng Zhu, Junnan Li, Ji Liu, Dongdong Cheng
2021 J jnl
SMOTE-NaN-DE: Addressing the noisy and borderline examples problem in imbalanced classification by natural neighbors and differential evolution.
Knowl. Based Syst.
Junnan Li, Qingsheng Zhu, Quanwang Wu, Zhiyong Zhang, Yanlu Gong, Ziqing He, Fan Zhu
2020 J jnl
A boosting Self-Training Framework based on Instance Generation with Natural Neighbors for K Nearest Neighbor.
Appl. Intell.
Junnan Li, Qingsheng Zhu
2020 J jnl
A parameter-free hybrid instance selection algorithm based on local sets with natural neighbors.
Appl. Intell.
Junnan Li, Qingsheng Zhu, Quanwang Wu
2020 J jnl
An effective framework based on local cores for self-labeled semi-supervised classification.
Knowl. Based Syst.
Junnan Li, Qingsheng Zhu, Quanwang Wu, Dongdong Cheng
2020 J jnl
ELS: A Fast Parameter-Free Edition Algorithm With Natural Neighbors-Based Local Sets for k Nearest Neighbor.
IEEE Access
Suwen Zhao, Junnan Li
2019 J jnl
A self-training method based on density peaks and an extended parameter-free local noise filter for
Knowl. Based Syst.
Junnan Li, Qingsheng Zhu, Quanwang Wu
2019 J jnl
Semi-Supervised Self-Training Method Based on an Optimum-Path Forest.
IEEE Access
Junnan Li, Qingsheng Zhu