Jie Wang

19 papers A* 1Journal 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
Content suppression mechanisms-based recommendation systems.
Expert Syst. Appl.
Haifeng Yang, Ran Zhang, Jianghui Cai, Jie Wang, Yupeng Wang, Yating Li, Yaling Xun, Xujun Zhao
2026 J jnl
Integrating semi-supervised learning with density tree structures for scalable clustering.
Appl. Soft Comput.
Haifeng Yang, Yanchao Feng, Jianghui Cai, Jie Wang, Yating Li, Xujun Zhao, Yaling Xun
2026 J jnl
Multi-level contrastive clustering with neighborhood topology preservation.
Appl. Soft Comput.
Yating Li, Jianghui Cai, Haifeng Yang, Jie Wang, Kai Ye
2026 J jnl
Multi-view clustering based on the association of graph structure and feature distribution.
Inf. Process. Manag.
Chenhui Shi, Yongjie Xin, Haifeng Yang, Jianghui Cai, Jie Wang, Lichan Zhou, Yanting He, Fuxing Cui, Xujun Zhao, Yaling Xun
2025 J jnl
Interpretable deep classification of time series based on class discriminative prototype learning.
Intell. Data Anal.
Yupeng Wang, Jianghui Cai, Haifeng Yang, Chenhui Shi, Min Zhang, Jie Wang, Ran Zhang, Xujun Zhao
2025 J jnl
Three-way clustering based on the graph of local density trend.
Int. J. Approx. Reason.
Haifeng Yang, Weiqi Wang, Jianghui Cai, Jie Wang, Yating Li, Yaling Xun, Xujun Zhao
2025 A* conf
Uncertainty-guided Graph Contrastive Learning from a Unified Perspective.
IJCAI
Zhiqiang Li, Jie Wang, Jianqing Liang, Junbiao Cui, Xingwang Zhao, Jiye Liang
2024 J jnl
Debiased graph contrastive learning based on positive and unlabeled learning.
Int. J. Mach. Learn. Cybern.
Zhiqiang Li, Jie Wang, Jiye Liang
2024 J jnl
GUIDE: Training Deep Graph Neural Networks via Guided Dropout Over Edges.
IEEE Trans. Neural Networks Learn. Syst.
Jie Wang, Jianqing Liang, Jiye Liang, Kaixuan Yao
2023 J jnl
Hybrid sampling-based contrastive learning for imbalanced node classification.
Int. J. Mach. Learn. Cybern.
Caixia Cui, Jie Wang, Wei Wei, Jiye Liang
2022 J jnl
Graph convolutional autoencoders with co-learning of graph structure and node attributes.
Pattern Recognit.
Jie Wang, Jiye Liang, Kaixuan Yao, Jianqing Liang, Dianhui Wang
2021 J jnl
A community detection algorithm based on graph compression for large-scale social networks.
Inf. Sci.
Xingwang Zhao, Jiye Liang, Jie Wang
2021 J jnl
Graph-based semi-supervised learning via improving the quality of the graph dynamically.
Mach. Learn.
Jiye Liang, Junbiao Cui, Jie Wang, Wei Wei
2021 J jnl
Semi-supervised learning with mixed-order graph convolutional networks.
Inf. Sci.
Jie Wang, Jianqing Liang, Junbiao Cui, Jiye Liang
2019 J jnl
A novel edge rewiring strategy for tuning structural properties in networks.
Knowl. Based Syst.
Junfang Mu, Wenping Zheng, Jie Wang, Jiye Liang
2019 J jnl
Local dense mixed region cutting + global rebalancing: a method for imbalanced text sentiment classification.
Int. J. Mach. Learn. Cybern.
Yang Li, Jie Wang, Suge Wang, Jiye Liang, Juanzi Li
2019 J jnl
Protein complex detection algorithm based on multiple topological characteristics in PPI networks.
Inf. Sci.
Jie Wang, Jiye Liang, Wenping Zheng, Xingwang Zhao, Junfang Mu
2019 J jnl
一种基于同配性的重叠蛋白质复合体检测算法 (Overlapping Protein Complexes Detection Algorithm Based on Assortativity in PPI Networks).
计算机科学
Jie Wang, Jiye Liang, Xingwang Zhao, Wenping Zheng
2016 J jnl
面向非平衡文本情感分类的TSF特征选择方法 (TSF Feature Selection Method for Imbalanced Text Sentiment Classification).
计算机科学
Jie Wang, Deyu Li, Suge Wang