Jie Wang

According to our database, Jie Wang authored at least 13 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Improve noise tolerance of robust feature selection via block-sparse projection learning.

Jie Wang, Zheng Wang, Yu Guo, Rong Wang, Fei Wang, Feiping Nie

Pattern Recognit., 2026

Selective-relaxed contrastive learning for hyperspectral image classification with noisy labels.

Jie Wang, Ziang Niu, Zheng Wang, Liaoyuan Tang, Bo Yan, Rong Wang, Feiping Nie

Pattern Recognit., 2026

Group-wise attentive enhancements for unsupervised feature selection.

Jie Wang, Yongjin Yuan, Ziang Niu, Lingyi Kong, Zheng Wang, Rong Wang, Feiping Nie

Knowl. Based Syst., 2026

Towards Federated Clustering: A Client-wise Private Graph Aggregation Framework.

Guanxiong He, Zheng Wang, Jie Wang, Liaoyuan Tang, Rong Wang, Feiping Nie

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

S2-Boost: Synergistic Semantic Boosting for Coarse-to-Fine Ensemble Learning.

Guanxiong He, Zheng Wang, Jie Wang, Liaoyuan Tang, Rong Wang, Feiping Nie

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Towards Federated Clustering: A Client-wise Private Graph Aggregation Framework.

Guanxiong He, Jie Wang, Liaoyuan Tang, Zhen Wang, Rong Wang, Feiping Nie

CoRR, November, 2025

Manifold-Aligned Consistency Contrastive Learning for Noise-Tolerant Hyperspectral Image Classification.

Jie Wang, Junti Wang, Guanxiong He, Zheng Wang, Rong Wang, Feiping Nie, Xuelong Li

IEEE Trans. Geosci. Remote. Sens., 2025

Dynamic T-distributed stochastic neighbor graph convolutional networks for multi-modal contrastive fusion.

Bo Xu, Guoxu Li, Jie Wang, Zheng Wang, Jianfu Cao, Rong Wang, Feiping Nie

Neurocomputing, 2025

Bidirectional fusion for deep contrastive multi-view clustering.

Yongbo Yu, Jie Wang, Weizhong Yu, Zihua Zhao, Zongcheng Miao, Feiping Nie

Expert Syst. Appl., 2025

Self-Supervised Localized Topology Consistency for Noise-Robust Hyperspectral Image Classification.

Jie Wang, Liaoyuan Tang, Guanxiong He, Zhe Cao, Zheng Wang, Rong Wang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Consensus Graph-Based Spectral Ensemble Clustering via Low-Rank Tensor Learning.

Zhe Cao, Haonan Xin, Zihua Zhao, Jie Wang, Rong Wang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Language Pre-training Guided Masking Representation Learning for Time Series Classification.

Liaoyuan Tang, Zheng Wang, Jie Wang, Guanxiong He, Zhezheng Hao, Rong Wang, Feiping Nie

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Outlier-Robust Feature Selection with ℓ2, 1-Norm Minimization and Group Row-Sparsity Induced Constraints.

Jie Wang, Zheng Wang, Rong Wang, Feiping Nie, Xuelong Li

Proceedings of the IEEE International Conference on Acoustics, 2024