Jie Wang - RankMe

13 papers A* 3Misc 3Journal 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Group-wise attentive enhancements for unsupervised feature selection. Knowl. Based Syst. Jie Wang, Yongjin Yuan, Ziang Niu, Lingyi Kong, Zheng Wang, Rong Wang, Feiping Nie
2026	J	`jnl`	Improve noise tolerance of robust feature selection via block-sparse projection learning. Pattern Recognit. Jie Wang, Zheng Wang, Yu Guo, Rong Wang, Fei Wang, Feiping Nie
2026	A*	`conf`	S2-Boost: Synergistic Semantic Boosting for Coarse-to-Fine Ensemble Learning. AAAI Guanxiong He, Zheng Wang, Jie Wang, Liaoyuan Tang, Rong Wang, Feiping Nie
2026	J	`jnl`	Selective-relaxed contrastive learning for hyperspectral image classification with noisy labels. Pattern Recognit. Jie Wang, Ziang Niu, Zheng Wang, Liaoyuan Tang, Bo Yan, Rong Wang, Feiping Nie
2026	A*	`conf`	Towards Federated Clustering: A Client-wise Private Graph Aggregation Framework. AAAI Guanxiong He, Zheng Wang, Jie Wang, Liaoyuan Tang, Rong Wang, Feiping Nie
2025	J	`jnl`	Bidirectional fusion for deep contrastive multi-view clustering. Expert Syst. Appl. Yongbo Yu, Jie Wang, Weizhong Yu, Zihua Zhao, Zongcheng Miao, Feiping Nie
2025	Misc	`conf`	Consensus Graph-Based Spectral Ensemble Clustering via Low-Rank Tensor Learning. ICASSP Zhe Cao, Haonan Xin, Zihua Zhao, Jie Wang, Rong Wang
2025	J	`jnl`	Dynamic T-distributed stochastic neighbor graph convolutional networks for multi-modal contrastive fusion. Neurocomputing Bo Xu, Guoxu Li, Jie Wang, Zheng Wang, Jianfu Cao, Rong Wang, Feiping Nie
2025	A*	`conf`	Language Pre-training Guided Masking Representation Learning for Time Series Classification. AAAI Liaoyuan Tang, Zheng Wang, Jie Wang, Guanxiong He, Zhezheng Hao, Rong Wang, Feiping Nie
2025	J	`jnl`	Manifold-Aligned Consistency Contrastive Learning for Noise-Tolerant Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. Jie Wang, Junti Wang, Guanxiong He, Zheng Wang, Rong Wang, Feiping Nie, Xuelong Li
2025	Misc	`conf`	Self-Supervised Localized Topology Consistency for Noise-Robust Hyperspectral Image Classification. ICASSP Jie Wang, Liaoyuan Tang, Guanxiong He, Zhe Cao, Zheng Wang, Rong Wang
2025	J	`jnl`	Towards Federated Clustering: A Client-wise Private Graph Aggregation Framework. CoRR Guanxiong He, Jie Wang, Liaoyuan Tang, Zhen Wang, Rong Wang, Feiping Nie
2024	Misc	`conf`	Outlier-Robust Feature Selection with ℓ2, 1-Norm Minimization and Group Row-Sparsity Induced Constraints. ICASSP Jie Wang, Zheng Wang, Rong Wang, Feiping Nie, Xuelong Li