Ying Mu - RankMe

17 papers A* 1Journal 16

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Analytical-Chemistry-Informed Transformer for Infrared Spectra Modeling. AAAI Shiluo Huang, Yining Jin, Wei Jin, Ying Mu
2024	J	`jnl`	A novel method based on near-infrared imaging spectroscopy and graph-learning to evaluate the dyeing uniformity of polyester yarn. Eng. Appl. Artif. Intell. Zheng Liu, Shiluo Huang, Wei Jin, Ying Mu
2024	J	`jnl`	Consensus local graph for multiple kernel clustering. Neurocomputing Zheng Liu, Shiluo Huang, Wei Jin, Ying Mu
2024	J	`jnl`	Local kernels based graph learning for multiple kernel clustering. Pattern Recognit. Zheng Liu, Shiluo Huang, Wei Jin, Ying Mu
2024	J	`jnl`	Superpixel-based multi-scale multi-instance learning for hyperspectral image classification. Pattern Recognit. Shiluo Huang, Zheng Liu, Wei Jin, Ying Mu
2023	J	`jnl`	A deep multi-instance neural network for dyeing-free inspection of yarn dyeing uniformity. Eng. Appl. Artif. Intell. Shiluo Huang, Zheng Liu, Wei Jin, Ying Mu
2023	J	`jnl`	Learning local graph from multiple kernels. Neurocomputing Zheng Liu, Shiluo Huang, Wei Jin, Ying Mu
2022	J	`jnl`	A Superpixel-Correlation-Based Multiview Approach for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. Shiluo Huang, Zheng Liu, Wei Jin, Ying Mu
2022	J	`jnl`	A fisher score-based multi-instance learning method assisted by mixture of factor analysis. Neurocomputing Shiluo Huang, Zheng Liu, Wei Jin, Ying Mu
2022	J	`jnl`	Bag dissimilarity regularized multi-instance learning. Pattern Recognit. Shiluo Huang, Zheng Liu, Wei Jin, Ying Mu
2022	J	`jnl`	Learning robust graph for clustering. Int. J. Intell. Syst. Zheng Liu, Wei Jin, Ying Mu
2022	J	`jnl`	Subspace embedding for classification. Neural Comput. Appl. Zheng Liu, Wei Jin, Ying Mu
2021	J	`jnl`	Broad learning system for semi-supervised learning. Neurocomputing Zheng Liu, Shiluo Huang, Wei Jin, Ying Mu
2021	J	`jnl`	Broad learning system with manifold regularized sparse features for semi-supervised classification. Neurocomputing Shiluo Huang, Zheng Liu, Wei Jin, Ying Mu
2021	J	`jnl`	Graph-based broad learning system for classification. Neurocomputing Zheng Liu, Shiluo Huang, Wei Jin, Ying Mu
2020	J	`jnl`	Graph-based boosting algorithm to learn labeled and unlabeled data. Pattern Recognit. Zheng Liu, Wei Jin, Ying Mu
2020	J	`jnl`	Variances-constrained weighted extreme learning machine for imbalanced classification. Neurocomputing Zheng Liu, Wei Jin, Ying Mu