Shiluo Huang

According to our database, Shiluo Huang authored at least 14 papers between 2021 and 2025.

Collaborative distances:

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

2025

Analytical-Chemistry-Informed Transformer for Infrared Spectra Modeling.

Shiluo Huang, Yining Jin, Wei Jin, Ying Mu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Local kernels based graph learning for multiple kernel clustering.

Zheng Liu, Shiluo Huang, Wei Jin, Ying Mu

Pattern Recognit., 2024

Superpixel-based multi-scale multi-instance learning for hyperspectral image classification.

Shiluo Huang, Zheng Liu, Wei Jin, Ying Mu

Pattern Recognit., 2024

Consensus local graph for multiple kernel clustering.

Zheng Liu, Shiluo Huang, Wei Jin, Ying Mu

Neurocomputing, 2024

A novel method based on near-infrared imaging spectroscopy and graph-learning to evaluate the dyeing uniformity of polyester yarn.

Zheng Liu, Shiluo Huang, Wei Jin, Ying Mu

Eng. Appl. Artif. Intell., 2024

Incremental Learning of Stock Trends via Meta-Learning with Dynamic Adaptation.

Shiluo Huang, Zheng Liu, Ye Deng, Qing Li

CoRR, 2024

2023

Learning local graph from multiple kernels.

Zheng Liu, Shiluo Huang, Wei Jin, Ying Mu

Neurocomputing, November, 2023

A deep multi-instance neural network for dyeing-free inspection of yarn dyeing uniformity.

Shiluo Huang, Zheng Liu, Wei Jin, Ying Mu

Eng. Appl. Artif. Intell., 2023

2022

Bag dissimilarity regularized multi-instance learning.

Shiluo Huang, Zheng Liu, Wei Jin, Ying Mu

Pattern Recognit., 2022

A Superpixel-Correlation-Based Multiview Approach for Hyperspectral Image Classification.

Shiluo Huang, Zheng Liu, Wei Jin, Ying Mu

IEEE Geosci. Remote. Sens. Lett., 2022

A fisher score-based multi-instance learning method assisted by mixture of factor analysis.

Shiluo Huang, Zheng Liu, Wei Jin, Ying Mu

Neurocomputing, 2022

2021

Graph-based broad learning system for classification.

Zheng Liu, Shiluo Huang, Wei Jin, Ying Mu

Neurocomputing, 2021

Broad learning system for semi-supervised learning.

Zheng Liu, Shiluo Huang, Wei Jin, Ying Mu

Neurocomputing, 2021

Broad learning system with manifold regularized sparse features for semi-supervised classification.

Shiluo Huang, Zheng Liu, Wei Jin, Ying Mu

Neurocomputing, 2021