※教师简介

黄士罗，现任永利yl23411集团官网讲师、硕士生导师。2023年6月毕业于浙江大学，获得博士学位。研究涉及深度学习、机器学习等领域，目前主要关注光谱分析算法、科学大模型等科学智能相关课题。参与国家自然科学基金项目，在国际知名期刊或会议发表10余篇论文。

欢迎具有探索求知欲、对相关方向感兴趣的同学与我联系。

※研究领域

深度学习

机器学习

光谱与成像光谱分析

※教育背景

2021/03-2023/06  浙江大学 博士

2018/09-2021/03  浙江大学 硕士（硕博连读）

2014/09-2018/06  南京航空航天大学 学士

※职业经历

2023/07年至今  永利yl23411集团官网 讲师

※研究成果

代表性学术论文

[15] Shiluo Huang, Yining Jin, Wei Jin, Ying Mu, Analytical-Chemistry-Informed Transformer for Infrared Spectra Modeling, AAAI, 2025 （CCF推荐A类会议，财大外A）

[14] Shiluo Huang, Zheng Liu, Wei Jin, Ying Mu, Superpixel-based multi-scale multi-instance learning for hyperspectral image classification, Pattern Recognition, 2024 （中科院一区，财大外A）

[13] Shiluo Huang, Zheng Liu, Wei Jin, Ying Mu, A deep multi-instance neural network for dyeing-free inspection of yarn dyeing uniformity, Engineering Applications of Artificial Intelligence, 2023

[12] Shiluo Huang, Zheng Liu, Wei Jin, Ying Mu, Bag dissimilarity regularized multi-instance learning, Pattern Recognition, 2022 （中科院一区，财大外A）

[11] Shiluo Huang, Zheng Liu, Wei Jin, Ying Mu, A fisher score-based multi-instance learning method assisted by mixture of factor analysis, Neurocomputing, 2022 （财大外A）

[10] Shiluo Huang, Zheng Liu, Wei Jin, Ying Mu, Broad learning system with manifold regularized sparse features for semi-supervised classification, Neurocomputing, 2021 （财大外A）

[9] Shiluo Huang, Zheng Liu, Wei Jin, Ying Mu, A superpixel-correlation-based multiview approach for hyperspectral image classification, IEEE Geoscience and Remote Sensing Letters, 2021

[8] Shiluo Huang, Zheng Liu, Wei Jin, Ying Mu, A vision based method for automated measurement of circular fiber cross-sections, Measurement, 2020

[7] Zheng Liu, Shiluo Huang, Wei Jin, Ying Mu, Local kernels based graph learning for multiple kernel clustering, Pattern Recognition, 2024 （财大外A）

[6] Zheng Liu, Shiluo Huang, Wei Jin, Ying Mu, A novel method based on near-infrared imaging spectroscopy and graph-learning to evaluate the dyeing uniformity of polyester yarn, Engineering Applications of Artificial Intelligence, 2024

[5] Zheng Liu, Shiluo Huang, Wei Jin, Ying Mu, Consensus local graph for multiple kernel clustering, Neurocomputing, 2024 （财大外A）

[4] Zheng Liu, Shiluo Huang, Wei Jin, Ying Mu, Broad learning system for semi-supervised learning, Neurocomputing, 2021 （财大外A）

[3] Zheng Liu, Shiluo Huang, Wei Jin, Ying Mu, Graph-based broad learning system for classification, Neurocomputing, 2021（财大外A）

[2] Zheng Liu, Shiluo Huang, Wei Jin, Ying Mu, Learning local graph from multiple kernels, Neurocomputing, 2023 （财大外A）

[1] Dengjie Yu, Bingwen Yu, Xuchen Zhang, Shiluo Huang, Yangwei Ying, Yuwei Yan, Yining Jin, Wei Jin, Photographic Analysis and Optical Diagnosis of Kilowatt Microwave Plasma Torch with Air Carrier Gas, Chemical Research in Chinese Universities, 2023

主要科研项目

国家自然科学基金面上项目，62073287, 空气载气氩微波等离子体炬激发光源及其特性研究，2021-01至2024-12，主研，结题