| 黄士罗 人工智能系 讲师、硕士生导师 E-mail：huangsl@swufe.edu.cn
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※教师简介
黄士罗，现任西南财经大学555000a公海会员中心讲师、硕士生导师。2023年6月毕业于浙江大学，获得博士学位。黄士罗主要研究方向涉及深度学习、机器学习、光谱与成像光谱分析等，在国际顶级期刊发表10余篇论文。
※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 西南财经大学555000a公海会员中心 讲师
※研究成果
代表性学术论文
[1] Shiluo Huang, Zheng Liu, Wei Jin, Ying Mu, Superpixel-based multi-scale multi-instance learning for hyperspectral image classification, Pattern Recognition, 2024
[2] 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
[3] Shiluo Huang, Zheng Liu, Wei Jin, Ying Mu, Bag dissimilarity regularized multi-instance learning, Pattern Recognition, 2022
[4] Shiluo Huang, Zheng Liu, Wei Jin, Ying Mu, Broad learning system with manifold regularized sparse features for semi-supervised classification, Neurocomputing, 2021
[5] 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
[6] 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
[8] 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
[9] Zheng Liu, Shiluo Huang, Wei Jin, Ying Mu, Broad learning system for semi-supervised learning, Neurocomputing, 2021
[10] Zheng Liu, Shiluo Huang, Wei Jin, Ying Mu, Learning local graph from multiple kernels, Neurocomputing, 2023
[11] 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
[1] 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，在研
