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姓名：		罗甫林
职称：		教授
研究方向：		图像处理，计算机视觉，生物医学
联系方式：		luoflyn@cqu.edu.cn

罗甫林，重庆大学计算机学院教授，博士生导师，IEEE Senior Member。重庆大学博士，新加坡南洋理工大学和武汉大学博士后，获得“全国博士后创新人才支持计划”、重庆市优秀博士学位论文和优秀硕士论文。主要围绕深度学习、迁移学习、稀疏表示、图学习等理论在遥感图像处理、计算机视觉、生物医学分析领域展开研究，目前在国内外重要期刊和会议上发表论文40余篇，其中SCI论文21篇，CCF A类会议2篇，入选ESI高被引论文7篇，申请发明专利6项，其中授权4项。主持国家自然科学基金面上项目1项、国家青年科学基金项目1项、中国博士后创新人才资助项目1项、中国博士后科学基金特别资助(站中)项目1项、中国博士后科学基金面上资助项目2项、湖北省博士后择优资助项目1项、中央高校基金项目1项、重点实验室开放基金项目9项；作为研究骨干参与国家重点研发计划1项(课题联系人)、国家自然科学基金重点项目1项、国家优秀青年科学基金1项、国家自然科学基金面上项目3项、国家青年科学基金项目1项、湖北省重大科技项目1项。此外，担任Remote Sensing客座编辑，IEEE Transactions on Cybernetics、IEEE Transactions on Image Processing、IEEE Transactions on Geoscience and Remote等期刊的审稿人和AAAI、IJCAI、IJCNN等会议审稿人。

论文列表

a) 排名及影响因子出处：科睿唯安(原汤森路透)Journal Citation Reports（JCR）“https://jcr.clarivate.com/JCRLandingPageAction.action“.

b) 通讯作者标注*.

1. 期刊论文

[1] Fulin Luo, Zehua Zou, Jiamin Liu*, Zhiping Lin. Dimensionality reduction and classification of hyperspectral image via multi-structure unified discriminative embedding, IEEE Transactions on Geoscience and Remote Sensing, 2022, Doi: 10.1109/TGRS.2021.3128764.

[2] Tan Guo, Fulin Luo*, Leyuan Fang, Bob Zhang. Meta-Pixel-Driven Embeddable Discriminative Target and Background Dictionary Pair Learning for Hyperspectral Target Detection [J]. Remote Sensing, 2022, 14(3): 481.

[3] Bo Du, Ziyi Liu, Fulin Luo*. Deep multi-scale attention network for RNA-binding proteins prediction [J]. Information Sciences, 2022, 582: 287-301.

[4] Guangyao Shi, Fulin Luo*, Yiming Tang, Yuan Li. Dimensionality Reduction of Hyperspectral Image Based on Local Constrained Manifold Structure Collaborative Preserving Embedding [J]. Remote Sensing, 2021, 13(7): 1363.

[5] Fulin Luo, Liangpei Zhang*, Bo Du*, Lefei Zhang. Dimensionality Reduction with Enhanced Hybrid-graph Discriminant Learning for Hyperspectral Image Classification [J]. IEEE Transactions on Geoscience and Remote Sensing, 2020, 58(8): 5336-5353.

[6] Fulin Luo, Liangpei Zhang, Xiaocheng Zhou, Tan Guo, Yanxiang Cheng*, Tailang Yin*. Sparse-Adaptive Hypergraph Discriminant Analysis for Hyperspectral Image Classification [J]. IEEE Geoscience and Remote Sensing Letters, 2020, 17(6): 1082-1086.

[7] Fulin Luo, Yajuan Huang, Weiping Tu*, Jiamin Liu*. Local Manifold Sparse Model for Image Classification [J]. Neurocomputing, 2020, 382: 162-173.

[8] Fulin Luo, Tan Guo*, Zhiping Lin, Jinchang Ren, Xiaocheng Zhou. Semi-supervised hypergraph discriminant learning for hyperspectral image classification [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, 13: 4242-4256.

[9] Weiwen Wu, Dianlin Hu, Kang An, Shaoyu Wang, Fulin Luo*. A high-quality photon-counting CT technique based on weight adaptive total-variation and image-spectral tensor factorization for small animals imaging [J]. IEEE Transactions on Instrumentation and Measurement, 2020, 70: 2502114.

[10] Liangpei Zhang, Fulin Luo*. Review on graph learning for dimensionality reduction of hyperspectral image [J]. Geo-spatial Information Science, 2020, 23(1): 98-106.

[11] Tan Guo, Fulin Luo*, Lei Zhang, Bob Zhang, Xiaoheng Tan, Xiaocheng Zhou. Learning Structurally Incoherent Background and Target Dictionaries for Hyperspectral Target Detection [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, 13: 3521 - 3533.

[12] Tan Guo, Fulin Luo*, Lei Zhang, Xiaoheng Tan, Juhua Liu, Xiaocheng Zhou. Target Detection in Hyperspectral Imagery via Sparse and Dense Hybrid Representation [J]. IEEE Geoscience and Remote Sensing Letters, 2020, 17(4): 716-720.

[13] Fulin Luo, Bo Du*, Liangpei Zhang, Lefei Zhang, Dacheng Tao. Feature Learning Using Spatial-Spectral Hypergraph Discriminant Analysis for Hyperspectral Image [J]. IEEE Transactions on Cybernetics, 2019, 49(7): 2406-2419.

[14] Fulin Luo, Hong Huang*, Yule Duan, Jiamin Liu, Yinghua Liao. Local geometric structure feature for dimensionality reduction of hyperspectral imagery [J]. Remote Sensing, 2017, 9(8): 790.

[15] Fulin Luo, Hong Huang*, Jiamin Liu, Zezhong Ma. Fusion of graph embedding and sparse representation for feature extraction and classification of hyperspectral imagery [J]. Photogrammetric Engineering & Remote Sensing, 2017, 83(1): 37-46.

[16] Fulin Luo*, Hong Huang, Zezhong Ma, Jiamin Liu. Semi-supervised sparse manifold discriminative analysis for feature extraction of hyperspectral images [J]. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(10): 6197-6221.

2. 会议论文

[1] Ziyi Liu, Fulin Luo*, Bo Du*. RNA secondary structure representation network for RNA-proteins binding prediction [C]. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2021, 35(1): 361-370.

[2] Zehua Zou, Fulin Luo*, Jiamin Liu*, Guangyao Shi, Yufei Liu. Local structure graph discriminant embedding for hyperspectral image classification [C]. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Brussels, Belgium, 11-16, July, 2021.

[3] Fulin Luo*, Liangpei Zhang, Bo Du, Lefei Zhang, Yanni Dong. Discriminant Spatial-Spectral Hypergraph Learning for Hyperspectral Image Classification [C]. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Valencia, Spain, 22-27, July, 2018, pp. 8480-8483.

[4] Fulin Luo, Hong Huang*, Yaqiong Yang, Zhiyong Lv. Dimensionality reduction of hyperspectral images with local geometric structure Fisher analysis [C]. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, China, 10-15, July, 2016, pp. 52-55.

3. 中文论文

[1] 罗甫林*. 高光谱图像稀疏流形学习方法研究[J]. 测绘学报, 2017, 46(3): 400.

[2] 罗甫林, 黄鸿*, 刘嘉敏, 冯海亮. 基于半监督稀疏流形嵌入的高光谱影像特征提取[J]. 电子与信息学报, 2016, 38(9): 2321-2329.

[3] 罗甫林, 黄鸿*, 刘嘉敏, 马泽忠. 基于鉴别稀疏保持嵌入的高光谱影像地物分类[J]. 仪器仪表学报, 2016, 37(1): 177-183.

[4] 刘嘉敏, 罗甫林*, 黄鸿, 刘亦哲. 应用相关近邻局部线性嵌入算法的高光谱遥感影像分类[J]. 光学精密工程, 2014, 22(6): 1668-1676.

[5] 刘嘉敏, 罗甫林*, 黄鸿, 杨璧泽. 融合夹角度量的局部线性嵌入算法[J]. 光电工程, 2013, 40(6): 97-105.

主持项目

[1] 国家自然科学基金面上, 62071340, 多视图超图卷积网络的高光谱图像无监督学习方法研究, 2021/1-2024/12.

[2] 国家青年科学基金, 61801336, 高光谱遥感图像超图迁移学习方法研究, 2019/1-2021/12.

[3] 第13批中国博士后科学基金特别资助项目, 2020T130480, 基于超图神经网络的高光谱遥感图像特征表达与地物分类, 2020/7-2021/6.

[4] 第66批中国博士后基金面上项目, 2019M662717, 面向高光谱图像分类的跨域特征表达方法研究, 2019/11-2021/05.

[5] 第二届中国博士后创新人才计划, BX201700182, 高光谱遥感数据深度特征表达与回归模型, 2017/5-2019/4.

[6] 第62批中国博士后基金面上项目, 2017M622521, 面向高光谱遥感影像分类的稀疏空-谱超图特征学习研究, 2017/11-2019/10.

[7] 中央高校基本科研业务费专项资金项目, 2042020kf0013, 基于单域与多域学习的高光谱图像分类, 2020/01-2021/12.

授权专利

[1] 刘嘉敏, 彭玲, 罗甫林, 袁佳成, 刘军委, 邓勇. 基于稀疏表示与集成学习的轴承故障分类诊断方法, ZL201610096063.0.

[2] 黄鸿, 罗甫林, 马泽忠, 刘智华, 杨娅琼. 一种稀疏自适应半监督多流形学习的高光谱影像分类方法, ZL201510197492.2.

[3] 刘嘉敏, 刘军委, 刘亦哲, 罗甫林, 彭玲, 黄鸿. 基于稀疏表示和大间隔分布学习的轴承故障分类诊断方法, ZL201510099984.8.

[4] 刘嘉敏, 罗甫林, 黄鸿, 韩耀顺, 刘亦哲. 基于稀疏保持流形嵌入的高光谱遥感影像分类方法, ZL201410024004.3.

专业服务

1. Guest Editor

[1] Remote Sensing Special Issue on State-of-the-Art Remote Sensing Image Scene Classification

2. Organizing Committee

[1] 2023 International Conference on Image and Graphics Processing (Program Co-chairs)

3. Program Committee Member

[1] International Joint Conference on Neural Networks (IJCNN)

[2] Association for the Advance of Artificial Intelligence (AAAI)

[3] International Joint Conferences on Artificial Intelligence (IJCAI)

4. Journal Review

[1] IEEE Transactions on Cybernetics

[2] ISPRS Journal of Photogrammetry and Remote Sensing

[3] IEEE Transactions on Image Processing

[4] IEEE Transactions on Geoscience and Remote

[5] IEEE Transactions on Knowledge and Data Engineering

[6] IEEE Transactions on Circuits and Systems for Video Technology

[7] IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

[8] IEEE Geoscience and Remote Sensing Letters