姓名：马龙 职称：教授
性别：男
出生日期：1977/08
所在专业：机械工程
硕士生指导教师：是
博士生指导教师：否
E-mail：malong1227@gmail.com
联系电话：13998155380
研究方向：机器学习/深度学习；颜色科学与影像技术
***********教育经历及工作经历*********
2003/09~2007/03，东北大学，计算机软件与理论，博士
2007/03~2010/12，中科院沈阳自动化研究所，博士后
2011/01~，沈阳建筑大学
***********科研项目***********
(9) 辽宁省教育厅, 严寒及寒冷地区精细化建筑热工与能源利用创新团队，2024-09-01 至 2027-08-31, 10万元，参与；
(8) 辽宁省科学技术厅，面向肿瘤治疗的多尺寸二氧化硅纳米颗粒合成的微流控方法研究，2024-09-01 至 2026-08-31，参与；
(7) 辽宁省教育厅一般科研项目，受损围护结构热湿空气耦合迁移对建筑动态性能影响分析，2020-01-01 至 2022-07-31, 参与；
(6) 多孔裂缝围护结构HAM耦合迁移非连续模型及动态性能研究，国家自然科学基金，52078308，2021/01/01-2024/12/31，参与
(5) 皮肤反射比重建问题研究，辽宁省自然科学基金，20170540766，2017/05/01-2020/04/30，主持
(4) 基于RGB图像的光谱反射比重建研究，辽宁省自然科学基金，2013020005，2013/09/30-2016/09/30，主持
(3) 多光谱图像压缩技术研究，辽宁省教育厅科研项目，L2011091，2012/01/01-2013/12/31，主持
(2) 加油（气）站信息管理系统，2021年 横向课题，主持
(1) 大数据任务调度平台，2021年 横向课题，主持
***********发表论文***********
（一）期刊论文
[8] Zican Sang, Long Ma. Research on Hyperspectral and Multispectral Fusion Method Based on Quadratic Optimization Model[J]. Journal of Imaging Science & Technology, 2026.（已录用。SCI检索，通讯作者）
[7] Li J, Ma L. Adaptive spatial-spectral collaborative attention network for hyperspectral pansharpening[J]. Signal, Image and Video Processing, 2026, 20(1): 36.（已录用。SCI检索，通讯作者）
[6] An Q, Ma L. AFMNet: A Dual-Domain Collaborative Network with Frequency Prior Guidance for Low-Light Image Enhancement[J]. Entropy, 2025, 27(12): 1220.（SCI检索，通讯作者）
[5] An Q, Ma L. HGDI-Net: Hierarchical-guidance driven iteration for low-light image enhancement[J]. Signal, Image and Video Processing, 2025, 19(17): 1427.（SCI检索，通讯作者）
[4] Yue Y, Ma L, Li P. PEDNet: Physics-guided Encoder–Decoder Network for Image Dehazing[J]. Journal of Imaging Science and Technology, 2025, 69(6): 1-7.（SCI检索，通讯作者）
[3] Liang C, Ma L, Zhao E. Spectral Reflectance Reconstruction based on LED Light Sources[J]. Journal of Imaging Science & Technology, 2025, 69(2).（SCI检索，通讯作者）
[2] Ma L, Li M. Image defogging method combining variational model and alternating least squares[J]. Journal of Optics, 2025, 54(4): 1482-1490.（EI检索，通讯作者）
[1]尹永恒,马龙,李鹏.色调分区加权约束的色调平面保持相机特性化[J].光学学报,2024,44(09):301-311.（EI检索，通讯作者）
（二）会议论文
[19] Ma L, Peng Y. Low-light image enhancement based on the combination of adaptive variational model and alternating least square method[C]//2025 AI Photonics Technology Symposium. SPIE, 2025, 13783: 151-164.
[18] Ma L, Zhang Y. SwinT-SpecNet: hyperspectral image super-resolution reconstruction via dual-branch collaboration and three-stage dynamic fusion[C]//2025 AI Photonics Technology Symposium. SPIE, 2025, 13783: 135-150.
[17] Xudong H, Long M, Peng L. Spatially variable convolutional compression color constancy network with multiple bias corrections[C]//2025 AI Photonics Technology Symposium. SPIE, 2025, 13783: 27-42.
[16] Ye W, Ma L. A study of Raman spectral reconstruction based on median filtering and weighted Wiener estimation[C]//2025 AI Photonics Technology Symposium. SPIE, 2025, 13783: 9-15.
[15] Zhang H, Zhao E, Ma L. Interim Connection Space Based on Polynomial Models for Multispectral Image Compression and Reconstruction[C]//2024 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML). IEEE, 2024: 232-236.
[14] Ma L, Zhao F. Multispectral imaging light estimation based on convolutional neural networks[C]//2024 AI Photonics Technology Symposium. SPIE, 2024, 13227: 67-74.
[13] Zhu S, Ma L. Combining global gate axial-attention with U-Net for skin lesion segmentation[C]//2024 AI Photonics Technology Symposium. SPIE, 2024, 13227: 19-32.
[12] Ye W, Ma L. Denoising reconstruction of Raman spectra based on wavelet transform and weighted Wiener estimation[C]//2024 AI Photonics Technology Symposium. SPIE, 2024, 13227: 50-56.
[11] Hou X, Ma L, Li P. Patch-based dual-channel weighted image color constancy network[C]//2024 AI Photonics Technology Symposium. SPIE, 2024, 13227: 57-66.
[10] Liang C, Zhao E, Ma L. Locally weighted model spectral reflectance reconstruction based on LED multi-illuminant[C]//2024 AI Photonics Technology Symposium. SPIE, 2024, 13227: 5-18.
[9] Ma L, Li M. DCT with alternating least squares post-processing for variational defogging[C]//International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024). SPIE, 2024, 13213: 460-467.
[8] Zhao F, Ma L. Multi-spectral illumination estimation based on residual network[C]//International Conference on Optoelectronic Information and Functional Materials (OIFM 2024). SPIE, 2024, 13183: 274-281.
[7] Ma L, Chen H. Study on spectral adaptive transformation based on chromatic aberration[C]//Intelligent Photonics (Meta) Technology Symposium (IPTS2023). SPIE, 2023, 12785: 31-46.
[6] Ma L, Xu B. Camera spectral sensitivity estimation based on spectrally tunable LED illumination[C]//Intelligent Photonics (Meta) Technology Symposium (IPTS2023). SPIE, 2023, 12785: 18-30.
[5] Ma L, Chen J. Improved color accuracy of the camera using optimized matching illumination method[C]//Intelligent Photonics (Meta) Technology Symposium (IPTS2023). SPIE, 2023, 12785: 47-56.
[4] Ma L, Qian Z. Optimization of RGB image spectral reconstruction based on radial basis function networks[C]//Intelligent Photonics (Meta) Technology Symposium (IPTS2023). SPIE, 2023, 12785: 57-67.
[3] Xu K, Ma L, Li P. Metamer mismatch volume calculation method based on high-dimensional spherical sampling[C]//Intelligent Photonics (Meta) Technology Symposium (IPTS2023). SPIE, 2023, 12785: 9-17.
[2] Ma L, Chen H. Color characterization of multispectral camera based on pattern search algorithm[C]//Second Optics Frontier Conference (OFS 2022). SPIE, 2022, 12307: 54-68.
[1] Xu B, Ma L, Li P. Rank-based camera spectral sensitivity estimation under multiple illuminations[C]//Second Optics Frontier Conference (OFS 2022). SPIE, 2022, 12307: 46-53.
