杨 斌
职称：教授 研究方向：图像处理，模式识别，深度学习 联系电话：0734-8578046 E-mail：yangbin01420@163.com |
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个人简介
杨斌，男，1980年，博士，教授，IEEE会员，2010年12月毕业与湖南大学电气信息工程学院，控制科学与工程专业，湖南省青年骨干教师，湖南省教育系统优秀共产党员，湖南省普通高校教师党支部书记“双带头人”标兵，湖南省优秀博士学位论文获得者，2021年he 2023年美国斯坦福大学发布的全球前2%顶尖科学家榜单，一直从事模式识别、深度学习理论、稀疏表示理论、多尺度几何分析及图像处理等方向的研究。获得国家自然科学二等奖1项（排名第四）、湖南省自然科学一等奖1项（排名第四），湖南省科技进步二等奖（排名第六），主持国家自然科学基金2项、湖南省自然科学基金1项、湖南省教育厅项目2项，湖南省优秀青年项目1项，主持省级教学改革项目1项。发表高水平学术论文60余篇，其中SCI收录20余篇，高被引论文2篇，获国家发明专利2项。
主要课题
1. 国家自然科学基金面上项目（61871210）：基于卷积神经网络的图像融合及质量提升理论研究, 2019.01-2022.12, 63万，在研，主持
2. 湖南省普通高等学校教学改革研究项目（2017SJG15），新工科背景下电子信息工程专业OBE人才培养模式探索与研究，2017，20180101-20201231,1万，主持
3. 湖南教育厅优秀青年基金项目（16B225）：基于中高层图像特征指导的红外与可见光图像融合理论研究，2016.09-2019.12，3万，主持
4. 湖南自然科学基金项目（2016JJ3106）：面向图像融合的多输入卷积神经网络理论及应用研究，2016.01-2018.12，5万，主持
5. 南华大学青年英才支持计划（聘字2014-004号），图像压缩传感理论及其应用研究，2014.09-2017.08，10万，主持
6. 国家自然科学基金项目（61102108）：压缩传感域图像融合新方法研究, 2012.01-2014.12, 25万，已结题，主持
7. 湖南省教育厅级科研项目（11C1101）：基于压缩传感理论的多传感器图像融合理论研究，2012.01-2013.12，1万，已结题，主持
8. 南华大学校内博士启动基金（2011XQD29）：面向压缩感知的多传感器图像融合理论研究（2012.01-2014.12, 10万），主持
9. 湖南省优秀博士学位论文资助项目（YB2013B039）：基于压缩感知的图像恢复理论及其在辐射环境下的应用，2013.01-2015.12，3万，主持
10. 湖南省教育厅重点科研项目（12A115）：基于信息融合的多视觉传感抗辐射加固技术研究，2012.1-2015.12, 5万，已结题，参与排名第二
11. 参与国家自然科学基金(60871096)：像素级多传感器图像融合关键问题研究, 2009.1-2011.12. 35万，已结题，参与排名第二
主要论文
1. Jiawei Deng and Bin Yang*. Hyperspectral and multispectral image fusion via residual selective kernel attention-based U-net, International Journal of Remote Sensing, 45(5):1699-1726, 20 Feb 2024. DOI: 10.1080/01431161.2024.2318766. (SCI EI收录) SCI JCR 2区 中科研 3区
2. 吴潮宇, 杨斌. 基于大核重参UNet网络的遥感影像变化检测, 计算机工程，已接受。
3. Ruyi Yin, Bin Yang, and Zuyan Huang, MDRDA-GAN: A Multi-discriminator Generative Adversarial Network Based on Residual Dense Attention for Remote Sensing Image Fusion, in Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering, November 17-19 2023, Dalian, China, Pages 278–285, ICAICE 2023. https://doi.org/10.1145/3652628.3652674
4. Songling He, Bin Yang, CGCMFNet: Context-Guided Cross-Modal Fusion Network for RGB-T Salient Object Detection, in Proceedings of the 5th International Conference on Computer Information and Big Data Applications, April 26 - 28, 2024, Wuhan China, Pages 45 - 51, CIBDA '24, https://doi.org/10.1145/3671151.3671160
5. Ruyi Yin, Bin Yang*, Zuyan Huang and Xiaozhi Zhang. DSA-Net: Infrared and Visible Image Fusion via Dual-Stream Asymmetric Network，Sensors 2023, 23, 7097(1-21). SCI 中科院3区
6. Zuyan Huang, *Bin Yang, and Chang Liu, RDCa-Net: residual dense channel attention symmetric network for infrared and visible image fusion, Infrared Physics and Technology, vol. 130: 104589, May 2023. SCI 中科院2区top期刊
7. Dengpeng Zou, *Bin Yang, Yuehua Li, Xiaozhi Zhang, and Lihui Pang, Visible and NIR Image Fusion Based on Multiscale Gradient Guided Edge-smoothing Model and Local Gradient Weight, IEEE Sensors Journal, 23(3): 2783-2793, 01 Februray 2023. (SCI EI收录) SCI 中科院2区top期刊
8. Dengpeng Zou, *Bin Yang, Infrared and low-light visible image fusion based on hybrid multiscale decomposition and adaptive light adjustment, Optics and Lasers in Engineering, vol. 160: 107268, January 2023. SCI 中科院2区
9. Ruyi Yin, Bin Yang, Zuyan Huang, MDRDA-GAN: A Multi-discriminator Generative Adversarial Network Based on Residual Dense Attention for Remote Sensing Image Fusion, The 4th International Conference on Artificial Intelligence and Computer Engineering, vol. 1, 17-19 Nov. 2023, Dalian China
10. Shuangyu Cheng, *Bin Yang, An efficient single image dehazing algorithm based on transmission map estimation with image fusion, Engineering Science and Technology, an International Journal, 35:101190, November 2022. (SCI EI收录).
11. *Bin Yang, Qiang Chen, Efficient Multi‑focus Image Fusion Using Parameter Adaptive Pulse Coupled Neural Network Based Consistency Verification, Sensing and Imaging, 23(1): Article number: 21, December 2022. (EI收录)
12. ZiQi Zhao, Bin Yang, ChuiSheng Qian and YuanGuang Zhang，Scene Semantic Anomaly Detection of Multi-Sensor in Autonomous Driving，2022 International Symposium on Sensor Technology and Control, Journal of Physics: Conference Series. Vol. 2302. No. 1. IOP Publishing, 2022，Shijiazhuang, China，May 27-May 29,2022.
13. Ziqi Zhao，Bin Yang， Hongfeng Shu，Qi Liu，and Lei Peng，Sensing Intrusion Detection for Automatic Driving System based on Scene Semantic Centroid，the 25th IEEE International Conference on Intelligence Transportation Systems，Beijing China，Sep 18-Oct 12，2022
14. Chang Liu, *Bin Yang, Xiaozhi Zhang, Lihui Pang, IBPNet: a multi-resolution and multi-modal image fusion network via iterative back-projection, Applied Intelligence, 52(14): 16185–16201, 21 March 2022. (SCI EI收录)
15. Chang Liu, Bin Yang, Yuehua Li, Xiaozhi Zhang, and Lihui Pang, An Information Retention and Feature Transmission Network for Infrared and Visible Image Fusion, IEEE Sensors Journal, Vol. 21, No. 13, pp: 14950-14959, July 1, 2021.
16. Eryan Wang, Bin Yang, and Lihui Pang, Superpixel‑based Structural Similarity Metric for Image Fusion Quality Evaluation, Sensing and Imaging, Vol. 22, No. 1, pp:1-25, March 19, 2021.
17. Ni Liu, Bin Yang, Infrared and Visible Image Fusion Based on TRPCA and Visual Saliency Detection, in the Proceedings of 6th International Conference on Image, Vision and Computing, pp. 13-19, Qingdao China, July 23-25, 2021.
18. Chang Liu and Bin Yang, A Multi-resolution Medical Image Fusion Network with Iterative Back-Projection, in the Proceedings Part Ⅲ of 4th Chinese Conference on Pattern Recognition and Computer Vision, Part III, pp. 41-52, Beijing China, Oct 29- Nov 1, 2021.
19. Yueqi Tan and Bin Yang, Multi-focus Image Fusion with Cooperative Image Multiscale Decomposition, in the Proceedings Part Ⅲ of 4th Chinese Conference on Pattern Recognition and Computer Vision, Part III, pp. 177-188, Beijing China, Oct 29- Nov 1, 2021.
20. Bin Yang, Yuhan Sun, Yuehua Li, Image Fusion with Structural Saliency Measure and Content Adaptive Consistency Verification, Journal of Electronic Imaging, JAN 2020, 29(1): 013014 (1-17).
21. Qiang Chen; Bin Yang; Yuehua Li; Lihui Pang, Multi-Focus Image Fusion with Point Detection Filter and Superpixel-Based Consistency Verification, IEEE Access, Volume: 8, Issue:1, 99956-99973, 25 May 2020.
22. Bin Yang, Dongsheng Wang, An Efficient Adaptive Interpolation for Bayer CFA Demosaicking, Sensing and Imaging, 2019, 20: 37(1-17).
23. 杨斌，王翔，基于深度残差去噪网络的遥感融合图像质量提升, 激光与光电子学进展，2019, 56(16): 161009(1-10)
24. Yuhan Sun and Bin Yang, Infrared and Visible Images Fusion with Multi-Visual Cues, Sensing and Imaging, 2018, vol 19, no.1.
25. 钟菲，杨斌，基于主成分分析网络的车牌检测方法，计算机科学[J]. 2018, 45(3), 295-300.
26. 钟菲, 杨斌, 一种新型的基于深度学习的单幅图像去雨方法, 计算机科学[J]. 2018, 45(11): 283-287
27. Xiang Wang and Bin Yang, Boosting the Quality of Pansharpened Image by Adjusted Anchored Neighborhood Regression, in the Proceedings Part I of First Chinese Conference on Pattern Recognition and Computer Vision, Nov 2018, Guangzhou China, pp. 286-295.
28. Bin Yang, Jinying Zhong, Yuehua Li and Zhongze Chen, Multi-focus Image Fusion and Super-resolution with Convolutional Neural Network, International Journal of Wavelets, Multiresolution and Information Processing, 2017，15(4): 1750037 (15pages)
29. Jinying Zhong, Bin Yang*, Guoyu Huang, Fei Zhong, and Zhongze Chen. Remote sensing image fusion with convolutional neural network, Sensing and Imaging, 2016, 17(1)1-16.
30. Bin Yang, Chao Yang, Guoyu Huang, Efficient image fusion with approximate sparse representation, International Journal of Wavelets, Multiresolution and Information Processing, (2016) , Vol. 14, No. 4, pp. 1650024 (15 pages).
31. Bin Yang, Jie Luo, Ling Guo, Fang Cheng, Simultaneous image fusion and demosaicing via compressive sensing, Information Processing Letters，Volume 116, Issue 7, July 2016, Pages 447–454.
32. 杨超，杨斌，*黄国玉，基于多光谱图像超分辨率处理的遥感图像融合，激光与光电子学进展，2016年第53卷第2期 pp.021001.
33. 杨斌，钟金英，卷积神经网络的研究进展综述，南华大学学报，Sep. 2016，第30卷第3期 pp.66-72.
34. Jinying Zhong, Bin Yang*, Yuehua Li, Fei Zhong and Zhongze Chen, Image Fusion and Super-resolution with Convolutional Neural Network, 2016，CCPR Part II, CCIS 663, Pages 78-88.
35. Bin Yang, Ling Guo, Superpixel based fusion and demosaicing for multi-focus Bayer images, Optik - International Journal for Light and Electron Optics, Volume 126, Issue 23, December 2015, Pages 4460-4468.
36. Bin Yang, Jibin Chen, Multi-focus Raw Bayer Pattern Image Fusion for Single-Chip Camera, Sensing and Imaging, January 2015, 16(3).
37. Ling Guo, Bin Yang, Chao Yang, Joint Multi-focus Fusion and Bayer Image Restoration, Scientific Journal of Information Engineering, June 2015, 5(3):67-72.
38. 郭玲，杨斌，基于视觉显著性的红外与可见光图像融合，计算机科学，June 2015, 42 (6A), 211-214.
39. Bin Yang, Shutao Li, Visual attention guided image fusion with sparse representation, Optik-International Journal for Light and Electron Optics, Volume 125, Issue 17, September 2014, Pages 4881-4888.
40. Fang Cheng, Bin Yang, and Zhiwei Huang, Compressive Sensing Multi-focus Image Fusion, Communications in Computer and Information Science, 484, 107-116.
41. Chao Yang, Bin Yang*, Efficient Compressive Multi-focus Image Fusion, Journal of Computer and Communications, 2014, 2(9):78-86.
42. Shutao Li, Xudong Kang, Jianwen Hu, Bin Yang, Image Matting for Fusion of Multi-focus Images in Dynamic Scenes, Information Fusion, 2013, 14(2):147–162.
43. 杨斌,罗颉, 基于压缩传感理论的彩色图像去马赛克, 南华大学学报（自然科学版）, 第27卷, 第2期, 页码: 32-36, 2013年6月.
44. Bin Yang, Shutao Li, Pixel-level Image Fusion with Simultaneous Orthogonal Matching Pursuit, Information Fusion, 2012, 13(1): 10-19.
45. Bin Yang, Luo Jie, and Shutao Li, Color Image Fusion with Extend Joint Sparse Model, in Proceedings of International Conference on Pattern Recognition, November 11-15, 2012, Tsukuba, Japan.
46. Jie Luo, Bin Yang, and Shutao Li, Color Image Restoration Via Extended Joint Sparse Model. in Proceedings of Chinese Conference on Pattern Recognition, September 24-26, 2012, Beijing, China, pp. 497-504.
47. Bin Yang, Shutao Li, Multi-focus Image Fusion using Watershed Transform and Morphological Wavelet Clarity Measure, International Journal of Innovative Computing, Information and Control, 2011, 7(5A):2503-2514.
48. Shutao Li, Bin Yang, A New Pan-sharpening Method using Compressed Sensing Technique, IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(2): 738-746.
49. Shutao Li, Bin Yang, Jianwen Hu, Performance Comparison of Different Multi-resolution Transforms for Image Fusion, Information Fusion, 2011, 12(2): 74-84.
50. Bin Yang, Shutao Li, Multi-focus Image Fusion and Restoration with Sparse Representation, IEEE Transactions on Instrumentation and Measurement, 2010, 59(4): 884-892.
51. Shutao Li, Bin Yang, Hybrid Multiresolution Method for Multisensor Multimodal Image Fusion, IEEE Sensor Journal, 2010, 10 (9): 1519-1526.
52. Bin Yang, Shutao Li, Texture Classification with Combined Multiresolution Features, Machine Graphics & Vision, 2009, 18(3): 305-319.
53. Shutao Li, Bin Yang, Region based Multi-Focus Image Fusion, in Tania Stathaki, "Image Fusion: Algorithms and Applications", Elsevier, 2008, 343-365.
54. Shutao Li, Bin Yang, Multifocus Image Fusion using Region Segmentation and Spatial Frequency, Image and Vision Computing, 2008, 26(7):971-979.
55. Shutao Li, Bin Yang, Multifocus Image Fusion by Combining Curvelet and Wavelet Transform, Pattern Recognition Letters, 2008, 29(9): 1295-1301.
56. Bin Yang, Shutao Li, Multi-Focus Image Fusion Based on Spatial Frequency and Morphological Operators, Chinese Optics Letters, 2007, 5(8): 452-453.
57. Junli Tao, Shutao Li，Bin Yang，Multimodal Image Fusion Algorithm Using Dual-Tree Complex Wavelet Transform and Particle Swarm Optimization, in Proceedings of the Sixth International Conference on Intelligent Computing, August 18-21, 2010, Changsha, China, pp. 296-303.
58. 胡建文, 李树涛, 杨斌, 基于IHS变换和稀疏表示的遥感图像融合, Proceedings of the Chinese Conference on Pattern Recognition, 21-23 October 2010, Chongqing, China, pp. 494-497.
59. Bin Yang, Fengmei Sun, Shutao Li, Region-Based Color Fusion Method for Visible and IR Image Sequences, in Proceedings of the Chinese Conference on Pattern Recognition, October 22-24, 2008, Beijing, China, pp. 132-137.
60. Shutao Li, Xinmin Fu, Bin Yang, Nonsubsampled Contourlet Transform for Texture Classifications using Support Vector Machines, in Proceedings of the IEEE International Conference on Networking, Sensing and Control, April 6-8 2008, Hainan, China, pp.1654-1657.
61. Bin Yang, Shutao Li, Multifocus Image Fusion using Watershed Segmentation and Morphological Wavelet Transform, in Proceedings of the International Colloquium on Information Fusion, August 22-25, 2007, Xi’an, China, pp.317-321.
62. Bin Yang, Shutao Li, Fengmei Sun, Image Fusion Using Nonsubsampled Contourlet Transform, in Proceedings of the Fourth International Conference on Image and Graphics, August 22-24 2007, Chengdu, China, pp.719 – 724.
63. Fengmei Sun, Shutao Li, Bin Yang, A New Color Image Fusion Method for Visible and Infrared Images, in Proceedings of the IEEE International Conference on Robotics and Biomimetics, December 16-18 2007, Sanya, China, pp.2043-2048.
发明专利
1. 抗辐射的视频图像系统及方法, 专利号：ZL201410618197.5，发明人：杨斌，赵立宏，邓骞，郭玲
2. 同步多聚焦Bayer视频图像处理系统及方法，专利号：ZL201510081513.4，发明人：杨斌、赵立宏、邓骞、郭玲
3. 基于混合多分辨率分解的图像融合方法，发明号：ZL 200910042956.7, 发明人：李树涛，杨斌
4. 基于同步正交匹配追踪的多源图像融合方法，发明号：ZL 200910042957.1，发明人：李树涛，杨斌
讲授课程
本科生：《数字图像处理》、《自动控制原理》、《数据结构》等
研究室：《模式识别》、《科研写作》等
所获荣誉
1. 国家自然科学二等奖，多模图像结构化稀疏表示与融合理论方法研究，证书号：2019-Z1-107-2-04-R04（排名第四）
2. 湖南省自然科学一等奖，图像结构化稀疏表示、融合与识别理论方法研究，证书号：20172048-Z1-211-R04，第4完成人
3. 湖南省优秀博士学位论文奖，像素级多传感器图像新方法研究, 2013年6月，证书编号：20131035，第1完成人
4. 湖南省科技进步二等奖，高速公路智能交通检测系统关键技术研究及应用，证书号：20104238-J2-027-R06, 第6完成人。
5. 2020年获得湖南省普通高校教师党支部书记“双带头人”标兵；
6. 2021年获得湖南省教育系统优秀共产党员。
