楊 斌
職稱：教授 研究方向：圖像處理，模式識别，深度學習 聯系電話：0734-8578046 E-mail：yangbin01420@163.com |
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個人簡介
楊斌，男，1980年，博士，教授，IEEE會員，2010年12月畢業與湖南大學電氣信息工程學院，控制科學與工程專業，湖南省青年骨幹教師，湖南省教育系統優秀共産黨員，湖南省普通高校教師黨支部書記“雙帶頭人”标兵，湖南省優秀博士學位論文獲得者，2021年he 2023年美國斯坦福大學發布的全球前2%頂尖科學家榜單，一直從事模式識别、深度學習理論、稀疏表示理論、多尺度幾何分析及圖像處理等方向的研究。獲得國家自然科學二等獎1項（排名第四）、湖南省自然科學一等獎1項（排名第四），湖南省科技進步二等獎（排名第六），主持國家自然科學基金2項、湖南省自然科學基金1項、湖南省教育廳項目2項，湖南省優秀青年項目1項，主持省級教學改革項目1項。發表高水平學術論文60餘篇，其中SCI收錄20餘篇，高被引論文2篇，獲國家發明專利2項。
主要課題
1. 國家自然科學基金面上項目（61871210）：基于卷積神經網絡的圖像融合及質量提升理論研究, 2019.01-2022.12, 63萬，在研，主持
2. 湖南省普通高等學校教學改革研究項目（2017SJG15），新工科背景下電子信息工程專業OBE人才培養模式探索與研究，2017，20180101-20201231,1萬，主持
3. 湖南教育廳優秀青年基金項目（16B225）：基于中高層圖像特征指導的紅外與可見光圖像融合理論研究，2016.09-2019.12，3萬，主持
4. 湖南自然科學基金項目（2016JJ3106）：面向圖像融合的多輸入卷積神經網絡理論及應用研究，2016.01-2018.12，5萬，主持
5. 2003网站太阳集团青年英才支持計劃（聘字2014-004号），圖像壓縮傳感理論及其應用研究，2014.09-2017.08，10萬，主持
6. 國家自然科學基金項目（61102108）：壓縮傳感域圖像融合新方法研究, 2012.01-2014.12, 25萬，已結題，主持
7. 湖南省教育廳級科研項目（11C1101）：基于壓縮傳感理論的多傳感器圖像融合理論研究，2012.01-2013.12，1萬，已結題，主持
8. 2003网站太阳集团校内博士啟動基金（2011XQD29）：面向壓縮感知的多傳感器圖像融合理論研究（2012.01-2014.12, 10萬），主持
9. 湖南省優秀博士學位論文資助項目（YB2013B039）：基于壓縮感知的圖像恢複理論及其在輻射環境下的應用，2013.01-2015.12，3萬，主持
10. 湖南省教育廳重點科研項目（12A115）：基于信息融合的多視覺傳感抗輻射加固技術研究，2012.1-2015.12, 5萬，已結題，參與排名第二
11. 參與國家自然科學基金(60871096)：像素級多傳感器圖像融合關鍵問題研究, 2009.1-2011.12. 35萬，已結題，參與排名第二
主要論文
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收錄) SCI JCR 2區 中科研 3區
2. 吳潮宇, 楊斌. 基于大核重參UNet網絡的遙感影像變化檢測, 計算機工程，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區
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區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收錄) SCI 中科院2區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區
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收錄).
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收錄)
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收錄)
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. 楊斌，王翔，基于深度殘差去噪網絡的遙感融合圖像質量提升, 激光與光電子學進展，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. 鐘菲，楊斌，基于主成分分析網絡的車牌檢測方法，計算機科學[J]. 2018, 45(3), 295-300.
26. 鐘菲, 楊斌, 一種新型的基于深度學習的單幅圖像去雨方法, 計算機科學[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. 楊超，楊斌，*黃國玉，基于多光譜圖像超分辨率處理的遙感圖像融合，激光與光電子學進展，2016年第53卷第2期 pp.021001.
33. 楊斌，鐘金英，卷積神經網絡的研究進展綜述，2003网站太阳集团學報，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，楊斌，基于視覺顯著性的紅外與可見光圖像融合，計算機科學，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. 楊斌,羅颉, 基于壓縮傳感理論的彩色圖像去馬賽克, 2003网站太阳集团學報（自然科學版）, 第27卷, 第2期, 頁碼: 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, 李樹濤, 楊斌, 基于IHS變換和稀疏表示的遙感圖像融合, 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.
發明專利
1. 抗輻射的視頻圖像系統及方法, 專利号：ZL201410618197.5，發明人：楊斌，趙立宏，鄧骞，郭玲
2. 同步多聚焦Bayer視頻圖像處理系統及方法，專利号：ZL201510081513.4，發明人：楊斌、趙立宏、鄧骞、郭玲
3. 基于混合多分辨率分解的圖像融合方法，發明号：ZL 200910042956.7, 發明人：李樹濤，楊斌
4. 基于同步正交匹配追蹤的多源圖像融合方法，發明号：ZL 200910042957.1，發明人：李樹濤，楊斌
講授課程
本科生：《數字圖像處理》、《自動控制原理》、《數據結構》等
研究室：《模式識别》、《科研寫作》等
所獲榮譽
1. 國家自然科學二等獎，多模圖像結構化稀疏表示與融合理論方法研究，證書号：2019-Z1-107-2-04-R04（排名第四）
2. 湖南省自然科學一等獎，圖像結構化稀疏表示、融合與識别理論方法研究，證書号：20172048-Z1-211-R04，第4完成人
3. 湖南省優秀博士學位論文獎，像素級多傳感器圖像新方法研究, 2013年6月，證書編号：20131035，第1完成人
4. 湖南省科技進步二等獎，高速公路智能交通檢測系統關鍵技術研究及應用，證書号：20104238-J2-027-R06, 第6完成人。
5. 2020年獲得湖南省普通高校教師黨支部書記“雙帶頭人”标兵；
6. 2021年獲得湖南省教育系統優秀共産黨員。
