基本情况

 丁兴号教授,博士生导师,福建省高等学校新世纪优秀人才,现任厦门大学信息与通信工程系主任,福建省智慧城市感知与计算重点实验室副主任。

主要经历

2011.08–至   今,厦门大学信息科学与技术学院,教授

2009.09–2011.03,杜克(DUKE)大学电子与计算机工程系,博士后

2006.08–2011.07,厦门大学信息科学与技术学院,副教授

2006.01–2008.10,厦门大学物理学博士后流动站,博士后

2003.11–2006.07,厦门大学信息科学与技术学院,讲师

1998.09–2003.10,合肥工业大学,仪器科学与光电工程学院,博士

1994.09–1998.09,合肥工业大学, 精密仪器系,学士

获奖经历

丁兴号教授长期从事机器学习、深度学习、计算机视觉、智能数据分析与处理的研究工作。其论文Google引用次数3500余次,h指数28i10指数60,多篇引用次数超过百次,其中1篇论文被信号处理领域顶刊Signal ProcessingJCR1区)评为2020年度最佳论文(每年全球仅1篇)、1篇入选ESI高引论文。

成果获得福建省科技进步奖、吴文俊人工智能自然科学奖等奖各1项。已培养硕士研究生30余名,多人获得国际顶级赛事第一名。博士毕业生2名,1名获得福建省优秀博士论文。

研究方向

图像处理、机器学习、大数据分析与处理等 

论文发表

代表性的学术贡献主要有:

1.率先开展将压缩感知与深度学习等先进信号处理理论相结合以解决数据快速获取、重建与分析任务。

2.率先开展雨天、沙尘和水下等恶劣成像环境下的图像质量提升研究,也是最早取得突破性进展的团队之一,相关研究使得各类计算机视觉系统可以全天候工作。

3.率先将成像与分析相结合开展医学影像的智能计算成像与分析的研究,相关成果在多个医学影像相关国际赛事中获得第一名佳绩。

4.在军民融合领域,开展小样本和零样本机器学习的研究,显著提高相关系统的实战能力。

代表性期刊论文:

1. L. Sun, W. Ma, X. Ding(丁兴号)* , Y. Huang, D. Liang and J. Paisley. A 3D spatially-weighted network for segmentation of brain tissue from MRI, IEEE Transactions on Medical Imaging, 39(4): 898-909, 2020. 

2.X. Fu, B. Liang, Y. Huang, X. Ding(丁兴号)* and J. Paisley. Lightweight pyramid networks for image deraining, IEEE Transactions on Neural Networks and Learning Systems, 31(6): 1794-1807, 2020.

3.L. Sun, Z. Fan, X. Fu, Y. Huang, X. Ding(丁兴号)* and J. Paisley. A deep information sharing network for multi-contrast compressed sensing MRI reconstruction, IEEE Transactions on Image Processing, vol. 28, no. 12, pp. 6141-6153.2019.

4.J. Wang, H. Zheng, Y. Huang*, X. Ding(丁兴号)*. Vehicle type recognition in surveillance images from labeled web-nature data using deep transfer learning. IEEE Trans. Intelligent Transportation Systems, 2018, 19(9): 2913-2922

5.X. Fu, J. Huang, X. Ding(丁兴号)* , Y. Liao,  and J. Paisley. Clearing the Skies: A deep network architecture for single-image rain removal, IEEE Transactions on Image Processing26(6): 2944 - 2956, 2017.

6.X. Fu, D. Zeng, Y. Huang, Y. Liao, X. Ding(丁兴号)* and J. Paisley. A Fusion-based Enhancing Method for Weakly Illuminated Images, Signal Processing, 129: 82-96, 2016. 

7.X. Fu, Y. Liao, D. Zeng, Y. Huang, X. Zhang and X. Ding(丁兴号)*. A Probabilistic Method for Image Enhancement With Simultaneous Illumination and Reflectance Estimation, IEEE Transactions on Image Processing (TIP), vol. 24, no.12, pp.4965-4977, 2015.

8.Y. Huang, R. Wu, Y. Sun, W. Wang and X. Ding(丁兴号)*. Vehicle logo recognition system based on convolutional neural networks with a pre-training strategy, IEEE Transactions on Intelligent Transportation Systems , vol. 16, no.4, pp. 1951 - 1960, 2015.

9.Y. Huang, J. Paisley, Q. Lin, X. Ding(丁兴号)* , X. Fu, and X. Zhang. Bayesian Nonparametric Dictionary Learning for Compressed Sensing MRI, IEEE Trans. Image Processing, 23(12): 5007-5119, 2014.

10X. Ding(丁兴号)*, Lihan He and Lawrence Carin. Bayesian Robust Principal Component Analysis, IEEE Trans. Image Processing TIP), 20(12): 3419-3430, 2011. 

代表性会议论文:

1.C. Chen, Z. Zheng, X. Ding(丁兴号), Y. Huang*, Q. Dou. Harmonizing Transferability and Discriminability for Adapting Object Detectors. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.CVPRCCF A

2.X. Fu, Z. Zha*, F. Wu, X. Ding(丁兴号) and J. Paisley. JPEG artifacts reduction via deep convolutional sparse coding, IEEE International Conference on Computer Vision, 2019. ICCV, CCF A

3.W. Wang, W. Zeng, Y. Huang, X. Ding(丁兴号)* and J. Paisley. Deep blind hyperspectral image fusion,  IEEE International Conference on Computer Vision, 2019. ICCV, CCF A

4.C. Zhang, B. LiangZ. Huang M. En J. Han E. Ding X. Ding(丁兴号)*. Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes. IEEE Conference on Computer Vision and Pattern Recognition, 2019. CVPR, CCF A

5.X. Fu, Z. LinY. HuangX. Ding(丁兴号)*. A Variational Pan-Sharpening with Local Gradient ConstraintsIEEE Conference on Computer Vision and Pattern Recognition, 2019. CVPR, CCF A

6.C. Chen,W. XieY. Huang*X. Ding(丁兴号).  Progressive Feature Alignment for Unsupervised Domain AdaptationIEEE Conference on Computer Vision and Pattern Recognition, 2019. CVPR, CCF A

7.Z. Fan, H. Wu, X. Fu, Y. Huang, X. Ding(丁兴号)*. Residual-Guide Network for Single Image Deraining, ACM Multimedia, 2018 (ACM MMCCF A )

8.L. Sun, Z. Fan, Y. Huang, X. Ding(丁兴号)* and J. Paisley. Compressed sensing MRI using a recursive dilated network, AAAI Conference on Artificial Intelligence, 2018.(AAAI, CCF A)

9.Z. Fan, L. Sun, X. Ding(丁兴号)*, Y. Huang, C. Cai and J. Paisley. A segmentation-aware deep fusion network for compressed sensing MRI, European Conference on Computer Vision, 2018.(ECCV, CCF B)

10.S. Cai, J. Huang, D. Zeng*, X. Ding(丁兴号) and J. Paisley. MEnet: A metric expression network for salient object segmentation, International Joint Conference on Artificial Intelligence, 2018. (IJCAI, CCF A)

11.J. Yang, X. Fu, Y. Hu, Y. Huang, X. Ding(丁兴号)*, John Paisley. PanNet: A deep network architecture for pan-sharpening , IEEE International Conference on Computer Vision, 2017. (ICCV, CCF A).

12.X. Fu, J. Huang, D. Zeng, Y. Huang, X. Ding(丁兴号)* and J. Paisley. Removing rain from single images via a deep detail network,IEEE Conference on Computer Vision and Pattern Recognition , 2017. CVPR,CCF A.

13.X. Fu, D. Zeng, Y. Huang, X. Zhang and X. Ding(丁兴号)*. A weighted variational model for simultaneous reflectance and illumination estimation, IEEE Conference on Computer Vision and Pattern Recognition, 2016CVPR, CCF A.

14.Y. Jiang, X. Ding(丁兴号)*, D. Zeng, Y. Huang and John Paisley.Pan-sharpening with a Hyper-Laplacian Penalty, IEEE International Conference on Computer Vision,2015. (ICCV,CCF A).