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专任教师

丁兴号

基本信息

丁兴号

福建省百千万人才、福建省新世纪优秀人才、人工智能学院教授；博士生导师

研究方向：机器学习、计算机视觉、智能信息处理、计算成像与智能分析、电力故障

监测个人简介

主讲课程: 

  • 随机信号分析（本科生）

  • 机器学习（研究生课）

  • 数字图像处理（研究生课）

指导研究生: 

  • 2021：孟戈（博士生）、黄飞成（博士生，人工智能研究院）、褚学业、丁海舟、杨刚、郑国庆、周文波

  • 2020：匡振宇（博士生）、徐浩特（博士生，健康医疗大数据）、丁之元、何楚楚、黄乐兴、周观星、庄易鸿、梁浩

学术兼职: 

CCF 机器视觉专委、《数据挖掘》编委

主要研究项目和课题: 

  • 国家基金，基于伪健康图像生成得知识嵌入深度学习病灶分割方法研究， 202201-202512，主持

  • 企业委托项目，异构数据融合的机器学习方法研究，202001-202201，主持

  • 企业委托项目，计算机视觉辅助驾驶算法研究,201904-202204,100万，主持

  • 福建省科技重大专项，智能边缘计算终端与系统的研发，201904-202203，参与

  • 国家自然科学基金委员会，促进海峡两岸科技合作联合基金，视觉增强与感知的关键技术研究，2017-01至2020-12，参与

  • 国家自然科学基金委员会，基于部分K空间数据子空间分解的贝叶斯非参数压缩感知MRI重建方法，2016-01至2019-12，主持

  • 国家自然科学基金，基于非参数层次贝叶斯模型的自适应字典稀疏表示方法及应用，201201-201512，主持。

  • 国家自然科学基金，基于压缩传感理论的高时空分辨率动态磁共振成像关键技术研究，201001-201212，主持。

  • 广东省自然科学基金项目：基于贝叶斯多任务压缩感知理论的多对比度MRI重建方法，2016.1-2018.12， 主持。（备注：依托厦大深圳研究院申请）

  • 企业委托项目，司机行为智能视频分析算法开发，2017.3-2020.3, 主持。

  • 企业委托项目，街景影像中的人脸与车牌隐私保护，2015.6-2016.12，主持。

  • 企业委托项目，遥感图像视觉增强系统，2015.9 -2016.5，主持。

  • 企业委托项目，车联网智能视频传感器算法开发，201511-201604， 主持。

  • 企业委托项目，透雾高清网络视频监控系统，2014.3-2014.12，主持。

  • 企业委托项目，公共安全监控雾天实时清晰化系统,2013.10- 2014.10 ，主持。

项目相关代表性期刊论文: 

  • Huangxing Lin, Weihong Zeng, Yihong Zhuang, Xinghao Ding, Yue Huang and John Paisley. Learning Rate Dropout. In IEEE Transactions on  Neural Networks and Learning Systems, 2022.

  • Wu Wang , Xueyang Fu , Weihong Zeng,  Liyan Sun, Ronghui Zhan, Yue Huang , Xinghao Ding*.  Enhanced Deep Blind Hyperspectral Image Fusion，IEEE Transactions on Neural Networks and Learning Systems ( JCR 1)

  • Xueyang Fu, Menglu Wang, Xiangyong Cao, Xinghao Ding, Zheng-Jun Zha. A Model-Driven Deep Unfolding Method for JPEG Artifacts Removal, IEEE Transactions on Neural Networks and Learning Systems ( JCR 1)

  • X. Fu, Q. Qi, Z. Zha*, X. Ding(丁兴号), F. Wu and J. Paisley. Successive Graph Convolutional Network for Image De-raining, International Journal of Computer Vision, 2021: 1-21. ( IJCV, CCF A)

  • Yunlong Zhang, Changxing Jing, Huangxing Lin, Chaoqi Chen, Yue Huang*, Xinghao Ding, Yang Zou, Hard class rectification for domain adaptation, knowledge-based systems , 2021(JCR2 区 ccf c)

  • L. Shi, Z. Liang, Y. Wen, Y. Zhuang, Y. Huang*, X. Ding. One-Shot HRRP Generation for Radar Target Recognition, IEEE Geoscience and Remote Sensing Letters PP(99):1-5, 2021. (JCR 2区)

  • H. Lin, Y. Li, X. Fu, X. Ding(丁兴号)*, Y. Huang, and J. Paisley. Rain O'er Me: synthesizing real rain to derain with data distillation, IEEE Transactions on Image Processing, 29: 7668-7680, 2020. (TIP, CCF A)

  • 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, 2019, 28(12): 6141-6153. (TIP, CCF A)

  • 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 Processing, 2017, 26(6): 2944-2956. (TIP, CCF A ，ESI高引论文)

  • 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, 2015, 24(12): 4965-4977. (TIP, CCF A )

  • 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 Transactions on Image Processing, 2014, 23(12): 5007-5119. (TIP, CCF A )

  • X. Ding(丁兴号)*, Lihan He and Lawrence Carin. Bayesian Robust Principal Component Analysis, IEEE Trans. Image Processing （TIP), 20(12): 3419-3430, 2011. (TIP, CCF A, IF6.79 )

  • 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, 2016, 129: 82-96. ( ESI高被引，被该期刊评为2020年度最佳论文，一般每年仅1篇，具体链接如下） https://www.eurasip.org/index.php?option=com_content&view=article&id=90:signal-processing-award&catid=2&Itemid=1098

  • X. Fu, W. Wang, Y. Huang, X. Ding(丁兴号)*, J. Paisley. Deep multi-scale detail networks for multi-band spectral image sharpening, IEEE Transactions on Neural Networks and Learning Systems,2020. (JCR1区)

  • 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. (TNNLS, JCR 1区，IF11.68)

  • 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. (TMI, JCR 1区，IF7.816）

  • Y. Huang, B. Liang, W. Xie, Y. Liao, Z. Kuang, Y. Zhuang, and X. Ding(丁兴号)*. Dual domain multi-task model for vehicle re-identification, IEEE Transactions on Intelligent Transportation Systems, 10.1109/TITS.2020.3027578. (JCR 1区, CCF B)

  • Y. Huang, Z. Liu, M. Jiang, X. Yu, X. Ding(丁兴号)*. Cost-effective vehicle type recognition in surveillance images with deep active learning and web data, IEEE Transactions on Intelligent Transportation Systems, 21(1): 79-86, 2020. (JCR 1区, CCF B)

  • 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（TITS: JCR2区，IF5.744）

  • 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.（TITS, JCR2区 ）

  • X. Ding(丁兴号), F. He, Z. Lin, Y. Wang, Y. Huang*. Crowd Density Estimation using Fusion of Multi-layer Features, IEEE Transactions on Intelligent Transportation Systems, 10.1109/TITS.2020.2983475. (JCR 1区, CCF B)

  • X. Ding(丁兴号), J. Wang, C. Dong, Y. Huang*. Vehicle type recognition from surveillance data based on deep active learning, IEEE Transactions on Vehicular Technology, 69（3）: 2477-2486, 2020. (JCR 1区)

  • L. Sun, J. Wang, Y. Huang, X. Ding(丁兴号)*, H. Greenspan, and J. Paisley. An adversarial learning approach to medical image synthesis for lesion detection, IEEE Journal of Biomedical and Health Informatics, 8(24): 2303-2314, 2020. (JCR2区)

项目相关代表性会议论文：

  • Zhenqi Fu, Huangxing Lin, Yan Yang, Shu Chai, Liyan Sun, Yue Huang and Xinghao Ding*. Unsupervised Underwater Image Restoration: From a Homology Perspective. In AAAI, 2022.

  • Huangxing Lin, Yihong Zhuang, Yue Huang, Xinghao Ding*, Xiaoqing Liu and Yizhou Yu. Noise2Grad: Extract Image Noise to Denoise. In IJCAI 2021 (CCF A).

  • X. Fu, Q. Qi, Y. Zhu, X. Ding(丁兴号), Z. Zha. Rain streak removal via dual graph convolutional network. AAAI Conference on Artificial Intelligence (AAAI, CCF A), 2021.

  • Yiyi Zhou, Tianhe Ren, Chaoyang Zhu, Xiaoshuai Sun, Jianzhuang Liu, Xinghao Ding, Mingliang Xu, Rongrong Ji. TRAR: Routing the Attention Spans in Transformers for Visual Question Answering. IEEE International Conference on Computer Vision (ICCV2021,CCF A).

  • Chaoqi Chen, Jiongcheng Li, Zebiao Zhen, Yue Huang, Xinghao Ding, Yizhou Yu*. Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection. IEEE International Conference on Computer Vision (ICCV2021,CCF A).

  • C. Chen, Z. Zheng, Y. Huang*, X. Ding(丁兴号), Y. Yu. I^3Net: Implicit instance-invariant network for adapting one-stage object detectors. IEEE Conference on Computer Vision and Pattern Recognition, 2021. (CVPR, CCF A)

  • Yunlong Zhang, Chenxin Li, Xin Lin, Liyan Sun, Yihong Zhuang, Yue Huang*, Xinghao Ding, Xiaoqing Liu, Yizhou Yu, Generator Versus Segmentor: Pseudo-healthy Synthesis, MICCAI 2021

  • Liyan Sun, Hongyu Huang，Xinghao Ding*,Yue Huang, Xiaoqing Liu, Yizhou Yu, Fast Magnetic Resonance Imaging on Regions of Interest: From Sensing to Reconstruction，MICCAI 2021

  • Y. Zhou, R. Ji, X. Sun*, G. Luo, X. Hong, J. Su, X. Ding(丁兴号), and L. Shao. K-armed bandit based multi-modal network srchitecture dearch for visual question answering. ACM Multimedia, 2020. (ACM MM, CCF A)

  • 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.（CVPR，CCF A）

  • 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）

  • 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）

  • C. Zhang， B. Liang，Z. 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）

  • X. Fu， Z. Lin，Y. Huang，X. Ding(丁兴号)*. A Variational Pan-Sharpening with Local Gradient Constraints，IEEE Conference on Computer Vision and Pattern Recognition, 2019. （CVPR, CCF A）

  • C. Chen，W. Xie，Y. Huang*，X. Ding(丁兴号).  Progressive Feature Alignment for Unsupervised Domain Adaptation，IEEE Conference on Computer Vision and Pattern Recognition, 2019. （CVPR, CCF A）

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

  • 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)

  • 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)

  • 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)

  • 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).

  • 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）.

  • 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, 2016（CVPR, CCF A）.

  • 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).