个人简介
Prof. Delu Zeng received his bachelor degree in the Department of Applied Mathematics in South China University of Technology (SCUT) in June 2003. Then he went on studying as a postgraduate in this department majoring in Partial Differential Equations (PDEs). In June 2005, he was promoted to be a doctoral candidate majoring in Signal and Information Processing in SCUT and got the Ph.D.in December 2009. From Feb. 2010, he went on to be a postdoctoral fellow in in SCUT to further pursue his research on machine learning, image processing and pattern recognition. He was promoted to be an associate research fellow in Sept. 2011. Then he went to be an associate professor in the school of Information Science and Engineering in Xiamen University (XMU) from April 2013 to June 2016. At present, he is a full professor with the School of Mathematics in South China University of Technology (SCUT) in Guangzhou, while holding a visiting professor in XMU; He is a visiting research fellow in Columbia University (2017.07-09; 2018.11-2019.11), and was a visiting professor in University of Oulu (2018.08-2018.09).
曾德炉，博士，2003年华南理工大学数学与应用数学专业(本科)毕业；2003年至2005年于华南理工大学应用数学系供读硕士研究生；于2009年华南理工大学信号与信息处理专业博士毕业。2011年9月于华南理工大学获评副研究员(副高级职称); 调任厦门大学信号与信息处理专业副教授(2013.04-2016.06)，2016年7月开始供职于华南理工大学数学学院 (信息与计算科学系)，历任副教授、教授。期间作为访问学者在哥伦比亚大学，滑铁卢大学，奥卢大学等多所境外高校进行过长期学术访问，与国内外同行合作紧密。
应用领域： 多媒体信息处理，一般大数据，经济金融信息，卫星图像，物联网，软定义网络，生物医学信息学，人工智能，机器人等一般领域的数学建模。
硕/博招生方向：
硕士招收方向：多媒体信息处理，图像/语音/文本处理，一般大数据，经济金融信息，人工智能等一般领域的数学建模；
博士招收方向：计算智能与机器学习，函数逼近，图像/语音/文本处理，大数据分析。
教授课程(Teaching)：Complex Functions（复变函数）；Calculus （微积分）； Mathematical and Physical Differential Equations（数学物理方程）； Elementary Programming(计算机软件设计基础)；Optimization Methods and Applications（最优化理论与工程应用）；Image Processing （图像处理）；Machine Learning（机器学习）；Information Theory and Coding（信息论与编码）；Statistical Learning（统计学习）；...
受邀报告（Invited talks）：
1). Title: Inverse problems and its applications to Data Processing,invited by School of Electronic and Computer Engineering,Peiking University,2016/04/06.
2). Title: Saliency Detection based on a Method of Background based Space Distribution;invited by School of Electronic and Computer Engineering,Huaqiao University,2017/23/04.
3). Title: Metric construction based salient object distinctness description, invited by School of Computer science and Educational Software Engineering,Guangzhou University,2017/06/04.
4). Title: Certain Mathematical Modeling Techniques in Image Processing,invited by Biostatistics and Computational Biology, University of Rochester,2017/31/07.
5). Title: Some steps in Inverse Problem Modeling to Image Processing: Continuous and Discrete Settings, (in CMVS of ) University of Oulu ,10 Sept. 2018.
硕士和博士研究生(Postgraduates and Ph.Ds)：赵彤（厦大，2013-2016年，就业单位：华为）；吴佳雯（厦大，2014-2017年，留校于厦大）；胡宇雯（厦大，2014-2017年，就业单位：华为）；朱攀（厦大，2014-2017年，就业单位：华为）；黄佳斌（厦大，2015-2018年, 就业单位：今日头条）；蔡淑莲（厦大，2015-2018年，就业单位：厦门建行）; 唐周（华工，2016级）；贺鑫（华工，2017级）；常莉君（华工，2016级硕士，2017级博士）; 郑铮（华工，2019级博士【李老师】）；徐箭（华工，2020级博士）；廖敏瑜（华工，2018级）；陈致宏（华工，2018级）；林晨（华工，2019级）；赖瑞丽（华工，2020级）；吁孟非（华工，2020级）；赵威（华工，2020 Research Assistant）。
合作者(Collaborators)：XMU(厦大合作联盟); HUST(华科合作联盟); Prof. John Paisley（哥伦比亚大学，Columbia University）; Prof. Zhou Wang（滑铁卢大学，University of Waterloo）; Prof. Xing Qiu（罗切斯特大学，University of Rochester）；Dr. Bo Wu（哥伦比亚大学，Columbia University）。
科研成果
曾在相关领域发表论文40余篇，包括IEEE等著名会刊，如IEEE Trans. Neural Networks, IEEE Trans. Image Processing, IEEE Geoscience and Remote Sensing Letters, IEEE Signal Processing Letters ，及ICCV，CVPR等视频处理模式识别顶级会议，并参与多个国际期刊审稿，包括IEEE TIP，IEEE ITS, IEEE TNNLS，IEEE SMCb。
主持国家自然科学基金3项，及其它省部级项目多项，包括国家自然科学基金面上项目及青年项目，中国博士后基金项目；参与国家及省部级项目多项等；主持横向项目多项。
学术义务工作：ACM会员，CCF会员，IEEE会员，CSIAM会员，参与国家自然科学基金项目评审。
A. Recently Granted Projects (Selected)
1). Robust Image Salient Object Perception Prior for Image Segmentation based on PDEs Related Methods，2011.01-2014.12, Granted by NSFC.
2). Several Key Issues on Variational Object Contour Extraction Model, 2016.01-2019.12, Granted by NSFC.
中文名称：
1）国家自然科学基金面上项目，基于PDE的鲁棒视觉显著性目标感知先验的图像分割 (61571005)，数学与信息交叉领域，2016.01-2019.12，主持；
2）国家自然科学基金，目标分割中的视觉显著先验的同质性描述（61811530271），在研，主持；
3）国家自然科学基金青年项目，目标检测与提取变分模型的关键问题研究(61103121)，2012.01-2014.12，主持；
4）中央高校基本科研业务费，基于统计先验和变分框架下的图像去雾霾方法研究，2018.09-2020.08, 主持；
5）广州市科技计划一般项目，图像去雨雾问题的大数据与深度架构逆问题建模， 2018/04-2021/03，主持
6）中国博士后基金，变分法图像分割有效实现的几个关键问题研究（20100470923），2010/02-2012/02，主持；
7）厦门大学校长基金，结合贝叶斯框架的偏微分方程图像目标分割鲁棒性方法 (20720150093)，2015.01-2016.12，主持；
注：部分主持的其他省部级，横向项目，及参与项目未列出。
近期论文
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[27]. Shulian Cai, Jiabin Huang, Jing Chen, Yue Huang, Xinghao Ding,Delu Zeng*.Prominent edge detection with deep metric expression and multi-scale features, Multimedia Tools and Applications, 2018.01 (On line) [PDF]
[26]. Shulian Cai, Jiabin Huang,Delu Zeng*, Ding Xinghao, John Paisley. MEnet: A Metric Expression Network for Salient Object Segmentation, . International Joint Conference of Artificial Intelligence (IJCAI), 2018. Stockholm, Sweden. [PDF] [Code&Ref.]
[25]. WU Jiawen,LIU Qinting,Delu Zeng, Ding Xinghao, Li Lin.Speech Enhancement Based on Nonparametric Bayesian Method[J], Journal of Xiamen University(Natural Science), 2017,56(03):423-428. [PDF]
[24]. Yun Zhang, Juilee Thakara,David J. Topham, Ann R. Falsey,Delu Zengand Xing Qiu*.Certain equivalence relationships of regularized regressions, Mathematics for Applications, vol. , pp. p1-p2, Nov. 23, 2017 (Accepted). [PDF]
[23]. Xin He,Delu Zeng*.Real-time Pedestrian Warning System on Highway using Deep Learning Methods , ISPACS 2017 - 2017 International Symposium on Intelligent Signal Processing and Communication Systems, vol. , pp. p1-p2, Nov. 6-9, 2017 (Accepted, EI). [PDF]
[22]. Shulian Cai, Jiabin Huang, Xinghao Ding andDelu Zeng*.Semantic Edge Detection Based on Deep Metric Learning , ISPACS 2017 - 2017 International Symposium on Intelligent Signal Processing and Communication Systems, vol. , pp. p1-p2, Nov. 6-9, 2017 (Accepted, EI). [PDF]
[21]. Hong Tang,Delu Zeng*, Xin Liu, Jiabin Huang and Yinghao Liao.Resource Allocation and Optimization Based on Queuing Theory and BP Network , ICONIP 2017 - The 24th International Conference On Neural Information Processing, vol. , pp. p1-p2, Nov. 14-18, 2017 (Accepted, EI). [PDF]
[20]. Jinxuan Tao, Jiabin Huang, Long Yu, Zikang Li, Hongsheng Liu, Bo Yuan,Delu Zeng. A new methodology combining microscopy observation with Artificial Neural Networks for the study of starch gelatinization ,Food Hydrocolloids (2017), doi: 10.1016/j.foodhyd. 2017.07.037, vol. 74, 2017-2018， pp. 151-158. (JCR1)[PDF]
[19]. X. Fu, J. Huang,D. Zeng, Y. Huang,X. Ding,J.Paisley.Removing rain from single images via a deep detail network ,IEEE Conference on Vision and Pattern Recognition (CVPR), Honolulu, HI, USA., 2017 . [PDF]
[18]. Lin Li, Jiawen Wu, Xinghao Ding, Qingyang Hong,Delu Zeng* .Speech Enhancement Based on Nonparametric Factor Analysis , ISCSLP 2016 - The 10th International Symposium on Chinese Spoken Language Processing, vol. 21, pp. p1-p2, 2016 (EI). [PDF]
[17]. Xiaobo Shi, Yixue Hao,Delu Zeng*, Lu Wang, M. Shamim Hossain, Sk Md Mizanur Rahman, Abdulhameed Alelaiwi.Cloud-Assisted Mood Fatigue Detection System, Mobile Networks and Applications, vol. 21, No. 5, pp. 744-752, 2016 (SCI, Doi:10.1007/s11036-016-0757-x). [PDF]
[16].Delu Zeng, Yuwen Hu, Yue Huang, Zhiliang Xu, Xinghao Ding.Pan-sharpening with structural consistency and l_1/2 gradient prior, Remote Sensing Letters, vol. 7, No. 12, pp. 1170-1179, 2016 (SCI, JCR3, Doi:10.1080/2150704X.2016.1222098). [PDF][Code]
[15]. Xinghao Ding, Liqin Chen, Yue Huang, Delu Zeng*.Single image rain and snow removal via guided L0 smoothing filter, Multimedia Tools and Applications, vol. 75, No. 5, pp. 2697-2712, 2016 (SCI, Doi: 10.1007/s11042-015-2657-7). [PDF]
[14]. Xueyang Fu, Delu Zeng, Yue Huang, Yinghao Liao, Xinghao Ding* and John Paisley.A Fusion-based Enhancing Method for Weakly Illuminated Images, Signal Processing, vol. 129, pp. 82-96, 2016. [PDF]
[13]. Peixian Zhuang, Xueyang Fu,Yue Huang, Delu Zeng and Xinghao Ding.“A Novel Framework Method for Non-Blind Deconvolution Using Subspace Images Priors”, Signal Processing: Image Communication, vol. 46, pp. 17-28, 2016. (SCI, JCR3)[PDF]
[12]. Xueyang Fu,Delu Zeng, Yue Huang, Xiao-ping Zhang and Xinghao Ding.A weighted variational model for simultaneous reflectance and illumination estimation”, 2016 IEEE Conference on Computer Vision and Pattern Recognition(IEEE CVPR 2016，LAS VEGAs, US), 2016.08.[Abstract/Code]
[11]. Tong Zhao, Lin Li, Xinghao Ding, Yue Huang, andDelu Zeng*.Saliency detection with spaces of background-based distribution”,IEEE Signal Processing Letters, vol. 23, no. 5, pp.683–687, May 2016.[PDF][Abstract/Code]
[10].Yiyong Jiang, Xinghao Ding,Delu Zeng, Yue Huang and John Paisley.Pan-sharpening with a hyper-Laplacian penalty,International Conference on Computer Vision(IEEE ICCV 2015), Santiago, Chile, 2015.[PDF]
[9].Xueyang Fu, J. Wang,Delu Zeng, Yue Huang, Xinghao Ding.Remote Sensing Image Enhancement using Regularized-Histogram Equalization and DCT,IEEE Geoscience and Remote Sensing Letters, 2015,12(11), 2301-2305.[PDF]
[8].Xueyang Fu, Yinghao Liao,Delu Zeng, Yue Huang, Xiao-ping Zhang and Xinghao Ding,A Probabilistic Method for Image Enhancement with Simultaneous Illumination and Reflectance Estimation,IEEE Transactions on Image Processing, 2015,24(12), 4965-4977.[PDF]
[7].Delu Zeng, Zhiheng Zhou, Shengli Xie.Image Segmentation based on the Poincare Map Method,IEEE Transactions on Image Processing, 21(3)：946-957，2012. [PDF]
[6]. Tong Zhao, Jiawen Wu, Lin Li,Delu Zeng*, Zhaoshui He.Semi-supervised shape classification based on low rank constraint active contour, Mechatronics and Control (ICMC), 2014 International Conference on, Jinzhou, 2014, pp. 1069-1073.. [PDF]
[5].Delu Zeng, Zhiheng Zhou, et al.Coarse-to-fine Boundary Location with a SOM-like Method,IEEE Transactions on Neural networks, 21(3)：481-493, 2010.[PDF]
[4].Shengli Xie,Delu Zeng*, Zhiheng Zhou.Arranging and Interpolating Sparse Unorganized Feature Points With Geodesic Circular Arc,IEEE Transactions on Image Processing, 18(3)：582 - 595, March 2009.[PDF]
[3].Weijun Liu, Jianzhong Lin, Congbo Cai,Delu Zengand Xinghao Ding.“Fast magnetic susceptibility reconstruction using L0 norm of gradient”, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (IEEE ICASSP), South Brisbane, QLD, 2015, pp. 907-911.[PDF]
[2].Yue Huang, Xin Chena, Jun Zhang,Delu Zeng, Dandan Zhang, Xinghao Ding.“Single-trial ERPs denoising via collaborative filtering on ERPs images”, Neurocomputing, Volume 174, Part B, 22 January 2016, Pages 858–865.[PDF]
[1].Peixian Zhuang, Yue Huang,Delu Zeng, Xinghao Ding.“Mixed noise removal based on a novel non-parametric Bayesian sparse outlier model”, Neurocomputing, Volume 174, Part B, 22 January 2016, Pages 858–865.[PDF]
[0].Xueyang Fu, Yue Huang,Delu Zeng, Xiao-Ping Zhang and Xinghao Ding.“A fusion-based enhancing approach for single sandstorm image”, IEEE International Workshop on Multimedia Signal Processing (IEEE MMSP), 2014.[PDF][Matlab_code]
[-1].Xueyang Fu, Delu Zeng, Yue Huang, Xinghao Ding and Xiao-Ping Zhang.“A variational framework for single low light image enhancement using bright channel prior”, IEEE Global Conference on Signal and Information Processing (IEEE GlobalSIP), 2013. [PDF][Matlab_code]
[-2].Xueyang Fu, Qin Lin, Wei Guo, Yue Huang, Delu Zeng and Xinghao Ding.“A novel Retinex algorithm based on alternating direction optimization”, Sixth International Symposium on Precision Mechanical Measurements. International Society for Optics and Photonics, 2013. [PDF]
[-3].Delu Zeng, Zhiheng Zhou, Shengli Xie.Vector bundle constraint for particle swarm optimization and its application to active contour modeling,Progress in Natural Science, 17(10)：1220-1225, 2007.[PDF]
[-4].Delu Zeng, Zhiheng Zhou, Shengli Xie.Construction of Compact RBF Network by Refining Coarse Clusters and Widths, Journal of Systems Engineering and Electronics, 20(6)：1309-1315, 2009.[PDF]
[-5].Delu Zeng, Shengli Xie, Zhiheng Zhou.Improved clustering and anisotropic gradient descent algorithm for compact RBF network,13th International Conference on Neural Information Processing（ICONIP 06，HongKong）, Lecture Notes in Computer Sciences, vol.4233, pp. 806-813.[PDF]
[-6].Delu Zeng, Zhiheng Zhou, et al.Fast blocking artifacts reduction algorithm based on contrast enhancement technique,International Conference on Communications, Circuits and Systems Proceedings(ICCSP), vol. I, pp. 497-499, 2006.[PDF]
[-7].Zhiheng Zhou,Delu Zeng, et al.RBF neural network and active circles based algorithm for contours extraction.Progress in Natural Science, 17(6), pp. 681-686, 2007.[PDF]
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