曾德爐

曾德爐，博士，華南理工大學數學學院教授、博士生導師、碩士生導師。

基本介紹

• 中文名：曾德爐
• 畢業院校：華南理工大學
• 學位/學歷：博士
• 職業：教師
• 專業方向：大數據處理與分析，（統計）機器學習
• 任職院校：華南理工大學

人物經歷

2003年華南理工大學數學與套用數學專業(本科)畢業；2003年至2005年於華南理工大學套用數學系供讀碩士研究生；於2009年華南理工大學信號與信息處理專業博士畢業。2011年9月於華南理工大學獲評副研究員(副高級職稱); 調任廈門大學信號與信息處理專業副教授(2013.04-2016.06)，2016年7月開始供職於華南理工大學數學學院 (信息與計算科學系)，歷任副教授、教授。期間作為訪問學者在哥倫比亞大學，奧盧大學等多所境外高校進行過長期學術訪問。

學術兼職

學術會議程式委員會：

1. The 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2017, Hokkaido University, Hokkaido, Japan, July 3rd - July 6th, 2017 (Session Chair of Signal Processing and Networking for Big Data)

2. 2017 IEEE Conference on Standards for Communications & Networking (CSCN’17), Helsinki, Finland, Sep. 11– Sep.14,2017,(Track Chair of Track on Verticals, Services and Applications)

3. IEEE Workshop on Multimedia and Signal Processing (Publication Chair of Local Committee of MMSP2015 in Xiamen);

4. 7th EAI International Conference on Cloud Computing ( General Co-Chair of Organizing Committee Cloudcomp2016 in Guangzhou);

學術研究

研究方向

（1）PDE方法套用計算及函式逼近;

（2）機器學習與計算智慧型;

（3）統計數據分析;

（4）圖像/視頻處理和分析 。

研究興趣

大數據處理與分析，（統計）機器學習，最最佳化理論及套用，偏微分方程套用，人工智慧與感知推理，圖像處理與模式識別等。

套用領域

多媒體信息處理，一般大數據，經濟金融信息，衛星圖像，物聯網，軟定義網路，生物醫學信息學，人工智慧，機器人等一般領域的數學建模。

教育教學

教授課程：複變函數；微積數學物理方程； 計算機軟體設計基礎；最最佳化理論與工程套用；圖像處理；機器學習；資訊理論與編碼；統計學習。

學術成果

會議報告

(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.

綜述

曾在相關領域發表論文30餘篇，包括IEEE等著名會刊，如IEEE Trans. Neural Networks, IEEE Trans. Image Processing, IEEE Geoscience and Remote Sensing Letters, IEEE Signal Processing Letters ，及ICCV，CVPR等視頻處理模式識別頂級會議，並參與多個國際期刊審稿，包括IEEE TIP，IEEE ITS, IEEE TNNLS，IEEE SMCb。

主持國家自然科學基金3項，及其它省部級項目多項，包括國家自然科學基金面上項目及青年項目，中國博士後基金項目；參與國家及省部級項目多項等；主持橫向項目多項。

科研項目

（1）國家自然科學基金面上項目，基於PDE的魯棒視覺顯著性目標感知先驗的圖像分割 (61571005)，數學與信息交叉領域，2016.01-2019.12，主持；

（2）國家自然科學基金，目標分割中的視覺顯著先驗的同質性描述，在研，主持；

（3）國家自然科學基金青年項目，目標檢測與提取變分模型的關鍵問題研究，2012.01-2014.12，主持；

（4）中央高校基本科研業務費，基於統計先驗和變分框架下的圖像去霧霾方法研究，2018.09-2020.08, 主持；

（5）廣州市科技計畫一般項目，圖像去雨霧問題的大數據與深度架構逆問題建模， 2018/04-2021/03，主持

（6）中國博士後基金，變分法圖像分割有效實現的幾個關鍵問題研究，2010/02-2012/02，主持；

（7）廈門大學校長基金，結合貝葉斯框架的偏微分方程圖像目標分割魯棒性方法，2015.01-2016.12，主持；

註：部分主持的其他省部級，橫向項目，及參與項目未列出。

代表論文

[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]