鄭慧誠

鄭慧誠，博士，中山大學數據科學與計算機學院副教授，博士研究生導師。研究成果發表在IEEE TNN、IEEE TCSVT和CVPR、ICIP、ICPR、ACCV等權威或知名學術期刊和會議上。主持國家自然科學基金面上項目及若干省市級科技計畫項目。

基本介紹

• 中文名：鄭慧誠
• 畢業院校：法國里爾一大
• 學位/學歷：博士
• 職業：教師
• 職務：博士研究生導師
• 職稱：副教授
• 任職院校：中山大學數據科學與計算機學院

研究領域

主要研究方向為圖像理解與計算機視覺、人工神經網路、稀疏表示、機器學習及其在動作識別、目標檢測、人臉識別、視頻描述、表情識別等方面的套用。

人物經歷

教育經歷

2004年在法國里爾一大獲得博士學位。

工作經歷

2010.6-至今, 中山大學, 副教授

2007.3-2010.6, 中山大學, 講師

海外經歷

2005.03 － 2006.09：先後在法國、愛爾蘭從事博士後研究，獲歐洲信息學與數學研究聯盟MUSCLE博士後獎學金。

第一階段2005.03 － 2005.11：法國電信研發中心

第二階段2006.01 － 2006.09：都柏林三一學院

2004.05 － 2004.06：美國約翰·霍普金斯大學訪問學者

教授課程

本科：機率論與數理統計、信號與系統、數字圖像處理、計算機視覺、數值方法等

研究生：模式識別

學術成果

科研項目

主持國家自然科學基金面上項目、教育部留學回國人員科研啟動基金項目、教育部高等學校博士學科點專項科研新教師基金項目、廣東高校優秀青年創新人才培育項目和廣州市科技攻關計畫重點項目等，作為高校方負責人參與若干廣東省及廣州市重點及重大科技計畫項目。曾參與歐盟委員會項目MUSCLE NoE（No. FP6-507752）、法國國家科學研究中心項目Math-STIC 2004及由歐盟委員會提供部分資助的項目Internet Action Plan POESIA（IAP 2117/27572）。

代表性論著

期刊論文

[13] Ye Li, Huicheng Zheng, Zhiwei Yan, and Lvran Chen, “Detail preservation and feature refinement for object detection,” Neurocomputing, 2019, early access.

[12] Bo Ke, Huicheng Zheng, Lvran Chen, Zhiwei Yan, and Ye Li, “Multi-object tracking by joint detection and identification learning,” Neural Processing Letters, 2019, early access.

[11]Huicheng Zheng, Zijian Lin, Jiepeng Cen, Zeyu Wu, and Yadan Zhao, “Cross-line pedestrian counting based on spatially-consistent two-stage local crowd density estimation and accumulation,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no. 3, pp. 787-799, Mar. 2019. Dataset: EBP

[10] Chengkun Zhang, Huicheng Zheng, and Jianhuang Lai, “Cross-view action recognition based on hierarchical view-shared dictionary learning,” IEEE Access, vol. 6, no. 1, pp. 16855-16868, Apr. 2018.

[9] Chengkun Zhang, Huicheng Zheng, and Jianhuang Lai, “Dual-codebook learning and hierarchical transfer for cross-view action recognition,” Journal of Electronic Imaging, vol. 27, no. 4, pp. 043044-1 - 043044-20, Jul./Aug. 2018.

[8] Jing Wang, Huicheng Zheng, Jiepeng Cen, and Jinyu Gao, “Cross-view action recognition based on a statistical translation framework,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 26, no. 8, pp. 1461-1475, Aug. 2016.

[7] Yunong Zhang, Bingguo Mu, Huicheng Zheng, “Link between and comparison and combination of Zhang neural network and quasi-Newton BFGS method for time-varying quadratic minimization,” IEEE Transactions on Cybernetics, vol. 43, no. 2, pp. 490-503, 2013.

[6]Huicheng Zheng, Wei Shen, Qionghai Dai, Sanqing Hu, and Zheming Lu, “Learning nonlinear manifolds based on mixtures of localized linear manifolds under a self-organizing framework,” Neurocomputing, vol. 72, no. 13-15, pp. 3318-3330, 2009.

[5]Huicheng Zheng, Christophe Laurent, and Grégoire Lefebvre, “Fast-learning adaptive-subspace self-organizing map: An application to saliency-based invariant image feature construction,” IEEE Transactions on Neural Networks, vol. 19, no. 5, pp. 746-757, 2008.

[4] 鄭慧誠, 沈偉, “一種局部化的線性流形自組織映射,” 自動化學報, vol. 34, no. 10, pp. 1298-1304, 2008.

[3]Huicheng Zheng, Pádraig Cunningham, and Alexey Tsymbal, “Learning multiple linear manifolds with self-organizing networks,” International Journal of Parallel, Emergent and Distributed Systems, vol. 22, no. 6, pp. 417-426, 2007.

[2] Bruno Jedynak, Huicheng Zheng, and Mohamed Daoudi, “Skin detection using pairwise models,” Image and Vision Computing, vol. 23, no. 13, pp. 1122-1130, 2005.

[1]Huicheng Zheng, Mohamed Daoudi, and Bruno Jedynak, “Blocking adult images based on statistical skin detection,” Electronic Letters on Computer Vision and Image Analysis, vol. 4, no. 2, pp. 1–14, 2004.

會議論文

[34] Jiayu Dong, Huicheng Zheng, and Lina Lian, “Low-rank Laplacian-uniform mixed model for robust face recognition,” in Proc. IEEE Conference on Computer Vision and Pattern Recognition, 2019, pp. 11889-11898.

[33] Wei Zhang, Jiepeng Cen, and Huicheng Zheng, “Temporal inception architecture for action recognition with convolutional neural networks,” in Proc. International Conference on Pattern Recognition, 2018, pp. 3216-3221.

[32] Jiayu Dong, Huicheng Zheng, and Lina Lian, “Dynamic facial expression recognition based on convolutional neural networks with dense connections,” in Proc. International Conference on Pattern Recognition, 2018, pp. 3433-3438.

[31] Heran Du, Huicheng Zheng, and Mingjing Yu, “Facial expression recognition based on region-wise attention and geometry difference,” in Proc. Chinese Conference on Pattern Recognition and Computer Vision, 2018, pp. 183-194.

[30] Weixiong He, Huicheng Zheng, and Jianhuang Lai, “Domain attention model for domain generalization in object detection,” in Proc. Chinese Conference on Pattern Recognition and Computer Vision, 2018, pp. 27-39.

[29] Ye Li, Huicheng Zheng, and Lvran Chen, “Multi-flow sub-network and multiple connections for single shot detection,” in Proc. Chinese Conference on Pattern Recognition and Computer Vision, 2018, pp. 168-179.

[28] Yijing Lv, Huicheng Zheng, and Wei Zhang, “Multi-level three-stream convolutional networks for video-based action recognition,” in Proc. Chinese Conference on Pattern Recognition and Computer Vision, 2018, pp. 237-249.

[27] Jiayu Dong, Huicheng Zheng, and Lina Lian, “Activation-based weight significance criterion for pruning deep neural networks,” in Proc. International Conference on Image and Graphics, 2017, pp. 62-73.

[26] Jiajie Chen, Huicheng Zheng, Na He, Ziquan Luo, and Rui Zhu, “Object detection by learning oriented gradients,” in Proc. International Conference on Image and Graphics, 2017, pp. 86-96.

[25] Lvran Chen, Huicheng Zheng, Zijian Lin, Dajun Lin, and Bo Ke, “Adaptive patch quantization for histogram-based visual tracking,” in Proc. International Conference on Image and Graphics, 2017, pp. 38-50.

[24] Lina Lian, Huicheng Zheng, and Jiayu Dong, “Robust face recognition based on iterative sparse coding and pixel selection,” in Proc. IEEE International Conference on Image Processing, 2017, pp. 1782-1786.

[23] Zijian Lin, Huicheng Zheng, Bo Ke, and Lvran Chen, “Online multi-object tracking based on hierarchical association and sparse representation,” in Proc. IEEE International Conference on Image Processing, 2017, pp. 655-659.

[22] Shuai Yuan, Huicheng Zheng, and Dajun Lin, “Image classification based on discriminative dictionary pair learning,” in Proc. Chinese Conference on Biometric Recognition, 2015, pp. 176-185.

[21] Chengkun Zhang, Huicheng Zheng, and Jianhuang Lai, “Cross-view action recognition via dual-codebook and hierarchical transfer framework,” in Proc. Asian Conference on Computer Vision, 2014, pp. 579-592.

[20] Zhaoyu Lu, Ziqi Luo, Huicheng Zheng, Jikai Chen, and Weihong Li, “A Delaunay-based temporal coding model for micro-expression recognition,” in Proc. ACCV Workshops, 2014, pp. 698-711.

[19] Yuanchang Ou, Huicheng Zheng, Shuyue Chen, and Jiangtao Chen, “Vehicle logo recognition based on a weighted spatial pyramid framework,” in Proc. IEEE International Conference on Intelligent Transportation Systems, 2014, pp. 1238-1244.

[18] Dajun Lin, Huicheng Zheng, and Donghong Ma, “Robust visual tracking using local salient coding and PCA subspace modeling,” in Proc. IEEE International Workshop on Information Forensics and Security, 2013, pp. 25-30.

[17] Peipei Zhang, Huicheng Zheng, and Chun Yang, “Robust face recognition based on spatially-weighted sparse coding,” in Proc. Chinese Conference on Biometric Recognition, 2013, pp. 16-25.

[16] Dandan Xu and Huicheng Zheng, “Person re-identification by multi-resolution saliency-weighted color histograms and local structural sparse coding,” in Proc. International Conference on Image and Graphics, 2013, pp. 477-482.

[15] Zeyu Wu, Huicheng Zheng, and Jing Wang, “Pedestrian counting based on crowd density estimation and Lucas-Kanade optical flow,” in Proc. International Conference on Image and Graphics, 2013, pp. 471-476.

[14] Yunong Zhang, Ying Wang, Long Jin, Bingguo Mu, and Huicheng Zheng, “Different ZFs leading to various ZNN models illustrated via online solution of time-varying underdetermined systems of linear equations with robotic application,” in Proc. International Conference on Advances in Neural Networks, 2013, pp. 481-488.

[13] Jing Wang and Huicheng Zheng, “Cross-view action recognition based on statistical machine translation,” in Proc. Chinese Conference on Biometric Recognition, 2012, pp. 260-267.

[12] Jing Wang and Huicheng Zheng, “View-robust action recognition based on temporal self-similarities and dynamic time warping,” in Proc. IEEE International Conference on Computer Science and Automation Engineering, 2012, pp. 498-502.

[11] Huicheng Zheng, “Mixture of subspace learning with adaptive dimensionality: A self-organizing approach,” in Proc. International Conference on Intelligent Systems and Knowledge Engineering, 2011, pp. 665-672.

[10] Yunong Zhang, Bingguo Mu, and Huicheng Zheng, “Discrete-time Zhang neural network and numerical algorithm for time-varying quadratic minimization,” in Proc. IEEE International Conference on Cybernetics and Intelligent Systems, 2011, pp. 346-351.

[9] Shunbin Liu and Huicheng Zheng, “Motion analysis based on spatial-temporal visual attention,” in Proc. International Conference on Computational Intelligence and Security, 2010, pp. 253-257.

[8] Huicheng Zheng, “Invariant feature set generation with the linear manifold self-organizing map,” in Proc. Asian Conference on Computer Vision, 2010, pp. 677-689.

[7] Xiaohui Cai, Huicheng Zheng, and Bo Zhang, “Matching objects between multiple cameras based on wavelet salient features,” in Proc. International Conference on Information Engineering and Computer Science, 2009, pp. 1568-1571.

[6] Huicheng Zheng, Wei Shen, Qionghai Dai, and Sanqing Hu, “Locally linear online mapping for mining low-dimensional data manifolds,” in Proc. Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2008, pp. 830-838.

[5] Huicheng Zheng, Wei Shen, Qionghai Dai, and Sanqing Hu, “Modeling nonlinear manifolds with mixtures of localized principal subspaces under a self-organizing framework,” in Proc. IEEE International Conference on Networking, Sensing and Control, 2008, pp. 654-659.

[4] Grégoire Lefebvre, Huicheng Zheng, and Christophe Laurent, “Objectionable image detection by ASSOM competition,” in Proc. International Conference on Image and Video Retrieval, 2006, pp. 201-210.

[3] Huicheng Zheng, Hongmei Liu, and Mohamed Daoudi, “Blocking objectionable images: Adult images and harmful symbols,” in Proc. IEEE International Conference on Multimedia and Expo, 2004, pp. 1223-1226.

[2] Huicheng Zheng, Mohamed Daoudi, and Bruno Jedynak, “From maximum entropy to belief propagation: An application to skin detection,” in Proc. British Machine Vision Conference, 2004, pp. 1-10.

[1] Bruno Jedynak, Huicheng Zheng, and Mohamed Daoudi, “Maximum entropy models for skin detection,” in Proc. International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, 2003, pp. 180-193.