姓名：曾焕强
职称：教授
E-mail：zeng0043@hqu.edu.cn

简介
新加坡南洋理工大学博士，香港中文大学博士后，2014年起担任华侨大学教授。
长期从事多媒体通信与人工智能领域的教学科研及应用工作，担任国际知名期刊 IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology和IET Electronics Letters 的编委，Journal of Visual Communications and Image Representation等 3个国际知名期刊的客座编辑。担任国际知名学术会议IEEE ISPACS2017大会主席、APSIPA-ASC2017技术委员会主席、ICMEW2020 PC-PACC研讨会主席、IEEE VCIP2020/2015领域主席和ACM MM/ICIP/ISCAS等技术委员会委员等。担任IEEE高级会员、中国电子学会高级会员、中国图象图形学会青年工作委员会委员、中国计算机学会多媒体技术专委会委员、中国图象图形学会交通视频专委会委员等。
近年来先后主持国家自然科学基金(面上、青年)、福建省自然科学基金、厦门市科技重大计划等19项国家省部厅及企业课题。在本领域国内外知名期刊和会议上发表学术论文110多篇。获得授权发明专利17项和计算机软件著作权4项。获得全国信号处理学术会议、国际学术会议ITFC2018 Best Poster Award等多项国内外优秀论文奖。指导研究生获得中国电子学会优秀硕士学位论文奖、福建省优秀学术硕士学位论文奖，获得华侨大学研究生导师标兵、华侨大学优秀本科班主任。入选福建省自然科学基金****资助计划。获得福建省科技进步奖二等奖、厦门市科技进步奖一等奖、中国商业联合会科学技术奖二等奖。

研究领域
图像处理、视频编码、机器学习、模式识别、计算机视觉

讲授课程
本科课程：数据结构、数字视频处理、专业英语
研究生课程：机器视觉

部分主持项目
国家自然科学基金面上项目 (**)
国家自然科学基金青年项目 (**)
福建省****基金 (2019J06017)
福建省自然科学基金面上项目 (2016J01308)
厦门市科技重大计划项目(3502ZCQ**)
泉州市高层次人才创新创业项目 (2017G027)
华侨大学优秀青年科技创新人才资助计划 (ZQN-YX403)

期刊编委
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
IET Electronic Letters

部分论著
· S. Cheng, H. Q. Zeng*, J. Chen, J. H. Hou, J. Q. Zhu, and K.-K. Ma, “A Subjective and Objective Study of Screen Content Video Quality Assessment,” IEEE Transactions on Image Processing, 2020.
· Y. Tian, H. Q. Zeng*, J. H. Hou, J. Chen, and K.-K. Ma, “Light Field Image Quality Assessment via the Light Field Coherence,” IEEE Transactions on Image Processing, 2020.
· J. Jin, J. H. Hou, J. Chen, H. Q. Zeng, S. Kwong, and J. Y. Yu, “Deep Coarse-to-fine Dense Light Field Reconstruction with Flexible Sampling and Geometry-aware Fusion,” IEEE Transactions on Pattern Recognition and Machine Intelligence, 2020.
· L. Cai, H. Q. Zeng*, J. Q. Zhu, J. W. Cao, Y. T. Wang, and K.-K. Ma, “Cascading Scene and Viewpoint Feature Learning for Pedestrian Gender Recognition,” IEEE Internet of Things, 2020.
· J. W. Cao, H. Z. Dai, B. Y. Lei, C. Yin, H. Q. Zeng, and K. Anton, “Maximum Correntropy Criterion-Based Hierarchical One-Class Classification,” IEEE Transactions on Neural Networks and Learning Systems, 2020.
· J. Q. Zhu, L. Liu, X. B. Zhu, and H. Q. Zeng*, “A Spatial Structural Similarity Triplet Loss for Auxiliary Vehicle Re-identification,” Science China Information Sciences, 2020.
· X. W. Lin, H. Q. Zeng*, J. H. Hou, J. W. Cao, J. Q. Zhu, and J. Chen, “Joint Pyramid Feature Representation Network for Vehicle Re-identification,” Mobile Networks & Applications, 2020.
· Y. Tian, H. Q. Zeng*, J. H. Hou, J. Chen, J. Q. Zhu, and K.-K. Ma, “A Light Field Image Quality Assessment Model Based on Symmetry and Depth Features,” IEEE Transactions on Circuits and Systems for Video Technology, 2020.
· J. Q. Zhu, J. C. Huang, H. Q. Zeng, X. Q. Ye, B. Q. Li, Z. Lei, and L. X. Zheng, “Object Reidentification Via Joint Quadruple Decorrelation Directional Deep Networks in Smart Transportation,” IEEE Internet of Things Journal, 2020.
· J. Q. Zhu, H. Q. Zeng*, J. C. Huang, X. B. Zhu, Z. Lei, C. H. Cai, and L. X. Zheng, “Body Symmetry and Part-Locality-Guided Direct Nonparametric Deep Feature Enhancement for Person Re-identification,” IEEE Internet of Things Journal, 2020.
· Z. K. Ni, K.-K. Ma, H. Q. Zeng, and B. J. Zhong, “Color Image Demosaicing Using Progressive Collaborative Representation,” IEEE Transactions on Image Processing, 2020.
· S. Gu, J. H. Hou, H. Q. Zeng, and H. Yuan, “3D Point Cloud Attribute Compression via Graph Prediction,” IEEE Signal Processing Letters, 2020.
· Q. Qiu, Z. X. Qian, H. Q. Zeng, X. D. Lin, and X. P. Zhang, “Reversible Data Hiding in Encrypted Images Using Adaptive Reversible Integer Transformation,” Signal Processing, 2020.
· J. Q. Zhu, H. Q. Zeng*, J. C. Huang, S. C. Liao, Z. Lei, C. H. Cai, and L. X. Zheng, “Vehicle Re-identification Using Quadruple Directional Deep Learning Features,” IEEE Transactions on Intelligent Transportation Systems, 2020.
· S. Gu, J. H. Hou, H. Q. Zeng*, Y. Yuan, and K.-K. Ma, “3D Point Cloud Attribute Compression Using Geometry-Guided Sparse Representation,” IEEE Transactions on Image Processing, 2020.
· J. H. Hou, H. Q. Zeng*, J. Q. Zhu, J. H. Hou, J. Chen, and, K.-K. Ma, “Deep Quadruplet Appearance Learning for Vehicle Re-identification,” IEEE Transactions on Vehicle Technology, 2019.
· Z. P. Zeng, H. Q. Zeng*, J. Chen, J. Q. Zhu, Y. Zhang, and K.-K. Ma, “Visual Attention Guided Pixel-Wise Just Noticeable Difference Model,” IEEE Access, 2019.
· H. Q. Zeng, W. J. Xiang, J. Chen, C. H. Cai, Z. K. Ni, and K.-K. Ma, “Unimodal Model-Based Inter Mode Decision for High Efficiency Video Coding,” IEEE Access, 2019.
· J. H. Hou, H. Q. Zeng*, L. Cai, J. Q. Zhu, J. Chen, and K.-K. Ma, “Multi-label Learning with Multi-label Smoothing,” Neurocomputing, 2019.
· Z. K. Ni, H. Q. Zeng*, L. Ma, J. H. Hou, J. Chen, and K.-K. Ma, “A Gabor Feature-based Quality Assessment Model for the Screen Content Images,” IEEE Transactions on Image Processing, 2018.
· Y. Fu, H. Q. Zeng*, J. Q. Zhu, L. Ma, Z. K. Ni, and K.-K. Ma, “Screen Content Image Quality Assessment Using Multi-Scale Difference of Gaussian,” IEEE Transactions on Circuits and Systems for Video Technology, 2018.
· J. Q. Zhu, H. Q. Zeng*, Y. Z. Du, Z. Lei, L. X. Zheng, and C. H. Cai, “Joint Feature and Similarity Deep Learning for Vehicle Re-identification,” IEEE Access, 2018.
· L. Cai, J. Q. Zhu, H. Q. Zeng*, J. Chen, C. H. Cai, and K.-K. Ma, “HOG-Assisted Deep Feature Learning for Pedestrian Gender Recognition,” Journal of The Franklin Institute, 2018.
· L. Xing, H. Q. Zeng*, J. Chen, J. Q. Zhu, and J. H. Hou, “A Multi-scale Contrast-based Image Quality Assessment Model for Multi-Exposure Image Fusion,” Signal Processing, 2018.
· J. Q. Zhu, H. Q. Zeng*, S. C. Liao, Z. Lei, C. H. Cai, and L. X. Zheng, “Deep Hybrid Similarity Learning for Person Re-identification,” IEEE Transactions on Circuits and Systems for Video Technology, 2018.
· Z. K. Ni, L. Ma, H. Q. Zeng*, J. Chen, C. H. Cai, and K.-K. Ma, “ESIM: Edge Similarity for Screen Content Image Quality Assessment” IEEE Transactions on Image Processing, 2017.
· H. Q. Zeng, J. Chen, X. L. Cui, C. H. Cai, and K.-K. Ma, “Quad Binary Pattern and Its Application in Mean-Shift Tracking,” NeuroComputing, 2016.
· H. Q. Zeng, X. L. Wang, C. H. Cai, J. Chen, and Y. Zhang, “Fast Multiview Video Coding Using Adaptive Prediction Structure and Hierarchical Mode Decision,” IEEE Transactions on Circuits and Systems for Video Technology, 2014.
· H. Q. Zeng, K.-K. Ma, and C. H. Cai, “Fast Mode Decision for Multi-view Video Coding Using Mode Correlation,” IEEE Transactions on Circuits and Systems for Video Technology, 2011.
· H. Q. Zeng, K.-K. Ma, and C. H. Cai, “Hierarchical Intra Mode Decision for H.264/AVC,” IEEE Transactions on Circuits and Systems for Video Technology, 2010.
· H. Q. Zeng, C. H. Cai, and K.-K. Ma, “Fast Mode Decision for H.264/AVC Based on Macroblock Motion Activity,” IEEE Transactions on Circuits and Systems for Video Technology, 2009.


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