曾焕强 - 华侨大学

个人简介

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，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杰出青年资助计划。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。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 (61871434) 国家自然科学基金青年项目 (61401167) 福建省杰出青年基金 (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(3502ZCQ20191005) 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)

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

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

· 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.

学术兼职

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。