雷海军，博士后，研究生导师。2003年在华中科技大学图像识别与人工智能研究所获得模式识别与智能系统专业博士学位。2003-2005年在清华大学自动化系做博士后。现在深圳大学计算机与软件学院(大数据系统计算技术国家工程实验室、广东省普及型高性能计算机重点实验室)工作，深圳大学计算机科学与技术专业硕士生导师。参加或主持国家自然科学基金、国家863项目、广东省自然基金、广东省科技计划项目、深圳科技计划项目等多个项目。在国内外期刊上发表论文60多篇。授权的国家发明专利5项。2010年被认定为深圳市高层次人才。2011年和2020年2次被评为深圳大学优秀研究生指导教师。2012年评为深圳大学优秀教学奖。2014年作为主要研制人研制的“多路处理器计算机教学实验箱”获得第三届高等学校自制实验教学仪器设备评选一等奖，总成绩全国第一名。2015年被授予首批深圳市计算机科技贡献奖章。2017年获得第二届全国计算机类课程实验教学案例设计竞赛一等奖。2019年获得深圳市计算机科技界“国庆70奖章”。深圳大学计算机与软件学院金牌教师。2022年评为深圳市优秀班主任。

目前主要研究方向: 人工智能、图像处理、高性能计算、大数据和物联网等。

主要科研项目：

[1]    2023-01-2026-12  基于纵向多模信息的深度特征学习用于帕金森病早期智能诊断研究（No：62276172）（负责人：雷海军  国家自然科学基金）
[2]    2019-10-2022-09  基于多时间点深层次特征学习的帕金森病早期诊断与预测方法研究（2020A1515010649）（负责人：雷海军 广东省基础与应用基础研究基金项目）
[3]    2021年1月-2021年12月    高性能计算实验教学人才培养 (负责人：雷海军 2020教育部-龙芯中科技术有限公司产学合作协同育人项目)

[4]    2020-1-2022-12   基于纵向深度特征学习的帕金森病早期诊断与预测关键技术研究（2019KZDZX1015）（负责人：雷海军 广东省普通高校重点领域专项项目）
[5]    2020-04-2023-04   基于纵向深层次特征学习的帕金森病早期诊断与预测方法研究（JCYJ20190808165209410）（负责人： 雷海军 深圳市基础研究专项（自然科学基金））
[6]    2018-7-2020-9   生物基因大数据平台的多媒体虚拟展示关键技术研究（No:4403012018006228）（负责人， 广东瑞昊生物技术有限公司）
[7]    2018-12-2019-12    2018年广东省研究生联合培养研究生示范基地-龙芯中科技术有限公司（负责人， 龙芯中科技术有限公司)
[8]    2018-1-2018-12   多路处理器并行实验平台及实验案例研究(2017-PK-WB-0099）（No：201702025001）（负责人， 2017年教育部-龙芯中科技术有限公司产学合作协同育人项目)
[9]    2017-07--2019-06   基于多模信息的帕金森症的诊断和预测方法研究（No:20170223114637457）（负责人，深圳市知识创新计划基础研究项目）
[10]    2020.01-2020.12  基于纵向深层次特征学习的帕金森病早期诊断与预测方法研究（NTUT-SZU Joint Research Program  2020003）（负责人：雷海军 台北科技大学与深圳大学学术合作专题研究计划）
[11]    2015-7--2016-12   基于物联网的养殖试验测定系统 (负责人，深圳市倍适沃智能设备有限公司)
[12]    2015-11—2016-12       电能表条形码识别算法研究及其嵌入式实现 (负责人，深圳职业技术学院)
[13]    2015-01—2016-12  采用健康管理软件应用系统软件的智能可穿戴设备 （负责人，深圳市英得尔实业有限公司）
[14]    2014-08—2015-08   大数据云计算平台架构关键技术研究 (负责人，深圳市天云聚合网络有限公司)
[15]    2013-10--2014-10   面向3D的多视点视频编码应用技术研究 (负责人，深圳职业技术学院)
[16]    2013-01—2013-12   基于移动互联网的 Android IPNC (负责人，深圳市高斯贝尔家居智能电子有限公司)
[17]    2012-07--2014-07   面向电力营销现场作业的移动数据采集终端（No:2012B091100495）（总负责人，广东省教育部产学研项目）
[18]     2012.11-2014.12  多视点分布式视频编码算法研究（No:JCYJ20120613113419607）（深圳市战略性新兴产业发展专项资金项目）
[19]    2009.11-2011.11 面向互联网的新媒体业务融合平台IPNMS(No:2009B090300267)（联合申报负责人：广东省教育部产学研项目）
[20]    2004.1—2005.12  移动设备AVS视频解码技术的研究（主持，深圳清华大学研究院资助）
[21]    2006.1—2007.12  三维信息获取技术的研究(No.5301033)（主持，广东省自然科学基金项目）
[22]    2007.6-2009.9  基于集群式超级计算机的三维动画渲染平台的研制(No.2006B36430001) (参加,广东省科技计划项目)
[23]    2005.1—2006.12  基于AVS标准的数字音视频解码算法研究及芯片设计（No.05JJ40094）（主要参加，湖南省自然科学基金）
[24]    2006.1—2007.12  基于AVS标准的网络视频可伸缩编码研究(No.5010493)（参加，广东省自然科学基金项目）
[25]    2009-2010 电表数码相机图像中的读数信息识别软件开发（负责人，深圳市友汇通科技有限公司）
[26]    2007.4-2007.12 深超-21Ｃ”集群计算机监测技术研究(No.200736)（主持，深圳大学校科研启动基金项目）
[27]    2005.7—2007.12  并行文件系统PVFS的元数据服务器并行化研究（主要参加，深圳大学校资助课题）
[28]    2006.10-2007.6  MPI集群实验平台的任务调度功能(No.2006039)（主持, 深圳大学实验室研究与资产设备管理基金项目）
[29]    2008.10-2009.6   Linux集群系统CPMS实验监测管理功能（主持, 深圳大学实验室研究与资产设备管理基金项目）
[30]    2003.7—2004.12  基于USB的DMB-T移动数字电视接收系统（主要参加，深圳清华大学研究院资助）
[31]    2002.1-2003.12  基于FPGA实时视频图像采集与处理系统(主持,湖北黄鹤影视公司资助)
[32]    2001.1-2003.12  三维激光彩色扫描系统(主要参加人，该项目是中央电视台、国家自然科学基金资助项目（69775022）；国家863计划资助（863-306-ZT04-06-3）)
[33]    2010．11-2011.12  高性能计算实验室(深财教[2010]93号) （中央财政部支持地方院校）

申请的专利：
[1]    雷海军，一种AVS视频解码验证方法和装置，发明专利,专利号： ZL 2005 1 0032762.0,2008-6
[2]    雷海军等，基于USB 的DMB-T 数字电视接收装置，实用新型专利, 专利号：ZL 2004 2 0102649.6
2006-7-26
[3]    雷海军等，一种基于多模态蛋白质序列的特征提取与编码方法及系统，发明专利（实审），申请号或专利号：201810608670X，2018-11-28
[4]    雷海军等，一种基于深度残差网络的细胞分类方法及系统，发明专利（实审），申请号或专利号：201810300560.7，2018-09-19
[5]    雷海军等，一种基于多分类模型的图像分类装置及分类方法，发明专利（实审），申请号或专利号：201810513084.7，2018-11-21
[6]    雷海军等，一种基于关系正则化的特征图像提取装置及提取方法，，发明专利（实审），申请号或专利号：201810579502.2，2018-11-14

发表的著作：
[1]    B. Lei, Y. Zhao, Z. Huang, X. Hao, F. Zhou, A. Elazab, J. Qin, and H. Lei*, "Adaptive sparse learning using multi-template for neurodegenerative disease diagnosis," Medical Image Analysis, vol. 61, p. 101632, 2020.（SCI收录，中科院一区，Top 期刊，IF：8.545）
[2]    H. Xie, X. Zeng, H. Lei, J. Du, J. Wang, G. Zhang, et al., "Cross-attention multi-branch network for fundus diseases classification using SLO images," Medical Image Analysis, vol. 71, p. 102031, 2021. （SCI收录，中科院一区，Top 期刊，IF：8.545）
[3]    Z. Huang, H. Lei, G. Chen, A. F. Frangi, Y. Xu, A. Elazab, et al., "Parkinson's Disease Classification and Clinical Score Regression via United Embedding and Sparse Learning From Longitudinal Data," IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2021.3052652, 2021. （SCI收录，中科院一区，Top 期刊，IF： 10.451）
[4]    H. Lei, W. Liu, H. Xie, B. Zhao, G. Yue, and B. Lei, "Unsupervised Domain Adaptation Based Image Synthesis and Feature Alignment for Joint Optic Disc and Cup Segmentation," IEEE Journal of Biomedical and Health Informatics, vol. 26, pp. 90-102, 2022. （SCI收录，中科院小类一区，IF: 5.772）
[5]    H. Lei, S. Liu, A. Elazab, X. Gong, and B. Lei, "Attention-Guided Multi-Branch Convolutional Neural Network for Mitosis Detection From Histopathological Images," IEEE Journal of Biomedical and Health Informatics, vol. 25, pp. 358-370, 2021.（SCI收录，中科院小类一区，IF: 5.772）
[6]    H. Lei, Y. Wen, Z. You, A. Elazab, E. Tan, Y. Zhao, et al., "Protein–Protein Interactions Prediction via Multimodal Deep Polynomial Network and Regularized Extreme Learning Machine," IEEE Journal of Biomedical and Health Informatics, vol. 23, pp. 1290-1303, 2019. （SCI收录，中科院小类一区，IF: 5.772）
[7]    H. Lei, Z. Huang, F. Zhou, A. Elazab, E. Tan, H. Li, et al., "Parkinson's Disease Diagnosis via Joint Learning from Multiple Modalities and Relations," IEEE Journal of Biomedical and Health Informatics, vol. 23, pp. 1437-1449, 2019.（SCI收录，中科院小类一区，IF: 5.772）
[8]    H. Lei, T. Han, F. Zhou, Z. Yu, J. Qin, A. Elazab, et al., "A deeply supervised residual network for HEp-2 cell classification via cross-modal transfer learning," Pattern Recognition, vol. 79, pp. 290-302, 2018.（SCI 收录，中科院二区，IF：7.740）
[9]    H. Lei, Z. Huang, J. Zhang, Z. Yang, E.-L. Tan, F. Zhou, et al., "Joint detection and clinical score prediction in Parkinson's disease via multi-modal sparse learning," Expert Systems with Applications, vol. 80, pp. 284-296, Sep 1 2017.（SCI 收录，中科院二区，IF: 6.954）
[10]    H. Xie, H. Lei, X. Zeng, Y. He, G. Chen, A. Elazab, et al., "AMD-GAN: Attention encoder and multi-branch structure based generative adversarial networks for fundus disease detection from scanning laser ophthalmoscopy images," Neural Networks, vol. 132, pp. 477-490, 2020.（SCI收录，中科院二区，IF: 8.050）
[11]    H. Xie, H. Lei, Y. He, and B. Lei, "Deeply supervised full convolution network for HEp-2 specimen image segmentation," Neurocomputing, vol. 351, pp. 77-86, 2019.（SCI收录，中科院二区，IF：5.719）
[12]    Z. Huang, H. Lei, G. Chen, H. Li, C. Li, W. Gao, et al., "Multi-center sparse learning and decision fusion for automatic COVID-19 diagnosis," Applied Soft Computing, vol. 115, p. 108088, 2022. （SCI收录，中科院二区，IF：6.725）
[13]    H. Lei, Y. Zhao, and B. Lei, "Predicting Early Stages of Neurodegenerative Diseases via Multi-task Low-Rank Feature Learning," in Medical Image Computing and Computer-Assisted Intervention, Cham, 2019, pp. 131-139.（医学顶会）
[14]    W. Liu, H. Lei, H. Xie, B. Zhao, and B. Lei, “Unsupervised domain adaptation based image synthesis and synergistic adversarial learning for optic disc and cup segmentation”, in Proceedings of IEEE International Conference on Multimedia and Expo (ICME 2021), Shenzhen, China, July 5-9,2021. （CCF B类）
[15]    H. Lei, Y. Zhao, Z. Huang, F. Zhou, L. Huang, and B. Lei, "Multi-classification of Parkinson's Disease via Sparse Low-Rank Learning," in 2018 24th International Conference on Pattern Recognition (ICPR), 2018, pp. 3268-3272.（CCF C类）
[16]    Y. Wen, H. Lei, Z. You, B. Lei, X. Chen, and L. Li, "Prediction of protein-protein interactions by label propagation with protein evolutionary and chemical information derived from heterogeneous network," J Theor Biol, vol. 430, pp. 9-20, Jun 16 2017.
[17]    H. Lei, H. Xie, W. Zou, X. Sun, K. Kpalma, and N. Komodakis, "Hierarchical Saliency Detection via Probabilistic Object Boundaries," International Journal of Pattern Recognition and Artificial Intelligence, vol. 31, p. 1755010, 2017.
[18]    B. Lei, X. Zhao, H. Lei, D. Ni, S. Chen, F. Zhou, et al., "Multipurpose watermarking scheme via intelligent method and chaotic map," Multimedia Tools and Applications, 2017.
[19]    B. Lei, F. Zhou, E.-L. Tan, D. Ni, H. Lei, S. Chen, et al., "Optimal and secure audio watermarking scheme based on self-adaptive particle swarm optimization and quaternion wavelet transform," Signal Processing, vol. 113, pp. 80-94, 2015.
[20]    B. Lei, E.-L. Tan, S. Chen, D. Ni, T. Wang, and H. Lei, "Reversible watermarking scheme for medical image based on differential evolution," Expert Systems with Applications, vol. 41, pp. 3178-3188, 2014.
[21]    B. Lei, I. Yann Soon, F. Zhou, Z. Li, and H. Lei, "A robust audio watermarking scheme based on lifting wavelet transform and singular value decomposition," Signal Processing, vol. 92, pp. 1985-2001, 2012.
[22]    H. Lei, Y. Zhao, Y. Wen, Q. Luo, Y. Cai, G. Liu, et al., "Sparse feature learning for multi-class Parkinson's disease classification," Technol Health Care, vol. 26, pp. 193-203, 2018.
[23]    H. Lei, Z. Huang, T. Han, Q. Luo, Y. Cai, G. Liu, et al., "Joint regression and classification via relational regularization for Parkinson's disease diagnosis," Technol Health Care, vol. 26, pp. 19-30, 2018.
[24]    H. Lei, T. Han, W. Huang, J. Y. Kuo, Z. Yu, X. He, et al., "Cross-Modal Transfer Learning for HEp-2 Cell Classification Based on Deep Residual Network," in 2017 IEEE International Symposium on Multimedia (ISM), 2017, pp. 465-468.
[25]    H. Lei, J. Zhang, Z. Yang, E. Tan, B. Lei, and Q. Luo, "Joint detection and clinical score prediction in Parkinson's disease via multi-modal sparse learning," in 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI), 2017, pp. 1231-1234.
[26]    Z. Huang, H. Lei, Y. Zhao, F. Zhou, J. Yan, A. Elazab, et al., "Longitudinal and multi-modal data learning for Parkinson's disease diagnosis," in 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI), 2018, pp. 1411-1414.
[27]    S. Li, H. Lei, F. Zhou, J. Gardezi, B. Lei, “Longitudinal and Multi-modal Data Learning for Parkinson’s Disease Diagnosis via Stacked Sparse Auto-encoder”, in 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI), 2019.
[28]    H. Xie, Y. He, H. Lei, T. Han, Z. Yu, and B. Lei, "Deeply Supervised Residual Network for HEp-2 Cell Classification," in 2018 24th International Conference on Pattern Recognition (ICPR), 2018, pp. 699-703.
[29]    H. Lei, Y. Zhao, Y. Wen, and B. Lei, "Adaptive Sparse Learning for Neurodegenerative Disease Classification," in 2017 IEEE International Symposium on Multimedia (ISM), 2017, pp. 292-295.
[30]    H. Lei, Y. Zhao, and B. Lei, "Multi-task Sparse Low-Rank Learning for Multi-classification of Parkinson’s Disease," in Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, Cham, 2018, pp. 361-368.
[31]    H. Lei, Z. Huang, A. Elazab, H. Li, and B. Lei, "Longitudinal and Multi-modal Data Learning via Joint Embedding and Sparse Regression for Parkinson’s Disease Diagnosis," in Machine Learning in Medical Imaging, Cham, 2018, pp. 310-318.
[32]    H. Lei, S. Liu, H. Xie, J. Kuo, B. Lei, "An Improved Object Detection Method for Mitosis Detection" , in The IEEE Engineering in Medicine and Biology Society (EMBC), 2019.
[33]    H. Lei, H. Li, A. Elazab, X. Song, Z. Huang, and B. Lei*, "Diagnosis of Parkinson’s Disease in Genetic Cohort Patients via Stage-Wise Hierarchical Deep Polynomial Ensemble Learning", In: Proceedings of Predictive Intelligence in Medicine (PRIME 2019), 2019, pp.142-150.
[34]    B. Zhao, H. Lei, X. Zeng, J. Cao, H. Xie, G.. Yue, et al, “Weakly-Supervised Lesion-aware and Consistency Regularization for Retinitis Pigmentosa Detection from Ultra-widefield Images”, in Proceeding of Ophthalmic Medical Image Analysis (OMIA 2020), 2020, pp.1-9.
[35]    W. Liu, H. Lei, H. Xie, B. Zhao, G.. Yue and  B. Lei*, “Multi-level Light U-Net and Atrous Spatial Pyramid Pooling for Optic Disc Segmentation on Fundus Image”, in Proceeding of Ophthalmic Medical Image Analysis (OMIA 2020), 2020, pp.1-11.
[36]    Z. Chen, H. Lei, Y. Zhao, Z. Huang, X. Xiao, Y. Lei, et al, "Template-oriented Multi-task Sparse Low-rank Learning for Parkinson’s Diseases Diagnosis", in Proceeding of Predictive Intelligence in Medicine (PRIME 2020), 2020, pp. 1-10.
[37]    Y. Zhuo, D. Ni, S. Chen, B. Lei, T. Wang, and H. Lei, "Multipurpose and intelligent watermarking scheme for medical data," in 2015 10th International Conference on Information, Communications and Signal Processing (ICICS), 2015, pp. 1-5.
[38]    B. Lei, T. Wang, S. Chen, D. Ni, and H. Lei, "Object recognition based on adapative bag of feature and discriminative learning," in 2013 IEEE International Conference on Image Processing, 2013, pp. 3390-3393.
[39]    雷海军，谢莲花，AVS菱形搜索运动估计算法优化.武汉大学学报（信息科学版）. 2012.3.337(3):374-377
[40]    雷海军,刘鹏，陈战夫,何业军,视频格式转换器中DDR的设计,电视技术，2011，35(14)：22-24
[41]    雷海军，刘鹏，何业军，谢莲花.基于RMP调度的简化差分域LDPC译码算法，四川大学学报:自然科学版，2012，49(2):582-586
[42]    雷海军，杨辉。 多视点视频编码混合快速搜索算法[J]。小型微型计算机系统。2013.5，(34)5，1176-1180
[43]    雷海军，杨辉。 高效率的多视点视频编码预测结构[J]。电视技术，2012，36（18）32-35。
[44]    雷海军，AVS解码中反量化的FPGA实现，微电子学与计算机，(核心期刊)，2010.7, 7(27):90-93
[45]    雷海军，谢莲花，何业军，李灵敏，基于颜色特征的数字式仪表读数定位方法，重庆邮电大学学报，2011.12，23(6)：105-109
[46]    Haijun Lei, Liu kun. Reconfigurable 3D Colour Information Acquisition System Based on Laser, International Conference on Space Information Technology, SPIE,Wuhan,Nov.2005.7，Vol.5985，59852K-1-59852K-7，EI收录, 检索号: 2006109739724
[47]    雷海军，FPGA Implementation of the Fast Algorithm for Extracting Laser Line,2nd International Conference on Communications and Mobile Computing, (CMC 2010),EI收录, 检索号: 20111013721758
[48]    雷海军,李德华,王建永,胡斌.一种结构光条纹中心快速检测方法.华中科技大学学报,2003,31(1):74-76，EI收录
[49]    雷海军,李德华, 薛雷, 关景火.FPGA+DSP航片并行处理系统.华中科技大学报,2002,11, 30 (11):28-30，EI收录
[50]    雷海军,李德华,钱铮铁等.三维扫描仪中人头轮廓线提取方法及实现. 计算机工程与应用，2003. No.19，37-39
[51]    Haijun Lei，Dehua Li，High-Speed Aerial Image Processing System based on DSP,In   Neural Network and Distributed Processing, Proceedings of SPIE Vol.4555,pp131-136，2001，EI ISTP 收录
[52]    雷海军，基于PCI的DVB-C数字电视接收系统，光电工程，2005，32(2),12 （EI核心刊源）
[53]    雷海军，基于USB的DVB-T数字电视接收系统设计,中国有线电视,2005,(7) (核心期刊)
[54]    雷海军，DMB-T数字电视接收系统的研制，电视技术,2005,(10). (核心期刊)
[55]    Haijun Lei，Design and FPGA Implementation of the Fast Algorithm for Extracting Laser Line，2nd International Conference on Communications and Mobile Computing，2010.4,pp.38-42, EI收录, 检索号: 20102613044922
[56]    Haijun Lei, The Application of An Improved Thinning Algorithm in Numeral Recognition System, The International Conference on Multimedia Technology,2010.10，pp.1-3，EI收录, 检索号: 20111013721758
[57]    Haijun Lei ,A Binarization  Algorithm for Digital meter image based on Gray-Scale Morphology, The 3rd International Congress on Image and Signal Processing，2010.10，pp.2427-2429, EI收录, 检索号: 20105213529701
[58]    Haijun Lei，Numeral Recognition Of Power Meter On A Handheld Terminal，Third International Symposium Computer Science and Computational Technology，2010.8，pp.76-79
[59]    Haijun Lei, A Novel Preprocessing Approach for Digital Meter Reading Based on Computer Vision, Third International Symposium Computer Science and Computational Technology, 2010.8,pp.308-311
[60]    Haijun Lei ,Automatic Real-time Location and Recognition of Barcodes on Objects with Complex Background and Non-uniform Lighting,2011.2，3rd International Conference on Computer and Network Technology (ICCNT 2011)
[61]    雷海军,李德华，胡汉平.实时三维信息获取系统.红外与激光工程,2000,12,29(6): 47-50
[62]    Haijun Lei，Dehua Li，Zhengtie Qian , Jianyong Wang, Jiapeng Lou. High-speed  Measurement of Illuminated Line Position Information. Advanced in Systems Science and Applications,2002.12 Vol.4 No.2    
[63]    雷海军,杨忠旺,陈骁,袁梅冷.一种快速编码单元决策算法[J].计算机工程. 2014,40(3):270-273
[64]    Haijun Lei, Zhongwang Yang. Fast Intra Prediction Mode Decision for High Efficiency Video Coding[C], the 2013 2nd International Symposium on Computer, Communication, Control and Automation.2013-12:778-787.
[65]    雷海军,杨忠旺,袁梅冷,杨张.HEVC快速帧内模式决策算法[J].计算机工程.(已录用).
[66]    雷海军，危雄，杨张，袁梅冷．一种快速HEVC帧内预测模式决策算法[J]．计算机工程，40（5），2014：270-273
[67]    B.Y. Lei, K. T. Lo, and H. J. Lei, “Optimization of AVS Audio Decoder Implemented on RISC Core,” in Proceedings of the International Conference on Computer and Electrical Engineering (ICCEE ‘2008), pp 32-35, Dec.2008, EI收录,检索号:20091411999821
[68]    B.Y. Lei, K.T. Lo, and H. J. Lei, “Design and Optimization of MC and DF in AVS-M Decoder Design and Optimization of MC and DF in AVS-M Decoder,” in Proceedings of the International Conference on Computer and Electrical Engineering (ICCEE’ 2008), pp 922-925, Dec. 2008, EI收录,检索号:20091411999992
[69]    B.Y. Lei, K.T. Lo1, and Haijun Lei，Hybrid SVD-Based Audio Watermarking Scheme，PCM 2010, Part I, LNCS 6297, pp.633–642, 2010,EI收录,检索号:20104513357461
[70]    B. Y. Lei, K.T. Lo and H. J. Lei, "A Blind and Robust Watermarking Scheme for H.264 Video," in Proceedings of 8th International Conference on Communications, Circuits and Systems (ICCCAS'10), Chengdu, July 28-30, pp 421-424, 2010,EI收录,检索号: 20104613394025
[71]    B. Y. Lei, K.T. Lo and H. J. Lei, “A New H.264 Video Encryption Scheme Based on Chaotic Cipher," in Proceedings of 8th International Conference on Communications, Circuits and Systems (ICCCAS'10), Chengdu, July 28-30, pp 373-377, 2010,EI收录,检索号: 20104613394040