李卫军，博士，博士生导师，中国科学院半导体所研究员，中国科学院大学教授，高速电路与神经网络实验室主任，形象认知计算研究组组长，美国University of Rhode Island访问学者，深圳市海外高层次人才“孔雀团队”首席科学家，模式识别与智能系统专家。国际高性能大数据暨智能系统会议（HPBD&IS）指导委员会委员，HPBD&IS 2019、 2020国际会议技术委员会共同主席，中国人工智能学会高级会员，中国集成电路知识产权联盟专家委员。
长期从事智能计算、机器学习、图像处理与模式识别、高维数据分析等领域的新理论、新方法与新技术研究。首次提出了单节拍浮点运算的多权值神经元电路设计方法，首次提出了模式识别专用神经计算机系统结构，首次提出了超低数据量人脸图像特征描述方法（48字节）。国家高技术研究发展计划（863计划）、国家自然科学基金委专家库专家，北京市科委项目评审专家，深圳市发改委、深圳市科创委项目评审专家，深圳市机器人、可穿戴设备和智能装备产业项目评审专家，《Journal of Control Science and Engineering》、《International Journal of Engineering Science and Technology》、《Analytical Methods》等学术期刊审稿专家；中国仪器仪表学会近红外光谱分会理事。
实习工作经历：
2014.12-2015.12 美国University of Rhode Island 访问学者
2013.1--至今 中国科学院半导体研究所 研究员
2007.12-2012.12 中国科学院半导体研究所 副研究员
2004.07-2007.12 中国科学院半导体研究所 助理研究员
1998.09-2004.06 中科院半导体所，微电子学与固体电子学，硕博连读
1994.09-1998.07 北京理工大学，电子工程系，本科
联系方式：
E-mail： wjli@semi.ac.cn；电话：010-82304336
主要研究方向：
高维复杂问题建模理论与方法，开展智能存储、模式识别、智能芯片与系统、近红外光谱分析等领域的应用基础技术研究与成果产业化工作，在国内外重要学术会议与期刊上发表学术论文70余篇，申请发明专利60余项，实现研究成果转化10余项、产生直接经济效益数亿元。具体的研究内容与成果如下：
(1)开展存储I/O建模、融合计算的智能数据存储处理器芯片（Data-storage Processing Unit，简称DPU）及智能存储技术研究，申请相关发明专利16项，发表相关学术论文近10篇，研究论文“PIPULS: Predicting I/O Patterns Using LSTM in Storage Systems”获得国际会议HPBD&IS 2019最佳论文奖。作为首席科学家联合承担深圳市海外高层次人才“孔雀团队”项目“数据存储处理器(DPU)的研制及产业化”。
(2)开展视觉信息处理与建模理论、方法研究，以及图像与视频处理、模式识别、智慧城市、智能安防等领域的应用技术研究，主持完成国家863计划“智能感知与先进计算”专题项目“基于高维仿生信息学的低数据量面像识别技术”、国家自然科学基金“视听觉信息的认知计算”重大研究计划项目“基于高维形象几何分析方法的仿生人脸图像处理与识别方法研究”、国家自然科学基金面上项目“基于同源连续性原理的人脸老化建模与识别方法研究”等国家级科技项目研究，发表相关学术论文30余篇，申请相关发明专利20余项，主要研究成果以专利转让、许可以及技术开发、联合实验室等形式与深圳威富集团合作开展技术转化工作。
(3)开展近红外光谱定性建模理论、方法与应用技术研究，申请相关发明专利15项，发表相关学术论文20余篇，作为支撑单位负责人承担国家重大科学仪器设备开发专项“光栅型近红外分析仪及其公用模型开发和应用”之任务“ 基于高维形象几何分析的NIR技术研究与软件开发”。
(4)开展半导体器件模型、人工智能芯片与系统等领域的新方法与技术研究，发表相关学术论文近10篇，申请相关发明专利5项，研究论文Computation of resonant frequencies and quality factors of cavities by FDTD technique and Pade approximation, IEEE Microwave and Wireless Components Letters, 11(5), May, 2001, 223-225单篇sci被引用123次。
研究成果：
(1) 发表科技论文90余篇，其中SCI论文30余篇、EI论文30余篇。
(2) 申请发明专利63项，其中10项获得授权，专利成果转化4项，完成科技成果转化与联合研究项目经费逾千万。
(3) 主持国家级科技项目4项、联合实验室项目2项、成果转化与横向联合研究项目6项；作为骨干人员参与各类科研项目15项。
发表论文：
(1)Yaxuan Lu, Weijun Li, Xin Ning, Xiaoli Dong, Yakun Zhang and Linjun Sun. Image Quality Assessment based on Dual Domains Fusion. The 2020 International Conference on High Performance Big Data and Intelligent Systems (HPBD&IS), 2020, pp.23-23
(2)Shuang Li, Xin Ning, Lina Yu, Liping Zhang, Xiaoli Dong, Yuan Shi and Wei He. Multi-angle Head Pose Classification when Wearing Mask for Face Recognition under the COVID-19 Coronavirus Epidemic. The 2020 International Conference on High Performance Big Data and Intelligent Systems (HPBD&IS), 2020, pp 23-23.
(3)Y Zhang, W Li, L Zhang, X Ning, L Sun, Y Lu. AGCNN: Adaptive Gabor Convolutional Neural Networks with Receptive Fields for Vein Biometric Recognition. Concurrency and Computation: Practice and Experience, 2020. (SCI)
(4)LinjunSun, Weijun Li, Xin Ning, Liping Zhang, Xiaoli Dong, Wei He. Gradient-Enhanced Softmax for Face Recognition [J]. IEICE TRANSACTIONS on Information and Systems. vol. E103, no. 05 (2020). (SCI)
(5)Linjun Sun, Wei He, Xin Ning, Weijun Li, Yuan Shi. PickPatch: A Regularization Method for Deep Face Recognition. The 4th International Conference on Control Engineering and Artificial Intelligence (CCEAI 2020), Singapore, 17-19 Jan, 2020.
(6)王磊，覃鸿，李静，张小波，于丽娜，李卫军。基于近红外高光谱图像的宁夏枸杞产地鉴别，《光谱学与光谱分析》（已录用，预计2020年6月发表）
(7)Xin Ning; Duoduo Gou; Xiaoli Dong*; Weijuan Tian; Lina Yu*; Chuansheng Wang; Conditional Generative Adversarial Networks Based on The Principle of Homology-Continuity for Face Aging, Concurrency and Computation: Practice and Experience, 2020. (Accept)
(8)Peng Chen, Qi Xiao, Jian Xu, Xiaoli Dong*, Linjun Sun, Weijun Li, Xin Ning, GuojunWang, Ziheng Chen. Harnessing Semantic Segmentation Masks for Accurate Facial Attribute Editing, CCPE, 2020
(9)Xin Ning, Shaohui Xu, Weijun Li, Shuai Nie. FEGAN: Flexible and efficient face editing with pre-trained generator, IEEE ACCESS, 2020.
(10)Xin Ning, Weijuan Tian, Weijun Li*, Yueyue Lu, Shuai Nie, Linjun Sun, Ziheng Chen. BDARS_CapsNet: Bi-directional attention routing sausage capsule network, IEEE Access, 2020
(11)Yaxuan Lu , Weijun Li , Xin Ning , et al. Face Quality Assessment based on Local Gradient. ICAIIS2020.
(12)Xin Ning, Pengfei Duan, Weijun Li*, Yuan Shi, Shuang Li. A CPU Real-time Face Alignment for Mobile Platform, IEEE ACCESS, 2020.
(13)Pengfei Duan, Xin Ning, Yuan Shi, Shaolin Zhang, Weijun Li, Faster Real-Time Face Alignment Method on CPU, Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2019, 398-408.
(14)Xin Ning, Weijun Li*, Weijuan Tian, Yueyue Lu. Topological Higher-Order Neuron Model Based on Homology-Continuity Principle, in Proceedings of 2019 2nd China Symposium on Cognitive Computing and Hybrid Intelligence (CCHI’19), Xi’an, China, 21-22 Sept. 2019:161-166.
(15)刘文杰，李卫军，覃鸿，李浩光，宁欣. 基于核局部保持投影的近红外光谱玉米单倍体识别研究, 光谱学与光谱分析, 2019, 39 (8), 2574
(16)Yakun Zhang, Weijun Li*, Liping Zhang, Xin Ning, Linjun Sun, Yaxuan Lu. Adaptive Learning Gabor Filter for Finger-Vein Recognition, IEEE Access, 2019, 7:159821-159830.
(17)Peng Chen, Weijun Li*, Linjun Sun, Xin Ning, Lina Yu, Liping Zhang. LGCN: Learnable Gabor Convolution Network for Human Gender Recognition in the Wild, IEICE Transactions on Information and Systems, 2019, E102D(10): 2067-2071.
(18)Jianchu Lin, Jinlong Li, Weijun Li, Hong Qin, Shaojiang Chen, A data transfer method for improving seed identification of maize (Zea mays) haploid breeding based on genetic similarity, Plant Breeding, 2019
(19)Dongyang Li, Yan Wang, Bin Xu, Wenjiang Li, Weijun Li*, Lina Yu, Qing Yang. PIPULS: Predicting I/O Patterns Using LSTM in Storage Systems, in Proceedings of 2019 International Conference on High Performance Big Data and Intelligent Systems (HPBD&IS’19), Shenzhen, China, 9-11 May 2019: 14-21.
(20)Yakun Zhang, Weijun Li, Liping Zhang, Yaxuan Lu. Adaptive Gabor Convolutional Neural Networks for Finger-Vein Recognition. 2019 International Conference on High Performance Big Data and Intelligent Systems(HPBD&IS), 2019, pp.219-222
(21)宁欣, 李卫军, 田伟娟, 徐驰, 徐健. 一种自适应模板更新的判别式KCF跟踪方法. 智能系统学报, 2019,14(1): 121-126
(22)Ning Xin, Li Weijun, Tian Weijuan, Chi Xu, Xiaoli Dong, Liping Zhang, Deep adaptive update of discriminant KCF for visual tracking, Neural Information Processing - 25th International Conference, ICONIP 2018, Proceedings, December 13, 2018 - December 16, 2018, Siem Reap, Cambodia, V11306 LNCS, p441-451.
(23)Lusi Li, Haibo He, Jie Li, Weijun Li. EDOS: Entropy Difference-based Oversampling Approach for Imbalanced Learning in Proc. IEEE World Congress on Computational Intelligence (IEEE WCCI'18), Rio de Janeiro, Brazil, July 08 - 13, 2018.
(24)Fan Ni, Xingbo Wu, Weijun Li, Song Jiang. ThinDedup: An I/O Deduplication Scheme that Minimizes Efficiency Loss due to Metadata Writes. in Proceedings of 2018 IEEE 37th International Performance Computing and Communications Conference (IPCCC’18), Orlando, FL, USA, 17-19 Nov. 2018.
(25)Haitao Wang, Zhanhuai Li, Xiao Zhang, Xiaonan Zhao, Xingsheng Zhao, Weijun Li, Song Jiang. OC-Cache: An Open-channel SSD Based Cache for Multi-Tenant Systems. 37th IEEE International Performance Computing and Communications Conference IPCCC 2018 November 17th – November 19th, 2018, Orlando, Florida, USA Hilton Orlando, Buena Vista Palace.
(26)Fan Ni, Xingbo Wu, Weijun Li, Lei Wang, Song Jiang. WOJ Enabling Write-Once Full-data Journaling in SSDs by Using Weak-Hashing-based Deduplication. Performance Evaluation, Volumes 127–128, November 2018, Pages 56-69.
(27)Dongyang Li, Yafei Yang, Weijun Li, Qing Yang, CISC: Coordinating Intelligent SSD and CPU to Speedup Graph Processing, in Proceedings of 2018 17th International Symposium on Parallel and Distributed Computing (ISPDC’18), Geneva, Switzerland, 25-28 June 2018: 149-156.
(28)Liping Zhang, Weijun Li*, Xin Ning and Xiaoli Dong, Yakun Zhang. A Binary Code Learning Method Based on Class-neighborhood for Finger Vein Recognition. The 2018 International conference on Artificial Intelligence: Technologies and Applications(ICAITA2018), 2018.03.25-03.26. Chengdu, China.
(29)Dong Xiaoli, Li Weijun, Ning Xin, et al. Stylized Portrait Generation and Intelligent Drawing of Portrait Rendering Robot[C]. 2018 International Conference on Mechanical, Electronic and Information Technology(ICMEIT 2018), 2018: 317-322(EI).
(30)李伟, 李金龙, 李卫军, 刘丽威, 李浩光, 陈琛, 陈绍江. 基于机器学习的玉米单倍体近红外光谱鉴别方法研究.光谱学与光谱分析, 2018, 38(09):2763-2769
(31)Xin Ning, Weijun Li*, Jian Xu. The Principle of Homology Continuity and Geometrical Covering Learning for Pattern Recognition, International Journal of Pattern Recognition and Artificial Intelligence, 2018, 32(12): 1850042(1-11).
(32)Lina Yu, Wenjie Liu, Weijun Li*, Hong Qin, Jian Xu, Min Zuo, Non-destruction identification of maize haploid seeds using nonlinear analysis method based on their near-infrared spectra, Biosystems Engineering, 172(2018),144-153
(33)林琴，李卫军，董肖莉，宁欣，陈鹏. 基于双目视觉的人脸三维重建, 智能系统学报, 2018,13(4), 534-542
(34)董肖莉，李卫军*，宁欣，张丽萍，路亚旋. 应用三角形坐标系的风格化肖像生成方法[J]. 西安交通大学学报. 2018年第四期（录用）
(35) Xin Ning, Weijun Li*,Meili Wei, Linjun Sun and Xiaoli Dong, "Face Anti-spoofing basedon Deep Stack Generalization Networks ", The 2018 International Conferenceon Pattern Recognition Applications and Methods，2018:317-323. (EI)
(36) Ning X, Weijun L I, SunL. Age Estimation Method Based on Generative Adversarial Networks[J]. 2017 5thInternational Conference on Artificial Intelligence and Applications inEngineering and Technology, CCI 2017. (EI)
(37) Xin Ning, Weijun Li*, BoTang and Haibo He，"BULDP: Biomimetic Uncorrelated Locality Discriminant Projectionfor Feature Extraction in Face Recognition ",IEEE Transactions onImage Processing,2018:1-1 （SCI）
(38) Xin Ning, Weijun Li,Wenjie Liu.A Fast SingleImage Haze Removal Method Based on Human Retina Property[J],IEICE Transactions oninformation and system，2017, E100.D(1):211-214. (SCI索引)
(39) 李浩光，李卫军，覃鸿，于丽娜，于云华，逄燕.基于栈式自编码神经网络的包衣单籽粒玉米品种识别.农业机械学报2017,48(s1):422-428
(40) 张丽萍, 李卫军*, 宁欣, 董肖莉, 刘文杰.一种基于2DHOL特征与(2D)2FPCA结合的手指静脉识别方法.计算机辅助设计与图形学学报 , 2018 , 30 ( 2 ): 254-261
(41) Li Haoguang, Li Weijun,Qin Hong, Ning xin,Liu Wenjie.Study of the Near Infrared Spectra Qualitative Analysis MethodBased on Diversity of Samples.2017 12th IEEE Conference on Industrial Electronics andApplications (ICIEA)
(42) Wenjie Liu, Weijun Li,Linjun Sun, Liping Zhang, Peng Chen.Finger Vein Recognition Based on DeepLearning,ICIEA, 2017, Siem Reap, Cambodia
(43) Lin J, Yu L, Li W, etal. Method for Identifying Maize Haploid Seeds by Applying Diffuse TransmissionNear-Infrared Spectroscopy[J]. Applied Spectroscopy, 2017(1):3702817742790.
(44) 林琴，李卫军，董肖莉，宁欣，陈鹏.基于双目视觉的人脸三维重建,智能系统学报, 20170703.1601.006（网络出版）
(45) 刘文杰, 李卫军, 李浩光,等. 基于KPCA和近红外光谱的鉴别玉米单倍体方法研究[J]. 光谱学与光谱分析, 2017, 37(7):2024-2027.
(46) 刘文杰，李卫军*，覃鸿，李浩光，宁欣.基于核局部保持投影的近红外光谱玉米单倍体识别研究,光谱学与光谱分析，（录用）
(47) LinQ, Li W, Ning X, et al. Liveness Detection Using Texture and 3D StructureAnalysis[C]// Chinese Conference on Biometric Recognition. Springer, Cham,2016:637-645.
(48) 师亚亭, 李卫军, 宁欣,等. 基于嘴巴状态约束的人脸特征点定位算法[J]. 智能系统学报, 2016, 11(5):578-585.
(49) 李浩光,李卫军*,覃鸿,陈绍江,刘金,李伟. 基于最小平方误差的单倍体和二倍体分类方法研究, 农业机械学报, 2016,47(6):259-264(EI)
(50) 陈阳，覃鸿等. 仿生模式识别技术研究与应用进展[J], 智能系统学报，2016(1), 1-14
(51) 李浩光，李卫军*等. 一种添加历史数据的近红外光谱特征提取方法研究[J], 光谱学与光谱分析，已录用
(52) 宁欣, 李卫军*等. 基于仿生学的不相关局部保持鉴别分析[J], 计算机研究与发展, 2016（53）（EI检索）
(53) 李卫军，刘玉梅，陈绍江，覃鸿，刘金，田震．基于机器视觉的玉米单倍体自动分选系统[J], 农机化研究, 2016, (1): 81-85.
(54) QIN Hong, MA Jingyi, etc. Identification of Haploid Maize Kernel Using NIR Spectroscopy in Reflectance and Transmittance Modes: A Comparative Study. Spectroscopy and Spectral Analysis, 2016, 36 (01): 292-297.
(55) 覃鸿，马竞一，陈绍江，严衍禄，李卫军*，王平，刘金. 基于近红外漫反射与漫透射光谱的玉米单倍体鉴别比较研究[J]. 光谱学与光谱分析, 2016, 36(1): 292-297.
(56) Xin Ning, Weijun Li*, Xiaoli Dong, Liping Zhang and Yating Shi. An Image Fog Removal Method based on Human Visual Property, 2015, 2015 8th International Congress on Image and Signal Processing (CISP 2015): 178-183. （EI检索）
(57) 覃鸿，马竞一，陈绍江，李卫军*，严衍禄，王平，刘金. 光照强度和光阑孔径对近红外漫透射光谱鉴别单倍体玉米影响研究[J]. 红外技术(中文核心期刊)，2015，37(1): 78-81.
(58) 陈阳，董肖莉，李卫军，张丽萍，覃鸿. 基于仿生形象思维方法的图像检索算法的改进. 智能系统学报, 2015, 10(2), 209-214.
(59) 阮晓虎，李卫军，覃鸿，董肖莉，张丽萍. 一种基于特征匹配的人脸配准判断方法[J]. 智能系统学报, 2015, (1), 12-19.
(60) 柳培忠，阮晓虎，田震，李卫军，覃鸿. 一种基于多特征融合的视频目标跟踪方法.智能系统学报，2014, 9(3), 319-324.
(61) 柳培忠，宁欣，李卫军. 一种网页图像文字分割方法. 计算机工程与应用，2014, 50(10), 180-183.
(62) Xin Ning, Weijun Li*, Wenjie Liu. A text location method for web images. Advanced Materials Research, 2014, Vols. 926-930, 3350-3353.（EI检索）
(63) Weijun Li, Tongyu Li, Hong Qin, Xiaohu Ruan and Zhen Tian，Facial Gender Recognition Based on Local Gabor Binary Pattern and Orthogonal Linear Discriminant Analysis，Journal of Pattern Recognition and Intelligent Systems, May 2014, Vol.2, Iss.2, pp23-29.
(64) 曹吾，李卫军*，王平，张丽萍. 近红外定性分析模型的稳健性与适应性分析[J]. 光谱学与光谱分析, 2014, 34(06): 1506-1511.
(65) 柳培忠，张丽萍*，李卫军，覃鸿，董肖莉. 基于DS算法的玉米近红外定性分析光谱校正方法研究[J]. 光谱学与光谱分析, 2014, 34(06): 1533-1537.
(66) 李同宇，李卫军，覃鸿. 基于特征融合的人脸图像性别识别/Facial Image Gender Recognition method based on Feature Fusion [J], 智能系统学报, 2013, 8(6): 505-511.
(67) 陈亮，李卫军，谌琛，覃鸿，来疆亮. 数字图像清晰度评价函数的通用评价能力研究[J], 计算机工程与应用, 2013, 49(14): 152-155.
(68) 赵慧敏，李卫军，刘扬阳，谌琛，陈亮. 基于三高斯滤波的低质指纹图像增强方法[J], 智能系统学报, 2012, 7(6): 481-493.
(69) 谌琛，李卫军，陈亮，覃鸿，来疆亮. 一种自适应的仿生图像增强方法: LDRF算法[J]，智能系统学报, 2012, 7(5): 404-408.
(70) 张丽萍，李卫军*，王平，安冬. 玉米品种近红外光谱鉴别中的参数漂移问题研究[J], 光谱学与光谱分析, 2012, 32(10): 2785-2788.
(71) Chen Chen, Li Weijun, Chen Liang. An improved biomimetic image processing method, Lecture Notes in Computer Science, v 7003 LNAI, n PART 2, 2011, Artificial Intelligence and Computational Intelligence - Third International Conference, AICI 2011, Proceedings, p246-254. (EI: 20114214443138)
(72) Chen Liang, Li Weijun, Chen Chen. Research on the principle of homology-continuity in image degradation, Lecture Notes in Computer Science, v 7003 LNAI, n PART 2, 2011, Artificial Intelligence and Computational Intelligence - Third International Conference, AICI 2011, Proceedings, p255-263. (EI: 20114214443139)
(73) 陈旭，李卫军，王守觉. 硬限幅多阈值神经元在组合逻辑设计中的应用[J], 电路与系统学报, 2011, 16(1): 121-124.
(74) 覃鸿，李卫军*，来疆亮. DPLS特征提取的 LDA方法在玉米近红外光谱定性分析中的应用[J], 光谱学与光谱分析, 2011, 31(7): 1777-1781.
(75) 王徽蓉, 李卫军*, 刘扬阳, 陈新亮, 来疆亮. 基于遗传算法与线性鉴别的近红外光谱玉米品种鉴别研究[J]. 光谱学与光谱分析, 2011, 31(3): 669-672.
(76) 李阳鹏，李卫军*，来疆亮. 玉米品种近红外光谱的DFT特征分析方法[J], 光谱学与光谱分析, 2011, 31(1): 119-122.
(77) 陈新亮, 王徽蓉, 李卫军*, 来疆亮. 一种用于玉米品种鉴别的近红外光谱频率选择方法[J]. 光谱学与光谱分析, 2010, 30(11): 2919-2922.
(78) 王徽蓉，陈新亮，李卫军*，来疆亮. 玉米品种近红外光谱的特征分析与鉴别方法[J]，光谱学与光谱分析, 2010, 30(12): 3213-3216.
(79) 金小贤，李卫军，陈旭，王守觉. 一种基于视觉特性的仿生图像增强算法[J], 计算机辅助设计与图形学学报，2010, 22(3): 534-537.
(80) 杨国为，王守觉，李卫军. 具有期望容错域的前向掩蔽联想记忆模型的设计方法[J], 计算机学报, 2009, 32(1): 124-131.
(81) 莫华毅，李卫军，王守觉. 一种直观鲁棒的人脸检测方法[J], 仪器仪表学报, 2008, 29(4): 432-434.
(82) Lei Dai, Weijun Li, Xu Chen, Xiaoxian Jin, and Yanfeng Qu. Research of Face Detection System Applied for Detecting Faces with Complex Background and Illumination. 5th International Conference on Fuzzy Systems and Knowledge Discovery 2008, Vol.4:106-109. (EI: 20090211845696, SCI: 000264270100022)
(83) Mo Huayi, Li Weijun, Dailei. Research of face location system based on human vision simulations, The proceeding of, 2008 international conference on intelligent computation technology and automation, ICICTA 2008, pp170-174. (EI: 20090111822236, SCI: 000262458200036)
(84) 鲁华祥，李卫军，来疆亮，赵顾良，刘星星. 仿生模式识别的研究进展，中国计算机学会通讯，2007，12，（Communications of CCF 2007/12），pp18-25.
(85) Wang Shoujue, Chen Xu, Li Weijun. Discussion on the basic mathematical models of neurons - Double synaptic weight neuron in general-purpose neurocomputer, theory and application, CHINESE JOURNAL OF ELECTRONICS, JUL 2006, 15 (3): 373-377.
(86) Wang Shoujue, Chen Xu, Qin Hong, Li Weijun, Bian Yi. Double Synaptic Weight Neuron Theory and Its Application, ICNC'05,The First International Conference on Natural Computation, Changsha, China, August27-29,2005, Proceedings, Part I, pp264-272. (EI: 20071810582405, SCI: 000232222400032)
(87) Wang Shoujue, Chen Xu, Li Weijun. Object-Recognition with Oblique Observation Directions Based on Biomimetic Pattern Recognition, ICCN&B'05, International Conference on Neural Networks & Brain, Beijing, China, Oct.13-15, 2005, Proceedings Vol.3 pp1498-1502. (EI: 20070910447231, SCI: 000236575102044)
(88) Wang Shoujue, Li Weijun, Chen Xu. A DSWN-Based Specific-Purpose Neural Computing System, ICCN&B'05, 2005 International Conference on Neural Networks & Brain, Beijing, China, Oct.13-15, 2005, Proceedings Vol.3, pp1490-1593 (EI: 20070910447229, SCI: 000236575102042)
(89) Li Weijun, Xu jian, Wang Shoujue. A Fast Eye Location Algorithm Based on Geometric Complexity, WCICA’04, Proceedings of the 5th World Congress on Intelligent Control and Automation, Volume 5, June 9-13,2004, Hangzhou, P.R.China, p4105-4107. (EI: 2004388367772, SCI: 8134597)
(90) 曲延锋，李卫军，王守觉. 复杂背景下多姿态人脸快速检测算法[J], 计算机辅助设计与图形学学报, 2004, 16(1): 45-50.
(91) 王守觉，李卫军. 单节拍浮点运算神经元的组合逻辑设计[J], 半导体学报, 2004, 25(11): 1505-1508.
(92) 王守觉，曲延锋，李卫军，覃鸿. 基于仿生模式识别的人脸识别系统与传统模式方法的识别效果的比较研究[J], 电子学报，2004，32(7): 1057-1061.
(93) 李卫军，王守觉. 基于软硬件协同设计的图像处理硬件加速器的设计与实现，第十三届中国神经网络学术会议论文集，cnnc’03, 中国青岛, pp280-284.
(94) Xu Jian, Li Weijun, Qu Yanfeng; Qin Hong; Wang Shoujue. Architecture research and hardware implementation on simplified neural computing system for face identification, Neural Networks, 2003. Proceedings of the International Joint Conference on , Volume: 2 , July 20 -24, 2003, 948 –952. (EI: 2003397647665, SCI: 7877080)
(95) Qu Yanfeng, Xu Jian, Li Weijun, Wang Shoujue. New effective filtering algorithm for the removal of impulse noise from images,Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics, 15(4), April, 2003, p397-401. (EI: 2003327584823, SCI: 7872775)
(96) Guo Wei-Hua, Li Wei-Jun, Huang Yong-Zhen. Computation of resonant frequencies and quality factors of cavities by FDTD technique and Pade approximation, IEEE Microwave and Wireless Components Letters, 11(5), May, 2001, 223-225. (EI: 2002086866915, SCI: 6936116)