张宏志科研成果

基本信息 科学研究 教育教学 论文专著 新建主栏目 张宏志 博士 副教授 名称 张宏志，博士，现任哈尔滨工业大学计算学部副教授，博士生导师 研究领域 名称 人工智能 智能视觉计算 深度学习 融合智能与机器学习 主要从事融合智能与机器学习领域的研究与教学工作，主要兴趣包括：人工智能、机器学习、智能视觉计算、生物医学图像处理与分析、影视处理与分析等人工智能领域的基础研究与应用。 研究成果 名称 作为主要成员获得黑龙江省自然科学奖一等奖（2020年）、二等奖（2014年）以及省教育厅高校成果一等奖（2014年）各1项，中国中西医结合学会科学技术二等奖1项；已作为负责人承担国家自然科学基金项目4项，并曾先后参与多项国家自然科学基金(含重点、重大国际合作及面上项目)、863重点及教育部博士点基金项目；获得国家发明专利授权10项。 已发表包括IEEE T-PAMI、T-IP、T-MM、T-CSVT在内的CCF-A类期刊论文及CVPR、ECCV在内CCF-A类会议论文，总计150余篇(谷歌学术h-index=22，i10-index=38)，所提出的MWCNN方法的会议与期刊论文谷歌学术引用已累计900余次(截至2024年1月)；作为副主编出版中文专著1部、英文专著2部。此外，还受Springer出版社邀请作为通讯作者出版国际上第一部计算机舌诊学术英文国际专著。现为CVPR、ICCV、ECCV等CCF A类国际会议，以及IEEE T-IP、T-BME、PR、ESWA、NC、NCA、JMO等国际期刊审稿人。 科研项目 名称 作为负责人承担的项目： "面向底层视觉任务的通用自监督预训练基础模型研究"（国家自然科学基金面上项目），时间：2024~2027，编号：6237011159 “面向图像盲超分辨的模块化深度网络建模与学习方法研究”（国家自然科学基金面上项目），时间：2019~2022，编号：61872118 “基于舌图像集合的距离度量学习模型及舌象分类方法研究”（国家自然科学基金面上项目），时间：2015~2018，编号：61471146 “计算机舌诊中不确定性信息的处理与分析”（国家自然科学基金项目），时间：2011~2013，编号：61001037 “人体生物特征建模技术”，时间：2009~2010 “哈尔滨工业大学优秀青年教师培养计划”，时间：2008~2009 作为主要成员参与的项目： “多域视觉学习”（国家自然科学基金重点项目），时间：2020~2023 “基于舌象、脉象联合的中医诊断客观化研究”（国家自然科学基金重大国际/地区合作项目），时间：2006-2008，编号：60620160097 “面向自助通关的生物特征识别系统研究”（国家863重点项目子课题），时间：2006~2008，编号：2006AA01Z193 “面向中医诊断舌象自动分析与研究”（国家自然科学基金国际合作项目：两个基地建设），时间：1999-2002，编号：60140460783 “e-Heart仿真平台及关键技术研究”（国家自然科学基金面上项目），时间：2005-2007，编号：60571025 “基于结构光的扩张鼻内腔脑外科手术三维影像重建技术研究”（国家自然科学基金面上项目），时间：2008-2010，编号：60872099 “基于多生物特征融合的中医证候建模研究”（国家自然科学基金面上项目），时间：2003-2005，编号：90209020 “基于多光谱舌下图像的舌下络脉诊法客观化研究”（国家自然科学基金面上项目），时间：2012-2014，编号：61102037 “基于人体口腔气味检测与分析的中医诊断技术研究”（国家自然科学基金面上项目），时间：2009-2011，编号：60803090 “面向中医诊断的自动舌象处理系统” （国家863计划项目），时间：1999-2001，编号：863-306-ZT04-06-6 “多光谱人脸快速检测与识别技术”（哈尔滨市科技局公关项目），时间：2007~2008 工作经历 名称 时间 工作经历 2002年12月～2004年12月 哈尔滨工业大学 计算机科学与技术学院 助教 2005年 1月～2011年11月 哈尔滨工业大学 计算机科学与技术学院 讲师 2011年 12月～ 哈尔滨工业大学 计算机科学与技术学院 副教授 主要任职 名称 中国人工智能学会高级会员 中国计算机学会会员 国家自然科学基金通讯评议专家 教育部学位中心论文评审专家 IEEE会员 研究领域 名称 张宏志博士多年来从事人工智能领域中深度视觉计算、融合智能与机器学习，及其在医学诊断、公共安全等交叉学科领域的应用和基础研究。曾于2008年入选哈尔滨工业大学优秀青年教师培养计划；曾分别于2005年12至2006年6月，2007年8月至2008年1月，2013年3月至7月在香港理工大学计算机系任研究助理。通过多年积累，已建立起世界已知规模最大、最全面的人体体表特征识别数据库，并被来自50余国家和地区的400余家研究单位申请使用，成为该研究领域最权威的数据资源。此外，所主导设计和研发的面向影视媒体的高品质UHD上变换与智能修复系统、便携式舌象采集与分析仪、ATM安全预警与异常检测分析系统以及参与设计研发的超声脉象分析仪均已发展成为我国具有独立自主知识产权的创新实用系统，为国家和地方创造了良好的社会和经济效益。 上述成果还体现在论文、专著和知识产权等方面。已发表包括IEEE T-PAMI、T-IP、T-MM、T-CSVT在内的CCF-A类期刊论文及CVPR、ECCV在内CCF-A类会议论文，总计150余篇(谷歌学术h-index=22，i10-index=38)，所提出的MWCNN方法的会议与期刊论文谷歌学术引用已累计900余次(截至2024年1月)；作为副主编出版中文专著1部、英文专著2部。此外，还受Springer出版社邀请作为通讯作者出版国际上第一部计算机舌诊学术英文国际专著。现为CVPR、ICCV、ECCV等CCF A类国际会议，以及IEEE T-IP、T-BME，ESWA、NCA、JMO等国际期刊审稿人。 作为主要成员获得黑龙江省自然科学奖一等奖（2020年）、二等奖（2014年）以及省教育厅高校成果一等奖（2014年）各1项，中国中西医结合学会科学技术二等奖1项；已作为负责人承担国家自然科学基金项目4项，并曾先后参与多项国家自然科学基金(含重点、重大国际合作及面上项目)、863重点及教育部博士点基金项目；目前已获得国家发明专利授权9项。 部分奖励与成果 名称 基于模型引导的深度视觉计算理论与学习，2020年黑龙江省自然科学一等奖（排名第四）； 生物特征识别中的特征抽取与特征表达方法，2014年黑龙江省自然科学二等奖（排名第四）。 部分专利及知识产权 名称 左旺孟; 张宏志; 刘鹏举 基于多级小波卷积神经网络的图像复原系统，2021.6.22 中国 ZL 2018 1 0467098.X (发明专利授权) 左旺孟; 吕德生; 张宏志; 邓红; 吴圣深 基于增强光场显示的视觉缺陷校正系统 2015.1.8 中国 ZL 2015100072201 (发明专利授权) 左旺孟; 邓红; 张宏志; 张垒磊; 石坚 一种相机抖动造成的模糊图像复原方法，2014.1.20 中国 ZL 2014100222806(发明专利授权) 左旺孟; 刘磊; ;张宏志; 候山鹏; 张垒磊; 石坚 一种超声血流信号质量实时分析方法 2013.3.24 中国 ZL 2013100421951 (发明专利授权) 张宏志; 左旺孟; 张垒磊; 石坚 基于人脸识别的ATM安全认证与预警方法 2008.04.24 中国 ZL 2008100643710 (发明专利授权) 张大鹏; 李乃民; 王宽全; 黄勃; 张宏志 舌象纹理自动分析方法 2006.10.11, 中国 ZL 2006101508736(发明专利授权) 张大鹏; 李乃民; 王宽全; 黄勃; 张宏志 基于像素的舌苔舌质颜色提取及分类方法 2006.10.11 中国 ZL 2006101508717 (发明专利授权) 张大鹏; 李乃民; 王宽全;黄勃；张宏志 基于舌象特征的病证计算机分析系统 2006.10.11 中国 ZL 2006101508670 (发明专利授权) 讲授课程 名称 本科生课程： 计算机视觉 智能视觉计算 像素视界：智能视觉计算与视觉大模型 视听觉信号处理 视听觉信息理解 生物医学图像处理 研究生课程： 生物特征识别 招生信息 名称 硕、博士招生领域包括但不限于： 人工智能应用 智能视觉技术 深度学习理论 智能驾驶技术 图像处理与模式识别 部分已发表论文 名称 R Wu, Z Zhang, S Zhang, H Zhang, W Zuo, Rbsr: Efficient and flexible recurrent network for burst super-resolution. Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 65-78. Zhilu Zhang, Ruohao Wang, Hongzhi Zhang, Yunjin Chen, W. Zuo: Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations. ECCV 2022. T Ma, Q Wang, H Zhang, W Zuo, "Delving deeper into pixel prior for box-supervised semantic segmentation," in IEEE Transactions on Image Processing, vol. 31, 2022, pp. 1406-1417. Pengju Liu, Hongzhi Zhang, Jinghui Wang, Yuzhi Wang, Dongwei Ren, Wangmeng Zuo, "Robust Deep Ensemble Method for Real-world Image Denoising," Neurocomputing, Volume 512, 1 November 2022, pp. 1-14. H. Wang, Q. Wang, H. Zhang, Q. Hu and W. Zuo, "CrabNet: Fully Task-Specific Feature Learning for One-Stage Object Detection," in IEEE Transactions on Image Processing, vol. 31, pp. 2962-2974, 2022, doi: 10.1109/TIP.2022.3162099. Z. Yan, R. Zhang, H. Zhang, Q. Zhang and W. Zuo, "Crowd Counting via Perspective-Guided Fractional-Dilation Convolution," in IEEE Transactions on Multimedia, 2021, doi: 10.1109/TMM.2021.3086709. H. Wang, Q. Wang, H. Zhang, J. Yang and W. Zuo, "Constrained Online Cut-Paste for Object Detection," in IEEE Transactions on Circuits and Systems for Video Technology, vol. 31, no. 10, pp. 4071-4083, Oct. 2021, doi: 10.1109/TCSVT.2020.3045978. Pengju Liu, Hongzhi Zhang, Yue Cao, Shigang Liu, Dongwei Ren, Wangmeng Zuo: Learning cascaded convolutional networks for blind single image super-resolution. Neurocomputing 417: 371-383 (2020) Xiaoming Li, Wenyu Li, Dongwei Ren, Hongzhi Zhang, Meng Wang, Wangmeng Zuo: Enhanced Blind Face Restoration With Multi-Exemplar Images and Adaptive Spatial Feature Fusion. CVPR 2020: 2703-2712 Jia-Zhi Du, Xin Qiao, Zifei Yan, Hongzhi Zhang, Wangmeng Zuo: Flexible Image Denoising with Multi-layer Conditional Feature Modulation. CoRR abs/2006.13500 (2020) Pengju Liu, Hongzhi Zhang, Wei Lian, Wangmeng Zuo: Multi-Level Wavelet Convolutional Neural Networks. IEEE Access 7: 74973-74985 (2019) Xiaohe Wu, Weisong Wang, Fei Yang, Hongzhi Zhang, Wangmeng Zuo: Joint learning of Siamese network with top-down modulation and hard example mining for visual tracking. J. Electronic Imaging 28(5): 053034 (2019) Weiqi Zhang, Zifei Yan, Gang Xiao, Hongzhi Zhang, Wangmeng Zuo: Learning Distance Metric for Support Vector Machine: A Multiple Kernel Learning Approach. Neural Process. Lett. 50(3): 2899-2923 (2019) Pengju Liu, Hongzhi Zhang, Wei Lian, Wangmeng Zuo: Multi-level Wavelet Convolutional Neural Networks. CoRR abs/1907.03128 (2019) Ibrahim Omara, Xiaohe Wu, Hongzhi Zhang, Yong Du, Wangmeng Zuo: Learning pairwise SVM on hierarchical deep features for ear recognition. IET Biom. 7(6): 557-566 (2018) Ibrahim Omara, Hongzhi Zhang, Faqiang Wang, Ahmed Hagag, Xiaoming Li, Wangmeng Zuo:Metric Learning with Dynamically Generated Pairwise Constraints for Ear Recognition. Inf. 9(9): 215 (2018) Pengju Liu, Hongzhi Zhang, Kai Zhang, Liang Lin, Wangmeng Zuo: Multi-Level Wavelet-CNN for Image Restoration. CVPR Workshops 2018: 773-782 Ibrahim Omara, Hongzhi Zhang, Faqiang Wang, Wangmeng Zuo: Metric Learning with Dynamically Generated Pairwise Constraints for Ear Recognition. CoRR abs/1803.09630 (2018) Pengju Liu, Hongzhi Zhang, Kai Zhang, Liang Lin, Wangmeng Zuo: Multi-level Wavelet-CNN for Image Restoration. CoRR abs/1805.07071 (2018) Ibrahim Omara, Xiaohe Wu, Hongzhi Zhang, Yong Du, Wangmeng Zuo: Learning pairwise SVM on deep features for ear recognition. ICIS 2017: 341-346 Hong Deng, Dongwei Ren, David Zhang, Wangmeng Zuo, Hongzhi Zhang, Kuanquan Wang: Efficient non-uniform deblurring based on generalized additive convolution model. EURASIP J. Adv. Signal Process. 2016: 22 (2016) Ibrahim Omara, Feng Li, Hongzhi Zhang, Wangmeng Zuo: A novel geometric feature extraction method for ear recognition. Expert Syst. Appl. 65: 127-135 (2016) Chunwei Song, Hong Deng, Huijun Gao, Hongzhi Zhang, Wangmeng Zuo: Bayesian non-parametric gradient histogram estimation for texture-enhanced image deblurring. Neurocomputing 197: 95-112 (2016) Kai Zhang, Baoquan Wang, Wangmeng Zuo, Hongzhi Zhang, Lei Zhang: Joint Learning of Multiple Regressors for Single Image Super-Resolution. IEEE Signal Process. Lett. 23(1): 102-106 (2016) Feng Pan, Zifei Yan, Kai Zhang, Hongzhi Zhang, Wangmeng Zuo: The Effect of Quantization Setting for Image Denoising Methods: An Empirical Study. CCPR (2) 2016: 274-285 Shoufeng Zheng, Chunwei Song, Hongzhi Zhang, Zifei Yan, Wangmeng Zuo: Learning-Based Weighted Total Variation for Structure Preserving Texture Removal. CCPR (2) 2016: 147-160 Weiqi Zhang, Zifei Yan, Hongzhi Zhang, Wangmeng Zuo: Joint Learning of Distance Metric and Kernel Classifier via Multiple Kernel Learning. CCPR (1) 2016: 586-600 H. Zhang, F. Li, P. Liu, et al. How can a sparse representation be made applicable for very low-dimensional data? Expert Systems with Applications, 2017. (IF: 2.98) H. Zhang, F. Li, H. Deng, et al. Adjusting samples for obtaining better l 2 -norm minimization based sparse representation. Journal of Visual Communication & Image Representation, 2016, 39:93-99. (IF: 1.53) H. Zhang, F. Wang, Y. Chen, et al. Sample pair based sparse representation classification for face recognition. Expert Systems with Applications, 2015, 45(C):352-358. (IF: 2.98) H. Zhang, F. Wang, Y. Chen, et al. Combination of linear regression classification and collaborative representation classification. Neural Computing and Applications, 2014, 25(3):833-838. (IF: 1.49) H. Zhang, Z. Zhang, Z. Li, et al. Improving representation-based classification for robust face recognition. Journal of Modern Optics, 2014, 61(11):961-968. (IF: 1.267) W. Wang, H. Zhang, P. Zhu, et al. Non-convex regularized self-representation for unsupervised feature selection. International Conference on Intelligent Science and Big Data Engineering. Springer International Publishing, 2015: 55-65. D. Ren, H. Zhang, Zhang D., et al. Fast total-variation based image restoration based on derivative alternated direction optimization methods. Neurocomputing, 2015, 170:201-212. (IF: 2.39) J. Zhang, H. Zhang, Li Z. A hierarchical structure with improved OMP sparse representation used with face recognition. Optik - International Journal for Light and Electron Optics, 2014, 125(17):4729-4735. (IF: 0.742) P. Liu, H. Zhang, K. Zhang, et al. Class Relatedness Oriented Discriminative Dictionary Learning. CCF Chinese Conference on Computer Vision. Springer Berlin Heidelberg, 2015: 335-343. F. Jia, H. Zhang, H. Deng, et al. Image denoising using hyper-Laplacian priors and gradient histogram preservation model. Signal Processing (ICSP), 2014 12th International Conference on. IEEE, 2014: 811-815. L. Chen, H. Zhang, D. Ren, et al. Fast augmented Lagrangian method for image smoothing with hyper-laplacian gradient prior. Chinese Conference on Pattern Recognition. Springer Berlin Heidelberg, 2014: 12-21. Z. Cui, H. Zhang, W. Zuo. Interactive Tongue Body Segmentation. Medical Biometrics, 2014 International Conference on. IEEE, 2014: 26-31. F. Wang, H. Zhang, K. Wang, et al. Fast neighbourhood component analysis with spatially smooth regulariser for robust noisy face recognition. Biometrics Iet, 2014, 3(4):278-290. (IF: 1.093) P. Wang, H. Zhang, W. Zuo, et al. A comparison of three types of pulse signals: Physical meaning and diagnosis performance. International Conference on Biomedical Engineering and Informatics. 2013:352-357. X. Lin, H. Zhang, H. Deng, et al. Adaptive Regularization Parameters and Norm Selection for Sparse Gradient Based Image Restoration. Intelligence Science and Big Data Engineering. Springer Berlin Heidelberg, 2013:789-796. Z. Cui, H. Zhang, D. Zhang, et al. Fast marching over the 2D Gabor magnitude domain for tongue body segmentation. EURASIP Journal on Advances in Signal Processing, 2013, 2013(1):1-13.（IF: 0.928） F. Wang, H. Zhang, W. Zuo, et al. Face Recognition Using Fast Neighborhood Component Analysis with Spatially Smooth Regularizer. Intelligent Science and Intelligent Data Engineering. Springer Berlin Heidelberg, 2012:450-457. F. Wang, H. Zhang, K. Wang, et al. Gabor feature-based fast neighborhood component analysis for face recognition. International Conference on Intelligent Computing. Springer Berlin Heidelberg, 2012: 266-273. I. Omara, F. Li, H. Zhang, et al. A novel geometric feature extraction method for ear recognition. Expert Systems with Applications, 2016, 65:127-135. (IF: 2.98) W. Zhang, Z. Yan, H. Zhang, et al. Joint Learning of Distance Metric and Kernel Classifier via Multiple Kernel Learning. Chinese Conference on Pattern Recognition. Springer Singapore, 2016: 586-600. S. Zheng, C. Song, H. Zhang, et al. Learning-Based Weighted Total Variation for Structure Preserving Texture Removal. Chinese Conference on Pattern Recognition. Springer Singapore, 2016: 147-160. C. Luo, M. Li, H. Zhang, et al. Metric learning with relative distance constraints: a modified SVM approach. International Conference of Young Computer Scientists, Engineers and Educators. Springer Berlin Heidelberg, 2015: 242-249. K. Zhang, X. Zhou, H. Zhang, et al. Revisiting single image super-resolution under internet environment: blur kernels and reconstruction algorithms. Pacific Rim Conference on Multimedia. Springer International Publishing, 2015: 677-687. H. Deng, D. Ren, H. Zhang, et al. A Generalized Additive Convolution Model for Efficient Deblurring of Camera Shaken Image. International Conference on Image and Graphics. Springer International Publishing, 2015: 86-99. P. Wang, S. Hou, H. Zhang, et al. Wrist Pulse Diagnosis Using Complex Network. International Conference on Medical Biometrics. 2014:15-20. D. Ren, W. Zuo, H. Zhang, et al. A Derivative Augmented Lagrangian Method for Fast Total Variation Based Image Restoration. IScIDE. 2013: 287-294. Z. Cui, W. Zuo, H. Zhang, et al. Automated Tongue Segmentation Based on 2D Gabor Filters and Fast Marching. Intelligence Science and Big Data Engineering. 2013:328-335. P. Wang, W. Zuo, H. Zhang, et al. Design and implementation of a multi-channel pulse signal acquisition system. International Conference on Biomedical Engineering and Informatics. 2012:1063-1067. H. Deng, W. Zuo, H. Zhang. Fast restoration of nonuniform blurred images. International Conference on Intelligent Science and Intelligent Data Engineering. Springer Berlin Heidelberg, 2012: 597-604. D. Zhang, P. Liu, K. Zhang, H. Zhang, et al. Class relatedness oriented-discriminative dictionary learning for multiclass image classification. Pattern Recognition, 2016, 59: 168-175. (IF: 3.39) K. Zhang, B. Wang, Zuo W., H. Zhang. Joint Learning of Multiple Regressors for Single Image Super-Resolution. IEEE Signal Processing Letters, 2016, 23(1):102-106. (IF: 1.66) F. Pan, Z. Yan, K. Zhang, H. Zhang, et al. The Effect of Quantization Setting for Image Denoising Methods: An Empirical Study. Chinese Conference on Pattern Recognition. Springer Singapore, 2016: 274-285. Hongzhi Zhang, Wangmeng Zuo, Kuanquan Wang, David Zhang. A snake-based approach to automated segmentation of tongue image using polar edge detector. International Journal of Imaging Systems and Technology. 2006, 16(4): 103-12 (SCI index: 9374006, EI index: 071110485468) Wangmeng Zuo, Hongzhi Zhang, Kuanquan Wang, and David Zhang. Post-processed LDA for face and palmprint recognition: What is the rationale. Signal Processing, 2009. (SCI index) Hongzhi Zhang, Wangmeng Zuo, Yan Chen, Kuanquan Wang, and David Zhang. TDS and Its Application in Computer Aided TCM Diagnostics Education. Education Technology and Computer Science (ETCS 10’), 2010 (3) pp: 260 - 263. (EI index) Hongzhi Zhang, Wangmeng Zuo, et al. Median Filtering-Based Quotient Image Model for Face Recognition with Varying Lighting Conditions. International Symposium on Education and Computer Science, 2009. (EI index) Hongzhi Zhang, Wangmeng Zuo, et al. Biomedical Image Processing: A Cross-discipline Course for Undergraduate Computer Science and Technology Major. The 2008 International Conference on Computer Science and Software Engineering, 2008. (EI index) Hongzhi Zhang, Wangmeng Zuo, and Kuanquan Wang, "Automated Tongue Segmentationa and Diagnosis System," The Second Harbin Institute of Technology - Korea University International Workshop. 2008. Hongzhi Zhang, Kuanquan Wang, David Zhang, Xiamu Niu, Wangmeng Zuo, Yan Chen. A theoretical analysis on nearest feature space classifier. World Scientific and Engineering Academy and Society transactions on Information Science and Applications. 2006, 3(4): 677-683 (EI index: 06139784810) Hongzhi Zhang, Kuanquan Wang, David Zhang, Bo Pang, Bo Huang. Computer Aided Tongue Diagnosis System. 27th Annual International Conference of the Engineering in Medicine and Biology Society. 2005(7): 6754-6757 (EI index: 070710425872) Hongzhi Zhang, Kuanquan Wang, David Zhang, Xuesong Jin. SVR based color calibration for tongue image. International Conference on Machine Learning and Cybernetics (ICMLC' 05). 2005: 5065-5070 (EI index: 05509539625) Dongxue Wang, Hongzhi Zhang, and Jianfeng Li. A Novel Feature Extraction Method of Toothprint on Tongue in Traditional Chinese Medicine. Accept by ICBSSP, 2010. (EI index) Lei Liu, Hongzhi Zhang, Kuanquan Wang and Wangmeng Zuo. Quasi-orthogonal Space-Time Block Codes for Four Antenna. NSWCTC 2009. (EI index) Jianfeng Li, Hongzhi Zhang, Kuanquan Wang, and Wangmeng Zuo. An automated feature extraction method for recognition of Petechia Spot in Tongue Diagnosis. BioMedical Information Engineering (FBIE 09’), 2009, pp: 69 -72. (EI index) Wangmeng Zuo, Kuanquan Wang, Hongzhi Zhang and David Zhang. Kernel Difference-Weighted k-Nearest Neighbors Classification. Book Chapter: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. Springer Berlin / Heidelberg, 2007. Jianfeng Li, Kuanquan Wang, Hongzhi Zhang, and Xiangqian Wu. A Feature Extraction Method for Recognition of Petechia Dot in Tongue Image. Information Science and Engineering (ICISE 09’). 2009, pp: 3560 - 3563. (EI index) Hao Zhu, Wangmeng Zuo, Hongzhi Zhang, et al. Exploratory tongue color analysis with manifold learning. Biomedical Engineering and Informatics (BMEI 10’), 2010 , pp: 244 – 248. (EI index) Bo Huang, David Zhang, Hongzhi Zhang, Yanlai Li, Naimin Li, “Tongue Color Visualization for Local Pixel,” ICACC 2011. Bo Huang, David Zhang, Hongzhi Zhang, Yanlai Li, Naimin Li, “Semi-Supervised Classification on “Warm or Cool” Color in Tongue Images,” ICACC 2011. Dongyu Zhang, Wangmeng Zuo, David Zhang, Hongzhi Zhang and Naimin Li. “Classification of Pulse Waveforms Using Edit Distance with Real Penalty.” EURASIP Journal on Advances in Signal Processing. 2010, pp: 1-8. (SCI：666TW, EI: 20104213297361) Wangmeng Zuo, Kuanquan Wang, David Zhang, Hongzhi Zhang. Combination of two novel LDA-based methods for face recognition. Neurocomputing. 2007, 70(4-6): 735-742 (SCI index: 9294856, EI index: 070210356867) Dongyu Zhang, Wangmeng Zuo, David Zhang, Hongzhi Zhang, and Naimin Li. “Wrist Blood Flow Signal-based Computerized Pulse Diagnosis Using Spatial and Spectrum Features.” Journal of Biomedical Science and Engineering, 3(4): 361-366, 2010. Dongyu Zhang, Wangmeng Zuo, David Zhang, Hongzhi Zhang. Time Series Classification Using Support Vector Machine with Gaussian Elastic Metric Kernel. International Conference on Pattern Recognition 2010. (ICPR’10). Lei Liu, Wangmeng Zuo, Dongyu Zhang, Hongzhi Zhang, Naimin Li. Classification of Wrist Pulse Blood Flow Signal Using Time Warp Edit Distance. International Conference on Medical Biometrics (ICMB 2010), LNCS 6165/2010, pp. 137-144.(EI：20102913083758) Bo Huang, David Zhang, Yanlai Li, Hongzhi Zhang, Naimin Li, “Tongue Coating Image Retrieval," ICACC 2011. Jianfeng Li, Jinhuan Shi, Hongzhi Zhang, Yanlai Li, Naimin Li and Changming Liu. Tongue Image Texture Segmentation Based on Gabor Filter Plus Normalized Cut. International Conference on Medical Biometrics (ICMB 2010). Wangmeng Zuo, Kuanquan Wang, David Zhang, Hongzhi Zhang. Combination of polar edge detection and active contour model for automated tongue segmentation. Proc. 3rd Int'l Conf. Image and Graphics (ICIG'04). 2004, 270-273 (EI Index: 05179059545) Wangmeng Zuo, Kuanquan Wang, David Zhang, Hongzhi Zhang. Combination of two novel LDA-based methods for face recognition. The 1st Int'l Conf. Intelligent Computing (ICIC'05). 2005.(EI index) D. Zhang, B. Pang, N.M. Li, K.Q. Wang, H.Z. Zhang. Computerized Diagnosis from Tongue Appearance Using Quantitative Feature Classification. The American Journal of Chinese Medicine. 2005, 33(6): 859–866 (SCI index) Lei Liu, Wangmeng Zuo, Zhang, D., Naimin Li, Hongzhi Zhang. Combination of Heterogeneous Features for Wrist Pulse Blood Flow Signal Diagnosis via Multiple Kernel Learning. IEEE Transactions on Information Technology in Biomedicine, Volume 16 , Issue 4, pp: 598-606 (SCI Index) B. Pang, D. Zhang, K. Wang, and H. Zhang. Computerized Tongue Diagnosis Using Belief Networks Based on Quantitative Features. The 2004 International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences (METMBS'04) Yan Chen, Qiong Li, Xiamu Niu, Hongzhi Zhang, Wangmeng Zuo. A novel nearest feature space classifier for face recognition. Proceedings of the 5th WSEAS International Conference on Signal Processing, Robotics and Automation, Madrid, Spain, 2006, pp: 225-228. (EI index) 部分专著 名称 David Zhang, Hongzhi Zhang, Bob Zhang. Tongue Image Analysis. Springer Singapore, 2017, 10.1007/978-981-10-2167-1.