张小洪，博士，教授/博导 重庆大学大数据与软件学院副院长,信息物理社会可信计算与服务教育部重点实验室副主任，重庆市人工智能技术创新战略联盟秘书长，重庆市软件技术创新战略联盟副理事长,中国图象图形学会青年委员分会会员，教育部“新世纪优秀人才支持计划”获得者。主要研究方向为计算机视觉、人工智能、大数据技术、微服务技术，并在大数据智能分析、软件智能研发、短视频智能生成、服务智能推荐、大规模智能运维等领域开展应用研究，已在TPAMI、TIP、TMI、PR、PRL、JSS、IST，《电子与信息学报》，《自动化学报》，《中国图像图形学报》等期刊上先后发表和完成学术论文70多篇论文，论文它引1000余次。担任国际著名刊物PAMI, TIP, PR, IEEE Multimedia, Signal Processing, Information Sciences等审稿人，主持和主研10余项国家和省部级项目，获5项国家发明专利授权，获重庆市科技进步一等奖1项。
部分科研项目：
[1] 重庆市技术创新与应用发展专项重点项目:基于人脸识别技术的智慧社区社会实验，项目批准号：cstc2020jscx-dxwtBX0020
[2] 科技部国家重点研发计划：川渝特大城市群服务集成与治理关键技术研究与应用，科技部国家重点研发计划（项目），项目批准号：2018YFB2101200
[3] 科技部国家重点研发计划(课题):城市服务运行态势感知及优化技术，项目批准号：2018YFB2101201
[4] 重庆市科委重点产业共性关键技术创新专项：跨媒体智能计算关键技术及典型应用平台研发和示范，项目批准号：CSTC2017ZDCY-ZDZX0077.
[5] 重庆市科技计划项目:城市异构大规模服务集成与应用，项目批准号：YDZX20195000004725
[6] 重庆市科委重大专项:城市政务大数据服务集成与共享协同关键技术研究及示范，项目批准号：cstc2018jszx-cyztzxX0037
[7] 重庆市科委重大专项:医疗影响深度智能诊断平台关键技术研究及应用示范，项目批准号：cstc2018jszx-cyztzxX0017
[8] 重庆市科技计划项目重点产业共性关键技术创新专项主题专项项目:重庆市人工智能产业技术创新战略联盟体系建设与重要技术标准研究，项目批准号：cstc2017zdcy-zdzxX0003
[9] 国家自然科学基金：深度形状语义网络表示机理及其结构保留机制与判别性研究，项目批准号：61772093.
[10] 中央高校基本科研业务费跨学科类重大项目：面向视频大数据智能分析的关键技术研究，项目批准号：CDJZR12098801。
[11] 国家自然科学基金：形状的语义结构表示及其分类学习研究,项目编号:61173131
[12] 国家自然科学青年基金:非线性系统的脉冲模糊建模及其稳定性, 项目编号:60604007.
[13] 重庆市科技攻关项目:全景图像制作与基于嵌入式的漫游关键技术, 项目编号:2009AC2057.
[14] 中央高校基本科研业务费科研重点专项:形状的潜在语义结构学习及其分类研究，项目批准号：CDJZR11095501.
[15] 重庆市自然科学基金：形状特征行为分析和特征描述研究，项目批准号：：CSTS2010BB2061.
[16] 国家自然科学基金：主动视觉注意的语义认知计算模型研究，项目批准号：60975015
[17] 重庆市重点攻关项目：嵌入式WEB监控视频摘要生成及其快速浏览关键技术研究和开发，项目批准号：CSTC2009AB2230
部分学术论文：
[1] Ziliang Wang, Xiaohong Zhang*, Meng Yan, Ling Xu, Dan Yang, HSA-Net: Hidden-State-Aware Networks for High-Precision QoS Prediction, IEEE Transactions on Parallel and Distributed Systems, vol.33, no.6, pp. 1112-1125, Sep., 2022.
[2] Qiuli Wang, Xiaohong Zhang*, Wei Zhang, Mingchen Gao, Sheng Huang, Jian Wang, Jiuquan Zhang, Dan Yang, Chen Liu, Realistic Lung Nodule Synthesis With Multi-Target Co-Guided Adversarial Mechanism, IEEE Transactions on Medical Imaging, vol.40, no.9, pp. 2343-2353, Sep., 2021.
[3] Wei Chen, Qiuli Wang, Sheng Huang, Xiaohong Zhang*,etc., DFDM: A Deep Feature Decoupling Module for Lung Nodule Segmentation, ICASSP 2021 IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 1120-1124.
[4] Xiaojiang Long, Wei Chen, Qiuli Wang, Xiaohong Zhang*, etc., A Probabilistic Model for Segmentation of Ambiguous 3D Lung Nodule, ICASSP 2021 IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 1130-1134.
[5] Jingqin Li, Kun Wang, Dan Yang, Xiaohong Zhang*, etc., Deepnodule: Multi-Task Learning of Segmentation Bootstrap for Pulmonary Nodule Detection, ICASSP 2021 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.1215-1219.
[6] Bei Wang, Meng Yan, Zhongxin Liu, Ling Xu, Xin Xia, Xiaohong Zhang, etc., Quality Assurance for Automated Commit Message Generation, SANER 2021 IEEE International Conference on Software Analysis, Evolution and Reengineering, pp.260-271.
[7] Wei Chen, Qiuli Wang, Dan Yang, Xiaohong Zhang*, etc., End-to-End Multi-Task Learning for Lung Nodule Segmentation and Diagnosis, ICPR 2020 International Conference on Pattern Recognition, pp.6710-6717.
[8] Wei Chen, Qiuli Wang, Kun Wang, Dan Yang, Xiaohong Zhang*, etc., MTGAN: Mask and Texture-driven Generative Adversarial Network for Lung Nodule Segmentation, ICPR 2020 International Conference on Pattern Recognition, pp.1029-1035.
[9] Kun Yin, Meng Yan, Ling Xu, Zhou Xu, Zhao Li, Dan Yang, Xiaohong Zhang, Improving Log-Based Anomaly Detection with Component-Aware Analysis, ICSME 2020 IEEE International Conference on Software Maintenance and Evolution, pp.667-671.
[10] Kun Wang, Xiaohong Zhang*, etc., Learning to Recognize Thoracic Disease in Chest X-Rays With Knowledge-Guided Deep Zoom Neural Networks, 2020 IEEE Access, pp.159790-159805.
[11] Xingpeng Zhang, Xiaohong Zhang*, Global Learnable Pooling With Enhancing Distinctive Feature for Image Classification, 2020, IEEE Access, pp.98539-98547.
[12] Kun Wang, Xiaohong Zhang*, etc., CTF-Net: Retinal Vessel Segmentation via Deep Coarse-To-Fine Supervision Network, ISBI 2020 IEEE 17th International Symposium on Biomedical Imaging, pp.1237-1241.
[13] Xingpeng Zhang, Xiaohong Zhang*, Feature Recalibration in Deep Learning via Depthwise Squeeze and Refinement Operations, 2020 IEEE Access, pp.79046-79055.
[14] Qiuli Wang, Dan Yang, Zhihuan Li, Xiaohong Zhang*, etc., Deep Regression via Multi-Channel Multi-Modal Learning for Pneumonia Screening, 2020 IEEE Access, pp.78530-78541.
[15] Kun Wang, Xiaohong Zhang*, etc., KGZNet: Knowledge-Guided Deep Zoom Neural Networks for Thoracic Disease Classification, BIBM 2019 IEEE International Conference on Bioinformatics and Biomedicine, pp.1396-1401.
[16] Sheng Huang, Yongxin Ge, Feiyu Chen, Kewen He, Xiaohong Zhang*, Collaborative Representation Guided Graph Learning for Visual Classification, ICMEW 2019 IEEE International Conference on Multimedia & Expo Workshops, pp.573-578.
[17] Xingpeng Zhang, Sheng Huang, Xiaohong Zhang*, etc., Residual Inception: A New Module Combining Modified Residual with Inception to Improve Network Performance, ICIP 2018 IEEE International Conference on Image Processing, pp.3039-3043.
[18] Chao Liu, Dan Yang, Xin Xia, Meng Yan, Xiaohong Zhang*, Cross-Project Change-Proneness Prediction, COMPSAC 2018 IEEE 42nd Annual Computer Software and Applications Conference, pp.64-73.
[19] Xiaohong Zhang*, Ying Qu, Dan Yang, Hongxing Wang, Jeff Kymer, Laplacian Scale-Space Behavior of Planar Curve Corners, IEEE Transactions on Pattern Analysis and Machine Intelligence 2015(37)11,2207-2217.
[20] Dan Yang, Chenqiu Zhao, Xiaohong Zhang*, Sheng Huang, Background Modeling by Stability of Adaptive Features in Complex Scenes，IEEE Transactions On Image Processing, Vol. 27, No. 3, March 2018 1112-1125.
[21] Meng Yan, Xin Xia, Xiaohong Zhang*, Dan Yang, Ling Xu. "Automating Aggregation for Software Quality Modeling". 33nd International Conference on Software Maintenance and Evolution (ICSME 2017).
[22] Meng Yan, Xiaohong Zhang*, Chao Liu, Ling Xu, Mengning Yang, Dan Yang. "Automated change-prone class prediction on unlabeled dataset using unsupervised method", Information and Software Technology (IST), 92:1-16, 2017.
[23] Meng Yan, Yicheng Fang, David Lo, Xin Xia, Xiaohong Zhang*. "File-Level Defect Prediction: Unsupervised vs. Supervised Models". 11th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2017).
[24] Meng Yan, Xiaohong Zhang*, Chao Liu, Jie Zou, Ling Xu, Xin Xia. "Learning to Aggregate: An Automated Aggregation Method for Software Quality Model". 39th International Conference on Software Engineering (ICSE 2017).
[25] Meng Yan, Xiaohong Zhang*, Ling Xu, Haibo Hu, Song Sun, Xin Xia. “Revisiting the Correlation between Alerts and Software Defects-A Case Study on MyFaces, Camel, and CXF”. 41st IEEE Computer Society Signature Conference on Computers, Software and Applications (COMPSAC 2017)(CCF C类会议)
[26] Sheng Huang, Dan Yang, Yongxin Ge, Xiaohong Zhang, Discriminant Hyper-Laplacian Projections and Its Scalable Extension for Dimensionality Reduction, Neurocomputing, 2016,173: 145-153.
[27] Qianyin Huang, Xiaohong Zhang*, Sheng Huang, Dan Yang. "Sparse Graph-based Inductive Learning with its Application to Face Recognition", Journal of Electronic Imaging (JEI), 2016, 25(5):050502.
[28] Meng Yan, Xiaohong Zhang, Dan Yang, Ling Xu, Jeffrey D. Kymer. A component recommender for bug reports using Discriminative Probability Latent Semantic Analysis. In Information and Software Technology (IST Journal), 2016, 73, 37-51.
[29] Meng Yan, Ying Fu, Xiaohong Zhang*, Dan Yang, Ling Xu, Jeffrey D. Kymer. Automatically Classifying Software Changes via Discriminative Topic Model:Supporting Multi-category and Cross-project. In Journal of Systems and Software (JSS Journal), 2016, 113, 3, 296-308.
[30] Jie Zou, Ling Xu, Mengning Yang, Xiaohong Zhang, et al. Automated Duplicate Bug Report Detection using Multi-factor Analysis, IEICE Transactions on Information and Systems, 2016.
[31] Jie Zou, Ling Xu, Mengning Yang, et al. Towards comprehending the non-functional requirements through Developers' eyes: An exploration of Stack Overflow using topic analysis[J]. Information & Software Technology, 2016.
[32] Meng Yan, Mengning Yang, Chao Liu, Xiaohong Zhang. Self-learning Change-prone Class Prediction, In the 28th International Conference on Software Engineering & Knowledge Engineering (SEKE 2016), San Francisco Bay, California, USA.
[33] Yunsong Wu,Qianying Huang, Xiaohong Zhang, Chenqiu Zhao, Collaborative Sparse Preserving Projections for Feature Extraction, 2016 9th International Conference on Service Science (ICSS), Year: 2016 | Conference Paper | Publisher: IEEE.
[34] Liyun Tu,Dan Yang,Jared Vicory,Xiaohong Zhang,Stephen M. Pizer,Martin Styner, Fitting Skeletal Object Models Using Spherical Harmonics Based Template Warping, IEEE Signal Processing Letters, Year: 2015 | Volume: 22, Issue: 12 | Journal Article | Publisher: IEEE
[35] Ying Fu, Meng Yan, Xiaohong Zhang*, Ling Xu, Dan Yang, Automated Classification of Software Change Messages by Semi-supervised Latent Dirichlet Allocation, Information and Software Technology,2015(57)369-377.
[36] Sheng Huang, Dan Yang, Ge Yongxin, and Xiaohong Zhang. "Combined supervised information with PCA via discriminative component selection." Information Processing Letters (2015).
[37] Sheng Huang, Dan Yang, Jia Zhou, Luwen Huangfu, and Xiaohong Zhang. "Sparse graph-based transduction for image classification." Journal of Electronic Imaging 24, no. 2 (2015): 023007-023007.
[38] Hailin Liu, Ling Xu, Mengling Yang, Meng Yan, Xiaohong Zhang. Predicting Component Failures Using Latent Dirichlet Allocation. In Mathematical Problems in Engineering (MPE Journal), 2015.
[39] Ling Xu, Liu Hailin, Yan, Xinhua, Liao Shengping, Zhang Xiaohong. Optimization method for trajectory combination in surveillance video synopsis based on genetic algorithm[J]. Journal of Ambient Intelligence & Humanized Computing, 2015, 6(5):623-633. (SCI)
[40] Sheng Huang, Dan Yang, Jia Zhou, Lunwen Huangfu, and Xiaohong Zhang. "Sparse graph-based transduction for image classification." Journal of Electronic Imaging (JEI) 24, no. 2 (2015): 023007-023007. (SCI)
[41] Zhang Shizheng, Yang Dan, Sheng Huang, et al. "Corner detection using arc length-based angle estimator". Journal of Electronic Imaging (JEI), 2015, 24(6): 063010-063010. (SCI)
[42] Zhang Shizheng, Yang Dan, Sheng Huang, et al. "Corner detection using Chebyshev fitting-based continuous curvature estimation[J]",IET Electronics Letters, 2015, 51(24): 1988-1990. (SCI)
[43] Sheng Huang, Mingchen Gao, Dan Yang, Xiaolei Huang, Ahmed Elgammal, and Xiaohong Zhang. "Unbalanced graph-based transduction on superpixels for automatic cervigram image segmentation." In IEEE International Symposium on Biomedical Imaging(ISBI), 2015. 1556-1559. Oral Presentation, (EI)
[44] Jie Zou, Ling Xu, Weikang Guo, Meng Yan, Dan Yang, Xiaohong Zhang, Which Non-functional Requirements Do Developers Focus On? An Empirical Study on Stack Overflow Using Topic Analysis, 2015 IEEE/ACM 12th Working Conference on Mining Software Repositories, Year: 2015 | Conference Paper | Publisher: IEEE.
[45] Sheng Huang, Dan Yang, Jia Zhou, and Xiaohong Zhang. "Graph regularized linear discriminant analysis and its generalization." Pattern Analysis and Applications (2014): 1-12. (CCF-C期刊, SCI).
[46] Sheng Huang, Ahmed Elgammal, Luwen Huangfu, Dan Yang, and Xiaohong Zhang. "Globality-locality preserving projections for biometric data dimensionality reduction." IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2014, pp. 15-20.
[47] Sheng Huang, Dan Yang, Haopeng Zhang, Luwen Huangfu, and Xiaohong Zhang. "Shape primitive histogram: low-level face representation for face recognition." IET Biometrics 3, no. 4 (2014): 325-334.
[48] Yongxin Ge, Dan Yang, Xiaohong Zhang, Jiwen Lu, Improved similarity measure-based,graph embedding for face recognition,Journal of Electronic Imaging 21(1), 013002 (Jan–Mar 2012)(SCI).
[49] Peng Ma, Dan Yang, Yongxin Ge, Xiaohong Zhang and Ying Qu. Face recognition using two-dimensional non-negative principal component analysis, Journal of Electronic Imaging 21(3), 033011 (Jul–Sep 2012)(SCI).
[50] Peng Ma, Dan Yang, Yongxin Ge, Xiaohong Zhang, Ying Qu,Sheng Huang and Jiwen Lu. Robust Face Recognition via Gradient based Sparse Representation, Journal of Electronic Imaging(In press , SCI).
[51] 方蔚涛, 马鹏, 成正斌, 杨丹, 张小洪. 二维投影非负矩阵分解算法及其在人脸识别中的应用. 自动化学报, 2012,38(9): 1503-1512.
[52] X. H. Zhang*, C. L. Wang, X. L. Zhou, D. Li, D. Yang, Robust Stability Analysis of Impulsive T-S Fuzzy Systems with Parameter Uncertainties, Information Sciences, 2011(23)181,pp.5278-5290(SCI)
[53] Zhang Xiaohong*, Wang hongxing, Andrew William Smith, Xu Ling , Brian Lovell,Yang Dan, Image Corner Detection Algorithm Based on Gradient Correlation Matrix of Planar Curves, Pattern Recognition,43(2010)1207-1223. (SCI).
[54] Zhang Xiaohong*, Anmar Khadra,Yang Dan, Dong Li, Impulsive Fuzzy-model-based Controllers for Chaotic Systems with Parameter Uncertainties, Communications in Nonlinear Science and Numerical Simulation,15(2010)105-114. (SCI).
[55] Hong Zhang, Bo Li, Dan Yang. Keyframe Detection for Appearance-Based Visual SLAM. The 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2010), Taipei.(SCI, EI, ISTP)
[56] Yongxin Ge, Dan Yang, Xiaohong Zhang and Jiwen Lu. Image registration based on Subpixel Localization and Cauchy-Schwarz Divergence. SPIE Journal of Electronic Imaging ，2010（3）(SCI)
[57] 杨丹,王洪星,张小洪,闫卫杰. 轮廓曲线的LoG变换及图像共变区域的检测. 自动化学报，2010，第6期
[58] Zhang Xiaohong*, Wang Hongxing, Hong Mingjian,Xu Ling, Yang Dan, Brain Lovell, Robust Image Corner Detection Based on Scale Evolution Difference of Planar Curves, Pattern Recognition Letters . 30(2009)449-455.
[59] Zhang Xiaohong*, Li Dong, Fuzzy Modeling and Impulsive Control of Hyperchaotic Lü system, Chinese Physics B, 18(2009)1774-1779. (SCI).
[60] Zhang Xiaohong*, Anmar Khadra, Li Dong, Yang Dan, Impulsive Stability of Chaotic Systems Represented by T-S Model, Chaos, Solitions and Fractals, 41(2009)1863-1869. (SCI).
[61] Zhang Xiaohong*, Anmar Khadra,Yang Dan, Li Dong, Unified Exponential Stability and Design for Three Different Impulsive T-S Fuzzy Systems. Chaos, Solitions and Fractals, Chaos, Solitons and Fractals 42 (2009) 1559-1566.
[62] Dong Li, Shilong Wang, Xiaohong Zhang, Dan Yang, Impulsive control of uncertain Lotka-Volterra predator-prey system, Chaos, Solitons & Fractals. 41(2009)1572-1577.
[63] Dong Li, Dan Yang, Hui Wang, Xiaohong Zhang, Shilong Wang, Asymptotical stability of multi-delayed cellular neural networks with impulsive effects, Physica A: Statistical Mechanics and its Applications 388(2009)218-224. (SCI检索).
[64] 徐晓明, 杨丹, 张小洪, 基于局部不变映射的特征描述器算法，自动化学报，34（2008）1174-1177(EI核心)
[65] LI Dong, WANG Shi-Long, ZHANG Xiao-Hong, YANG Dan, WANG Hui，Fuzzy Impulsive Control of Permanent Magnet Synchronous Motors, Chinese Physics Letters 2008.25(2):401-404.(SCI).
[66] LI Dong, WANG Shi-Long,, ZHANG Xiao-Hong, YANG Dan, Impulsive control of permanent magnet synchronous motors with parameters uncertainties, Chinese Physics B, 17(2008)1678-1684. (SCI).
[67] Li Dong, Wang Hui, Zhang Xiao-Hong, Yang Dan, Wang Shi-Long, Exponential stability of multi-delayed cellular neural networks with impulsive effects, Chinese Physics B, 17(2008)4091-4099. (SCI).
[68] Zhang Xiaohong*, Lei Ming, Yang Dan, Multi-scale Curvature Product for Robust image Corner Detection in Curvature Scale Space, Pattern Recognition Letters, 28(2007)545-554.(SCI)
[69] 王玉珠, 杨丹, 张小洪, Robust Corner Detection Based on Multi-scale Curvature Product in B-spline Scale Space, 自动化学报，2007, 33 (4): 414-417
[70] Zhang Xiaohong*, X. F. Liao, C. D. Li, Impulsive control, complete and lag synchronization of unified chaotic system with continuous periodic switch, Chaos, Solitions and Fractals 2005 26 (3): 845-854. (SCI)
[71] Zhang Xiaohong*, S. B. Zhou，Chaos synchronization for bi-directional coupled two-neuron systems with discrete delays, Lect. Notes In Computer Science 3496 (2005) 351-356(SCI)
