陶大鹏 教授

---

教授，博导（计算机科学与技术）
联系方式：@qq.com
地址：信息学院3304




个人简介
云南大学教授博士生导师，Future Intelligent System Technology(FIST) 实验室负责人，IET学会会士，中国认知科学学会认知与类脑专委会委员，中国科学院深圳先进技术研究院客座研究员，中国科学院大学博导。现任国际SCI一区刊物IEEE Internet of Things和Neurocomputing(Elsevier)编委。担任IEEE ICTAI、IEEE SMC、ICDM、AAAI程序委员会委员。担任IEEE T-PAMI、T-NNLS、T-IP、T-CYB、T-MM、T-CSVT等十多家国际学术期刊的特约审稿人和客座编辑。
目前主要从事人工智能、大数据、机器人等领域的研究工作。共发表SCI检索源刊100多篇，其中第一作者和通讯作者在SCI JCR1区发表论文超过50篇（其中包括IEEE汇刊T-IP(IF：9.34)、T-NNLS(IF：8.793)、T-GRS(IF：5.855)、T-MM(IF：6.051)、T-IFS(IF：6.013)、T-CSVT(IF：4.133)等）。ESI高被引论文收录论文总计14篇，其中ESI Hot paper 1篇，研究成果获得国际论文奖2项。2021年入选爱思唯尔中国高被引****。
主持包括国家自然科学基金面上项目、云南省重点研发计划、云南省科技厅-云南大学联合基金、广东省自然科学基金、深圳市基础研究计划重点项目等在内的科研项目10余项。已获省部级奖励8项，2020年获云南省科学技术奖（自然科学）二等奖，2017年获得教育部高等学校科学研究优秀成果奖（自然科学）二等奖，2016年获得广东省科学技术奖（技术进步）二等奖，2015年度陕西省科学技术奖（自然科学）一等奖。


研究方向
机器学习与视觉感知： 目标检测、目标跟踪、图像识别、语义理解、图像修复
机器人控制与导航： 机械设计、嵌入式开发、定位、SLAM
系统仿真： 数字仿真、半实物仿真、数字孪生
软件开发： 软件工程、数据库设计、系统集成
学科竞赛 全国大学生机器人大赛RoboMaster是由共青团中央、全国学联、深圳市人民政府联合主办的赛事，作为教育部认定的重要学科竞赛，得到了国内外知名高校的广泛关注。FIST实验室在云南大学信息学院支持下筹备并建设了云南大学Future机器人战队，现已形成了以研究生为领队，高年级本科生为主干力量，低年级本科生为后备人才的学科竞赛团体。迄今为止，战队已代表云南大学参加RM2018、RM2019、RM 2020三届赛事，累计荣获国家级、省级竞赛奖励150余项。

成果转化 面向工业制造柔性分拣需求，研究团队结合图像检测、定位和姿态估计等技术设计了一套智能视觉分拣抓取系统。该系统实现了工业级快速抓取微小零件的能力。目前，研究成果已成功应用于深圳优必选科技股份有限公司积木零件分拣生产线。

代表论文 [1]W.Wu,D.Tao*, H.Li, Z.Yang, J.Cheng: Deep features for person re-identification on metric learning.Pattern Recognition.110:107424(2021)(IF=7.196)
[2]H.Li, Y.Chen,D.Tao*, Z.Yu*, G.Qi:Attribute-Aligned Domain-Invariant Feature Learning for Unsupervised Domain Adaptation Person Re-Identification.IEEE Transactions on Information Forensics and Security.16:1480-1494(2021)(IF=6.013)
[3]K.Zhu, R.Wang, Q.Zhao, J.Cheng*,D.Tao*:A Cuboid CNN Model with an Attention Mechanism for Skeleton-Based Action Recognition.IEEE Transactions on Multimedia. 22(4):885-896(2020)(IF=6.051)
[4]M.Meng, M.Lan, J.Yu, J.Wu*,D.Tao:Constrained Discriminative Projection Learning for Image Classification.IEEE Transactions Image Processing. 29:186-198(2020)(IF=9.340)
[5]C.Deng, X.Yang, F.Nie,D.Tao*:Saliency Detection via a Multiple Self-Weighted Graph-Based Manifold Ranking.IEEE Transactions on Multimedia. 22(4):885-896(2020)(IF=6.051)
[6]H.Li, S.Yan, Z.Yu*,D.Tao*:Attribute-Identity Embedding and Self-Supervised Learning for Scalable Person Re-Identification.IEEE Transactions on Circuits and Systems for Video Technology. 30(10):3472-3485 (2020)(IF=5.514)
[7]Z.Ma, J.Cheng*,D.Tao:Online learning using projections onto shrinkage closed balls for adaptive brain-computer interface.Pattern Recognition. 97(2020)(IF=7.196)
[8]S.Fu, W.Liu*,D.Tao, Y.Zhou, L.Nie:HesGCN: Hessian graph convolutional networks for semi-supervised classification.Information Sciences, vol. 514, pp. 484-498(2020)(IF=7.454)
[9]H.Li, Y.Wang*, Z.Yang, R.Wang, X.Li,D.Tao*:Discriminative Dictionary Learning-Based Multiple Component Decomposition for Detail-Preserving Noisy Image Fusion.IEEE Transactions on Instrumentation and Measurement.69(4):1082-1102(2020)(IF=3.658)
[10]D.Tao*, J.Cheng*, Z.Yu, K.Yue, L.Wang:Domain-Weighted Majority Voting for Crowdsourcing.IEEETransactions on Neural Network and Learning Systems. 30(1):163-174(2019)(IF=8.793)
[11]X.Ma, W.Liu*, S.Li,D.Tao, Y.Zhou*:Hypergraph p-Laplacian Regularization for Remotely Sensed Image Recognition.IEEE Transactions on Geoscience and Remote Sensing. 57(3):1585-1595(2019)(IF=6.672)
[12]W.liu*, X.Ma, Y.Zhou*,D.Tao, J.Cheng:p-Laplacian Regularization for Scene Recognition.IEEE Transactions on Cybernetics. 49(8):2927-2940(2019)(IF=11.079)
[13]J.Lei, Q.Luan, X.Song, X.Liu,D.Tao, M.Song*:Action Parsing-Driven Video Summarization Based on Reinforcement Learning.IEEE Transactions on Circuits and Systems for Video Technology. 29(7):2126-2137 (2019)(IF=5.514)
[14]L.Zhou, G.Du, R.Wang,D.Tao*, L.Wang, J.Cheng*, J.Wang:A tensor framework for geosensor data forecasting of significant societal events.Pattern Recognition. 88:27-37(2019)(IF=7.196）
[15]H.Li, J.Xu, J.Zhu,D.Tao*, Z.Yu:Top distance regularized projection and dictionary learning for person re-identification.Information Sciences, vol. 502, pp. 472-491(2019)(IF=7.454）
[16]X.Ma, W.Liu*,D.Tao, Y.Zhou:Ensemble p-Laplacian Regularization for Scene Image Recognition.Cognitive Computation, vol. 11, no. 6, pp. 841-854(2019)(IF=5.47)
[17]D.Tao*, Y.Guo, Y.Li, X.Gao*:Tensor Rank Preserving Discriminant Analysis for Facial Recognition.IEEE Transactions Image Processing. 27(1):325-334(2018)(IF=9.340)
[18]D.Tao*, Y.Guo, B.Yu, J.Pang, Z.Yu:Deep Multi-View Feature Learning for Person Re-Identification.IEEE Transactions on Circuits and Systems for Video Technology. 28(10):2657-2666(2018)(IF=5.514)
[19]H.Li, X.He,D.Tao*, Y.Tang, R.Wang:Joint medical image fusion, denoising and enhancement via discriminative low-rank sparse dictionaries learning.Pattern Recognition. 79:130-146(2018)(IF=7.196）
[20]W.Liu*, L.Zhang,D.Tao, J.Cheng:Reinforcement online learning for emotion prediction by using physiological signals,”Pattern Recognition Letters, vol. 107, pp. 123-130(2018)(IF=4.758)
[21]D.Tao*, J. Cheng, X. Gao, X. Lin, and C. Deng: Robust Sparse Coding for Mobile Image Labeling on the Cloud.IEEE Transactions on Circuits and Systems for Video Technology,vol. 27, no. 1, pp. 62-72(2017)(IF=5.514)
[22]D.Tao*, X. Lin, and X. Gao: Large Sparse Cone Non-negative Matrix Factorization for Image Annotation.ACM Transactions on Intelligent Systems and Technology, vol.8, no.3, pp. 37:1-37:21(2017)(IF=2.672)
[23]Y.Guo,D.Tao*, W. Liu, and J. Cheng. Multiview Cauchy Estimator Feature Embedding for Depth and Inertial Sensor-Based Human Action Recognition.IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 47, no. 4, pp. 617-627(2017)(IF=9.309)
[24]Y.Yang, C. Deng,D.Tao*, S. Zhang, W. Liu,and X. Gao: Latent Max-Margin Multitask Learning with Skelets for 3D Action Recognition.IEEE Transactions on Cybernetics,vol. 47, no. 2, pp.439-448(2017)(IF=11.079)
[25]Y.Wang,Z. Wang,D.Tao*,S. Zhuo, X. Xu,S. Pu,and M. Song: AllFocus: Patch-Based Video Out-of-Focus Blur Reconstruction.IEEE Transactions on Circuits and Systems for Video Technology,vol. 27, no. 9, pp. 1895-1908(2017)(IF=5.514)
[26]R. Hong*, L. Li, J. Cai,D.Tao, M. Wang, Q. Tian: Coherent Semantic-Visual Indexing for Large-Scale Image Retrieval in the Cloud.IEEE Transactions on Image Processing, vol. 26, no. 9, pp. 4128-4138(2017)(IF=9.340)
[27]Y.Yang, C. Deng, S. Gao, W. Liu,D.Tao, and X. Gao: Discriminative Multi-instance Multitask Learning for 3D Action Recognition.IEEE Transactions on Multimedia, vol. 19, no. 3, pp.519-529(2017)(IF=6.051)
[28]X. Yang, W. Liu*,D.Tao, J. Cheng, S. Li: Multiview Canonical Correlation Analysis Networks for Remote Sensing Image Recognition.IEEE Geoscience Remote Sensing Letter, vol. 14, no. 10, pp. 1855-1859(2017)（IF=4.667）
[29]X. Yang, W. Liu*,D.Tao*, J. Cheng: Canonical correlation analysis networks for two-view image recognition.Information Sciences, vol. 385, pp.338-352(2017)(IF=7.454)
[30]X. Ji, J. Cheng*,D.Tao, X. Wu, W. Feng: The spatial Laplacian and temporal energy pyramid representation for human action recognition using depth sequences.Knowledge-Based Systems, vol. 122, pp. 64-74(2017)(IF=7.807)
[31]D.Tao, L.Jin, Y.Yuan, Y.Xue:Ensemble Manifold Rank Preserving for Acceleration-based Human Activity Recognition.IEEETransactions on Neural Networks and Learning Systems, vol. 27, no. 6, pp. 1392-1404(2016)(IF=8.793)
[32]Y.Guo,D.Tao*, J.Cheng, A.D, Y.Li, K.Yue, B.Zhang: Tensor Manifold Discriminant Projections for Acceleration-Based Human Activity Recognition.IEEE Transactions on Multimedia, vol. 18, no. 10, pp. 1-11(2016)(IF=6.051)
[33]D.Tao*, Y.Guo, M.Song, Y.Li, Z.Yu, Y.Tang: Person Re-Identification by Dual-Regularized KISS Metric Learning.IEEE Transactions on Image Processing, vol. 25, no. 6, pp. 2726-2738(2016)(IF=9.340)
[34]D.Tao*, X.Lin, L.Jin, X.Li: Principal Component 2-Dimensional Long Short-Term Memory for Font Recognition on Single Chinese Characters.IEEE Transactions on Cybernetics, vol. 46, no. 3 pp. 756-765(2016)(IF=11.079)