基本信息
杨沛沛  男  硕导  中国科学院自动化研究所
电子邮件: ppyang@nlpr.ia.ac.cn
通信地址: 北京市海淀区中关村东路95号智能化大厦
邮政编码: 100190

研究领域

研究领域为机器学习、模式识别、计算机视觉的相关方向,主要兴趣包括异常检测、迁移学习、多任务学习,以及面向农业领域的计算机视觉研究等。

教育背景

2010-09--2013-06   中国科学院自动化研究所   博士
2007-09--2009-06   华中科技大学   硕士
2003-09--2007-06   浙江大学   学士

工作经历

   
工作简历
2016-11~现在, 中国科学院自动化研究所, 副研究员
2013-07~2016-10,中国科学院自动化研究所, 助理研究员
2009-07~2010-07,上海炬力集成电路设计有限公司, 系统工程师
社会兼职
2017-12-31-2021-03-30,图象图形学学会国际交流与合作委员会, 秘书长

教授课程

模式识别与机器学习

专利与奖励

   
专利成果
[1] 杨沛沛, 刘成林, 朱彦霖. 基于前景子空间的开放集目标检测方法和装置. 202310109841.5, 2023-02-14.

[2] 黄凯奇, 杨沛沛, 黄文振. 图像美感评估方法及装置. CN: CN107481218A, 2017-12-15.

出版信息

   
发表论文
[1] Zheng Xu, Fei Yin, Peipei Yang, Cheng-Lin Liu. Document Image Rectification in Complex Scene Using Stacked Siamese Networks. International Conference on Pattern Recognitionnull. 2022, [2] Pang, HongWei, Yang, Peipei, Chen, Xiaolin, Wang, Yong, Liu, ChengLin. Insect Recognition Under Natural Scenes Using R-FCN with Anchor Boxes Estimation. IMAGE AND GRAPHICS, ICIG 2019, PT Inull. 2019, 11901: 689-701, [3] Xu, TingBing, Yang, Peipei, Zhang, XuYao, Liu, ChengLin. LightweightNet: Toward fast and lightweight convolutional neural networks via architecture distillation. PATTERN RECOGNITION[J]. 2019, 88: 272-284, http://ir.ia.ac.cn/handle/173211/25265.
[4] Zhang, Peng, Huang, Jian, Li, Wei, Ma, Xuan, Yang, Peipei, Dai, Jun, He, Jiping. Using High-Frequency Local Field Potentials From Multicortex to Decode Reaching and Grasping Movements in Monkey. IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS[J]. 2019, 11(2): 270-280, https://www.webofscience.com/wos/woscc/full-record/WOS:000471119200012.
[5] Peipei Yang, Kaizhu Huang, Amir Hussain. A review on multi-task metric learning. BIG DATA ANALYTICS[J]. 2018, 3(1): 1-23, https://doaj.org/article/6bbb4b0a3634412b982134afd12d1c12.
[6] Huang Wenzhen, Yang Peipei, Huang Kaiqi, IEEE. From Classification to Regression: Model Transfer for Visual Aesthetic Quality Assessment. PROCEEDINGS 2017 4TH IAPR ASIAN CONFERENCE ON PATTERN RECOGNITION (ACPR)null. 2017, 304-309, http://dx.doi.org/10.1109/ACPR.2017.127.
[7] Xu, TingBing, Yang, Peipei, Zhang, XuYao, Liu, ChengLin, Zhao, Y, Kong, X, Taubman, D. Margin-Aware Binarized Weight Networks for Image Classification. IMAGE AND GRAPHICS (ICIG 2017), PT Inull. 2017, 10666: 590-601, [8] Huang, Wenzhen, Yang, Peipei, Huang, Kaiqi, Raghavan, V, Aluru, S, Karypis, G, Miele, L, Wu, X. A Self-Paced Category-Aware Approach For Unsupervised Adaptation Networks. 2017 17TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM)null. 2017, 919-924, [9] Liu, Kangwei, Zhang, Junge, Yang, Peipei, Maybank, Stephen, Huang, Kaiqi. GRMA: Generalized Range Move Algorithms for the Efficient Optimization of MRFs. INTERNATIONAL JOURNAL OF COMPUTER VISION[J]. 2017, 121(3): 365-390, https://www.webofscience.com/wos/woscc/full-record/WOS:000394270600003.
[10] Huang Wenzhen, Yang Peipei, Huang Kaiqi. A Self-Paced Category-Aware Approach For Unsupervised Adaptation Networks. 2017, http://ir.ia.ac.cn/handle/173211/20042.
[11] 黄凯奇, 黄文振, 杨沛沛. From Classification to Regression: Model Transfer for Visual Aesthetic Quality Assessment. 2017, http://ir.ia.ac.cn/handle/173211/19828.
[12] Liu, Pengcheng, Yang, Peipei, Wang, Chong, Huang, Kaiqi, Tan, Tieniu. A Semi-Supervised Method for Surveillance-Based Visual Location Recognition. IEEE TRANSACTIONS ON CYBERNETICS[J]. 2017, 47(11): 3719-3732, https://www.webofscience.com/wos/woscc/full-record/WOS:000413003100020.
[13] Huang Kaiqi, Yang Peipei, Zhang Junge, Liu Kangwei, Huang Kaiqi. FastLCD: Fast Label Coordinate Descent for the Efficient Optimization of 2D Label MRFs. INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCEnull. 2016, http://ir.ia.ac.cn/handle/173211/11830.
[14] Zhang, Zhang, Huang, Kaiqi, Tan, Tieniu, Yang, Peipei, Li, Jun, IEEE. ReD-SFA: Relation Discovery Based Slow Feature Analysis for Trajectory Clustering. 2016 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)null. 2016, 752-760, [15] Shan, Yanhu, Zhang, Zhang, Yang, Peipei, Huang, Kaiqi. Adaptive Slice Representation for Human Action Classification. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY[J]. 2015, 25(10): 1624-1636, http://dx.doi.org/10.1109/TCSVT.2014.2376136.
[16] Liu Kangwei, Huang Kaiqi, Huang Kaiqi, Yang Peipei, Zhang Junge. GRSA: Generalized Range Swap Algorithm for the Efficient Optimization of MRFs. 2015 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITIONnull. 2015, http://ir.ia.ac.cn/handle/173211/11828.
[17] Liu Pengcheng, Wang Chong, Yang Peipei, Huang Kaiqi, Tan Tieniu. Cross-Domain Object Recognition Using Object Alignment. THE26THBRITISHMACHINEVISIONCONFERENCEnull. 2015, http://ir.ia.ac.cn/handle/173211/10553.
[18] Liu Kangwei, Zhang Junge, Yang Peipei, Huang Kaiqi, IEEE. GRSA: Generalized Range Swap Algorithm for the Efficient Optimization of MRFs. 2015 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)null. 2015, 1761-1769, [19] Zhang, XuYao, Yang, Peipei, Zhang, YanMing, Huang, Kaizhu, Liu, ChengLin. Combination of Classification and Clustering Results with Label Propagation. IEEE SIGNAL PROCESSING LETTERS[J]. 2014, 21(5): 610-614, https://www.webofscience.com/wos/woscc/full-record/WOS:000333535900003.
[20] Xing, Kexin, Yang, Peipei, Huang, Jian, Wang, Yongji, Zhu, Quanmin. A real-time EMG pattern recognition method for virtual myoelectric hand control. NEUROCOMPUTING[J]. 2014, 136: 345-355, http://dx.doi.org/10.1016/j.neucom.2013.12.010.
[21] Junge Zhang, Chong Wang, Kaiqi Huang, Peipei Yang. Robust Object Recognition via Visual Pathway Feedback. ICPRnull. 2014, http://ir.ia.ac.cn/handle/173211/12430.
[22] Yang, Peipei, Huang, Kaizhu, Liu, ChengLin. Geometry preserving multi-task metric learning. MACHINE LEARNING[J]. 2013, 92(1): 133-175, https://www.webofscience.com/wos/woscc/full-record/WOS:000321273100006.
[23] Yang, Peipei, Huang, Kaizhu, Liu, ChengLin. A multi-task framework for metric learning with common subspace. NEURAL COMPUTING & APPLICATIONS[J]. 2013, 22(7-8): 1337-1347, https://www.webofscience.com/wos/woscc/full-record/WOS:000319769300010.
[24] Yang Peipei, Xing Kexin, Huang Jian, Wang Yongji. A Novel Feature Reduction Method for Real-Time EMG Pattern Recognition System. 2013 25TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC)null. 2013, [[[1500-1505]]], [25] Liu ChengLin, Huang Kaizhu, Yang Peipei. Geometry Preserving Multi-task Metric Learning. MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASESnull. 2012, http://ir.ia.ac.cn/handle/173211/12500.
[26] Liu ChengLin, Yang Peipei. Multi-task low-rank metric learning based on common subspace. LECTURE NOTES IN COMPUTER SCIENCE (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS)null. 2011, 151-159, http://ir.ia.ac.cn/handle/173211/4346.

科研活动

   
科研项目
( 1 ) 入侵生物物种的智能化识别算法与测试, 负责人, 企业委托, 2018-04--2020-06
( 2 ) 检疫昆虫的智能化识别算法与测试, 负责人, 企业委托, 2019-11--2022-11
( 3 ) 短视频场景识别分析, 负责人, 企业委托, 2019-07--2019-12
( 4 ) 场景感知的多语种文字识别技术, 负责人, 国家任务, 2020-11--2023-10
( 5 ) 面向典型畜禽疫病的知识推理与诊断方法, 负责人, 国家任务, 2021-12--2024-11