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
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,以及面向科学研究和农业领域的人工智能技术研究等。
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.[3] 一种畜禽疫病图像类症识别方法及装置. 2025-02-07.[4] 畜禽疫病类症图像识别方法、装置以及电子设备. 2025-03-21.[5] 视频异常检测方法、装置、电子设备及存储介质. 2024-11-21.[6] 笼养蛋鸡的行为自动监测方法、装置和电子设备. 2024-02-05.
出版信息
发表论文
(1) Semi-supervised Video Anomaly Detection With Compact Deformable 3D Convolution, Semi-supervised Video Anomaly Detection With Compact Deformable 3D Convolution, International Conference on Acoustics, Speech and Signal Processing, 2025, 第 2 作者 通讯作者(2) SUVAD: Semantic Understanding Based Video Anomaly Detection Using MLLM, SUVAD: Semantic Understanding Based Video Anomaly Detection Using MLLM, International Conference on Acoustics, Speech and Signal Processing, 2025, 第 2 作者 通讯作者(3) Region-Aware Instruction-Guided Image Editing with Attention-Weighted Feature Fusion, Region-Aware Instruction-Guided Image Editing with Attention-Weighted Feature Fusion, International Conference on Neural Information Processing, 2024, 第 2 作者 通讯作者(4) Scene-Adaptive SVAD Based OnMulti-modal Action-Based Feature Extraction, Scene-Adaptive SVAD Based OnMulti-modal Action-Based Feature Extraction, Asian Conference on Computer Vision, 2024, 第 2 作者 通讯作者(5) A Stable Long-Term Tracking Method for Group-Housed Pigs, A Stable Long-Term Tracking Method for Group-Housed Pigs, International Conference on Image and Graphics, 2023, 第 3 作者 通讯作者(6) Document Image Rectification in Complex Scene Using Stacked Siamese Networks, International Conference on Pattern Recognition, 2022, 第 3 作者(7) One-Stage Open Set Object Detection with Prototype Learning, One-Stage Open Set Object Detection with Prototype Learning, International Conference on Neural Information Processing, 2021, 第 2 作者 通讯作者(8) Learning-based Tensor Decomposition with Adaptive Rank Penalty for CNNs Compression, IEEE 4th International Conference on Multimedia Information Processing and Retrieval (MIPR), 2021, 第 2 作者(9) One-Stage Open Set Object Detection with Prototype Learning, International Conference on Neural Information Processing, 2021, 第 2 作者 通讯作者(10) Insect Recognition Under Natural Scenes Using R-FCN with Anchor Boxes Estimation, IMAGE AND GRAPHICS, ICIG 2019, PT I, 2019, 第 2 作者(11) LightweightNet: Toward fast and lightweight convolutional neural networks via architecture distillation, PATTERN RECOGNITION, 2019, 第 2 作者(12) Using High-Frequency Local Field Potentials From Multicortex to Decode Reaching and Grasping Movements in Monkey, IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2019, 第 5 作者(13) A review on multi-task metric learning, BIG DATA ANALYTICS, 2018, 第 1 作者(14) From Classification to Regression: Model Transfer for Visual Aesthetic Quality Assessment, PROCEEDINGS 2017 4TH IAPR ASIAN CONFERENCE ON PATTERN RECOGNITION (ACPR), 2017, 第 2 作者(15) Margin-Aware Binarized Weight Networks for Image Classification, IMAGE AND GRAPHICS (ICIG 2017), PT I, 2017, 第 2 作者(16) A Self-Paced Category-Aware Approach For Unsupervised Adaptation Networks, 2017 17TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM), 2017, 第 2 作者(17) GRMA: Generalized Range Move Algorithms for the Efficient Optimization of MRFs, INTERNATIONAL JOURNAL OF COMPUTER VISION, 2017, 第 3 作者(18) A Self-Paced Category-Aware Approach For Unsupervised Adaptation Networks, 2017, 第 2 作者(19) From Classification to Regression: Model Transfer for Visual Aesthetic Quality Assessment, 2017, 第 3 作者(20) A Semi-Supervised Method for Surveillance-Based Visual Location Recognition., IEEE TRANSACTIONS ON CYBERNETICS, 2017, 第 2 作者(21) FastLCD: Fast Label Coordinate Descent for the Efficient Optimization of 2D Label MRFs, INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2016, 第 2 作者(22) ReD-SFA: Relation Discovery Based Slow Feature Analysis for Trajectory Clustering, 2016 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2016, 第 4 作者(23) Adaptive Slice Representation for Human Action Classification, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2015, 第 3 作者(24) GRSA: Generalized Range Swap Algorithm for the Efficient Optimization of MRFs, 2015 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, 2015, 第 4 作者(25) Cross-Domain Object Recognition Using Object Alignment, THE26THBRITISHMACHINEVISIONCONFERENCE, 2015, 第 3 作者(26) GRSA: Generalized Range Swap Algorithm for the Efficient Optimization of MRFs, 2015 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2015, 第 3 作者(27) Combination of Classification and Clustering Results with Label Propagation, IEEE SIGNAL PROCESSING LETTERS, 2014, 第 2 作者(28) A real-time EMG pattern recognition method for virtual myoelectric hand control, NEUROCOMPUTING, 2014, 第 2 作者 通讯作者(29) Robust Object Recognition via Visual Pathway Feedback, ICPR, 2014, 第 4 作者(30) Geometry preserving multi-task metric learning, MACHINE LEARNING, 2013, 第 1 作者 通讯作者(31) A multi-task framework for metric learning with common subspace, NEURAL COMPUTING & APPLICATIONS, 2013, 第 1 作者(32) A Novel Feature Reduction Method for Real-Time EMG Pattern Recognition System, 2013 25TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2013, 第 1 作者(33) Geometry Preserving Multi-task Metric Learning, MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, 2012, 第 3 作者(34) 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), 2011, 第 2 作者
科研活动
科研项目
( 1 ) 科学计算问题智能求解器, 参与, 中国科学院计划, 2025-02--2027-01( 2 ) AI for Science重点领域研究案例与智能组件研发, 参与, 地方任务, 2023-11--2025-10( 3 ) 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( 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 ) 检疫昆虫的智能化识别算法与测试, 负责人, 境内委托项目, 2019-11--2022-11( 6 ) 短视频场景识别分析, 负责人, 境内委托项目, 2019-07--2019-12( 7 ) 入侵生物物种的智能化识别算法与测试, 负责人, 境内委托项目, 2018-04--2020-06
指导学生
已指导学生
朱彦霖 硕士研究生 081104-模式识别与智能系统
现指导学生
朱涵 硕士研究生 081104-模式识别与智能系统