基本信息

唐永强  副研究员  硕导

单位:中国科学院自动化研究所
地址: 北京市海淀区中关村东路95号
Email: yongqiang.tang@ia.ac.cn

研究领域

主要包含三个方面:

1)多模态机器学习,重点研究关联挖掘、跨模态生成、多模态表征等;

2)弱监督机器学习,重点研究无监督特征预训练,不确切监督学习,不完全监督学习等;

3)迁移学习,重点研究领域自适应、领域泛化、参数高效的微调等。

招生信息

招生专业

模式识别与智能系统(081102)

计算机应用技术(081203)

招生方向

招收计算机类、数学类专业的研究生、实习生(满足条件的本科生可优先保研)

教育背景

   
学历

2014.09--2019.07,中国科学院自动化研究所,模式识别与智能系统,博士
2010.09--2014.07,中南大学,自动化,学士


工作经历

2022.07~现在,中国科学院自动化研究所,副研究员

2019.07-2022.06,中国科学院自动化研究所,助理研究员

学术论文

在国内外权威期刊和会议上发表学术论文40余篇,其中第一作者/通讯作者SCI论文30余篇,代表性论文如下(部分论文代码已开源发布,详情见:https://www.researchgate.net/profile/Yongqiang-Tang)

  • “Affine subspace robust low-rank self-representation: from matrix to tensor,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.   (第一作者, SCI, CCF-A, 中科院一区)

  • “Tensor multi-elastic kernel self-paced learning for time series clustering,” IEEE Transactions on Knowledge and Data Engineering (TKDE), 33(3): 1223 - 1237, 2021.(第一作者, SCI, 中科院一区)

  • “One-step multi-view subspace segmentation via joint skinny tensor learning and latent clustering,” IEEE Transactions on Cybernetics (TCYB), 2021, doi: 10.1109/TCYB.2021.3053057. (第一作者, SCI, 中科院一区)

  • “Constrained tensor representation learning for multi-view semi-supervised subspace clustering,” IEEE Transactions on Multimedia (TMM), 2021, doi: 10.1109/TMM.2021.3110098. (第一作者, SCI, 中科院一区)

  • “Domain adaptation by class centroid matching and local manifold self-learning,” IEEE Transactions on Image Processing (TIP), 29: 9703 – 9718, 2020. (共同一作, SCI, CCF-A, 中科院一区)

  • “Radar and rain gauge merging-based precipitation estimation via geographical-temporal attention continuous conditional random field,” IEEE Transactions on Geoscience and Remote Sensing (TGRS), 56(9): 5558 - 5571, 2018. (第一作者, SCI, 中科院一区)

  • "Open set domain adaptation with latent structure discovery and kernelized classifier learning," Neurocomputing, 2023. (第一作者, SCI, 中科院二区)

  • "Semi-supervised progressive representation learning for deep multi-view clustering," IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023. (通讯作者, SCI,  中科院一区)

  • "Consistency and adversarial semi-supervised learning for medical image segmentation," Computers in Biology and Medicine (CIBM), 2023. (第一作者, SCI, 中科院一区)

  • “Machine learning model for predicting physical activity related bleeding risk in Chinese boys with haemophilia A,” Thrombosis Research (TR), 2023. (共一、通讯, SCI)

  • “Machine learning models developed and internally validated for predicting chronicity in pediatric immune thrombocytopenia,” Journal of Thrombosis and Haemostasis (JTH), 2023.(共一、通讯, SCI, 中科院二区)

  • “Constrained maximum cross-domain likelihood for domain generalization,” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023. (通讯作者, SCI,  中科院JCR一区)

  • “Ship detection in high-resolution optical remote sensing images aided by saliency information,” IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2022, doi: 10.1109/TGRS.2022.3159530. (通讯作者, SCI, 中科院一区)

  • “Inductive spatiotemporal graph convolutional networks for short-term quantitative precipitation forecasting,” IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2022, doi: 10.1109/TGRS.2022.3159530. (通讯作者, SCI, 中科院一区)

  • “Clustering enhanced multiplex graph contrastive representation learning,” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023. (通讯作者, SCI, 中科院一区)

  • “Graph structure aware contrastive multi-view clustering,” IEEE Transactions on Big Data (TBD), 2023. (通讯作者, SCI, 中科院二区)

  • “Indirect estimation of pediatric reference interval via density graph deep embedded clustering,” Computers in Biology and Medicine (CIBM), 2023. (通讯作者, SCI, 中科院一区)

  • “Adaptive-weighted deep multi-view clustering with uniform scale representation,” Neural Networks (NN), 2023. (通讯作者, SCI, 中科院一区)

  • "Context-aware mutual learning for semi-supervised human activity recognition using wearable sensors," Expert Systems with Applications (ESWA), 2023.   (通讯作者, SCI, 中科院一区)

  • “Meta-path infomax joint structure enhancement for multiplex network representation learning,” Knowledge-Based Systems (KBS), 2023. (通讯作者, SCI, 中科院一区)

  • “IDO: Instance dual-optimization for weakly supervised object detection,” Applied Intelligence (APIN), 2023. (通讯作者, SCI, 中科院二区)

  • "Cross-stream contrastive learning for self-supervised skeleton-based action recognition," Image and Vision Computing (IMVC), 2023. (通讯作者, SCI, 中科院二区)

  • “Active learning with effective scoring functions for semi-supervised temporal action localization,” Displays, 2023. (通讯作者, SCI, 中科院二区)

  • “Partial domain adaptation by progressive sample learning of shared classes,” Neural Processing Letters (NEPL), 2022. (通讯作者, SCI)

  • “Deep convolutional self-paced clustering,” Applied Intelligence (APIN), 52:4858-4872, 2022. (通讯作者, SCI, 中科院二区)

  • “Deep multi-view semi-supervised clustering with sample pairwise constraints,” Neurocomputing, 2022. (通讯作者, SCI, 中科院二区)

  • “Improving domain-adaptive person re-identification by dual-alignment learning with camera-aware image generation,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 31(11): 4334 – 4346, 2021. (第二作者, SCI, 中科院一区)

  • “Tensor multi-task learning for person re-identification,” IEEE Transactions on Image Processing (TIP), 29: 2463 - 2477, 2019. (第四作者, SCI, 中科院一区)

  • “Inter-patient ECG classification with symbolic representations and multi-perspective convolutional neural networks,” IEEE Journal of Biomedical and Health Informatics (JBHI), 24(5): 1321-1332, 2019. (第二作者, SCI, 中科院一区)

  • “Graph convolutional regression networks for quantitative precipitation estimation,” IEEE Geoscience and Remote Sensing Letters (GRSL), 18(7): 1124-1128, 2021. (第二作者, SCI, 中科院二区)

  •  “Learning to generate radar image sequences using two-stage generative adversarial networks,” IEEE Geoscience and Remote Sensing Letters (GRSL), 17(3): 401 - 405, 2020.  (第二作者, SCI, 中科院二区)

科研项目

(1) 肺癌影像组学多视图学习理论与算法研究,项目负责人,国家自然科学基金,2022.01-2024.12

(2) 肿瘤多学科辅助诊疗的跨模态医学影像综合分析,子课题负责人,科技创新2030-“新一代人工智能”重大项目,2020.11-2024.10

(3) 面向数据智能标注的弱监督与自学习方法及系统验证,课题负责人,广东省重点领域研发计划,2020.01-2022.12

(4) 融合地理空间数据的人物行为与事件演化,主要完成人,国家自然科学基金重点项目,2020.01-2023.12

(5) 基于位置服务分钟级降水产品加工算法优化与改造集成主要完成人,中国气象局,2019.05-2020.05

(6) 多源数值模式集合预报与订正系统,主要完成人,中国气象局,2017.09-2018.09