唐永强

唐永强  /  

  • 职  称: 副研究员
  • 邮  编: 100190
  • 电子邮件: yongqiang.tang@ia.ac.cn
  • 部门/实验室: 多模态人工智能系统全国重点实验室
  • 通讯地址: 北京市海淀区中关村东路95号

个人简历

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

研究方向

多模态机器学习、弱监督机器学习、迁移学习

承担科研项目情况

(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

代表论著

[1] Yongqiang Tang, Yuan Xie, Wensheng Zhang. Affine subspace robust low-rank self-representation: from matrix to tensor[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023. (SCI, CCF-A, 中科院一区)
[2] Yongqiang Tang, Yuan Xie, Changqing Zhang, Zhizhong Zhang, Wensheng Zhang. One-step multiview subspace segmentation via joint skinny tensor learning and latent clustering[J]. IEEE Transactions on Cybernetics, 2021. (SCI, CCF-B, 中科院一区)
[3] Yongqiang Tang, Yuan Xie, Xuebing Yang, Jinghao Niu, Wensheng Zhang. Tensor multi-elastic kernel self-paced learning for time series clustering[J]. IEEE Transactions on Knowledge and Data Engineering, 33(3): 1223 - 1237, 2019.(SCI, CCF-A, 中科院一区)
[4] Yongqiang Tang, Xuebing Yang, Wensheng Zhang, Guoping Zhang. Radar and rain gauge merging-based precipitation estimation via geographical-temporal attention continuous conditional random field[J]. IEEE Transactions on Geoscience and Remote Sensing, 59(9): 5558-5571, 2018. (SCI, CCF-B, 中科院一区)
[5] Yongqiang Tang, Yuan Xie, Chenyang Zhang, Wensheng Zhang. Constrained tensor representation learning for multi-view semi-supervised subspace clustering[J]. IEEE Transactions on Multimedia, 2021. (SCI, 中科院一区)
[6] Yongqiang Tang, Shilei Wang, Yuxun Qu, Zhihua Cui, Wensheng Zhang. Consistency and adversarial semi-supervised learning for medical image segmentation[J]. Computers in Biology and Medicine, 2023. (SCI, 中科院一区)
[7] Yongqiang Tang, Lei Tian, Wensheng Zhang. Open set domain adaptation with latent structure discovery and kernelized classifier learning[J]. Neurocomputing, 2023. (SCI, 中科院二区)
[8] Rui Chen, Yongqiang Tang, Wensheng Zhang, Wenlong Feng. Semi-supervised progressive representation learning for deep multi-view clustering[J]. IEEE Transactions on Neural Networks and Learning Systems, 2023. (共一、通讯, SCI, 中科院一区)
[9] Lei Tian, Yongqiang Tang, Liangchen Hu, Zhida Ren, Wensheng Zhang. Domain adaptation by class centroid matching and local manifold self-learning[J]. IEEE Transactions on Image Processing, 29: 9703 – 9718, 2020. (共一, SCI, CCF-A, 中科院一区)
[10] Chang Cui, Yongqiang Tang, Wensheng Zhang. Deep survival analysis with latent clustering and contrastive learning[J]. IEEE Journal of Biomedical and Health Informatics, 2024. (共一、通讯, SCI, 中科院一区)
[11] Jingyao Ma, Chang Cui, Yongqiang Tang, Yu Hu, Shuyue Dong, Jialu Zhang, Xingjuan Xie, Jinxi Meng, Zhifa Wang, Wensheng Zhang, Zhenping Chen, Runhui Wu. Machine learning models developed and internally validated for predicting chronicity in pediatric immune thrombocytopenia. Journal of Thrombosis and Haemostasis.(共一、通讯, SCI, 中科院二区Top)
[12] Di Ai, Chang Cui, Yongqiang Tang, Yan Wang, Ningning Zhang, Chenyang Zhang, Yingzi Zhen, Gang Li, Kun Huang, Guoqing Liu, Zhenping Chen, Wensheng Zhang, Runhui Wu, Machine learning model for predicting physical activity related bleeding risk in Chinese boys with haemophilia A[J]. Thrombosis Research, 2023. (共一、通讯, SCI, 中科院三区)
[13] Rui Chen, Yongqiang Tang, Xiangrui Cai, Xiaojie Yuan, Wenlong Feng, Wensheng Zhang. Graph structure aware contrastive multi-view clustering[J]. IEEE Transactions on Big Data, 2023. (通讯, SCI, 中科院二区)
[14] Zhida Ren, Yongqiang Tang, Zewen He, Lei Tian, Yang Yang, Wensheng Zhang. Ship detection in high-resolution optical remote sensing images aided by saliency information[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022. (通讯, SCI, 中科院一区)
[15] Ruiwen Yuan, Yongqiang Tang, Yajing Wu, Wensheng Zhang. Clustering enhanced multiplex graph contrastive representation learning[J]. IEEE Transactions on Neural Networks and Learning Systems, 2023. (通讯, SCI, 中科院一区)
[16] Yajing Wu, Xuebing Yang, Yongqiang Tang, Chenyang Zhang, Guoping Zhang, Wensheng Zhang. Inductive spatiotemporal graph convolutional networks for short-term quantitative precipitation forecasting[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022. (通讯, SCI, 中科院一区)
[17] Jianxin Lin, Yongqiang Tang, Junping Wang, Wensheng Zhang. Constrained maximum cross-domain likelihood for domain generalization[J]. IEEE Transactions on Neural Networks and Learning Systems, 2023. (通讯, SCI, CCF-B, 中科院一区)
[18] Zhida Ren, Yongqiang Tang, Yang Yang, Wensheng Zhang. SASOD: Saliency-aware ship object detection in high-resolution optical images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024. (通讯, SCI, 中科院一区)
[19] Jianguo Zheng, Yongqiang Tang, Xiaoxia Peng, Jun Zhao, Rui Chen, Ruohua Yan, Yaguang Peng, Wensheng Zhang. Indirect estimation of pediatric reference interval via density graph deep embedded clustering[J]. Computers in Biology and Medicine, 2023. (通讯, SCI, 中科院一区)
[20] Rui Chen, Yongqiang Tang, Wensheng Zhang, Wenlong Feng. Adaptive-weighted deep multi-view clustering with uniform scale representation[J]. Neural Networks, 2023. (通讯, SCI, 中科院一区)
[21] Yuxun Qu, Yongqiang Tang, Xuebing Yang, Yanlong Wen, Wensheng Zhang. Context-aware mutual learning for semi-supervised human activity recognition using wearable sensors[J]. Expert Systems with Applications, 2022. (通讯, SCI, 中科院一区)
[22] Ruiwen Yuan, Yajing Wu, Yongqiang Tang, Junping Wang, Wensheng Zhang. Meta-path infomax joint structure enhancement for multiplex network representation learning[J]. Knowledge-Based Systems, 2023. (通讯, SCI, 中科院一区)
[23] Zhida Ren, Yongqiang Tang, Wensheng Zhang. IDO: Instance dual-optimization for weakly supervised object detection[J]. Applied Intelligence, 2023. (通讯, SCI, 中科院二区)
[24] Rui Chen, Yongqiang Tang, Lei Tian, Caixia Zhang, Wensheng Zhang. Deep convolutional self-paced clustering[J]. Applied Intelligence, 52:4858-4872, 2022. (通讯, SCI, 中科院二区)
[25] Rui Chen, Yongqiang Tang, Wensheng Zhang, Wenlong Feng. Deep multi-view semi-supervised clustering with sample pairwise constraints[J]. Neurocomputing, 2022. (通讯, SCI, 中科院二区)
[26] Ding Li, Yongqiang Tang, Zhizhong Zhang, Wensheng Zhang. Cross-stream contrastive learning for self-supervised skeleton-based action recognition[J]. Image and Vision Computing, 2023. (通讯, SCI, 中科院二区)
[27] Ding Li, Xuebing Yang, Yongqiang Tang, Chenyang Zhang, Wensheng Zhang. Active learning with effective scoring functions for semi-supervised temporal action localization[J]. Displays, 2023. (通讯, SCI, 中科院二区)
[28] Lei Tian, Yongqiang Tang, Wensheng Zhang. Partial domain adaptation by progressive sample learning of shared classes[J]. Neural Processing Letters, 2022. (通讯, SCI, CCF-C, 中科院三区)
[29] Yajing Wu, Yongqiang Tang, Xuebing Yang, Wensheng Zhang, Guoping Zhang. Graph convolutional regression networks for quantitative precipitation estimation[J]. IEEE Geoscience and Remote Sensing Letters, 18(7): 1124-1128, 2021. (SCI, 中科院二区)
[30] Jinghao Niu, Yongqiang Tang, Zhengya Sun, Wensheng Zhang. Inter-patient ECG classification with symbolic representations and multi-perspective convolutional neural networks[J]. IEEE Journal of Biomedical and Health Informatics, 24(5): 1321-1332, 2019. (SCI, 中科院一区)
[31] Chenyang Zhang, Yongqiang Tang, Zhizhong Zhang, Ding Li, Xuebing Yang, Wensheng Zhang. Improving domain-adaptive person re-identification by dual-alignment learning with camera-aware image generation[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2021. (SCI, CCF-B, 中科院一区)
[32] Zelin Ren, Yongqiang Tang, Wensheng Zhang, “Quality-related fault diagnosis based on k-nearest neighbor rule for non-linear industrial processes,” International Journal of Distributed Sensor Networks, 17, 2021. (SCI)
[33] Chenyang Zhang, Xuebing Yang, Yongqiang Tang, Wensheng Zhang. Learning to generate radar image sequences using two-stage generative adversarial networks[J]. IEEE Geoscience and Remote Sensing Letters, 17(3): 401 - 405, 2020. (SCI, 中科院二区)
[34] Zhizhong Zhang, Yuan Xie, Wensheng Zhang, Yongqiang Tang, Qi Tian, “Tensor multi-task learning for person re-identification,” IEEE Transactions on Image Processing, 29: 2463 - 2477, 2019. (SCI, 中科院一区)

获奖及荣誉

北京市青年人才托举工程

社会任职

中国自动化学会混合智能专委会委员