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卢杨
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助理教授
硕士生导师
- 教师英文名称：Yang Lu
- 出生日期：1990-04-25
- 电子邮箱：be24649b272ba1500754558913d4a2ab3459a91a62977fb0566a2b05f47889185c888486a6b8c31155e4d85e36f100fb66271c10a01603c5a9dfd6bfe82e1524555326f68bb45852f72bb926bfcab19ee789f14dc1047678b31c52fb4da25eb7ce1830e5686cbc4df5e1dd19acc6b7dcddfc07eff254bc5748cbaf89ed40d84a
- 入职时间：2019-12-10
- 所在单位：信息学院
- 学历：博士研究生毕业
- 性别：男
- 学位：哲学博士学位
- 在职信息：在职
- 毕业院校：香港浸会大学
- 学科：计算机科学与技术
访问量：
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[11]卢杨.Few-shot Action Recognition via Multi-view Representation Learning.IEEE Transactions on Circuits and Systems for Video Technology,1-1.
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[12]卢杨.Combating Label Noise by Uncertainty-Aware Neighborhood Sample Selection.SSRN,2024,
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[13]卢杨,Federated learning on non-IID and globally long-tailed data via meta re-weighting networks.INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING,2024,
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[14]卢杨.Frequency Domain Nuances Mining for Visible-Infrared Person Re-identification.arXiv,2024,
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[15]卢杨.Learning to Reconnect Interrupted Trajectories for Weakly Supervised Multi-Object Tracking.ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,2023-June
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[16]卢杨.Feature Fusion from Head to Tail: an Extreme Augmenting Strategy for Long-Tailed Visual Recognition.arXiv,2023,
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[17]卢杨,Unsupervised Concept Drift Detection via Imbalanced Cluster Discriminator Learning.Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),14427 LNCS31-43.
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[18]卢杨,DeCAB: Debiased Semi-supervised Learning for Imbalanced Open-Set Data.Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),14433 LNCS104-119.
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[19]卢杨,An Effective Visible-Infrared Person Re-identification Network Based on Second-Order Attention and Mixed Intermediate Modality.PATTERN RECOGNITION AND COMPUTER VISION, PRCV 2023, PT IX,14433120-132.
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[20]卢杨,Cascaded-Scoring Tracklet Matching for Multi-object Tracking.Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),14434 LNCS161-173.
