![]()
卢杨
-
副教授
博士生导师
硕士生导师
- 教师英文名称：Yang Lu
- 电子邮箱：luyang@xmu.edu.cn
- 所在单位：信息学院
- 职务：副处长
- 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
- 主要任职：科学技术处
- 毕业院校：香港浸会大学
- 学科：计算机科学与技术
- 2025当选：省高端人才
- 2026-04曾获荣誉当选：ACM厦门分会新星奖
- 2023-11曾获荣誉当选：小米青年学者
访问量：
-
[51]卢杨(教师),Label-Noise Learning via Uncertainty-Aware Neighborhood Sample Selection.Pattern Recognition Letters,2024,186191-197.
-
[52]卢杨,Adaptive Chunk-Based Dynamic Weighted Majority for Imbalanced Data Streams With Concept Drift.IEEE Transactions on Neural Networks and Learning Systems,2019,31(8):2764-2778.
-
[53]卢杨,Bayes Imbalance Impact Index: A Measure of Class Imbalanced Data Set for Classification Problem.IEEE Transactions on Neural Networks and Learning Systems,2019,31(9):3525-3539.
-
[54]卢杨.Towards a Unified Middle Modality Learning for Visible-Infrared Person Re-Identification.MM 2021 - Proceedings of the 29th ACM International Conference on Multimedia,2021,788-796.
-
[55]卢杨.Long-tailed visual recognition via gaussian clouded logit adjustment.TechRxiv,2021,
-
[56]严严,卢杨.Drop Loss for Person Attribute Recognition With Imbalanced Noisy-Labeled Samples.IEEE TRANSACTIONS ON CYBERNETICS,2021,1-14.
-
[57]卢杨.Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features.arXiv,2022,
-
[58]卢杨.FEDIC: FEDERATED LEARNING ON NON-IID AND LONG-TAILED DATA VIA CALIBRATED DISTILLATION.arXiv,2022,
-
[59]卢杨.Combating Noisy-Labeled and Imbalanced Data by Two Stage Bi-Dimensional Sample Selection.arXiv,2022,
-
[60]卢杨.Federated Semi-Supervised Learning with Annotation Heterogeneity.arXiv,2023,
