卢杨

姓名:

卢杨

职称:

助理教授、硕士生导师

E-mail

luyang@xmu.edu.cn

研究方向:

深度学习、联邦学习、长尾学习、元学习


详细信息

    卢杨,博士,现为厦门大学信息学院计算机科学与技术系助理教授。2012年和2014年分别获得澳门大学软件工程专业本科和硕士学位(导师:唐远炎教授,IEEE Fellow)。2019年获得香港浸会大学计算机科学专业博士学位(导师:张晓明教授,IEEE Fellow)。已发表高水平论文20余篇,其中多篇论文发表在机器学习一流期刊(JCR 1区)如IEEE Transactions on Neural Networks and Learning Systems (TNNLS)和IEEE Transactions on Cybernetics (TCYB)等,以及人工智能顶级会议(CCF A类)如International Joint Conference on Artificial Intelligence (IJCAI)等。

招收硕士生和对科研感兴趣的本科生,欢迎对机器学习以及相关领域有兴趣的同学联系我。硕士生请尽量提前联系,名额较少。更多信息请查看个人主页https://jasonyanglu.github.io/

主讲课程

1.离散数学(计算机科学与技术专业本科生必修课),2020秋季至今

2.深度学习(计算机科学与技术专业研究生选修课),2020秋季至今

3.算法设计与分析A(计算机科学与技术专业本科生必修课),2021春季

在研项目

1.国家自然科学基金青年项目,面向不平衡数据的联邦学习方法研究,2021/01-2023/12,24万元,在研,主持

2.福建省自然科学基金面上项目,基于深度集成网络的复杂场景在线学习方法研究,2020/11-2023/11,7万元,在研,主持

3.之江实验室2020年第四季度开放课题,面向复杂异构数据的联邦学习方法研究,2021/01-2022/12,50万元,在研,主持

代表性论文

[ICME’22] FEDIC: Federated Learning on Non-IID and Long-Tailed Data via Calibrated Distillation Xinyi Shang, Yang Lu*, Yiu-ming Cheung, and Hanzi Wang IEEE International Conference on Multimedia and Expo, 2022, accepted. (CCF B)

[ICME’22] Dual Selection Network for Video Object Detection Tianxiang Hou, Qiang Qi, Yang Lu, Kaiwen Du, and Hanzi Wang IEEE International Conference on Multimedia and Expo, 2022, accepted. (CCF B)

[TIE’22] Motion Consistency Guided Robust Geometric Model Fitting with Severe Outliers Hanlin Guo, Yang Lu, Haosheng Chen, Hailing Luo, Guobao Xiao, Haifang Zhang, and Hanzi Wang IEEE Transactions on Industrial Electronics, vol. 69, no. 4, pp. 4065-4075, 2022. (JCR 1)

[CVPR’22] Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment Mengke Li, Yiu-ming Cheung, and Yang Lu IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022, accepted. (CCF A)

[ACMMM’21] Towards a Unified Middle Modality Learning for Visible-Infrared Person Re-IdentificationYukang Zhang, Yan Yan, Yang Lu, and Hanzi Wang ACM International Conference on Multimedia, pp. 788–796, Chengdu, China, October 20-24, 2021. (CCF A)

[ECML-PKDD’21] Small-Vote Sample Selection for Label-Noise Learning Youze Xu, Yan Yan, Jing-hao Xue, Yang Lu, and Hanzi Wang The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, pp. 729-744, Bilbao, Spain, September 13–17, 2021. (CCF B)

[TCYB’21] Self-Adaptive Multi-Prototype-based Competitive Learning Approach: A k-means-type Algorithm for Imbalanced Data Clustering Yang Lu, Yiu-ming Cheung, and Yuan Yan Tang IEEE Transactions on Cybernetics, vol. 51, no. 3, pp. 1598-1612, 2021. (JCR 1区 / CCF B)

[TNNLS’20] Bayes Imbalance Impact Index: A Measure of Class Imbalanced Dataset for Classification Problem Yang Lu, Yiu-ming Cheung, and Yuan Yan Tang IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 9, pp. 3525-3539, 2020. (JCR 1区 / CCF B)

[TNNLS’20] Adaptive Chunk-based Dynamic Weighted Majority for Imbalanced Data Streams with Concept Drift Yang Lu, Yiu-ming Cheung, and Yuan Yan Tang IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 8, pp. 2764-2778, 2020. (JCR 1区 / CCF B)

[IJCAI’17] Dynamic Weighted Majority for Incremental Learning of Imbalanced Data Streams with Concept Drift Yang Lu, Yiu-ming Cheung, and Yuan Yan Tang International Joint Conference on Artificial Intelligence, pp. 2393-2399, Melbourne, Australia, August 19-25, 2017. (CCF A)

[TNNLS’17] k-Times Markov Sampling for SVMC Bin Zou, Chen Xu, Yang Lu, Yuan Yan Tang, Jie Xu, and Xinge You IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 4, pp. 1328-1341, 2017. (JCR 1 / CCF B)

[PAKDD’16] Hybrid Sampling with Bagging for Class Imbalance Learning Yang Lu, Yiu-ming Cheung, and Yuan Yan Tang Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp. 14-26, Auckland, New Zealand, April 19-22, 2016. (CCF C)

[TGRS’15] Hyperspectral Image Classification Based on Three-Dimensional Scattering Wavelet Transform Yuan Yan Tang, Yang Lu, and Haoliang Yuan IEEE Transactions on Geoscience and Remote Sensing, vol. 53, no. 5, pp. 2467-2480, 2015. (Supervisor is the first author) (JCR 2区 / CCF B)

[TCBB’15] A Fractal Dimension and Wavelet Transform Based Method for Protein Sequence Similarity Analysis Lina Yang, Yuan Yan Tang, Yang Lu and Huiwu Luo IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 12, no. 2, pp. 348-369, 2015. (JCR 3区 / CCF B)

[TCYB’15] The Generalization Ability of SVM Classification Based on Markov Sampling Jie Xu, Yuan Yan Tang, Bin Zou, Zong Ben Xu, Luo Qing Li, Yang Lu, and Baochang Zhang IEEE Transactions on Cybernetics, vol. 45, no. 6, pp. 1169-1179, 2015. (JCR 1 / CCF B)

[TNNLS’14] The Generalization Ability of Online SVM Classification Based on Markov Sampling Jie Xu, Yuan Yan Tang, Bin Zou, Zong Ben Xu, Luo Qing Li, Yang Lu, and Baochang Zhang IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 3, pp. 628-639, 2014. (JCR 1 / CCF B)

[NN’14] Generalization performance of Gaussian kernels SVMC based on Markov sampling Jie Xu, Yuan Yan Tang, Bin Zou, Zong Ben Xu, Luo Qing Li, and Yang Lu Neural Networks, vol. 53, pp. 40-51, 2014. (JCR 2 / CCF B)

[TCYB’14] The Generalization Performance of Regularized Regression Algorithms Based on Markov Sampling Bin Zou, Yuan Yan Tang, Zong Ben Xu, Luo Qing Li, Jie Xu, and Yang Lu IEEE Transactions on Cybernetics, vol. 44, no. 9, pp. 1497-1507, 2014. (JCR 1 / CCF B)