师资队伍

吕庚育

电话:

E-mail:lyugengyu@bjut.edu.cn

通讯地址:

在机器学习和数据挖掘领域国际知名期刊和学术会议发表论文30余篇,包括IEEE/ACM汇刊12篇和CCF A类学术会议14篇。最新学术成果如下:

[1] “Common-Individual Semantic Fusion for Multi-View Multi-Label Learning”. International Joint Conference on Artificial Intelligence (IJCAI). 2024 (CCF A)

[2] “SDformer: Transformer with Spectral Filter and Dynamic Attention for Multivariate Time Series Long-term Forecasting”. International Joint Conference on Artificial Intelligence (IJCAI). 2024 (CCF A)

[3] “Align while Fusion: A Generalized Non-Aligned Multi-View Multi-Label Classification Method”. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). 2024 (CCF B类,中科院一区)

[4] “L-VSM: Label Driven View-Specific Fusion for Multi-View Multi-Label Classification”. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). 2024 (CCF B类,中科院一区)

[5] “Unbiased Multi-Label Learning from Crowdsourced Annotations”. International Conference on Machine Learning (ICML). 2024 (CCF A)

[6] “SURER: Structure-Adaptive Unified Graph Neural Network for Multi-view Clustering”. AAAI Conference on Artificial Intelligence (AAAI). 2024 (CCF A)

[7] “A Separation and Alignment Framework for Black-box Domain Adaptation”. AAAI Conference on Artificial Intelligence (AAAI). 2024 (CCF A)

其他学术论文请参看谷歌学术DBLP


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