Gengyu Lyu
I am currently a Professor (and a Ph.D. Supervisor) in the Faculty of Information Technology, Beijing University of Technology (BJUT). Before joining BJUT, I received my Ph.D. degree in the School of Computer and Information Technology, Beijing Jiaotong University in 2022, where I was fortunate to be supervised by Prof. Songhe Feng.
Here is my homepage.
Research Interests
My main research interests include Machine Learning and Data Mining, especially in learning from weakly supervised multi-label data.
Selected Publications
[Google Scholar Citations Page]
GM-PLL: Graph Matching based Partial Label Learning
Gengyu Lyu, Songhe Feng, Tao Wang, Congyan Lang, Yidong Li
IEEE Transactions on Knowledge and Data Engineering, 2021, (CCF A)
Partial Multi-Label Learning via Probabilistic Graph Matching Mechanism
Gengyu Lyu, Songhe Feng, Yidong Li
ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020, (CCF A)
Beyond Shared Subspace: A View-Specific Fusion for Multi-View Multi-Label Learning
Gengyu Lyu*, Xiang Deng*, Yanan Wu, Songhe Feng
AAAI Conference on Artificial Intelligence, 2022, (CCF A)
Deep Graph Matching for Partial Label Learning
Gengyu Lyu*, Yanan Wu*, Songhe Feng
International Joint Conference on Artificial Intelligence, 2022, (CCF A)
A Self-Paced Regularization Framework for Partial Label Learning
Gengyu Lyu, Songhe Feng, Tao Wang, Congyan Lang
IEEE Transactions on Cybernetics, 2022, (CCF B，中科院一区)
Prior Knowledge Regularized Self-Representation Model for Partial Multi-Label Learning
Gengyu Lyu, Songhe Feng, Yi Jin, Tao Wang, Congyan Lang, Yidong Li
IEEE Transactions on Cybernetics (TCYB) , 2021, (CCF B，中科院一区)
Noisy Label Tolerance: A New Perspective of Partial Multi-Label Learning
Gengyu Lyu, Songhe Feng, Yidong Li
Information Sciences, 2021, (CCF B，中科院一区)
HERA: Partial Label Learning by Combining Heterogeneous Loss with Sparse and Low-rank Regularization
Gengyu Lyu, Songhe Feng, Yidong Li, Yi Jin, Guojun Dai, Congyan Lang
ACM Transactions on Intelligent Systems and Technology (ACM TIST) , 2020
Partial Label Learning via Self-Paced Curriculum Strategy
Gengyu Lyu, Songhe Feng, Yidong Li
The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) , 2020, (CCF B)
Partial Multi-Label Learning via Multi-Subspace Representation
Ziwei Li*, Gengyu Lyu*(Equal Contributions), Songhe Feng
International Joint Conference on Artificial Intelligence, 2020, (CCF A)
Partial Label Learning via Subspace Representation and Global Disambiguation
Yue Sun*, Gengyu Lyu*(Equal Contributions), Songhe Feng
The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) , 2020, (CCF B)
Global-Local Label Correlation for Partial Multi-Label Learning
Lijuan Sun, Songhe Feng, Jun Liu, Gengyu Lyu, Congyan Lang
IEEE Transactions on Multimedia (TMM) , 2020, (CCF B，中科院一区)
GM-MLIC: Graph Matching based Multi-Label Image Classification
Yanan Wu, He Liu, Songhe Feng, Yi Jin, Gengyu Lyu, Zizhang Wu
International Joint Conference on Artificial Intelligence, 2021, (CCF A)
Distance-Preserving Embedding Adaptive Bipartite Graph Multi-View Learning with Application to Multi-Label Classification
Xun Lu, Songhe Feng, Gengyu Lyu, Yi Jin, Congyan Lang
ACM Transactions on Knowledge Discovery from Data (TKDD), 2022, (CCF B)
Professional Activities
Reviewer for Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
- IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
- IEEE Transactions on Multimedia (TMM)
- IEEE Transactions on Industrial Informatics (TII)
- Information Sciences (INS)
Reviewer for Conferences
- International Conference on Learning Representations (ICLR 2022, 2023)
- International Conference on Machine Learning (ICML 2021, 2022)
- Conference on Neural Information Processing Systems (NeurIPS 2021, 2022)
- IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021, 2022)
- International Conference on Computer Vision (ICCV 2021)
- European Conference on Computer Vision (ECCV 2022)
- AAAI Conference on Artificial Intelligence (AAAI 2021, 2022, 2023)
- International Joint Conference on Artificial Intelligence (IJCAI 2022)