Gengyu Lyu 吕庚育
I am currently an Associate Professor (and a Ph.D. Supervisor) in the College of Computer Science, Beijing University of Technology (BJUT), China. Before joining BJUT, I received my Ph.D. degree in the School of Computer and Information Technology, Beijing Jiaotong University (BJTU) in 2022, where I was fortunate to be supervised by Prof. Songhe Feng.
Research Interests
My main research interests include Machine Learning and Data Mining, especially in learning from weakly supervised multi-label data. I am looking for highly motivated PhD and Master students with strong mathematical or programming background. Please send your CV to my email. [中文招生主页] [实验室主页] lyugengyu AT gmail DOT com and Google Scholar Citations PageNews
- 2022.07 I joined the DMS Lab in BJUT.
Selected Publications
2024
SDformer: Transformer with Spectral Filter and Dynamic Attention for Multivariate Time Series Long-term Forecasting
Ziyu Zhou, Gengyu Lyu (Corresponding Author), Yiming Huang, Zihao Wang, Ziyu Jia, Zhen Yang
International Joint Conference on Artificial Intelligence (IJCAI), 2024: 5689-5697.
[PDF] [Codes]
Unbiased Multi-Label Learning from Crowdsourced Annotations
Mingxuan Xia, Zenan Huang, Runze Wu, Gengyu Lyu,Junbo Zhao, Gang Chen, Haobo Wang
International Conference on Machine Learning (ICML), 2024:54064-54081.
[PDF]
A Separation and Alignment Framework for Black-box Domain Adaptation
Mingxuan Xia, Junbo Zhao, Gengyu Lyu, Zenan Huang, Tianlei Hu, Gang Chen, Haobo Wang
AAAI Conference on Artificial Intelligence (AAAI), 2024: 16005-16013.
[PDF]
SURER: Structure-Adaptive Unified Graph Neural Network for Multi-view Clustering
Jing Wang, Songhe Feng, Gengyu Lyu, JiaZheng Yuan
AAAI Conference on Artificial Intelligence (AAAI), 2024: 15520-15527.
[PDF]
2023
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), 53(3):1618-1628, 2023.
[PDF]
Redundant Label Learning via Subspace Representation and Global Disambiguation
Gengyu Lyu, Songhe Feng, Wei Liu, Shuoyan Liu, Congyan Lang
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 14(1):15, 2023.
[PDF]
Prior Knowledge Constrained Adaptive Graph Framework for Partial Label Learning
Gengyu Lyu, Songhe Feng, Shaokai Wang, Zhen Yang
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 14(2):25, 2023.
[PDF]
Triple-Granularity Contrastive Learning for Deep Multi-View Subspace Clustering
Jing Wang, Songhe Feng, Gengyu Lyu, Zhibin Gu
ACM International Conference on Multimedia (ACM MM), 2023: 2994-3002. [PDF]
MetaZSCIL: A Meta-Learning Approach for Generalized Zero-Shot Class Incremental Learning
Yanan Wu, Tengfei Liang, Songhe Feng, Yi Jin, Gengyu Lyu, Haojun Fei, Yang Wang
AAAI Conference on Artificial Intelligence (AAAI), 2023: 10408-10416.
Beyond Word Embeddings: Heterogeneous Prior Knowledge Driven Multi-Label Image Classification
Xiang Deng, Songhe Feng, Gengyu Lyu, Hongzhe Liu, Yi Jin
IEEE Transactions on Multimedia (TMM), 25:4013-4025, 2023.
[PDF]
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), 17(2):19, 2023.
[PDF]
ONION: Joint Unsupervised Feature Selection and Robust Subspace Extraction for Graph-Based Multi-View Clustering
Zhibin Gu, Songhe Feng, Ruiting Hu，Gengyu Lyu
ACM Transactions on Knowledge Discovery from Data (TKDD), 17(5):70, 2023.
[PDF]
2022
A Self-Paced Regularization Framework for Partial Label Learning
Gengyu Lyu, Songhe Feng, Tao Wang, Congyan Lang
IEEE Transactions on Cybernetics (TCYB), 52(2):899-911, 2022.
[PDF]
Global-Local Label Correlation for Partial Multi-Label Learning
Lijuan Sun, Songhe Feng, Jun Liu, Gengyu Lyu, Congyan Lang
IEEE Transactions on Multimedia (TMM), 24:581-593, 2022
[PDF]
2021
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 (IJCAI), 2021:1179-1185
[PDF]
2020
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), 11(3):34, 1-19, 2020.
[PDF]
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), 2020:489-505
Partial Label Learning via Low-Rank Representation and Label Propagation
Gengyu Lyu, Songhe Feng, Wenying Huang, Guojun Dai
Soft Computing (SOCO), 24(7):5165-5176, 2020.
[PDF]
Partial Multi-Label Learning via Multi-Subspace Representation
Ziwei Li*, Gengyu Lyu*(Equal Contributions), Songhe Feng
International Joint Conference on Artificial Intelligence (IJCAI), 2020:2612-2618
[PDF]
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), 2020:439-454
Students
- Doctorate Students:
2023 : Qiuru Hai
2024 : Yuena Lin - Graduate Students:
2023 : Qiyu Zhong（TNNLS*1, 国家奖学金）, Weiqi Kang（IJCAI*1, 国家奖学金）, Bohang Sun
2024 : Hao Wei, Zhuo Li - Alumni:
2024届 : Hongdao Meng（USC，攻读硕士）, Ziyu Zhou (HKUST(GZ)，攻读硕士, IJCAI*1, 北京市优秀本科毕业设计), Zhiyuan Ma (UIUC, 转学)
Teachings
- Technologies of Weakly Supervised Machine Learning, Beijing University of Technology, Spring, (for graduate students), 2023-2024.
- Software Engineering, Beijing University of Technology, Autumn, (for undergraduate students), 2024-2025.
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 Cybernetics (TCYB)
- IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
- IEEE Transactions on Industrial Informatics (TII)
- Machine Learning (MLJ)
- Pattern Recognition (PR)
- Information Sciences (INS)
- Neurocomputing
- Chinese Journal of Electronics
- 中国科学：信息科学
- 软件学报
Reviewer for Conferences
- International Conference on Learning Representations (ICLR 2022- )
- International Conference on Machine Learning (ICML 2021- )
- Conference on Neural Information Processing Systems (NeurIPS 2021- )
- IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021- )
- International Conference on Computer Vision (ICCV 2021- )
- European Conference on Computer Vision (ECCV 2022- )
- AAAI Conference on Artificial Intelligence (AAAI 2021- )
- International Joint Conference on Artificial Intelligence (IJCAI 2022- )
- International Conference on Artificial Intelligence and Statistics (AISTATS 2025- )