Gengyu Lyu 吕庚育
I am currently a 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. [招生要求] lyugengyu AT gmail DOT com and Google Scholar Citations Page![[招生要求]](assets/images/APP.png){kind=link}
News
- 2022.07 I joined the DMS Lab in BJUT.
Students
- Doctorate Students:
2023 : Qiuru Hai (AAAI*1)
2024 : Yuena Lin (ICLR*1)
- Graduate Students:
2023 : Qiyu Zhong（国家奖学金, TNNLS*1）, Weiqi Kang（国家奖学金/小米奖学金, IJCAI*1）, Bohang Sun (AAAI*2)
2024 : Hao Wei (AAAI*1), Zhuo Li
- Undergraduate Students:
Yiyuan Wang（2021, ICLR*1 [co-first author]）, Weiqiang Luo (2022), Yi Shan (2023, 国创负责人*1), Liwen Yang (2024), Xiangning Zeng (2024)
- Alumni:
2024届 : Hongdao Meng（NYU, TBD*1）, Ziyu Zhou (HKUST(GZ), IJCAI*1, 北京市优秀本科毕业设计), Zhiyuan Ma (UIUC)
Selected Publications
2025
Federated Multi-View Multi-Label Classification
Hongdao Meng, Yongjian Deng, Qiyu Zhong, Yipeng Wang, Zhen Yang, Gengyu Lyu
IEEE Transactions on Big Data (TBD), 2025.
[PDF] (CCF C, 课题组本科生一作)
Know Where You Are From: Event-Based Segmentation via Spatio-Temporal Propagation
Ke Li, Gengyu Lyu, Hao Chen, Bochen Xie, Zhen Yang, Youfu Li, Yongjian Deng
AAAI Conference on Artificial Intelligence (AAAI), 2025. (CCF A)
ESEG: Event-Based Segmentation Boosted by Explicit Edge-Semantic Guidance
Yucheng Zhao, Gengyu Lyu, Ke Li, Zihao Wang, Hao Chen, Zhen Yang, Yongjian Deng
AAAI Conference on Artificial Intelligence (AAAI), 2025. (CCF A)
MSV-PCT: Multi-Sparse-View Enhanced Transformer Framework for Salient Object Detection in Point Clouds
Zihao Wang, Yiming Huang, Gengyu Lyu, Yucheng Zhao, Ziyu Zhou, Bochen Xie, Zhen Yang, Yongjian Deng
AAAI Conference on Artificial Intelligence (AAAI), 2025. (CCF A)
Multi-Instance Multi-Label Classification from Crowdsourced Labels
Ziquan Wang, Mingxuan Xia, Xiangyu Ren, Jiaqing Zhou, Gengyu Lyu, Tianlei Hu, Haobo Wang
AAAI Conference on Artificial Intelligence (AAAI), 2025. (CCF A)
2024
SDformer: Transformer with Spectral Filter and Dynamic Attention for Multivariate Time Series Long-term Forecasting
Ziyu Zhou, Gengyu Lyu , Yiming Huang, Zihao Wang, Ziyu Jia, Zhen Yang
International Joint Conference on Artificial Intelligence (IJCAI), 2024: 5689-5697.
[PDF] [Codes] (CCF A, 课题组本科生一作)
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] (CCF A)
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] (CCF A)
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] (CCF A)
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] (CCF B)
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] (CCF A)
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. [PDF] (CCF A)
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] (CCF B)
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] (CCF B)
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] (CCF B)
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] (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), 24:581-593, 2022
[PDF] (CCF B)
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] (CCF A)
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 (ECML-PKDD), 2020:489-505
[PDF] (CCF B)
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] (CCF C)
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] (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 (ECML-PKDD), 2020:439-454
[PDF] (CCF B)
Teachings
- Technologies of Weakly Supervised Machine Learning, Beijing University of Technology, Spring, (for graduate students), 2024-now.
- Software Project Management, Beijing University of Technology, Spring, (for undergraduate students), 2025-now.
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- )
- ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (ACM SIGKDD 2025- )
- 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- )
- ACM International Conference on Multimedia (ACM MM 2025- )
- International Conference on Artificial Intelligence and Statistics (AISTATS 2025- )