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. [招生介绍] lyugengyu AT gmail DOT com and Google Scholar Citations Page![[招生介绍]](assets/images/APP.png){kind=link}
News
- 2022.07 I joined the DMS Lab in BJUT.
Team Members
- Doctorate Students:
2023 : Qiuru Hai (AAAI*1)
2024 : Yuena Lin (中国科协博士生项目, 博创奖学金, ICLR*1, ICML*1, NeurIPS*1, TKDE*1, CVPR*1)
- Graduate Students:
2023 : Qiyu Zhong（国家奖学金, ICML*1, TNNLS*1 | 博士实习）, Weiqi Kang（国家奖学金/小米奖学金, IJCAI*1 | 企业实习）, Bohang Sun (国家奖学金/比亚迪奖学金, NeurIPS*1, AAAI*2 | 博士实习)
2024 : Hao Wei (AAAI*1 | 企业实习 ), Zhuo Li (IJCAI*1, AAAI*1 | 企业实习)
2025 : Shuo Wang, Jie Yao, Ling Ma (IJCAI*1)
2026 : Peixi Zou, Zeshen Guo, Jun Heng
- Undergraduate Students:
2023 : Yi Shan (北自然本科生项目, 国创项目, 国家奖学金/小米特等奖, AAAI*1, FCS*1), Lianjin Yu (在投), Xinxin Zheng (在投), Honghan Cui
2024 : Yichi Zhang (在投), Songxuan Shi, Xiangning Zeng (国创项目)
- Alumni:
2025届本科 : Yiyuan Wang（BNBU, ICLR*1 [co-first author], 北京工业大学优秀本科毕业设计[PDF])
2024届本科 : Hongdao Meng（NYU, TBD*1）, Ziyu Zhou (HKUST(GZ), IJCAI*1, 北京市优秀本科毕业设计[PDF]), Zhiyuan Ma (大一转学至UIUC)
Selected Publications
2026
DF-VB: Dual-level Fuzzy Fusion with View-specific Boosting for Multi-view Multi-label Classification
Yuena Lin, Haichun Cai, Yi Shan, Hao Wei, Yongjian Deng, Zhen Yang, Gengyu Lyu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026. (CCF A)
Hypergraph-Based Multi-View Multi-Label Classification via Adaptive High-Order Semantic Fusion
Yi Shan, Liyang Gao, Yuena Lin, Zhen Yang, Gengyu Lyu , Honggui Han
AAAI Conference on Artificial Intelligence (AAAI), 2026: 25269-25277.
[Codes] (CCF A, Oral, 课题组本科生一作)
Label Driven Contrastive Fusion for Multi-View Multi-Label Learning
Zun Li, Yi Shan, Xiangning Zeng, Songxuan Shi, Gengyu Lyu
Frontiers of Computer Science (FCS), 2026.
(CCF B)
Cooperative Multi-View Graph Learning via High-Rank Tensor Specificity
Ling Ma, Qiyu Zhong, Hao Wei, ..., Zhen Yang, Gengyu Lyu
International Joint Conference on Artificial Intelligence (IJCAI), 2026.
(CCF B)
CCAHCL: Multi-Level Hypergraph Contrastive Learning for Connected Component Awareness
Zhuo Li, Gengyu Lyu, Yuena Lin, Ziang Chen, Zhiyuan Ma, Zhen Yang, Zun Li
AAAI Conference on Artificial Intelligence (AAAI), 2026: 23355-23363.
[Codes] (CCF A, Oral)
Dual Graph Disambiguation for Multi-Instance Partial-Label Learning
Zhen Zhu, Yixuan Tang, Haobo Wang, Gengyu Lyu, Cheng Peng, Yining Sun, Kai Tang, Songhe Feng
AAAI Conference on Artificial Intelligence (AAAI), 2026: 29223-29231.
(CCF A)
Dual Branch Mutual Teaching for Long-Tailed Partial Label Learning
Xiangyu Ren, Mingxuan Xia, Guangcheng Zhu, Gengyu Lyu, Peng Lu, Haobo Wang
International Joint Conference on Artificial Intelligence (IJCAI), 2026.
(CCF B)
2025
Simplified Graph Contrastive Learning Model without Augmentation
Yuena Lin, Gengyu Lyu , Haichun Cai, Dengbao Wang, Haobo Wang, Zhen Yang
IEEE Transactions on Knowledge and Data Engineering (TKDE), 37(10):6159-6172, 2025.
[PDF] (CCF A)
Federated Multi-View Multi-Label Classification
Hongdao Meng, Yongjian Deng, Qiyu Zhong, Yipeng Wang, Zhen Yang, Gengyu Lyu
IEEE Transactions on Big Data (TBD), 11(4):2072-2084, 2025.
[PDF] (CCF C, 课题组本科生一作)
Boosting Restoration of Turbulence-Degraded Images with State Space Conditional Diffusion
Yubo Wu, Kuanhong Cheng, Tingting Chai, Gengyu Lyu , Shuping Zhao, Wei Jia
IEEE Transactions on Signal Processing (TSP), 73:2631-2645, 2025.
[PDF]
Large Margin Representation Learning for Robust Cross-lingual Named Entity Recognition
Guangcheng Zhu, Ruixuan Xiao, Zhen Zhu, Gengyu Lyu, Junbo Zhao, Haobo Wang
Annual Meeting of the Association for Computational Linguistics (ACL), 2025.
[PDF] (CCF A)
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: 4806-4814.
[PDF] (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: 10510-10518.
[PDF] (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: 8268-8276.
[PDF] (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: 21438-21446.
[PDF] (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, (for graduate students from College of Computer Science, BJUT), Spring, 2024-now.
- Software Project Management, (for undergraduate students from Beijing-Dublin International College, BJUT), Spring, 2025-now.
- Introduction to Artificial Intelligence, (for undergraduate students from College of Computer Science, BJUT), Spring, 2026-now.
Professional Activities
Reviewer for Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
- Artificial Intelligence (AIJ)
- 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)
- ACM Transactions on Knowledge Discovery from Data (TKDD)
- Machine Learning (MLJ)
- Pattern Recognition (PR)
- Knowledge-Based Systems (KBS)
- Neurocomputing
- Chinese Journal of Electronics
- 中国科学：信息科学
- 软件学报
Reviewer for Conferences
- International Conference on Machine Learning (ICML 2021- )
- Advances in Neural Information Processing Systems (NeurIPS 2021-2025, Area Chair: 2026- )
- International Conference on Learning Representations (ICLR 2022-2025, Area Chair: 2026- )
- 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 2022-2025, Senior PC: 2026- )
- ACM International Conference on Multimedia (ACM MM 2025- )
- International Conference on Artificial Intelligence and Statistics (AISTATS 2025- )
- Asian Conference on Machine Learning (ACML 2025-)