Gengyu Lyu 吕庚育
I am currently an Associate Professor (and a Ph.D. Supervisor) in the Faculty of Information Technology, 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] [中文校园主页][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
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.
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)
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]
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)
[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
Partial Multi-Label Learning via Probabilistic Graph Matching Mechanism
Gengyu Lyu, Songhe Feng, Yidong Li
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (ACM SIGKDD), 2020:105-113
[PDF]
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 Student: Qiuru Hai (2023, co-supervised)
- Graduate Student: Weiqi Kang (2023), Bohang Sun (2023), Qiyu Zhong (2023, co-supervised)
- Undergraduate Student: Hongdao Meng (2020), Yiyuan Wang (2021), Yakun Hu (2022), Zhiyuan Ma (2023)
- Other Co-Supervised Student: Yuena Lin
Patents
- Noisy Label Tolerance based Partial Multi-Label Learning Algorithm (No. 202010412161.7)
Selected Projects
- Research on Key Technologies of Multi-View Multi-Label Learning under Non Perfect Data, National Natural Science Foundation of China, PI, 2024-2026
- Research on Multi-View Information Fusion and Multi-Label Classification Algorithm, Project funded by China Postdoctoral Science Foundation, PI, 2023-2025
- Research on Partial Label Learning Algorithm, Fundamental Research Funds for the Central Universities, PI, 2018-2020
- Research on Weakly Supervised Multi-Label Learning Algorithm, Fundamental Research Funds for the Central Universities, PI, 2020-2022
- Research on Key Technologies of Large-Scale Image Semantic Understanding Under Weak Supervised Learning Framework, National Natural Science Foundation of China, 2019-2022
- Research on Complex Scene based Unsupervised Transfer Learning Person Re-Identification Method, National Natural Science Foundation of China, 2020-2023
- Research on Weakly Supervised Multi-Label Learning Algorithm and its Application in Image Semantic Understanding, Beijing Natural Science Foundation, 2020-2022
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 (ML)
- Information Sciences (INS)
- Neurocomputing
- 中国科学：信息科学
- 软件学报
Reviewer for Conferences
- International Conference on Learning Representations (ICLR 2022, 2023)
- International Conference on Machine Learning (ICML 2021, 2022, 2023)
- Conference on Neural Information Processing Systems (NeurIPS 2021, 2022, 2023)
- IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021, 2022, 2023)
- International Conference on Computer Vision (ICCV 2021, 2023)
- European Conference on Computer Vision (ECCV 2022)
- AAAI Conference on Artificial Intelligence (AAAI 2021, 2022, 2023)
- International Joint Conference on Artificial Intelligence (IJCAI 2022, 2023)