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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]

  lyugengyu AT gmail DOT com and Google Scholar Citations Page                            

News

  • 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):1-19, 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):1-16, 2023. [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)

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):1-21, 2023. [PDF]

2022

Beyond Shared Subspace: A View-Specific Fusion for Multi-View Multi-Label Learning
Gengyu Lyu*, Xiang Deng*(Equal Contributions), Yanan Wu, Songhe Feng
AAAI Conference on Artificial Intelligence (AAAI), 2022:7647-7654 [PDF] [Codes]

Deep Graph Matching for Partial Label Learning
Gengyu Lyu*, Yanan Wu*(Equal Contributions), Songhe Feng
International Joint Conference on Artificial Intelligence (IJCAI), 2022:3306-3312 [PDF] [Codes]

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]

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) [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-PLL: Graph Matching based Partial Label Learning
Gengyu Lyu, Songhe Feng, Tao Wang, Congyan Lang, Yidong Li
IEEE Transactions on Knowledge and Data Engineering (TKDE), 33(2):521-535, 2021. [PDF] [Codes]

Noisy Label Tolerance: A New Perspective of Partial Multi-Label Learning
Gengyu Lyu, Songhe Feng, Yidong Li
Information Sciences (INS), 543:454-466, 2021. [PDF] [Codes]

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


Patents

  • Noisy Label Tolerance based Partial Multi-Label Learning Algorithm (No. 202010412161.7)

Selected Projects

  • 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
  • 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)
  • 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)