Machine Learning and Data Mining, including Multi-Label Learning, Partial Label Learning, etc.

• G. Lyu, S. Feng, T. Wang, C. Lang, Y. Li. GM-PLL: Graph Matching based Partial Label Learning. IEEE Transactions on Knowledge and Data Engineering. 2021

• G. Lyu, S. Feng, Y. Li. Partial Multi-Label Learning via Probabilistic Graph Matching Mechanism. ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 2020: 105-113

• G. Lyu, X. Deng, Y. Wu, S. Feng. Beyond Shared Subspace: A View-Specific Fusion for Multi-View Multi-Label Learning. AAAI Conference on Artificial Intelligence. 2022

• G. Lyu, S. Feng, Y. Jin, T. Wang, C. Lang, Y. Li. Prior Knowledge Regularized Self-Representation Model for Partial Multi-Label Learning. IEEE Transactions on Cybernetics. 2021

• G. Lyu, S. Feng, T. Wang, C. Lang. A self-paced Regularization Framework for Partial Label Learning. IEEE Transactions on Cybernetics. 2020

• G. Lyu, S. Feng, Y. Li. Partial Label Learning via Self-Paced Curriculum Strategy. The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. 2020

• G. Lyu, S. Feng, Y. Li, Y. Jin, G. Dai, C. Lang. HERA: Partial Label Learning by Combining Heterogeneous Loss with Sparse and Low-Rank Regularization. ACM Transactions on Intelligent Systems and Technology. 11(3):1-34, 2020

• G. Lyu, S. Feng, Y. Li, H. Liu, T. Wang. Noisy Label Tolerance: A new perspective of Partial Multi-Label Learning. Information Sciences. 2020

• Z. Li*, G. Lyu*(equal contribution), S. Feng. Partial Multi-Label Learning via Multi-Subspace Representation. International Joint Conference on Artificial Intelligence. 2020: 2612-2618

• Y. Sun*, G. Lyu* (equal contribution), S. Feng. Partial Label Learning via Subspace Representation and Global Disambiguation. The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. 2020

• Y. Wu, H. Liu, S. Feng, Y. Jin, G. Lyu, Z. Wu. GM-MLIC: Graph Matching based Multi-Label Image Classification. International Joint Conference on Artificial Intelligence. 2021

• L. Sun, S. Feng, J. Liu, G. Lyu, C. Lang. Global-Local Label Correlation for Partial Multi-Label Learning. IEEE Transactions on Multimedia. 2020

• “Research on Partial Label Learning Algorithm”, Fundamental Research Funds for the Central Universities, 2018-2020, PI

• “Research on Weakly Supervised Multi-Label Learning Algorithm”, Fundamental Research Funds for the Central Universities, 2020-2022, PI

• “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 Weakly Supervised Multi-Label Learning Algorithm and its Application in Image Semantic Understanding”, Beijing Natural Science Foundation , 2020-2022

• “Research on Complex Scene based Unsupervised Transfer Learning Person Re-Identification Method”, National Natural Science Foundation of China, 2020-2023

• “Research on Key Technologies of Image Saliency Detection and Segmentation Under Weak Supervised Learning Framework”, Beijing Natural Science Foundation , 2020-2022

• Noisy Label Tolerance based Partial Multi-Label Learning, 202010412161.7

• Conference PC Member (Reviewer): ICLR 2022; ICML 2021, 2022; NeurIPS 2021; CVPR 2021, 2022; ICCV 2021; AAAI 2021, 2022; IJCAI 2022; ECML-PKDD 2020;

• Journal Reviewer: TPAMI, TNNLS, TMM;

• Zhixing Scholarship (The highest honor of PhD graduates in BJTU) 2021

• Baogang Scholarship 2021

• National Scholarship 2014,2020

• Huawei Scholarship 2021

• Zhijin Scholarship 2020

• First Prized Scholarship 2013, 2015, 2017, 2019

• Outstanding Graduates in Beijing 2016

• “Triple-A” Students in Beijing 2015