| GM-PLL: Graph matching based partial label learning G Lyu, S Feng, T Wang, C Lang, Y Li IEEE Transactions on Knowledge and Data Engineering (TKDE) 33 (2), 521-535, 2021 | 76 | 2021 |
| Partial multi-label learning via multi-subspace representation Z Li, G Lyu, S Feng International Joint Conferences on Artificial Intelligence (IJCAI), 2612-2618, 2021 | 50 | 2021 |
| A self-paced regularization framework for partial-label learning G Lyu, S Feng, T Wang, C Lang IEEE Transactions on Cybernetics (TCYB) 52 (2), 899-911, 2022 | 49 | 2022 |
| Global-local label correlation for partial multi-label learning L Sun, S Feng, J Liu, G Lyu, C Lang IEEE Transactions on Multimedia (TMM) 24, 581-593, 2022 | 48 | 2022 |
| Partial multi-label learning via probabilistic graph matching mechanism G Lyu, S Feng, Y Li ACM SIGKDD International Conference on Knowledge Discovery & Data Mining …, 2020 | 44 | 2020 |
| Noisy label tolerance: A new perspective of partial multi-label learning G Lyu, S Feng, Y Li Information Sciences 543, 454-466, 2021 | 37 | 2021 |
| HERA: partial label learning by combining heterogeneous loss with sparse and low-rank regularization G Lyu, S Feng, Y Li, Y Jin, G Dai, C Lang ACM Transactions on Intelligent Systems and Technology (TIST) 11 (3), 1-19, 2020 | 29 | 2020 |
| Beyond shared subspace: A view-specific fusion for multi-view multi-label learning G Lyu, X Deng, Y Wu, S Feng AAAI Conference on Artificial Intelligence (AAAI), 7647-7654, 2022 | 28 | 2022 |
| Weakly-supervised multi-label learning with noisy features and incomplete labels L Sun, P Ye, G Lyu, S Feng, G Dai, H Zhang Neurocomputing 413, 61-71, 2020 | 27 | 2020 |
| GM-MLIC: graph matching based multi-label image classification Y Wu, H Liu, S Feng, Y Jin, G Lyu, Z Wu International Joint Conference on Artificial Intelligence (IJCAI), 1179-1185, 2021 | 26 | 2021 |
| Triple-granularity contrastive learning for deep multi-view subspace clustering J Wang, S Feng, G Lyu, Z Gu ACM International Conference on Multimedia (ACM MM), 2994-3002, 2023 | 23 | 2023 |
| ONION: Joint unsupervised feature selection and robust subspace extraction for graph-based multi-view clustering Z Gu, S Feng, R Hu, G Lyu ACM Transactions on Knowledge Discovery from Data (TKDD) 17 (5), 1-23, 2023 | 19 | 2023 |
| Deep graph matching for partial label learning G Lyu, Y Wu, S Feng International Joint Conference on Artificial Intelligence (IJCAI), 3306-3312, 2022 | 17 | 2022 |
| Beyond missing: weakly-supervised multi-label learning with incomplete and noisy labels L Sun, G Lyu, S Feng, X Huang Applied Intelligence 51, 1552-1564, 2021 | 17 | 2021 |
| Label driven latent subspace learning for multi-view multi-label classification W Liu, J Yuan, G Lyu, S Feng Applied Intelligence 53 (4), 3850-3863, 2023 | 16 | 2023 |
| Partial multi-label learning with noisy side information L Sun, S Feng, G Lyu, H Zhang, G Dai Knowledge and Information Systems 63, 541-564, 2021 | 16 | 2021 |
| Beyond word embeddings: Heterogeneous prior knowledge driven multi-label image classification X Deng, S Feng, G Lyu, T Wang, C Lang IEEE Transactions on Multimedia (TMM) 25, 4013-4025, 2023 | 13 | 2023 |
| Partial label learning via low-rank representation and label propagation G Lyu, S Feng, W Huang, G Dai, H Zhang, B Chen Soft Computing 24, 5165-5176, 2020 | 13 | 2020 |
| MetaZSCIL: a meta-learning approach for generalized zero-shot class incremental learning Y Wu, T Liang, S Feng, Y Jin, G Lyu, H Fei, Y Wang AAAI Conference on Artificial Intelligence (AAAI), 10408-10416, 2023 | 12 | 2023 |
| Attentive generative adversarial network to bridge multi-domain gap for image synthesis M Wang, C Lang, L Liang, G Lyu, S Feng, T Wang 2020 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2020 | 12 | 2020 |
Songhe FengProfessor in School of Computer Science and Technology, Beijing Jiaotong UniversityEmail verificata su bjtu.edu.cn