| Learning label-specific features and class-dependent labels for multi-label classification J Huang, G Li, Q Huang, X Wu IEEE transactions on knowledge and data engineering 28 (12), 3309-3323, 2016 | 246 | 2016 |
| Learning label specific features for multi-label classification J Huang, G Li, Q Huang, X Wu 2015 IEEE International conference on data mining, 181-190, 2015 | 200 | 2015 |
| Joint feature selection and classification for multilabel learning J Huang, G Li, Q Huang, X Wu IEEE transactions on cybernetics 48 (3), 876-889, 2017 | 179 | 2017 |
| Improving multi-label classification with missing labels by learning label-specific features J Huang, F Qin, X Zheng, Z Cheng, Z Yuan, W Zhang, Q Huang Information Sciences 492, 124-146, 2019 | 168 | 2019 |
| Multi-label classification by exploiting local positive and negative pairwise label correlation J Huang, G Li, S Wang, Z Xue, Q Huang Neurocomputing 257, 164-174, 2017 | 99 | 2017 |
| Molecular dynamics simulation and machine learning of mechanical response in non-equiatomic FeCrNiCoMn high-entropy alloy L Zhang, K Qian, J Huang, M Liu, Y Shibuta Journal of Materials Research and Technology 13, 2043-2054, 2021 | 55 | 2021 |
| Group sensitive classifier chains for multi-label classification J Huang, G Li, S Wang, W Zhang, Q Huang 2015 IEEE international conference on multimedia and expo (ICME), 1-6, 2015 | 40 | 2015 |
| Multi-view multi-label learning with view-label-specific features J Huang, X Qu, G Li, F Qin, X Zheng, Q Huang IEEE access 7, 100979-100992, 2019 | 33 | 2019 |
| Multi-label learning with missing and completely unobserved labels J Huang, L Xu, K Qian, J Wang, K Yamanishi Data Mining and Knowledge Discovery 35, 1061-1086, 2021 | 28 | 2021 |
| Regularized matrix factorization for multilabel learning with missing labels L Feng, J Huang, S Shu, B An IEEE transactions on cybernetics 52 (5), 3710-3721, 2020 | 28 | 2020 |
| Multi-layered semantic representation network for multi-label image classification X Qu, H Che, J Huang, L Xu, X Zheng International Journal of Machine Learning and Cybernetics 14 (10), 3427-3435, 2023 | 26 | 2023 |
| Cross-session emotion recognition by joint label-common and label-specific EEG features exploration Y Peng, H Liu, J Li, J Huang, BL Lu, W Kong IEEE Transactions on Neural Systems and Rehabilitation Engineering 31, 759-768, 2022 | 21 | 2022 |
| A Novel Global Spatial Attention Mechanism in Convolutional Neural Network for Medical Image Classification L Xu, J Huang, A Nitanda, R Asaoka, K Yamanishi https://arxiv.org/abs/2007.15897, 2020 | 16 | 2020 |
| Learning label-specific features for multi-label classification with missing labels J Huang, F Qin, X Zheng, Z Cheng, Z Yuan, W Zhang 2018 IEEE Fourth international conference on multimedia big data (BigMM), 1-5, 2018 | 16 | 2018 |
| Categorizing social multimedia by neighborhood decision using local pairwise label correlation J Huang, G Li, S Wang, Q Huang 2014 IEEE International Conference on Data Mining Workshop, 913-920, 2014 | 13 | 2014 |
| Beyond global fusion: A group-aware fusion approach for multi-view image clustering Z Xue, G Li, S Wang, J Huang, W Zhang, Q Huang Information Sciences 493, 176-191, 2019 | 11 | 2019 |
| Multi-label learning with missing features and labels and its application to text categorization X Hao, J Huang, F Qin, X Zheng Intelligent Systems with Applications 14, 200086, 2022 | 10 | 2022 |
| Discovering Latent Class Labels for Multi-Label Learning J Huang, L Xu, J Wang, L Feng, K Yamanishi Proceedings of the Twenty-Ninth International Joint Conference on Artificial …, 2020 | 9 | 2020 |
| Multi-label learning via feature and label space dimension reduction J Huang, P Zhang, H Zhang, G Li, H Rui IEEE Access 8, 20289-20303, 2020 | 9 | 2020 |
| Twin graph-based anomaly detection via attentive multi-modal learning for microservice system J Huang, Y Yang, H Yu, J Li, X Zheng 2023 38th IEEE/ACM International Conference on Automated Software …, 2023 | 7 | 2023 |
Guorong LiUniversity of Chinese Academy of Sciences在 ucas.ac.cn 的电子邮件经过验证
