| Expand globally, shrink locally: Discriminant multi-label learning with missing labels Z Ma, S Chen Pattern Recognition 111, 107675, 2021 | 44 | 2021 |
| Several novel evaluation measures for rank-based ensemble pruning with applications to time series prediction Z Ma, Q Dai, N Liu Expert systems with applications 42 (1), 280-292, 2015 | 34 | 2015 |
| Multi-dimensional classification via a metric approach Z Ma, S Chen Neurocomputing 275, 1121-1131, 2018 | 27 | 2018 |
| Selected an stacking ELMs for time series prediction Z Ma, Q Dai Neural Processing Letters 44, 831-856, 2016 | 25 | 2016 |
| A two-phased and Ensemble scheme integrated Backpropagation algorithm Q Dai, Z Ma, QY Xie Applied Soft Computing 24, 1124-1135, 2014 | 18 | 2014 |
| A convex formulation for multiple ordinal output classification Z Ma, S Chen Pattern Recognition 86, 73-84, 2019 | 16 | 2019 |
| Face aging with conditional generative adversarial network guided by ranking-CNN M Sheng, Z Ma, H Jia, Q Mao, M Dong 2020 IEEE Conference on Multimedia Information Processing and Retrieval …, 2020 | 15 | 2020 |
| Extreme learning machines’ ensemble selection with GRASP T Zhang, Q Dai, Z Ma Applied Intelligence 43, 439-459, 2015 | 15 | 2015 |
| MoRE: multi-output residual embedding for multi-label classification S Liu, X Song, Z Ma, ED Ganaa, XJ Shen Pattern Recognition 126, 108584, 2022 | 13 | 2022 |
| A similarity-based framework for classification task Z Ma, S Chen IEEE Transactions on Knowledge and Data Engineering 35 (5), 5438-5443, 2022 | 3 | 2022 |
| Multi-level distance embedding learning for robust acoustic scene classification with unseen devices G Jiang, Z Ma, Q Mao, J Zhang Pattern Analysis and Applications 26 (3), 1089-1099, 2023 | 2 | 2023 |
| Deep Large-Margin Rank Loss for Multi-Label Image Classification Z Ma, Z Li, Y Zhan Mathematics 10 (23), 4584, 2022 | 2 | 2022 |
| Label Structure Preserving Contrastive Embedding for Multi-Label Learning with Missing Labels Z Ma, L Li, Q Mao, S Chen arXiv preprint arXiv:2209.01314, 2022 | 2 | 2022 |
| Latent discriminative representation learning for speaker recognition D Huang, Q Mao, Z Ma, Z Zheng, S Routryar, ENN Ocquaye Frontiers of Information Technology & Electronic Engineering 22 (5), 697-708, 2021 | 2 | 2021 |
| Global expanding, local shrinking: Discriminant multi-label learning with missing labels Z Ma, S Chen arXiv e-prints, arXiv: 2004.03951, 2020 | 2 | 2020 |
| Geometric Metric Learning for Multi-Output Learning H Gao, Z Ma Mathematics 10 (10), 1632, 2022 | 1 | 2022 |
| Hypergraph induced graph convolutional network for multi-label image recognition Y Tan, Z Ma, Y Zhan, Q Mao 2020 International Conference on Internet of Things and Intelligent …, 2020 | 1 | 2020 |
| Learning device-invariant and location-invariant embedding for speaker verification using adversarial multi-task training Y Qin, Q Mao, Z Ma, J Chen 2020 International Conference on Internet of Things and Intelligent …, 2020 | 1 | 2020 |
| Heterogeneous multi-output classification by structured conditional risk minimization Z Ma, S Chen, D Ma Pattern Recognition Letters 116, 50-57, 2018 | 1 | 2018 |
| Two-Stage Multi-Instance Multi-Label Learning Model for Video Social Relationship Recognition W Dong, Z Ma, Q Zhu, Q Mao 2023 4th International Conference on Intelligent Computing and Human …, 2023 | | 2023 |
