| Multi-label learning with kernel extreme learning machine autoencoder Y Cheng, D Zhao, Y Wang, G Pei Knowledge-Based Systems 178, 1-10, 2019 | 51 | 2019 |
| Consistency and diversity neural network multi-view multi-label learning D Zhao, Q Gao, Y Lu, D Sun, Y Cheng Knowledge-Based Systems 218, 106841, 2021 | 37 | 2021 |
| Joint label completion and label-specific features for multi-label learning algorithm Y Wang, W Zheng, Y Cheng, D Zhao Soft Computing 24, 6553–6569, 2020 | 26 | 2020 |
| Two-step multi-view and multi-label learning with missing label via subspace learning D Zhao, Q Gao, Y Lu, D Sun Applied soft computing 102, 107120, 2021 | 23 | 2021 |
| Missing multi-label learning with non-equilibrium based on classification margin Y Cheng, K Qian, Y Wang, D Zhao Applied Soft Computing 86, 105924, 2020 | 22 | 2020 |
| Non-aligned multi-view multi-label classification via learning view-specific labels D Zhao, Q Gao, Y Lu, D Sun IEEE Transactions on Multimedia 25, 7235-7247, 2022 | 19 | 2022 |
| Learning multi-label label-specific features via global and local label correlations D Zhao, Q Gao, Y Lu, D Sun Soft Computing 26 (5), 2225-2239, 2022 | 18 | 2022 |
| Learning view-specific labels and label-feature dependence maximization for multi-view multi-label classification D Zhao, Q Gao, Y Lu, D Sun Applied Soft Computing 124, 109071, 2022 | 17 | 2022 |
| Multi-label weak-label learning via semantic reconstruction and label correlations D Zhao, H Li, Y Lu, D Sun, D Zhu, Q Gao Information Sciences 623, 379-401, 2023 | 16 | 2023 |
| Two-level label recovery-based label embedding for multi-label classification with missing labels Y Wang, W Zheng, Y Cheng, D Zhao Applied Soft Computing 99, 106868, 2021 | 13 | 2021 |
| Multi-label learning of non-equilibrium labels completion with mean shift C Yusheng, Z Dawei, Z Wenfa, W Yibin Neurocomputing 321, 92-102, 2018 | 13 | 2018 |
| A BFRC compressive strength prediction method via kernel extreme learning machine-genetic algorithm H Li, J Lin, D Zhao, G Shi, H Wu, T Wei, D Li, J Zhang Construction and Building Materials 344, 128076, 2022 | 10 | 2022 |
| Remaining useful life estimation of bearing using spatio-temporal convolutional transformer D Zhu, J Lyu, Q Gao, Y Lu, D Zhao Measurement Science and Technology 35 (4), 045126, 2024 | 2 | 2024 |
| A Novel Bearing Fault Diagnosis Algorithm Based on Adaptive Weighted Multi-view Learning Y Lu, D Zhu, D Zhao, D Zhu, D Sun, Q Gao IEEE Transactions on Instrumentation and Measurement, 2023 | 2 | 2023 |
| Remaining useful life prediction for bearing based on coupled diffusion process and temporal attention Y Lu, D Tang, D Zhu, Q Gao, D Zhao, J Lyu IEEE Transactions on Instrumentation and Measurement 73, 1-10, 2024 | 1 | 2024 |
| Multi-label learning of missing labels using label-specific features: an embedded packaging method D Zhao, Y Tan, D Sun, Q Gao, Y Lu, D Zhu Applied Intelligence 54 (1), 791-814, 2024 | 1 | 2024 |
| A novel infrared and visible image fusion algorithm based on global information-enhanced attention network J Tian, D Sun, Q Gao, Y Lu, M Bao, D Zhu, D Zhao Image and Vision Computing, 105161, 2024 | | 2024 |
| Incipient Fault Diagnosis Method via Joint Adaptive Signal Decomposition Q Wu, Q Gao, Y Lu, D Zhu, D Sun, D Zhao, S Peng, D Maksim IEEE Sensors Journal, 2024 | | 2024 |
| Ptpfusion: A Progressive Infrared and Visible Image Fusion Network Based on Texture Preserving Y Lu, D Zhao, Y Qian, D Maksim, Q Gao Dawei and Qian, Yucheng and Maksim, Davydau and Gao, Qingwei, Ptpfusion: A …, 0 | | |
| Pctlfusion: A Progressive Fusion Network Via Contextual Texture Learning for Infrared and Visible Image Y Lu, D Gong, D Zhao, D Maksim, Q Gao Available at SSRN 4824665, 0 | | |
