| Online transfer learning with multiple homogeneous or heterogeneous sources Q Wu, H Wu, X Zhou, M Tan, Y Xu, Y Yan, T Hao IEEE Transactions on Knowledge and Data Engineering 29 (7), 1494-1507, 2017 | 130 | 2017 |
| Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation. Y Yan, W Li, H Wu, H Min, M Tan, Q Wu IJCAI 7, 2969-2975, 2018 | 127 | 2018 |
| Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation. Y Yan, W Li, MKP Ng, M Tan, H Wu, H Min, Q Wu IJCAI, 3252-3258, 2017 | 73 | 2017 |
| Geometric knowledge embedding for unsupervised domain adaptation H Wu, Y Yan, Y Ye, MK Ng, Q Wu Knowledge-Based Systems 191, 105155, 2020 | 58 | 2020 |
| Online transfer learning by leveraging multiple source domains Q Wu, X Zhou, Y Yan, H Wu, H Min Knowledge and Information Systems 52, 687-707, 2017 | 57 | 2017 |
| Group-preserving label-specific feature selection for multi-label learning J Zhang, H Wu, M Jiang, J Liu, S Li, Y Tang, J Long Expert Systems with Applications 213, 118861, 2023 | 55 | 2023 |
| Hypergraph convolution on nodes-hyperedges network for semi-supervised node classification H Wu, MK Ng ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (4), 1-19, 2022 | 36 | 2022 |
| Iterative refinement for multi-source visual domain adaptation H Wu, Y Yan, G Lin, M Yang, MKP Ng, Q Wu IEEE Transactions on Knowledge and Data Engineering 34 (6), 2810-2823, 2022 | 35 | 2022 |
| Online heterogeneous transfer learning by knowledge transition H Wu, Y Yan, Y Ye, H Min, MK Ng, Q Wu ACM Transactions on Intelligent Systems and Technology (TIST) 10 (3), 1-19, 2019 | 33 | 2019 |
| Hypergraph collaborative network on vertices and hyperedges H Wu, Y Yan, MK Ng IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (3), 3245 …, 2023 | 32 | 2023 |
| Knowledge preserving and distribution alignment for heterogeneous domain adaptation H Wu, Q Wu, MK Ng ACM Transactions on Information Systems (TOIS) 40 (1), 1-29, 2021 | 27 | 2021 |
| Domain-attention conditional wasserstein distance for multi-source domain adaptation H Wu, Y Yan, MK Ng, Q Wu ACM Transactions on Intelligent Systems and Technology (TIST) 11 (4), 1-19, 2020 | 26 | 2020 |
| Heterogeneous domain adaptation by information capturing and distribution matching H Wu, H Zhu, Y Yan, J Wu, Y Zhang, MK Ng IEEE Transactions on Image Processing 30, 6364-6376, 2021 | 25 | 2021 |
| Joint visual and semantic optimization for zero-shot learning H Wu, Y Yan, S Chen, X Huang, Q Wu, MK Ng Knowledge-Based Systems 215, 106773, 2021 | 25 | 2021 |
| Multiple graphs and low-rank embedding for multi-source heterogeneous domain adaptation H Wu, MK Ng ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (4), 1-25, 2022 | 23 | 2022 |
| Multi-source transfer learning for EEG classification based on domain adversarial neural network D Liu, J Zhang, H Wu, S Liu, J Long IEEE Transactions on Neural Systems and Rehabilitation Engineering 31, 218-228, 2023 | 21 | 2023 |
| Adversarial Auto-encoder Domain Adaptation for Cold-start Recommendation with Positive and Negative Hypergraphs H Wu, J Long, N Li, D Yu, MK Ng ACM Transactions on Information Systems (TOIS) 41 (2), 1-25, 2023 | 20 | 2023 |
| Transferable feature selection for unsupervised domain adaptation Y Yan, H Wu, Y Ye, C Bi, M Lu, D Liu, Q Wu, MKP Ng IEEE Transactions on Knowledge and Data Engineering 34 (11), 5536 - 5551, 2022 | 20 | 2022 |
| Domain invariant and agnostic adaptation S Chen, H Wu, C Liu Knowledge-Based Systems 227, 107192, 2021 | 17 | 2021 |
| Collaborative contrastive learning for hypergraph node classification H Wu, N Li, J Zhang, S Chen, MK Ng, J Long Pattern Recognition 146, 109995, 2024 | 15 | 2024 |
Michael Kwok-Po NgSIAM Fellow, AAIA Fellow, Dean of Science, Chair Professor in Mathematics & in Data Science, HKBUVerified email at hkbu.edu.hk
