| Information-theoretic analysis for transfer learning X Wu, JH Manton, U Aickelin, J Zhu 2020 IEEE International Symposium on Information Theory (ISIT), 2819-2824, 2020 | 28 | 2020 |
| Imputation techniques on missing values in breast cancer treatment and fertility data X Wu, H Akbarzadeh Khorshidi, U Aickelin, Z Edib, M Peate Health Information Science and Systems 7 (1), 19, 2019 | 19 | 2019 |
| Online transfer learning: Negative transfer and effect of prior knowledge X Wu, JH Manton, U Aickelin, J Zhu 2021 IEEE International Symposium on Information Theory (ISIT), 1540-1545, 2021 | 10 | 2021 |
| An information-theoretic analysis for transfer learning: Error bounds and applications X Wu, JH Manton, U Aickelin, J Zhu arXiv preprint arXiv:2207.05377, 2022 | 7 | 2022 |
| A Bayesian approach to (online) transfer learning: Theory and algorithms X Wu, JH Manton, U Aickelin, J Zhu Artificial Intelligence 324, 103991, 2023 | 5 | 2023 |
| Fast rate generalization error bounds: Variations on a theme X Wu, JH Manton, U Aickelin, J Zhu 2022 IEEE Information Theory Workshop (ITW), 43-48, 2022 | 5 | 2022 |
| On the tightness of information-theoretic bounds on generalization error of learning algorithms X Wu, JH Manton, U Aickelin, J Zhu arXiv preprint arXiv:2303.14658, 2023 | 1 | 2023 |
| Transfer learning to enhance amenorrhea status prediction in cancer and fertility data with missing values X Wu, HA Khorshidi, U Aickelin, Z Edib, M Peate Artificial Intelligence, 233-260, 2020 | 1 | 2020 |
| On the Value of Stochastic Side Information in Online Learning J Jia, X Wu, J Evans, J Zhu ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | | 2023 |
| Information-theoretic Analysis For Machine Learning and Transfer Learning: Bounds and Applications X Wu University of Melbourne, 2023 | | 2023 |
| On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis X Wu, M Gong, JH Manton, U Aickelin, J Zhu arXiv preprint arXiv:2205.04641, 2022 | | 2022 |
