| Deep metric learning for few-shot image classification: A review of recent developments X Li, X Yang, Z Ma, JH Xue Pattern Recognition 138, 109381, 2023 | 134* | 2023 |
| Learning local metrics and influential regions for classification M Dong, Y Wang, X Yang, JH Xue IEEE transactions on pattern analysis and machine intelligence 42 (6), 1522-1529, 2019 | 23 | 2019 |
| Physics-informed surrogate modeling for hydro-fracture geometry prediction based on deep learning Y Lu, B Wang, Y Zhao, X Yang, L Li, M Dong, Q Lv, F Zhou, N Gu, ... Energy 253, 124139, 2022 | 20 | 2022 |
| Data-augmented matched subspace detector for hyperspectral subpixel target detection X Yang, M Dong, Z Wang, L Gao, L Zhang, JH Xue Pattern Recognition 106, 107464, 2020 | 20 | 2020 |
| ReMarNet: Conjoint relation and margin learning for small-sample image classification X Li, L Yu, X Yang, Z Ma, JH Xue, J Cao, J Guo IEEE Transactions on Circuits and Systems for Video Technology 31 (4), 1569-1579, 2020 | 14 | 2020 |
| Self-reconstruction network for fine-grained few-shot classification X Li, Z Li, J Xie, X Yang, JH Xue, Z Ma Pattern Recognition 153, 110485, 2024 | 9 | 2024 |
| Metric learning for categorical and ambiguous features: An adversarial method X Yang, M Dong, Y Guo, JH Xue Joint European Conference on Machine Learning and Knowledge Discovery in …, 2020 | 5 | 2020 |
| MSDH: Matched subspace detector with heterogeneous noise X Yang, L Zhang, L Gao, JH Xue Pattern Recognition Letters 125, 701-707, 2019 | 5 | 2019 |
| Toward Certified Robustness of Distance Metric Learning X Yang, Y Guo, M Dong, JH Xue IEEE Transactions on Neural Networks and Learning Systems, 2022 | 4 | 2022 |
| Generalization bound of gradient descent for non-convex metric learning M Dong, X Yang, R Zhu, Y Wang, JH Xue Advances in Neural Information Processing Systems 33, 9794-9805, 2020 | 4 | 2020 |
| Metric learning via maximizing the Lipschitz margin ratio M Dong, X Yang, Y Wu, JH Xue arXiv preprint arXiv:1802.03464, 2018 | 4 | 2018 |
| Development of a Real-Time Stress Detection System for Older Adults with Heart Rate Data P Di Campli San Vito, G Shakeri, J Ross, X Yang, S Brewster Proceedings of the 16th International Conference on PErvasive Technologies …, 2023 | 3 | 2023 |
| Train faster, perform better: modular adaptive training in over-parameterized models Y Shi, Y Chen, M Dong, X Yang, D Li, Y Wang, R Dick, Q Lv, Y Zhao, ... Advances in Neural Information Processing Systems 36, 25712-25730, 2023 | 2 | 2023 |
| Over-parameterized Model Optimization with Polyak-Łojasiewicz Condition Y Chen, Y Shi, M Dong, X Yang, D Li, Y Wang, R Dick, Q Lv, Y Zhao, ... | 2 | 2023 |
| PUAL: A Classifier on Trifurcate Positive-Unlabeled Data X Wang, X Yang, R Zhu, JH Xue arXiv preprint arXiv:2405.20970, 2024 | 1 | 2024 |
| Improving transferability of adversarial examples via bayesian attacks Q Li, Y Guo, X Yang, W Zuo, H Chen arXiv preprint arXiv:2307.11334, 2023 | 1 | 2023 |
| RadioMe: Adaptive Radio to Support People with Mild Dementia in Their Own Home. PDC San Vito, X Yang, SA Brewster, A Street, J Fachner, P Fernie, ... HHAI, 413-415, 2023 | 1 | 2023 |
| Few-Shot Classification With Feature Reconstruction Bias Z Li, L Wang, S Ding, X Yang, X Li 2022 Asia-Pacific Signal and Information Processing Association Annual …, 2022 | 1 | 2022 |
| Anti-noise relation network for few-shot learning X Li, J Yan, J Wu, Y Liu, X Yang, Z Ma 2020 Asia-Pacific Signal and Information Processing Association Annual …, 2020 | 1 | 2020 |
| Efficient Feature Aggregation and Scale-Aware Regression for Monocular 3D Object Detection Y Wang, X Yang, F Pu, Q Liao, W Yang arXiv preprint arXiv:2411.02747, 2024 | | 2024 |
Jing-Hao XueProfessor, Department of Statistical Science, University College LondonVerified email at ucl.ac.uk
