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Dr Jing-Hao Xue (J.-H. Xue)
Professor of Statistical Pattern Recognition,
Department of Statistical Science,
University College London,
London WC1E 6BT, UK; jinghao.xue -aT- ucl.ac.uk
- Research Interests
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- Statistical pattern recognition, machine learning, computer vision
- Editorial Boards
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- Associate Editor: IEEE Transactions on Cybernetics (2022-2023); IEEE Transactions on Neural Networks and Learning Systems (2021-2023; Outstanding Associate Editor, 2022); IEEE Transactions on Circuits and Systems for Video Technology (2021-2024; Best Associate Editor, 2021); Neurocomputing (2020-2021); Digital Signal Processing (2020-2021)
- Guest Editorials
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- Selected Conference Publications
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Xia, W., de Charette, R., Ă–ztireli, C. and Xue, J.-H. (2024)
DREAM: Visual decoding from reversing human visual system.
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV, acceptance rate 41.7%).
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Wang, H., Xiang, X., Fan, Y. and Xue, J.-H. (2024)
Customizing 360-degree panoramas through text-to-image diffusion models.
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV, acceptance rate 41.7%).
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Zou, X., Yan, Y., Xue, J.-H., Chen, S. and Wang, H. (2022)
Learn-to-decompose: Cascaded decomposition network for cross-domain few-shot facial expression recognition.
European Conference on Computer Vision (ECCV, acceptance rate 28%), 683-700.
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Ling, Y. and Xue, J.-H. (2022)
Dimension reduction for high-dimensional small counts with KL divergence.
Conference on Uncertainty in Artificial Intelligence (UAI, acceptance rate 32.3%), PMLR 180, 1210-1220.
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Zou, X., Yan, Y., Xue, J.-H., Chen, S. and Wang, H. (2022)
When facial expression recognition meets few-shot learning: A joint and alternate learning framework.
AAAI Conference on Artificial Intelligence (AAAI, acceptance rate 15%), 36(5), 5367-5375.
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Shen, X., Lu, Z., Zhang, Y. and Xue, J.-H. (2021)
Lane line detection based on parallel spatial separation convolution.
British Machine Vision Conference (BMVC, acceptance rate (Oral) 3.3%).
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Xiao, Z., Xue, J.-H., Xie, P. and Wang, G. (2021)
FETNet: Feature exchange transformer network for RGB-D object detection.
British Machine Vision Conference (BMVC, acceptance rate 36.2%).
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Mo, R., Yan, Y., Xue, J.-H., Chen, S. and Wang, H. (2021)
D3Net: Dual-branch disturbance disentangling network for facial expression recognition.
ACM International Conference on Multimedia (ACM MM, acceptance rate 27.9%), 779-787.
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Zhou, C., Lu, Z., Li, L., Yan, Q. and Xue, J.-H. (2021)
How video super-resolution and frame interpolation mutually benefit.
ACM International Conference on Multimedia (ACM MM, acceptance rate 27.9%), 5445-5453.
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Xu, Y., Yan, Y., Xue, J.-H., Lu, Y. and Wang, H. (2021)
Small-vote sample selection for label-noise learning.
Joint European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD, acceptance rate 21%), 729-744.
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Ling, Y., Liu, Z. and Xue, J.-H. (2021)
Dimension reduction for data with heterogeneous missingness.
Conference on Uncertainty in Artificial Intelligence (UAI, acceptance rate 26.5%), PMLR 161, 1310-1320.
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Liu, L., Zhang, S., Kuang, Z., Xue, J.-H., Zhou, A., Wang, X., Chen, Y., Yang, W., Liao, Q. and Zhang, W. (2021)
Group Fisher pruning for practical network compression.
International Conference on Machine Learning (ICML, acceptance rate 21.5%), PMLR 139, 7021-7032.
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Xia, W., Yang, Y., Xue, J.-H. and Wu, B. (2021)
TediGAN: Text-guided diverse face image generation and manipulation.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, acceptance rate 23.7%), 2256-2265.
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Shu, Y., Yan, Y., Chen, S., Xue, J.-H., Shen, C. and Wang, H. (2021)
Learning spatial-semantic relationship for facial attribute recognition with limited labeled data.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, acceptance rate 23.7%), 11916-11925.
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Sun, Z., Wu, J., Li, X., Yang, W. and Xue, J.-H. (2021)
Amortized Bayesian prototype meta-learning: A new probabilistic meta-learning approach to few-shot image classification.
International Conference on Artificial Intelligence and Statistics (AISTATS, acceptance rate 29.8%), PMLR 130, 1414-1422.
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Liu, L., Li, Y., Kuang, Z., Xue, J.-H., Chen, Y., Yang, W., Liao, Q. and Zhang, W. (2021)
Towards impartial multi-task learning.
International Conference on Learning Representations (ICLR, acceptance rate 28.7%).
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Dong, M., Yang, X., Zhu, R., Wang, Y. and Xue, J.-H. (2020)
Generalization bound of gradient descent for non-convex metric learning.
Advances in Neural Information Processing Systems (NeurIPS, acceptance rate 20.1%).
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Xia, W., Yang, Y., Xue, J.-H. and Feng, W. (2020)
Controllable continuous gaze redirection.
ACM International Conference on Multimedia (ACM MM, acceptance rate 27.9%), 1782-1790.
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Ruan, D., Yan, Y., Chen, S., Xue, J.-H. and Wang, H. (2020)
Deep disturbance-disentangled learning for facial expression recognition.
ACM International Conference on Multimedia (ACM MM, acceptance rate 27.9%), 2833-2841.
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Yang, X., Dong, M., Guo, Y. and Xue, J.-H. (2020)
Metric learning for categorical and ambiguous features: An adversarial method.
Joint European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD, acceptance rate 19%), 223-238.
- Journal Publications
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Jiang, R., Yan, Y., Xue, J.-H., Chen, S., Wang, N. and Wang, H. (2023+)
Knowledge distillation meets label noise learning: Ambiguity-guided mutual label refinery.
IEEE Transactions on Neural Networks and Learning Systems.
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Wan, J., Dong, Y., Yao, Y., Xiao, W., Huang, R., Xue, J.-H., Peng, R., Pei, H., Tian, X., Liao, R., He, H., Zeng, N., Li, C. and Ma, H. (2023+)
Unsupervised learning of pixel clustering in Mueller matrix images for mapping microstructural features in pathological tissues.
Communications Engineering.
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Xia, W. and Xue, J.-H. (2024)
A survey on deep generative 3D-aware image synthesis.
ACM Computing Surveys, 56(4), 90.
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An, S., Liao, Q., Lu, Z. and Xue, J.-H. (2023+)
Dual correlation network for efficient video semantic segmentation.
IEEE Transactions on Circuits and Systems for Video Technology.
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Li, X., Song, Q., Wu, J., Zhu, R., Ma, Z. and Xue, J.-H. (2023+)
Locally-enriched cross-reconstruction for few-shot fine-grained image classification.
IEEE Transactions on Circuits and Systems for Video Technology.
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Yan, Y., Shu, Y., Chen, S., Xue, J.-H., Shen, C. and Wang, H. (2023)
SPL-Net: Spatial-semantic patch learning network for facial attribute recognition with limited labeled data.
International Journal of Computer Vision, 131, 2097-2121.
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Sun, T., Zhang, G., Yang, W., Xue, J.-H. and Wang, G. (2023)
TROSD: A new RGB-D dataset for transparent and reflective object segmentation in practice.
IEEE Transactions on Circuits and Systems for Video Technology, 33(10), 5721-5733.
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Zhang, X., Cheng, I., Liu, S., Li, C., Xue, J.-H., Tam, L.-S. and Yu, W. (2023)
Automatic 3D joint erosion detection for the diagnosis and monitoring of rheumatoid arthritis using hand HR-pQCT images.
Computerized Medical Imaging and Graphics, 106, 102200.
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Zhu, R., Zhou, F., Yang, W. and Xue, J.-H. (2023)
Statistical hypothesis testing as a novel perspective of pooling for image quality assessment.
Signal Processing: Image Communication, 114, 116942.
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Li, X., Yang, X., Ma, Z. and Xue, J.-H. (2023)
Deep metric learning for few-shot image classification: A review of recent developments.
Pattern Recognition, 138, 109381.
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Zhao, P., Chen, Z., Xue, J.-H., Feng, J., Yang, W., Liao, Q. and Zhou, J. (2023)
Single-sample finger vein recognition via competitive and progressive sparse representation.
IEEE Transactions on Biometrics, Behavior, and Identity Science, 5(2), 209-220.
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Zhao, P., Zhao, S., Xue, J.-H., Yang, W. and Liao, Q. (2023)
The neglected background cues can facilitate finger vein recognition.
Pattern Recognition, 136, 109199.
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Li, X., Li, Y., Zheng, Y., Zhu, R., Ma, Z., Xue, J.-H. and Cao, J. (2023)
ReNAP: Relation network with adaptive prototypical learning for few-shot classification.
Neurocomputing, 520, 356-364.
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Yang, X., Guo, Y., Dong, M. and Xue, J.-H. (2022+)
Towards certified robustness of distance metric learning.
IEEE Transactions on Neural Networks and Learning Systems.
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Ling, Y., Liu, Z. and Xue, J.-H. (2022+)
Survival analysis of high-dimensional data with graph convolutional networks and geometric graphs.
IEEE Transactions on Neural Networks and Learning Systems.
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Jiang, R., Yan, Y., Xue, J.-H., Wang, B. and Wang, H. (2022+)
When sparse neural network meets label noise learning: A multi-stage learning framework.
IEEE Transactions on Neural Networks and Learning Systems.
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Xia, W., Zhang, Y., Yang, Y., Xue, J.-H., Zhou, B. and Yang, M.-H. (2023)
GAN inversion: A survey.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(3), 3121-3138.
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Chen, J., Gao, B.-B., Lu, Z., Xue, J.-H., Wang, C. and Liao, Q. (2023)
APANet: Adaptive prototypes alignment network for few-shot semantic segmentation.
IEEE Transactions on Multimedia, 25, 4361-4373.
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Yan, Y., Xu, Y., Xue, J.-H., Yang, L., Wang, H. and Zhu, W. (2023)
Drop loss for person attribute recognition with imbalanced noisy-labeled samples.
IEEE Transactions on Cybernetics, 53(11), 7071-7084.
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Fukui, K., Sogi, N., Kobayashi, T., Xue, J.-H. and Maki, A. (2023)
Discriminant feature extraction by generalized difference subspace.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(2), 1618-1635.
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Past Journal Publications (2008-2022)
- Acknowledgements
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Mentors: Prof Hall, P.; Prof Titterington, D.M.
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PhD Graduates: Dr Dong, M. (2013-2018); Dr Kazakeviciute, A. (2013-2017; Lecturer, Brunel, 2018); Dr Wang, Z. (2013-2017); Dr Zhu, R. (2013-2017; Lecturer, Kent, 2017; Senior Lecturer, City, 2021); Dr Lu, X. (2015-2020); Dr Ling, Y. (2016-2022); Dr Yang, X. (2016-2020; Lecturer, Glasgow, 2020)
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Alma maters: Tsinghua University; KU Leuven; University of Glasgow
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The Alan Turing Institute (Turing Fellow, 2018-2023)