Jing-Hao Xue's Homepage

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

Statistical pattern recognition, machine learning, computer vision

Editorial Boards

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

Guest Editorial: Special Issue on "Deep Learning with Small Samples" (2021) Neurocomputing, 456, 461-462.
Guest Editorial: Special Issue on "Recent Advances in Theory, Methodology and Applications of Imbalanced Learning" (2020) IEEE Transactions on Neural Networks and Learning Systems, 31(8), 2688-2690.
Guest Editorial: Special Issue on "Deep Learning for Image Super-Resolution" (2020) Neurocomputing, 398, 291-292.
Guest Editorial: Special Issue on "Advances in Statistical Methods-based Visual Quality Assessment" (2020) Signal Processing: Image Communication, 83, 115695.

Selected Conference Publications

Xia, W., de Charette, R., Öztireli, 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%).
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%).
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.
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.
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.
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%).
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%).
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.
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.
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.
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.
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.
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.
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.
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.
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%).
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%).
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.
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.
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

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.
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.
Xia, W. and Xue, J.-H. (2024) A survey on deep generative 3D-aware image synthesis. ACM Computing Surveys, 56(4), 90.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Past Journal Publications (2008-2022)

Acknowledgements

Mentors: Prof Hall, P.; Prof Titterington, D.M.
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)
Alma maters: Tsinghua University; KU Leuven; University of Glasgow
The Alan Turing Institute (Turing Fellow, 2018-2023)