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

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Research Interests

• Statistical pattern recognition, machine learning, computer vision

Editorial Boards

• Senior Area Editor: IEEE Transactions on Circuits and Systems for Video Technology (2025-)
• Associate Editor: IEEE Transactions on Cybernetics (2022-2024); IEEE Transactions on Neural Networks and Learning Systems (2021-2023; Outstanding Associate Editor of 2022); IEEE Transactions on Circuits and Systems for Video Technology (2021-2024; Best Associate Editor Award of 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

• Liu, Y., Shang, X., Zhang, Y., Lu, Y., Gong, C., Xue, J.-H. and Wang, H. (2025) Mind the gap: Confidence discrepancy can guide federated semi-supervised learning across pseudo-mismatch. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, acceptance rate 22.1%).
• Wang, H. and Xue, J.-H. (2025) 360PanT: Training-free text-driven 360-degree panorama-to-panorama translation. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV, early acceptance rate 12.1%), 212-221.
• Past Publications

Journal Publications

• Wang, X., Yang, X., Zhu, R. and Xue, J.-H. (2025) PUAL: A classifier on trifurcate positive-unlabelled data. Neurocomputing, 637, 130080.
• Li, Z., Liu, Z., Chang, D., Sain, A., Li, X., Ma, Z., Xue, J.-H. and Song, Y.-Z. (2025) Self-randomized focuses effectively boost metric-based few-shot classifiers. Pattern Recognition, 164, 111538.
• Wang, C., Yan, Y., Xue, J.-H. and Wang, H. (2025) I²OL-Net: Intra-inter objectness learning network for point-supervised X-ray prohibited item detection. IEEE Transactions on Information Forensics and Security, 20, 3045-3059.
• Li, X., Ding, S., Xie, J., Yang, X., Ma, Z. and Xue, J.-H. (2025) CDN4: A cross-view deep nearest neighbor neural network for fine-grained few-shot classification. Pattern Recognition, 163, 111466.
• Ding, H., Yan, Y., Lu, Y., Xue, J.-H. and Wang, H. (2025) Uncertainty-aware label refinement on hypergraphs for personalized federated facial expression recognition. IEEE Transactions on Circuits and Systems for Video Technology.
• Li, X., Lu, P., Zhu, R., Ma, Z., Cao, J. and Xue, J.-H. (2025) Rise by lifting others: Interacting features to uplift few-shot fine-grained classification. IEEE Transactions on Circuits and Systems for Video Technology.
• Chen, R., Yan, Y., Xue, J.-H., Lu, Y. and Wang, H. (2025) Augmentation matters: A mix-paste method for X-ray prohibited item detection under noisy annotations. IEEE Transactions on Information Forensics and Security, 20, 234-248.
• Chen, X., Yan, Y., Xue, J.-H., Wang, N. and Wang, H. (2025) Consistency-driven feature scoring and regularization network for visible-infrared person re-identification. Pattern Recognition, 159, 111131.
• Wang, X., Zhu, R. and Xue, J.-H. (2025) GKF-PUAL: A group kernel-free approach to positive-unlabeled learning with variable selection. Information Sciences, 690, 121574.
• Past Publications

Acknowledgements

• Mentors: Prof Hall, P. (1, 2); Prof Titterington, D.M. (1, 2); Prof Lin, X.; Prof Zhang, Y.-J.
• PhD graduates: Dr Dong, M. (2013-2018; Lecturer, Bath, 2024); 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); Dr Wang, X. (2020-2024)
• Alma maters: Tsinghua University; KU Leuven; University of Glasgow
• The Alan Turing Institute (Turing Fellow, 2018-2023)