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

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

Wu, W., Xue, J.-H., Xu, C., Liu, C., Sun, X., Gao, C., Sang, N. and Fu, Y. (2025) Towards reliable and holistic visual in-context learning prompt selection. Advances in Neural Information Processing Systems (NeurIPS, acceptance rate %).
Huang, K., Yan, Y., Xue, J.-H. and Wang, H. (2025) WarpGAN: Warping-guided 3D GAN inversion with style-based novel view inpainting. Advances in Neural Information Processing Systems (NeurIPS, acceptance rate %).
Zhang, X., Chin, S., Xue, J.-H., Yang, X. and Yang, W. (2025) DARL: Mitigating gradient conflicts in long-tailed out-of-distribution learning. ACM International Conference on Multimedia (ACM MM, acceptance rate %).
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%), 10173-10182.
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

Chen, X., Yan, Y., Xue, J.-H., Shu, C. and Wang, H. (2025+) Hyperbolic self-paced multi-expert network for cross-domain few-shot facial expression recognition. IEEE Transactions on Image Processing.
Qiu, L., Chen, S., Xue, J.-H., Wang, D.-H., Zhu, S. and Yan, Y. (2025+) HOH-Net: High-order hierarchical middle-feature learning network for visible-infrared person re-identification. IEEE Transactions on Circuits and Systems for Video Technology.
Zheng, H., Wang, H., Zhu, R. and Xue, J.-H. (2025+) A brief review of deep learning methods in mortality forecasting. Annals of Actuarial Science.
Li, X., Xue, S., Xie, J., Yang, X., Ma, Z. and Xue, J.-H. (2025) Interactive triplet attention for few-shot fine-grained image classification. Neurocomputing, 655, 131377.
Wang, X., Zhu, R. and Xue, J.-H. (2026) UC-PUAL: A universally consistent classifier of positive-unlabelled data. Pattern Recognition, 169, 111892.
Li, X., Wang, L., Zhu, R., Ma, Z., Cao, J. and Xue, J.-H. (2025) SRML: Structure-relation mutual learning network for few-shot image classification. Pattern Recognition, 168, 111822.
Li, X., Ji, L., Zhu, R., Ma, Z. and Xue, J.-H. (2025) Clarity in chaos: Boosting few-shot classification through information suppression and sparsification. Pattern Recognition, 167, 111726.
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, 35(5), 4675-4685.
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, 35(4), 3094-3103.
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; Senior Lecturer, Glasgow, 2025); Dr Wang, X. (2020-2024); Dr Xia, W. (2021-2025)
Alma maters: Tsinghua University; KU Leuven; University of Glasgow
The Alan Turing Institute (Turing Fellow, 2018-2023)