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 (2022-2024); 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

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, round-1 acceptance rate 12.1%).
Yang, S., Li, X., Chang, D., Ma, Z. and Xue, J.-H. (2024) Channel-spatial support-query cross-attention for fine-grained few-shot image classification. ACM International Conference on Multimedia (ACM MM, acceptance rate 26.2%).
Xia, W., de Charette, R., Öztireli, C. and Xue, J.-H. (2024) UMBRAE: Unified multimodal brain decoding. European Conference on Computer Vision (ECCV, acceptance rate 27.9%).
Yan, S., Qiu, X., Liao, Q., Xue, J.-H. and Liu, S. (2024) Reschedule diffusion-based bokeh rendering. International Joint Conference on Artificial Intelligence (IJCAI, acceptance rate 14.0%), 1543-1551.
Zhang, Z., Yan, Y., Xue, J.-H. and Wang, H. (2024) Spatial-contextual discrepancy information compensation for GAN inversion. AAAI Conference on Artificial Intelligence (AAAI, acceptance rate 23.75%), 38(7), 7432-7440.
Qiu, L., Chen, S., Yan, Y., Xue, J.-H., Wang, D.-H.. and Zhu, S. (2024) High-order structure based middle-feature learning for visible-infrared person re-identification. AAAI Conference on Artificial Intelligence (AAAI, acceptance rate 23.75%), 38(5), 4596-4604.
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 41.5%), 8226-8235.
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 41.5%), 4933-4943.
Past Publications

Journal Publications

Chien, J.-T., Chen, M.-Y., Lee, C.-H. and Xue, J.-H. (2024+) Meta soft prompting and learning. APSIPA Transactions on Signal and Information Processing.
Huang, G., Yan, Y., Xue, J.-H., Zhu, W. and Luo, X. (2024+) Interpretable heterogeneous teacher-student learning framework for hybrid-supervised pulmonary nodule detection. IEEE Transactions on Circuits and Systems for Video Technology.
Li, X., Guo, Z., Zhu, R., Ma, Z., Guo, J. and Xue, J.-H. (2024) A simple scheme to amplify inter-class discrepancy for improving few-shot fine-grained image classification. Pattern Recognition, 156, 110736.
Zhang, X., Cheng, I., Jing, Y., Shi, J., Li, C., Xue, J.-H., Tam, L.-S. and Yu, W. (2024) DCES-PA: Deformation-controllable elastic shape model for 3D bone proliferation analysis using hand HR-pQCT images. Computers in Biology and Medicine, 175, 108533.
Li, X., Li, Z., Xie, J., Yang, X., Xue, J.-H. and Ma, Z. (2024) Self-reconstruction network for fine-grained few-shot classification. Pattern Recognition, 153, 110485.
Lv, Y., Huang, G., Yan, Y., Xue, J.-H., Chen, S. and Wang, H. (2024) Visual-textual attribute learning for class-incremental facial expression recognition. IEEE Transactions on Multimedia, 26, 8038-8051.
Wu, W., Shao, Y., Gao, C., Xue, J.-H. and Sang, N. (2024) Query-centric distance modulator for few-shot classification. Pattern Recognition, 151, 110380.
Myung, W., Su, N., Xue, J.-H. and Wang, G. (2024) DeGCN: Deformable graph convolutional networks for skeleton-based action recognition. IEEE Transactions on Image Processing, 33, 2477-2490.
Lv, Y., Yan, Y., Xue, J.-H., Chen, S. and Wang, H. (2024) Relationship-guided knowledge transfer for class-incremental facial expression recognition. IEEE Transactions on Image Processing, 33, 2293-2304.
Yang, F., Jiang, R., Yan, Y., Xue, J.-H., Wang, B. and Wang, H. (2024) Dual-mode learning for multi-dataset X-ray security image detection. IEEE Transactions on Information Forensics and Security, 19, 3510-3524.
Xu, Y., Yan, Y., Xue, J.-H., Hua, Y. and Wang, H. (2024) Unpaired caricature-visual face recognition via feature decomposition-restoration-decomposition. IEEE Transactions on Circuits and Systems for Video Technology, 34(7), 5693-5703.
Zhang, J., Liao, Q., Ma, H., Xue, J.-H., Yang, W. and Liu, S. (2024) Exploit the best of both end-to-end and map-based methods for multi-focus image fusion. IEEE Transactions on Multimedia, 26, 6411-6423.
Zhao, P., Song, Y., Wang, S., Xue, J.-H., Zhao, S., Liao, Q. and Yang, W. (2024) VPCFormer: A transformer-based multi-view finger vein recognition model and a new benchmark. Pattern Recognition, 148, 110170.
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.
Xia, W. and Xue, J.-H. (2024) A survey on deep generative 3D-aware image synthesis. ACM Computing Surveys, 56(4), 90.
Past Publications

Acknowledgements

Mentors: Prof Hall, P.; Prof Titterington, D.M.
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)