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-); IEEE Transactions on Neural Networks and Learning Systems (2021-); IEEE Transactions on Circuits and Systems for Video Technology (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

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

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.
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. (2022+) Single-sample finger vein recognition via competitive and progressive sparse representation. IEEE Transactions on Biometrics, Behavior, and Identity Science.
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.
Mitchell, A., Erfanian, M., Soelistyo, C., Oberman, T., Kang, J., Aldridge, R., Xue, J.-H. and Aletta, F. (2022) Effects of soundscape complexity on urban noise annoyance ratings: A large-scale online listening experiment. International Journal of Environmental Research and Public Health, 19(22), 14872.
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. (2022+) APANet: Adaptive prototypes alignment network for few-shot semantic segmentation. IEEE Transactions on Multimedia.
Yan, Y., Xu, Y., Xue, J.-H., Yang, L., Wang, H. and Zhu, W. (2022+) Drop loss for person attribute recognition with imbalanced noisy-labeled samples. IEEE Transactions on Cybernetics.
Wan, J., Dong, Y., Xue, J.-H., Lin, L., Du, S., Dong, J., Yao, Y., Li, C. and Ma, H. (2022) Polarization-based probabilistic discriminative model for quantitative characterization of cancer cells. Biomedical Optics Express, 13(6), 3339-3354.
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.
Tao, W., Wang, X., Xue, J.-H., Su, W., Zhang, M., Yin, D., Zhu, D., Xie, Z. and Zhang, Y. (2022) Monitoring the damage of armyworm as a pest in summer corn by unmanned aerial vehicle imaging. Pest Management Science, 78(6), 2265-2276.
Ling, Y., Zhou, F., Guo, K. and Xue, J.-H. (2022) ASSP: An adaptive sample statistics-based pooling for full-reference image quality assessment. Neurocomputing, 493, 568-582.
Chen, S., Xue, J.-H., Chang, J., Zhang, J., Yang, J. and Tian, Q. (2022) SSL++: Improving self-supervised learning by mitigating the proxy task-specificity problem. IEEE Transactions on Image Processing, 31, 1134-1148.
Ruan, D., Mo, R., Yan, Y., Chen, S., Xue, J.-H. and Wang, H. (2022) Adaptive deep disturbance-disentangled learning for facial expression recognition. International Journal of Computer Vision, 130, 455-477.
An, S., Liao, Q., Lu, Z. and Xue, J.-H. (2022) Efficient semantic segmentation via self-attention and self-distillation. IEEE Transactions on Intelligent Transportation Systems, 23(9), 15256-15266.
Ma, H., Liu, S., Liao, Q., Zhang, J. and Xue, J.-H. (2022) Defocus image deblurring network with defocus map estimation as auxiliary task. IEEE Transactions on Image Processing, 31, 216-226.
Xie, J., Ma, Z., Xue, J.-H., Zhang, G., Sun, J., Zheng, Y. and Guo, J. (2021) DS-UI: Dual-supervised mixture of Gaussian mixture models for uncertainty inference in image recognition. IEEE Transactions on Image Processing, 30, 9208-9219.
Weng, X., Yan, Y., Chen, S., Xue, J.-H. and Wang, H. (2022) Stage-aware feature alignment network for real-time semantic segmentation of street scenes. IEEE Transactions on Circuits and Systems for Video Technology, 32(7), 4444-4459.
Dong, Y., Wan, J., Wang, X., Xue, J.-H., Zou, J., He, H., Li, P., Hou, A. and Ma, H. (2021) A polarization-imaging-based machine learning framework for quantitative pathological diagnosis of cervical precancerous lesions. IEEE Transactions on Medical Imaging, 40(12), 3728-3738.
Xia, W., Yang, Y. and Xue, J.-H. (2021) Cali-Sketch: Stroke calibration and completion for high-quality face image generation from human-like sketches. Neurocomputing, 460, 256-265.
Sogi, N., Zhu, R., Xue, J.-H. and Fukui, K. (2022) Constrained mutual convex cone method for image set based recognition. Pattern Recognition, 121, 108190.
Xie, J., Ma, Z., Lei, J., Zhang, G., Xue, J.-H., Tan, Z.-H. and Guo, J. (2022) Advanced dropout: A model-free methodology for Bayesian dropout optimization. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(9), 4605-4625.
Han, X., Zhang, H., Xue, J.-H. and Sun, W. (2022) A spectral-spatial jointed spectral super-resolution and its application to HJ-1A satellite images. IEEE Geoscience and Remote Sensing Letters, 19, 5505905.
Zhang, Y., Lu, Z., Zhang, X., Xue, J.-H. and Liao, Q. (2022) Deep learning in lane marking detection: A survey. IEEE Transactions on Intelligent Transportation Systems, 23(7), 5976-5992.
Liu, L., Wang, B., Kuang, Z., Xue, J.-H., Chen, Y., Yang, W., Liao, Q. and Zhang, W. (2022) GenDet: Meta learning to generate detectors from few shots. IEEE Transactions on Neural Networks and Learning Systems, 33(8), 3448-3460.
Li, X., Wu, J., Sun, Z., Ma, Z., Cao, J. and Xue, J.-H. (2021) BSNet: Bi-similarity network for few-shot fine-grained image classification. IEEE Transactions on Image Processing, 30, 1318-1331.
Zhang, G., Xue, J.-H., Xie, P., Yang, S. and Wang, G. (2021) Non-local aggregation for RGB-D semantic segmentation. IEEE Signal Processing Letters, 28, 658-662.
Li, X., Sun, Z., Xue, J.-H. and Ma, Z. (2021) A concise review of recent few-shot meta-learning methods. Neurocomputing, 456, 463-468.
Li, X., Chang, D., Ma, Z., Tan, Z.-H., Xue, J.-H., Cao, J. and Guo, J. (2021) Deep InterBoost networks for small-sample image classification. Neurocomputing, 456, 492-503.
Deng, G., Ming, Y. and Xue, J.-H. (2021) RFRN: A recurrent feature refinement network for accurate and efficient scene text detection. Neurocomputing, 453, 465-481.
Ming, Y., Feng, F., Li, C. and Xue, J.-H. (2021) 3D-TDC: A 3D temporal dilation convolution framework for video action recognition. Neurocomputing, 450, 362-371.
Liu, Y., Peng, J., Xue, J.-H., Chen, Y. and Fu, Z.-H. (2021) TSingNet: Scale-aware and context-rich feature learning for traffic sign detection and recognition in the wild. Neurocomputing, 447, 10-22.
Li, Z., Ming, Y., Yang, L. and Xue, J.-H. (2021) Mutual-learning sequence-level knowledge distillation for automatic speech recognition. Neurocomputing, 428, 259-267.
Lu, X., Qiao, Y., Zhu, R., Wang, G., Ma, Z. and Xue, J.-H. (2021) Generalisations of stochastic supervision models. Pattern Recognition, 109, 107575.
Zhang, X., Yan, Y., Xue, J.-H., Hua, Y. and Wang, H. (2021) Semantic-aware occlusion-robust network for occluded person re-identification. IEEE Transactions on Circuits and Systems for Video Technology, 31(7), 2764-2778.
Li, X., Yu, L., Yang, X., Ma, Z., Xue, J.-H., Cao, J. and Guo, J. (2021) ReMarNet: Conjoint relation and margin learning for small-sample image classification. IEEE Transactions on Circuits and Systems for Video Technology, 31(4), 1569-1579.
Xia, W., Yang, Y., Xue, J.-H. and Xiao, J. (2021) Domain fingerprints for no-reference image quality assessment. IEEE Transactions on Circuits and Systems for Video Technology, 31(4), 1332-1341.
Mao, L., Yan, Y., Xue, J.-H. and Wang, H. (2022) Deep multi-task multi-label CNN for effective facial attribute classification. IEEE Transactions on Affective Computing, 13(2), 818-828.
Zhang, Y., Lu, Z., Ma, D., Xue, J.-H. and Liao, Q. (2021) Ripple-GAN: Lane line detection with ripple lane line detection network and Wasserstein GAN. IEEE Transactions on Intelligent Transportation Systems, 22(3), 1532-1542.
Zhang, W., Chen, Y., Yang, W., Wang, G., Xue, J.-H. and Liao, Q. (2021) Class-variant margin normalized softmax loss for deep face recognition. IEEE Transactions on Neural Networks and Learning Systems, 32(10), 4742-4747.
Ma, Z., Lu, X., Xie, J., Yang, Z., Xue, J.-H., Tan, Z.-H., Xiao, B. and Guo, J. (2020+) On the comparisons of decorrelation approaches for non-Gaussian neutral vector variables. IEEE Transactions on Neural Networks and Learning Systems.
Liu, L., Kuang, Z., Chen, Y., Xue, J.-H., Yang, W. and Zhang, W. (2021) IncDet: In defense of elastic weight consolidation for incremental object detection. IEEE Transactions on Neural Networks and Learning Systems, 32(6), 2306-2319.
Past Journal Publications (2008-2020)

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-)