-
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
-
- 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-)