Latest News

  • 09/2023: Currently seeking for highly motivated MSc (Research) and PhD students. Please read here for more information.

 

Research Interests

  • Machine learning under data paucity (or learning with small data): few-shot learning, contrastive learning, domain adaptation

  • Trustworthy machine learning: adversarial attacks and defenses, uncertainty quantification, interpretability

  • Machine learning for medical science: medical image analysis, disease detection and diagnosis, disease progression modeling

 

Publications

Selected Conference Publications

  • Shi, Y., Chen, Y., Dong, M., Yang, X., Li, D., Wang, Y., Dick, R., Lv Q., Zhao, Y., Yang, F., Lu, T., Gu, N., & Shang, L. (2023). Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models. Advances in Neural Information Processing Systems (NeurIPS). [Paper]

  • Chen, Y., Shi, Y., Dong, M., Yang, X., Li, D., Wang, Y., Dick, R., Lv Q., Zhao, Y., Yang, F., Gu, N., & Shang, L. (2023). Over-parameterized model optimization with Polyak-Łojasiewicz condition. International Conference on Learning Representations (ICLR). [Paper]

  • Dong, M.*, Yang, X.*, Zhu, R., Wang, Y., & Xue, J. H. (2020). Generalization bound of gradient descent for non-convex metric learning. Advances in Neural Information Processing Systems (NeurIPS). [Paper][Code]

  • Yang, X.*, Dong, M.*, Guo, Y., & Xue, J. H. (2020). Metric learning for categorical and ambiguous features: An adversarial method. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD). [Paper][Code]

Journal Publications

  • Li, X.*, Yang, X.*, Ma, Z., Xue, J. H. (2023). Deep metric learning for few-shot image classification: A Review of recent developments. Pattern Recognition, vol. 138, Article 109381. [Paper]

  • Yang, X.*, Guo, Y.*, Dong, M., & Xue, J. H. (2022). Towards certified robustness of metric learning. IEEE Transactions on Neural Networks and Learning Systems. [Paper][Code]

  • Lu, Y., Wang, B., Zhao, Y., Yang, X., Li, L., Dong, M., Lv, Q., Zhou, F., Gu, N. & Shang, L. (2022). Physics-informed surrogate modeling for hydro-fracture geometry prediction based on deep learning. Energy, 31(4), 1569-1579. [Paper]

  • Li, X.*, Yu, L.*, Yang, X.*, Ma, Z., Xue, J. H., Cao. J & Guo, J. (2020). ReMarNet: Conjoint relation and margin learning for small-sample image classification. IEEE Transactions on Circuits and Systems for Video Technology, 31(4), 1569-1579. [Paper]

  • Yang, X., Dong, M., Wang, Z., Gao, L., Zhang, L., & Xue, J. H. (2020). Data-augmented matched subspace detector for hyperspectral subpixel target detection. Pattern Recognition, vol. 106, Article 107464. [Paper]

  • Yang, X., Zhang, L., Gao, L., & Xue, J. H. (2019). MSDH: Matched subspace detector with heterogeneous noise. Pattern Recognition Letters, vol. 125, pp. 701-707. [Paper]

  • Dong, M., Wang, Y., Yang, X., & Xue, J. H. (2019). Learning local metrics and influential regions for classification. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 42, pp. 1522-1529. [Paper]

Full list of publications in Google Scholar.

 

Professional Activities

Editorial Boards

  • Associate Editor, Neurocomputing (2021-)

Guest Editorials

Reviewer

  • Journal reviewer: IEEE Transactions on Geoscience and Remote Sensing (TGRS), IEEE Transactions on Image Processing (TIP), IEEE Transactions on Medical Imaging (TMI), IEEE Transactions on Neural Networks and Learning Systems (TNNLS), IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Pattern Recognition, etc.

  • Conference PC member: ECML PKDD, NeurIPS, etc.

 

Acknowledgements