Dr Xi Yang is currently an Assistant Professor at Xi’an Jiaotong-Liverpool University. She received PhD degree, B.Sc. degree and M.Sc. degree with distinction from the University of Liverpool, Liverpool, U.K.. Her research interests lie in the field of Bayesian probabilistic approaches to machine learning, pattern recognition and deep learning. She has recently worked on Bayesian nonparametric methods, Unsupervised domain adaptation. Her publications can be founded via Google Scholar https://scholar.google.com/citations?user=A0Z8mKIAAAAJ
Qualifications
Ph.D. in Electrical Engineering and Electronics from University of Liverpool
M.Sc in Adv. Computer Science with Internet Econ. from University of Liverpool
B.Sc in Mathematics with Finance from University of Liverpool
Experience
Assistant Professor, Xi’an Jiaotong-Liverpool University, Suzhou, China
Machine Learning, Pattern Recognition and Deep Learning
Articles
SSD: Towards Better Text-Image Consistency Metric in Text-to-Image Generation, Z. Tan, X. Yang, Z. Ye, Q. Wang, Y. Yan, A. Nguye, K. Huang, Pattern Recognition, 2023
Mind the Gap: Alleviating Local Imbalance for Unsupervised Cross-Modality Medical Image Segmentation, Z. Su, K. Yao, X. Yang, Q. Wang, Y. Yan, J. Sun, K. Huang, IEEE journal of biomedical and health informatics, 2023
Generalised Image Outpainting with U-Transformer, Penglei Gao, Xi Yang, Rui Zhang, John Y. Goulermas, Yujie Geng, Yuyao Yan, Kaizhu Huang, Neural Networks, 2023.
Explainable Tensorized Neural Ordinary Differential Equations for Arbitrary-step Time Series Prediction, Penglei Gao, Xi Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas, IEEE Transactions on Knowledge and Data Engineering, 2022
A novel deep density model for unsupervised learning X Yang, K Huang, R Zhang, JY Goulermas Cognitive Computation 11 (6), 778-788
A new two-layer mixture of factor analyzers with joint factor loading model for the classification of small dataset problems X Yang, K Huang, R Zhang, JY Goulermas, A Hussain Neurocomputing 312, 352-363
Learning latent features with infinite nonnegative binary matrix trifactorization X Yang, K Huang, R Zhang, A Hussain IEEE Transactions on Emerging Topics in Computational Intelligence 2 [6],450-4636 …
Joint Learning of Unsupervised Dimensionality Reduction and Gaussian Mixture Model X Yang, K Huang, JY Goulermas, R Zhang Neural Processing Letters 45 (3), 791-806
Proceedings
Divide and Conquer: 3D Point Cloud Instance Segmentation with Point-Wise Binarization, W. Zhao, Y. Yan, C. Yang, J. Ye, X. Yang, K. Huang, IEEE Int. Conf. on Computer Vision, 2023
Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentation, Su Z, Yao K, Yang X, et al. , Association for the Advancement of Artificial Intelligence, 2023.
Outpainting by queries, K Yao, P Gao, X Yang, J Sun, R Zhang, K Huang, European Conference on Computer Vision, 153-169, 2022
VSB-DVM: An End-to-End Bayesian Nonparametric Generalization of Deep Variational Mixture Model X Yang, Y Yan, K Huang, R Zhang 2019 IEEE International Conference on Data Mining (ICDM), 688-697
Learning Density Models via Structured Latent Variables X Yang PQDT-Global
Deep Mixtures of Factor Analyzers with Common Loadings: A Novel Deep Generative Approach to Clustering X Yang, K Huang, R Zhang International Conference on Neural Information Processing, 709-719
Two-layer Mixture of Factor Analyzers with Joint Factor Loading X Yang, K Huang, R Zhang, JY Goulermas 2015 International Joint Conference on Neural Networks (IJCNN), 1-8
Unsupervised dimensionality reduction for gaussian mixture model X Yang, K Huang, R Zhang International conference on neural information processing, 84-92
Chapters, cases, readings and supplements
Introduction to Deep Density Models with Latent Variables X Yang, K Huang, R Zhang, A Hussain Deep Learning: Fundamentals, Theory and Applications, 1-29
Courses taught
INT 410 Advanced Pattern Recognition
INT 304 Pattern Recognition in Computer Vision
Awards and honours
2020 Jiangsu Province Innovation & Entrepreneurship Doctor
