Projects per year
Personal profile
Personal profile
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
Research interests
Probabilistic Model, Domaimn Adaptation, Text-Image Synthesis
Machine Learning, Pattern Recognition and Deep Learning
Experience
Assistant Professor, Xi’an Jiaotong-Liverpool University, Suzhou, China
Teaching
INT 410 Advanced Pattern Recognition
INT 304 Pattern Recognition in Computer Vision
Awards and honours
2020 Jiangsu Province Innovation Entrepreneurship Doctor
Education/Academic qualification
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
Person Types
- Staff
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Generalization analysis for open domain adaptation based on vicinal risk minimization
1/01/24 → 31/12/26
Project: Governmental Research Project
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VAE-based Unsupervised Representation Learning Theory and Applicarions
1/01/23 → 31/12/25
Project: Governmental Research Project
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Suzhou Municipal Key Lab for Intelligent Virtual Engineering
Yue, Y., Liang, H. N., Lim, E. G., Man, K. L., Ma, F., Wang, X., Guan, S., Wang, Q., Xiao, J., Ma, J., Meng, J., Zhang, C., Chen, M., Chen, B., Wang, W., Craig, P., Sun, J., Liu, G., Xia, J., Zhu, X., Yu, L., Zhang, J., Qi, J., Huang, M., Yang, R., Li, S., Dong, Y., Yang, X., Li, Y., Wang, J., Zhang, H., Wei, Z., Sun, Q., Elsheikh, A., Levers, A., Konev, B., Coenen, F., Atkinson, K., Gasieniec, L., Wong, P., Payne, T., Garcia-Fernandez, A. & Zhang, Y.
1/11/22 → 30/10/25
Project: Governmental Research Project
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AI Innovation Platform
Lim, E. G., Yue, Y., Man, K. L., Ma, F., Wang, Q., Xiao, J., Meng, J., Liang, H. N., Zhao, C., Ma, J., Jin, X., Wang, X., Yang, X., Chen, M., Guan, S., Xue, F., Zhang, C., Stefanidis, A., Sun, Q. & Xu, D.
1/09/22 → 30/08/24
Project: Governmental Research Project
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Unsupervised generative models for cross-domain image generation and retrieval
Yang, X., Tan, Z., Su, Z., Yao, K., Jiang, S. & Lin, Y.
1/07/22 → 30/06/24
Project: Governmental Research Project
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Adversarial Example Detection with Latent Representation Dynamic Prototype
Wang, T., Qian, Z. & Yang, X., 2024, Neural Information Processing - 30th International Conference, ICONIP 2023, Proceedings. Luo, B., Cheng, L., Wu, Z-G., Li, H. & Li, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 525-536 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14450 LNCS).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction With Exogenous Variables
Gao, P., Yang, X., Zhang, R., Guo, P., Goulermas, J. Y. & Huang, K., 2024, (Accepted/In press) In: IEEE Transactions on Cybernetics. p. 1-13 13 p.Research output: Contribution to journal › Article › peer-review
Open Access -
PAG: Protecting Artworks from Personalizing Image Generative Models
Tan, Z., Wang, S., Yang, X. & Huang, K., 2024, Neural Information Processing - 30th International Conference, ICONIP 2023, Proceedings. Luo, B., Cheng, L., Wu, Z-G., Li, H. & Li, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 433-444 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14450 LNCS).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Towards Deeper and Better Multi-view Feature Fusion for 3D Semantic Segmentation
Yang, C., Yan, Y., Zhao, W., Ye, J., Yang, X., Hussain, A., Dong, B. & Huang, K., 2024, Neural Information Processing - 30th International Conference, ICONIP 2023, Proceedings. Luo, B., Cheng, L., Wu, Z-G., Li, H. & Li, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 3-15 13 p. (Communications in Computer and Information Science; vol. 1969 CCIS).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
Open Access -
CRA: Text to Image Retrieval for Architecture Images by Chinese CLIP
Wang, S., Yan, Y., Yang, X. & Huang, K., 24 Mar 2023, p. 29-34.Research output: Contribution to conference › Paper › peer-review
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Cognitive Computation (Journal)
Xi Yang (Reviewer)
Nov 2023Activity: Peer-review and editorial work of publications › Publication Peer-review
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Image-based Object Detection and Instance Segmentation tasks
Xi Yang (Supervisor)
21 Jun 2023 → 21 Aug 2023Activity: Supervision › Completed SURF Project
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International Conference on Computer Vision 2023 (Event)
Xi Yang (Reviewer)
Apr 2023Activity: Peer-review and editorial work of publications › Publication Peer-review
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IEEE Journal of Biomedical and Health Informatics (Journal)
Xi Yang (Reviewer)
2023Activity: Peer-review and editorial work of publications › Publication Peer-review
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MULTI-HORIZON TIME SERIES FORECASTING WITH NEURAL ORDINARY DIFFERENTIAL EQUATIONS
Xi Yang (Supervisor)
11 Sept 2022 → 30 Jun 2023Activity: Supervision › Master Dissertation Supervision