Projects per year
Personal profile
Personal profile
Dr Xi Yang is currently an Associate 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, 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 Domain Generalization and Adaptation, Text-Image Synthesis, Outlier Detection, and Medical Image Analysis. Dr. Yang has published over 40 papers including international authoritative journals and conferences such as IEEE T- Cybernetics, IEEE T-KDE, Pattern Recognition, CVPR, AAAI, ECCV, ICCV, NeurIPS, etc.. Her research has received support from both government and industry, such as NSFC Young programme, and NSFC Major-cultivation programme. She was honored as a Jiangsu Province Innovation & Entrepreneurship Doctor in 2020 and received the Outstanding Talent in Science and Education Award in 2022.
Her publications can be founded via Google Scholar https://scholar.google.com/citations?user=A0Z8mKIAAAAJ
Research interests
Probabilistic Model,
Domain Generalization & Adaptation,
Text-Image Synthesis,
Medical Image Analysis
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
Jiangsu Province Innovation Entrepreneurship Doctor in 2020
Outstanding Talent in Science and Education Award in 2022
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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Disentangling Tabular Data Towards Better One-Class Anomaly Detection
Ye, J., Tan, Z., Hu, Y., Yang, X., Cheng, G. & Huang, K., 11 Apr 2025, Special Track on AI Alignment. Walsh, T., Shah, J. & Kolter, Z. (eds.). 12 ed. Association for the Advancement of Artificial Intelligence, p. 13061-13068 8 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 39, no. 12).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Revisiting 3D point cloud analysis with Markov process
Jiang, C., Ma, W., Huang, K., Wang, Q., Yang, X., Zhao, W., Wu, J., Wang, X., Xiao, J. & Niu, Z., Feb 2025, In: Pattern Recognition. 158, 110997.Research output: Contribution to journal › Article › peer-review
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SCMix: Stochastic Compound Mixing for Open Compound Domain Adaptation in Semantic Segmentation
Yao, K., Tan, Z., Su, Z., Yang, X., Sun, J. & Huang, K., 2025, (Accepted/In press) In: IEEE Transactions on Neural Networks and Learning Systems.Research output: Contribution to journal › Article › peer-review
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Accelerating Attentional Generative Adversarial Networks with Sampling Blocks
Zhang, C., Jin, M., Yu, Q., Xue, H., Yang, X. & Jin, X., Aug 2024, International Conference on Neural Information Processing (ICONIP), 2024.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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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
Activities
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Cognitive Computation (Journal)
Xi Yang (Associate Editor)
Sept 2024 → …Activity: Peer-review and editorial work of publications › Editorial work
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The Thirty-eighth Annual Conference on Neural Information Processing Systems,2024 (Event)
Xi Yang (Reviewer)
2024Activity: Peer-review and editorial work of publications › Publication Peer-review
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38th AAAI Conference on Artificial Intelligence, AAAI 2024 (Event)
Xi Yang (Reviewer)
2024Activity: 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)
2024Activity: Peer-review and editorial work of publications › Publication Peer-review
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2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023 (Event)
Xi Yang (Reviewer)
2024Activity: Peer-review and editorial work of publications › Publication Peer-review