Research output per year
Research output per year
Personal profile
Overview
Dr Xian Yang is currently a lecturer (Assistant Professor) at Alliance Manchester Business School, The University of Manchester. Before joining AMBS, she has worked as an Assistant Professor at the Department of Computer Science from HKBU, a researcher at Microsoft Research Asia and a research fellow at Data Science Institute of Imperial College London.
Dr Xian Yang received her PhD degree from the department of Computing at Imperial College London. Her research interests include artificial intelligence in healthcare, natural language processing and data mining. Her work has been published in several top-tier conferences/journals, such as ICDM, WWW, FSE, Coling and EMNLP.
Research Interests:
- Natural Language Processing
- Multimodal Learning
- Bayesian Learning
- Data Mining
My Google Scholar:
https://scholar.google.com/citations?hl=en&user=oiPuciAAAAAJ&view_op=list_works&sortby=pubdate
Email: xian.yang@manchester.ac.uk
Opportunities
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Research Beacons, Institutes and Platforms
- Digital Futures
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A new contrastive learning framework for reducing the effect of hard negatives
Cui, W., Bai, L., Yang, X. & Liang, J., 25 Jan 2023, In: Knowledge-Based Systems. 260, 110121.Research output: Contribution to journal › Article › peer-review
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High-order graph attention network
He, L., Bai, L., Yang, X., Du, H. & Liang, J., 1 Jun 2023, In: Information Sciences. 630Research output: Contribution to journal › Article › peer-review
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A Handshake-based Low Delay MAC Protocol in Hybrid Topology for Urban Lake Monitoring
Ma, Y., Wu, H., Dan, F., Yang, X., Yan, B. & Zhou, F., 1 Nov 2022, In: IEEE Sensors Journal. 22, 21, p. 21342-21354 13 p.Research output: Contribution to journal › Article › peer-review
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Bayesian data assimilation for estimating instantaneous reproduction numbers during epidemics: Applications to COVID-19
Yang, X., Wang, S., Xing, Y., Li, L., Xu, R. Y. D., Friston, K. J. & Guo, Y., 23 Feb 2022, In: PLoS computational biology. 18, 2, e1009807.Research output: Contribution to journal › Article › peer-review
Open Access -
Improving Deep Embedded Clustering via Learning Cluster-level Representations
Yin, Q., Wang, Z., Song, Y., Xu, Y., Niu, S., Bai, L., Guo, Y. & Yang, X., 2022, Proceedings of the 29th International Conference on Computational Linguistics. p. 2226-2236 11 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review