Dr Ruirui Liu
Lecturer in Finance
Marie Jahoda 138
- Email: ruirui.liu@brunel.ac.uk
- Tel: +44 (0)1895 265725
- Accountancy and Finance
Summary
Ruirui Liu is a Lecturer in Finance at the Department of Economics and Finance, 香港六合彩搅珠直播. She joined 香港六合彩搅珠直播 from King's College London, where she worked as a visiting lecturer at King's Business School and a research fellow at the Qatar Centre for Global Banking and Finance. She is also a Fellow of the Higher Education Academy (FHEA) with Advance HE and a research affiliate with the Data Analytics for Finance and Macro Centre of King's College London. Her research has been presented at European Centre Bank (ECB) Workshops, Annual Congresses of the European Economic Association (EEA), Annual Meetings of Econometric Society (ES), Annual Conferences of Society for Financial Econometrics (SoFiE), International Association for Applied Econometrics (IAAE), Computing in Economics and Finance of the Society for Computational Economics, Frontiers of Factor Investing (by Lancaster University, University of Cambridge, Invesco, and Robeco), BIS-CEPR-JIMF Joint Conference, AFFI-JBF Joint Conference, Seminar at Cubist Systematic Strategies of Point72 Asset Management, Neural Information Processing Systems (NeurIPS) Workshop on Tackling Climate Change with Machine Learning, etc.. She also acted as an ad-hoc referee for finance and economics journals such as Journal of International Financial Markets, Institutions, and Money, etc., as well as computer science journals such as IEEE Transactions on Knowledge and Data Engineering, etc..
Qualifications
PhD in Computational Finance and Econometrics (King's Business School, King's College London)
MSc in Financial Economics (Adam Smith Business School, University of Glasgow)
Newest selected publications
Fang, Y., Liu, R., Huang, H., Zhao, P. and Wu, Q. (2024) 'A Spatio-Temporal Diffusion Model for Missing and Real-Time Financial Data Inference'.ACM International Conference on Information and Knowledge Management (CIKM). Boise, ID, USA. Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM).
Liu, R., Liu, H., Huang, H., Song, B. and Wu, Q. (2023) ''. Pattern Recognition, 149 (May 2024). pp. 1 - 14. ISSN: 0031-3203
Gala, J., Nag, S., Huang, H., Liu, R. and Zhu, X. (2023) 'Adaptive-Labeling for Enhancing Remote Sensing Cloud Understanding'.Neural Information Processing Systems (NeurIPS) Workshop on Tackling Climate Change with Machine Learning. New Orleans, LA, USA.
Chen, H., Yin, P., Huang, H., Wu, Q., Liu, R. and Zhu, X. (2023) 'Typhoon Intensity Prediction with Vision Transformer'.Neural Information Processing Systems (NeurIPS) Workshop on Tackling Climate Change with Machine Learning. New Orleans, LA, USA.
Li, X., Liu, R., Huang, H. and Wu, Q. (2023) ''. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 32. pp. 178 - 188. ISSN: 2329-9290