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Dr Ruirui Liu
Lecturer in Finance

Marie Jahoda 138

Summary

Ruirui Liu is a Lecturer in Finance at the Department of Economics and Finance, Brunel University London. She joined Brunel 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 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 Finance and Economics (King's Business School, King's College London)

MSc in Financial Economics (Adam Smith Business School, University of Glasgow)

Newest selected publications

Liu, R., Liu, H., Huang, H., Song, B. and Wu, Q. (2023) 'Multimodal multiscale dynamic graph convolution networks for stock price prediction'. Pattern Recognition, 149 (May 2024). pp. 1 - 14. ISSN: 0031-3203 Open Access Link

Journal article

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.Open Access Link

Conference paper

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.Open Access Link

Conference paper

Li, X., Liu, R., Huang, H. and Wu, Q. (2023) 'Contrastive Learning for Target Speaker Extraction with Attention-based Fusion'. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 32. pp. 178 - 188. ISSN: 2329-9290

Journal article

Cao, S., Huang, H., Liu, R. and MacDonald, R. (2019) 'The term structure of exchange rate predictability: Commonality, scapegoat, and disagreement'. Journal of International Money and Finance, 95. pp. 379 - 401. ISSN: 0261-5606

Journal article
More publications(5)