Xinhui Liu

Xinhui Liu

she/her

PhD student in Statistics at the London School of Economics and Political Science (LSE)

Publications

You can also find my articles on my Google Scholar profile.

Journal Articles

DiGAN Breakthrough: Advancing diabetic data analysis with innovative GAN-based imbalance correction techniques

Published in Computer Methods and Programs in Biomedicine Update, 2024

Breakthrough in Diabetes Data Analysis: DiGAN represents a breakthrough approach in the field of medical diagnostics, especially in diabetes classification.

Recommended citation: Zhao, P., Liu, X., Yue, Z., Zhao, Q., Liu, X., Deng, Y., & Wu, J. (2024). DiGAN Breakthrough: Advancing diabetic data analysis with innovative GAN-based imbalance correction techniques. Computer Methods and Programs in Biomedicine Update, 5, 100152.
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Conference Papers

An Attention-based Long Short-Term Memory Framework for Detection of Bitcoin Scams

Published in 2022 International Conference on High Performance Big Data and Intelligent Systems (HDIS), 2022

A novel Attention-based Long Short-Term Memory (A-LSTM) method is proposed for the classification problem to determine whether a transaction is involved in Ponzi schemes or other cyber scams, or is a non-scam transaction.

Recommended citation: Zhao, P., Tian, W., Xiao, L., Liu, X., & Wu, J. (2022, December). An Attention-based Long Short-Term Memory Framework for Detection of Bitcoin Scams. In 2022 International Conference on High Performance Big Data and Intelligent Systems (HDIS) (pp. 21-26). IEEE.
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