Mr. Wei Huang | Beijing University of Posts and Telecommunications | China
Mr. Wei Huang’s research focuses on data science, machine learning, and intelligent data analysis, particularly in financial risk prediction and model optimization. His work includes developing advanced methods such as temporal folding, spatio-temporal pseudo-label denoising, and dynamic data selection to enhance model performance and efficiency. He has contributed to research published in leading journals, including Information Processing & Management and IEEE Transactions on Knowledge and Data Engineering. His research advances scalable, efficient, and accurate data-driven decision-making systems.
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