Xilie Xu is a quantitative researcher based in Singapore with eight years of experience blending trustworthy machine learning research and quantitative trading. He holds a PhD in Computer Science from the National University of Singapore and has co-led eight papers as (co-)first author at top-tier ML venues including ICML, NeurIPS, ICLR and AAAI. At Baiont Quant he applies rigorous, publication-grade methods to practical trading problems, drawing on prior research exposure at Ant Group. Xilie’s work signals a rare mix of theoretical depth and production focus—he publishes on foundational ML topics while shipping quantitative strategies. His academic track record and high-impact conference presence suggest strong expertise in robust ML methods that transfer to live trading environments.
8 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Computer Science, 88.80, Bachelor's degree, Computer Science, 88.80 at Shandong University
Doctor of Philosophy - PhD, Computer Science, 4.58, Doctor of Philosophy - PhD, Computer Science, 4.58 at National University of Singapore
Contributions:78 pushes, 1 branch, 1 comment in 1 year 1 month
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