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About Me

  • I am an M.S. student at the College of Computer Science and Technology, Zhejiang University, advised by Prof. Guochuan Zhang in the Theory Group. My research interests lie at the intersection of machine learning, quantitative finance, and theoretical computer science.
  • I am particularly interested in learning and decision-making under changing environments. My current research focuses on machine learning for financial markets, including distribution shift, adaptation, and information dynamics across assets. I also study approximation and learning-based algorithms for combinatorial optimization problems.

Selected Research

  • Persistent Directed Information Flow for Stock Forecasting (Manuscript under review)
    A cross-stock forecasting framework that captures persistent, asymmetric information flow by separating sender and receiver roles.
  • Learning Global Orders for Capacity-Constrained Routing (Manuscript under review)
    A generate–compile–refine framework that learns global service orders and converts them into feasible capacity-constrained routes.
  • Learning under Market Non-stationarity (Ongoing)
    I study how predictive models can remain reliable as financial markets evolve across multiple time scales and undergo distribution shifts.

Research manuscripts are not linked publicly during double-blind review.

Experience

  • 2026.06 — Present: Quantitative Research Intern, Mengxi Investment. Research on robust cross-sectional stock prediction under market non-stationarity, using meta-learning, domain generalization, and systematic factor diagnostics.
  • 2026.02 — 2026.04: Quantitative Research Intern, Hongqiang Taihe. Research on cross-sectional stock prediction using industry structure, latent concepts, factor redundancy analysis, and exposure diagnostics.

Publications

Education

  • 2024.09 — 2027.06: M.S. in Software Engineering, Zhejiang University, College of Computer Science and Technology; advised by Prof. Guochuan Zhang in the Theory Group.
  • 2020.09 — 2024.06: B.S. in Computer Science and Technology, Zhejiang University; Minor in Finance, Mixed Class, Chu Kochen Honors Program. GPA: 3.9/4.0, Top 10%.

Teaching

  • Fall–Winter 2025–2026: Teaching Assistant, Advanced Data Structure & Algorithm Analysis, Zhejiang University (Instructor: Prof. Lin Chen).
  • Fall–Winter 2024–2025: Teaching Assistant, Advanced Data Structure & Algorithm Analysis, Zhejiang University (Instructor: Prof. Guochuan Zhang).

Honors

  • 2026: Runner-up, “Liangwen Cup” Statistical Modeling & AI Prediction Challenge.
  • 2024: Outstanding Graduate, Zhejiang University.
  • 2022: National First Prize, China Undergraduate Mathematical Contest in Modeling.
  • 2018: First Prize, National Olympiad in Informatics in Provinces.