Glad to see you! 👋 Welcome to my (Minqi Jiang, 江敏祺 for Chinese) profile:
I'm a third-year PhD candidate in Shanghai University of Finance and Economics (SUFE). At SUFE, I work with my PhD tutor Songqiao Han. I am glad to be a member of SUFE AI Lab (lead by professor Hailiang Huang). Currently, Anomaly Detection (aka Outlier Detection) is my major research direction, and I'm also interested in NLP and Quantitative Investment, see as follows:
| Title | Research Direction | Conference/Journal | Paper | Code |
|---|---|---|---|---|
| ADBench: Anomaly detection benchmark | Anomaly Detection | NeurIPS 2022 | ||
| How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection | NLP | Preprint | ||
| An Improved Stacking Framework for Predicting Stock Price Index Direction | Quantitative Investment | Economic Computation & Economic Cybernetics Studies & Research | ||
| An improved Stacking framework for stock index prediction by leveraging tree-based ensemble models and deep learning algorithms | Quantitative Investment | Physica A: Statistical Mechanics and its Applications | ||
| An extended regularized Kalman filter based on Genetic Algorithm: Application to dynamic asset pricing models | Quantitative Investment | The Quarterly Review of Economics and Finance |
Quick links to know me better...