Resume
Academic Achievements
- Multiple papers accepted at NeurIPS 2024, including 'The Implicit Bias of Adam on Separable Data', 'Attention Boosted Individualized Regression', etc.
- Paper accepted at ICML 2024: 'Benign Overfitting in Two-Layer ReLU Convolutional Neural Networks for XOR Data'
- Published at COLT 2023: 'The Implicit Bias of Batch Normalization in Linear Models and Two-layer Linear Convolutional Neural Networks'
- Published at ICML 2023: 'The Benefits of Mixup for Feature Learning'
- Publications in top journals including JMLR, TMLR, and MLJ
- Several preprints on arXiv, e.g., 'Estimation of Out-of-Sample Sharpe Ratio for High Dimensional Portfolio Optimization'