Writing · 9
Research
Deep Learning for Credit Card Fraud Detection
Comparing supervised, unsupervised, and hybrid models on the ULB dataset — with drift analysis and SHAP interpretability.
Machine Learning for Diabetes Risk Prediction
Coursework for WM9QG (Fundamentals of AI & Data Mining) at Warwick. Two objectives: classify individual diabetes risk with Logistic Regression and Random Forest, and segment the CDC BRFSS 2015 population (253,680 respondents) into health profiles via K-means clustering. Final LR achieves ROC-AUC 0.818 and at-risk recall 0.761; SHAP confirms GenHlth, Age, and BMI as dominant drivers.
Investing
Update My Priors
On Bayesian reasoning, base rates, and the four stages of investment mastery — from Graham's cigar butts to Munger's mental models to Li Lu's philosophy of character. In Chinese.
Value Investing
A personal framework for value investing — the four principles, Munger and Li Lu's additions, sector research map, and a running list of companies worth understanding deeply. In Chinese.
Reading
Reading
Books I plan to read in 2026, organized around value investing and other disciplines.
Think in Systems
Notes on systems thinking — from the Overview Effect and critical numbers to execution frameworks. How zooming out changes what you see. In Chinese.
Stay Rational. Think Long. Update Often.
Notes on rationality, long-term thinking, and correcting mistakes — connecting cognitive science (Stanovich, Baron) with business case studies (Pinduoduo, Meituan). In Chinese.