I study probability, statistics, random matrix and deep learning. I believe in LLN which motivates me to seek robust opportunities in finance and tech.
List of work
- Covariance estimation in multidimensional response mixed effect models[submitted]
- Predicting SARS-CoV-2 infection among hemodialysis patients using deep neural network methods[2024]
- Predicting SARS-CoV-2 infection among hemodialysis patients[2023]
- Gaussian process with correlation factor for text classification[2023]
- LoCoV: low dimension covariance voting algorithm for portfolio optimization[2022]
- Higher order attention transformers for time series and text analysis[developing]
- Central Limit Theorem for product of dependent random variables[2021]
- A Cost-Reducing Partial Labeling Estimator in Text Classification Problem[2020]
- Improved Naive Bayes with optimal correlation factor for text classification[2019]
- Naive Bayes with Correlation Factor for Text Classification Problem[2019]
- Non-normal Limiting Distribution for Optimal Alignment Scores of Strings in Binary Alphabets[2017]