work

I am passionate about exploring deep learning applications, focusing on areas such as forecasting, language models, and translation techniques. My research delves into the development and implementation of advanced deep learning algorithms to address complex problems in diverse fields. In the realm of forecasting, I aim to enhance predictive accuracy through innovative models, including time series analysis and machine learning methods. My interest in language models centers on understanding and generating human language, utilizing cutting-edge architectures like transformers to drive improvements in natural language processing tasks. Additionally, I am dedicated to advancing translation techniques, particularly through neural machine translation, with the goal of enhancing the quality and contextual relevance of translations across various languages.

Time Series Forecasting — Forecasting time sereis using deep learning.

Large Language Models — I am interested in LLM's domain adaption techniques. Also I hope to explore the explainabiliy for LLMs (Transformer behind it).

Machine Translation — My expertise includes unsupervised machine translation and low-resource machine translation.

Speech Translation — I have been working on Speech Translation in recent years. I am interested in multi-language speech translation and knowledge transferring in Speech Translation.