I am a researcher in Natural Language Processing (NLP). For a significant part of my career, my research has primarily focused on machine translation and language modeling. As such, I have a broad interest in all text generation tasks. The machine translation system we developed, NiuTrans, now supports translation among more than 450 languages and has been deployed at scale. We aim to expand its language coverage and further improve its translation quality in the future.

Recently, my focus has expanded to include speech processing, such as speech-to-text and speech-to-speech translation. My research also explores the intersection of psychology, neuroscience, and NLP, with a focus on areas like building neuroscience-inspired language models. It is important to note, however, that in these interdisciplinary efforts, my role remains firmly on the NLP side; I am not an expert in psychology.

Furthermore, I have a strong interest in efficient methods for NLP. This includes not only efficient model architectures but also efficient training and inference techniques.

I am a strong advocate for open source. Many projects from our team are available on our GitHub page.

Machine Translation: Foundations and Models, with Jingbo Zhu (in Chinese)

Foundations of Large Language Models, with Jingbo Zhu.

Introduction to Transformers: An NLP Perspective, with Jingbo Zhu.

Natural Language Processing: Neural Networks and Large Language Models, with Jingbo Zhu.

Here is my publications list.

I grew up in Shenyang and have lived here my whole life. I love this city; it's a very comfortable place to live.

I have a strong Northeastern (Dongbei) accent.

Finding my sweetheart, Tongran Liu, was the luckiest thing that ever happened to me.

I like playing with my son, Junzhe Xiao, in my spare time.

For prospective students and post-docs, please contact me via email.