Yan Zhou | 周䶮

I am a second-year Ph.D. student at Institute of Computing Technology, Chinese Academy of Sciences (ICT/CAS), luckily advised by Prof. Yang Feng at ICT Natural Language Processing (ICTNLP) group.

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My research interests mainly lie in natural language processing (NLP) and machine translation (MT). In particular, I am now interested in end-to-end speech-to-text translation (S2TT) and speech-to-speech translation (S2ST). I also have some research on large language models (LLMs) for machine translation or speech translation. Before that, I also had some research on multilingual neural machine translation.

[2024/9] Our speech-language model LLaMA-Omni is released! It is a powerful speech interaction model built upon Llama-3.1-8B-Instruct, which achieves low-latency and high-quality speech interactions. Check our paper, code, and model!

[2024/5] A paper about speech-to-speech translation that I participated in is accepted to ACL2024!

[2023/9] A paper about speech-to-speech translation that I participated in is accepted to NeurIPS2023!

[2023/9] I start my Ph.D. life at University of Chinese Academy of Sciences (UCAS), which is located in Huairou District, Beijing, near the beautiful Yanqi Lake.

[2023/6] I obtain my B.E. degree from Tsinghua University.

[2023/6] Our LLM BayLing (百聆) is released! BayLing is an instruction-following LLM with advanced language alignment and multi-turn interaction capability. Read our paper and try our online demo! Thanks to all collaborators!

[2023/5] A long paper about speech translation is accepted to ACL 2023 main conference! Thanks to all collaborators!