Chenyang Lyu, Ph.D.

I am currently a Staff Researcher/Tech Lead at Alibaba ATH, where I lead the Speech and Omni LLM Applied Research team. Previously, I was a researcher at the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), focusing on multilingual and multimodal large language models. I earned my Ph.D. in Machine Learning from Dublin City University's ML-Labs in 2023, following a Bachelor of Engineering from Northeastern University in China in 2018.

My research lies primarily in natural language processing, with a focus on LLMs across multilingual, multimodal, and speech settings, as well as LLM agents. My research work includes CoQuIR, selected for an ACL 2026 SAC Highlights Award, Marco-MoE, Trust No Tool, and Crayotter, alongside papers accepted at COLM 2026, CVPR 2026, and ICASSP 2026.

GPT4Video was nominated for the Best Paper Award at ACM-MM 2024. My open-source projects and contributions have collectively earned 4k+ GitHub stars, and I won two championships and two runner-up prizes in the IWSLT 2025 speech translation competition. Prior to my current role, I gained extensive research experience through positions as a research assistant and visiting scholar at Tencent AI Lab, the National Institute of Informatics (NII), and IBM Research-China.

I have received several personal honors, including the German DAAD AInet Fellowship, the 2023 Young AI Role Model of the Year award at the Irish AI Awards, and an SFI PhD Scholarship. My research has also been covered by RTÉ, Slator, and Irish Tech News, including a podcast interview on LLMs.