Suggestions
Zheng-Xin Yong
Deep Learning Research
Zheng-Xin Yong is a Graduate Research Assistant at Brown University, currently pursuing a PhD in Computer Science. His research focuses on artificial intelligence, particularly in making large language models (LLMs) safer and more effective for various applications. He is affiliated with both Meta and Cohere for AI, where he contributes to advancements in AI technologies.
Educational Background
- PhD in Computer Science at Brown University (2021 - 2026)
- Bachelor of Science in Computer Science (Major) and Business (Minor) from Minerva University, graduating with a perfect GPA of 4.0 (2017 - 2021)
Professional Experience
Zheng-Xin has held several significant positions in AI research and development:
- BigScience Research Lead at Hugging Face (August 2021 - December 2022), where he led efforts to extend the BLOOM model to new languages under constrained conditions.
- Machine Learning Engineer at Glint Solar (February 2021 - May 2021), applying NLP and computer vision for satellite image analysis.
- Co-Founder of Vizly, a platform aimed at enhancing communication between designers and clients (May 2020 - November 2020).
- Research Intern at Google during the Summer of Code, collaborating on frame semantic annotations (May 2020 - August 2020).
Research Contributions
Zheng-Xin has been involved in various research projects, including the development of MedRAG-Refine, a generative LLM tailored for the biomedical domain, which integrates advanced fine-tuning processes to improve performance in medical applications.1
Skills and Interests
His expertise spans natural language processing, machine learning, and deep learning. He has also contributed to numerous publications and projects aimed at improving AI technologies and their applications across different sectors.
Zheng-Xin Yong's LinkedIn profile can be found under the username yongzx, where he shares insights about his work and ongoing research initiatives.