Scholar
Zhuoyi Lin
Google Scholar ID: i04oBhIAAAAJ
Scientist, Institute for Infocomm Research (I2R, A*STAR)
Citations & Impact
Citations
408
H-index
8
i10-index
8
Publications
20
Co-authors
14
list available
Publications
Resume (English only)
Academic Achievements
- Several papers under review, covering applications of LLMs in optimization and recommendation systems. One work on NP-hard optimization was highlighted by A*STAR Research Magazine.
Research Experience
- Involved in multiple semiconductor-related projects, including the DefectGPT project in collaboration with AMD; applied reinforcement learning and LLMs to combinatorial optimization problems and robotics navigation; applied AI technologies to fields such as computational chemistry and parameter extraction for solar cells; contributed to recommender systems, healthcare, and bioinformatics.
Education
- Worked at A*STAR in collaboration with international institutions such as MIT and Cambridge. PhD research focused on recommender systems, applying graph-based algorithms and deep learning techniques.
Background
- Research interests include machine learning and data mining, with a particular emphasis on trustworthy reasoning for large language models (LLMs) and LLM-based optimization. Application areas include semiconductor manufacturing, NP-hard optimization problems, scientific discovery, recommender systems, and healthcare and bioinformatics.
Miscellany
- Personal interests include supporting healthcare applications and bioinformatics research, such as contributing to antibody discovery for potential mutated variants of COVID-19.
