Wen-Shuo Chao

I am a Junior AI Researcher with 4 years of specialized experience in the field of Deep Learning. My areas of expertise include Large Language Models, Graph Neural Networks, and Multivariate Time Series Prediction. I have a proven track record in pioneering innovative algorithms and actively participating in collaborative research projects. I am particularly passionate about leveraging mathematical and statistical methodologies to tackle complex challenges in real-world applications. Research Interests: Natural Language Processing Graph Neural Networks Multivariate Time Series Forecasting Reinforcement Learning Current Research: I am currently exploring the integration of Large Language Models into recommendation systems to enhance user engagement and experience. Past Research: In 2023, My work on Cross-View Graph Learning for Skill Demand-Supply Joint Prediction is under review for an upcoming conference. In 2022, I focused on Uncertain Knowledge Graph Embedding techniques, contributing to the advancement of this emerging field. In 2020 and 2021, I delved into the Graph Neural Network for solving Graph Isomorphism problems, investigating the possiblity of solving the problem under random generated constraint (failed at Circular Skip Link (CSL) Graphs). In 2019, my research was centered around Computer Vision, specifically in the areas of Super-Resolution techniques and Video-Based Person Re-Identification.