About Me
Hello! I'm Weilin RUAN (阮炜霖), a Ph.D. student in Computer Science and Engineering at The Chinese University of Hong Kong. My research focuses on multimodal learning, time-series foundation models, spatio-temporal data mining, agentic AI, and embodied intelligence.
My academic journey began at Jinan University, where I completed my undergraduate studies in Network Engineering. During my undergraduate years, I developed a strong foundation in computer science and discovered my passion for research in artificial intelligence and data science.
Currently, I'm working on foundation-model data synthesis, embodied perception evaluation, and multimodal spatio-temporal forecasting. My research aims to build reliable, scalable models that connect real-world temporal signals, visual reasoning, and decision-making systems.
Research Interests
- Time-series Foundation Models
- Spatio-temporal Data Mining and Forecasting
- Multimodal Learning and Visual Reasoning
- Embodied Foundation Models
- Agentic AI Systems
Academic Journey
Throughout my academic career, I've had the opportunity to work on various challenging projects and collaborate with talented researchers. My work has been recognized through publications in top-tier conferences and journals in the field of artificial intelligence and data mining.
Future Goals
Looking ahead, I aim to keep pushing the boundary of multimodal and embodied foundation models. I am particularly interested in efficient data-generation and evaluation pipelines that make models more reliable in complex real-world environments.