TransferGraph
Model Selection with Model Zoo via Grap Learning
AI in Data Lakes
At Infinidata Lab, we recognize the potential of AI to transform data lakes into reservoirs of actionable insights. By embracing multimodal data, our solutions can analyze and process various types of information, from text and images to complex datasets. This approach is turbocharged with GPU acceleration, which dramatically speeds up the computation, allowing our AI models to learn and adapt at unprecedented rates. This synergy not only enhances data utility but also optimizes resource usage, propelling businesses towards smarter and faster decision-making processes.
Rihan Hai
I am an assistant professor at Web Information Systems (WIS) group of TU Delft. Before joining TU Delft, I received my Ph.D. degree with “summa cum laude” from Information Systems & Databases group of RWTH Aachen University, Germany. I received my BEng and MEng from Tsinghua University, China. My research focuses on data lakes, data management for machine learning, and quantum data management.
Wenbo Sun
Wenbo Sun is a PhD candidate at WIS team. Prior to joining TUDelft, he worked as a software engineer, then received his master degree in computational science at University of Amsterdam. His research focuses on database system, machine learning system and performance engineering.
Ziyu Li
I am a PostDoc at the Web Information Systems group, Department of Software Technology, Faculty of EEMCS, Delft University of Technology. My research lies at the intersection of Machine Learning and data analysis. In particular, my reserach investigates how to apply metadata of different artifacts (e.g., model, data, hardware settings) to improve the effectiveness and efficiency of machine learning workflows.
Find out more content in our Blog
View all posts»The digestion of our on-going projects