Regular biography
LI Yi is an Associate Professor at Nanyang Technological University, School of Physical and Mathematical Sciences, Department of Mathematics. His research interests include algorithms for massive data sets, data stream algorithms, and compressive sensing. He holds a PhD from the University of Michigan and is affiliated with the university's mathematics department. His profile can be accessed through the provided website, and his office is located at SPMS-MAS-05-17.
Scholar-generated biography
Yi Li is a researcher specializing in algorithms for massive data sets and streaming algorithms. Their work focuses on developing efficient algorithms for processing large-scale data streams, with an emphasis on approximation techniques and sketching methods. Li's research includes topics such as turnstile streaming algorithms, sparse recovery, matrix norms, and subspace embeddings. They have contributed to advancements in data stream algorithms by optimizing time and measurements, improving the accuracy of frequency estimation, and exploring the communication complexity of linear algebraic problems. Their publications highlight the importance of sublinear algorithms and their applications in data analysis and machine learning.