Chao Li

Dr. Chao Li is an indefinite-term research scientist at the RIKEN Center for Advanced Intelligence Project (AIP) since 2021, focusing on tensor network learning and its applications in machine learning. His work involves modeling tensor network structure search (TN-SS) as a combinatorial optimization problem, with contributions to algorithms like TNGA and TNLS. He earned his Ph.D. and bachelor’s degrees from Harbin Engineering University in 2017 and 2006, respectively.

Dr. Li’s research spans tensor networks, machine learning, and optimization. He has presented at leading conferences like ICML and regularly serves as a senior reviewer for top-tier machine learning venues such as ICML, NeurIPS, and AAAI.

The 2022 presentation on TN-SS highlights his work in advancing tensor network methodologies for machine learning tasks, leveraging optimization techniques and exploring applications in neural networks and computational mathematics.

Dr. Li is affiliated with the EPFL Center for Intelligent Systems (CIS) through collaborative events with RIKEN AIP, though no specific labs or teams are detailed in the provided text.