Ying Sun

Ying Sun is an Assistant Professor in the Department of Electrical Engineering at the University of Minnesota's College of Science and Engineering. Her research focuses on distributed algorithms, nonconvex optimization, and machine learning, with applications in wireless communications and robotic swarm systems.

• Develops decentralized learning frameworks for data heterogeneity
• Designs risk-aware motion planners for large-scale robotics
• Works on sparse regression and covariance matrix estimation
• Advances gradient tracking and bilevel optimization techniques

Recent work includes federated learning synchronization, tensor recovery, and robust transfer learning algorithms. She has contributed to the theoretical understanding of optimization landscapes and practical implementations of distributed systems.