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Lei Ying
Fifteen papers by ECE researchers to be presented at the Conference on Neural Information Processing Systems
Topics of accepted ECE NeurIPS papers include diffusion models, large language models, multi-armed bandit models, and more.Leveraging artificial intelligence for early detection of lung cancer
Predictive models developed by an interdisciplinary U-M research team have improved early lung cancer detection beyond traditional measures, with the potential to save lives.Fourteen papers by ECE researchers to be presented at the International Conference on Machine Learning
Accepted papers for the ICML conference span topics including deep representation learning, language model fine-tuning, generative modeling, and more.Linking online and offline social networks to better predict real world impact
Prof. Lei Ying leads a new MURI that is focused on the interplay between online and offline networks and how they could impact disruptive behavior and events.Congrats ECE alumni who joined academia
Congratulations to these ECE graduates who have recently joined academia as faculty members!Teaching Machine Learning in ECE
With new courses at the UG and graduate level, ECE is delivering state-of-the-art instruction in machine learning for students in ECE, and across the UniversityLei Ying named IEEE Fellow for fundamental research in cloud computing systems and wireless networks
Prof. Ying’s theoretical research addresses a broad range of fundamental problems arising from big-data analytics.$20M NSF AI-EDGE Institute aims to transform 5G and beyond networks
University of Michigan is a core member of a new NSF-led Institute that is a collaboration between 11 institutions, three government research labs, and four global companiesTracking COVID-19 spread faster, and more accurately
A new application for an ongoing NSF project could bolster contract tracing efforts.