Mi Zhang, Assistant Professor of Electrical and Computer Engineering, and his graduate students recently attended the Google MicroNet Challenge hosted at the 2019 Conference on Neural Information Processing Systems (NeurIPS'19).  The team won the 4th place (the 1st place in U.S. and Canada) of the CIFAR-100 Track.

This international competition is focusing on developing the most efficient deep neural network architecture for resource-constrained devices such as mobile phones and Internet of Things. 

More information about the competition can be found on: https://micronet-challenge.github.io/leaderboard.html