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Best Paper Award and Best Poster Award at the Conference on Machine Learning and Systems (MLSys 2022)

IF-Lab


– Zirui won the Outstanding Paper Award for the MLSys 2022.
– “QuadraLib: A Performant Quadratic Neural Network Library for Architecture Optimization and Design Exploration”


– Yongbo won the Best Poster Award at the at MLSys-CrossFL 2022 Workshop on Cross Community Federated Learning..
– “Powering Multi-Task Federated Learning with Competitive GPU Resource Sharing”

The 32nd Conference on Neural Information Processing Systems (NeurIPS 2018)

IF-Lab


– Fuxun Yu attended the 32nd Conference on Neural Information Processing Systems, Workshop on Compact Deep Neural Networks with Industrial Applications (NeurIPS CDNNIA) 2018 at Montreal, Canada.
 
– Fuxun Yu presented two papers:
“Demystifying Neural Network Filter Pruning”,
“Distilling Critical Paths in Convolutional Neural Networks”.


Fuxun presented the paper at NeurIPS 2018.

Welcome to IF-Lab | GMU

IF-Lab


The Intelligence Fusion Lab is directed by Dr. Xiang Chen from the Department of Electrical and Computer Engineering at the George Mason University. The lab’s major research investigation is focused on mobile computing, wearable devices, and embedded systems. The research topics may involve deep learning application and acceleration, distributed mobile computing, machine learning security, mobile display, and graphics, as well as VR/AR technologies.

The main campus of George Mason University is located in the City of Fairfax, Virginia, approximately 15 miles (24 km) west of Washington, DC. Mason is now ranked among the highest research institutions by the Carnegie Classification of Institutions of Higher Education. U.S. News and World Report rank Mason as one of the top 10 “Up-and-Coming Institutions” for national universities, and top 100 “Best Engineering Graduate Schools” in Electrical & Computer Engineering (#82 in CE). It is currently the largest and most diverse university in Virginia.