Sixing Yu (禹思行)

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Ph.D. Student

I am a 2nd-year Ph.D. student in Software Analytics and Pervasive Parallelism Lab, Iowa State University, under the supervision of Prof. Dr. Ali Jannesari. We work towards the goal of model compression, neural architecture search, federated learning, deep learning, and performance optimization. Currently, I have developed an efficient and scalable learning and inferences pipeline GNN-RL. I am greatly interested in bringing high-performance computing (HPC) into deep learning and federated learning. I am working on developing high-efficiency algorithms to slim and accelerate the deep learning and federated learning models. Proficiency in Python/PyTorch and fluent oral and written communication skills in English.

Area of Expertise: 
Model Compression
Federated Learning
Major: 
Computer Science
Education: 
B.S., Computer Science, Beijing Technology & Business University, 2020
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