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Sixing Yu

Sixing Yu (禹思行)

Position
  • PhD Student
I am a 4th-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.

Contact Info

115 Atanasoff
2434 Osborn Dr
Ames
,
IA
50011
Social Media and Websites

Education

  • B.S., Computer Science, Beijing Technology & Business University, 2020

More Information

Areas of Expertise: Model Compression, Federated Learning