Miao Yin

Dr. Miao Yin (尹淼) is a Principal Investigator and an Assistant Professor in the Department of Computer Science and Engineering at The University of Texas at Arlington (UTA). Dr. Yin's research focuses on developing high-performance, efficient AI computing systems at scale. He has worked at Google/YouTube and AWS AI Labs. Dr. Yin is the recipient of the NSF CAREER award, the UT System Rising STARs award, and the Rutgers Graduate Academic Achievement award.

Miao Yin

Research Interests

Dr. Miao Yin's research is mainly focused on high-performance and efficient learning-based intelligence systems. His research interests broadly include:

  • Multimodal AI/ML Systems
  • AI Model Optimization
  • Spatial Computing
  • High-Performance Computing
  • Tensor Decomposition

Honors and Awards

  • NSF CAREER Award, 05/2026
  • NVIDIA Academic Research Award, 09/2025
  • DAC 2025 Outstanding Reviewer, 06/2025
  • Graduate Academic Achievement Award, Rutgers University, 05/2024
  • Rising STARs Award, $100,000, UT System, 09/2023
  • Student Travel Grant, International Symposium on Computer Architecture (ISCA), 07/2023
  • Student Travel Grant, ACM Symposium on Principles and Practice of Parallel Programming (PPoPP), 01/2023
  • Student Travel Grant, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 06/2022

Professional Services

Technical Program Committee (TPC) Member

  • Annual Conference on Machine Learning and Systems (MLSys)
  • ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP)
  • The Chips to Systems Conference (DAC)
  • IEEE/ACM International Conference on Computer-Aided Design (ICCAD)
  • International Symposium on Quality Electronic Design (ISQED)
  • IEEE International Conference on Computer Design (ICCD)

Conference/Journal Reviewer

  • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • International Conference on Machine Learning (ICML)
  • European Conference on Computer Vision (ECCV)
  • International Conference on Computer Vision (ICCV)
  • Conference on Neural Information Processing Systems (NeurIPS)
  • International Conference on Learning Representations (ICLR)
  • IEEE Transactions on Knowledge and Data Engineering (TKDE)
  • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
  • IEEE Transactions on Parallel and Distributed Systems (TPDS)
  • IEEE Transactions on Circuits and Systems I (TCAS-I)

Contact

Email: miao(dot)yin(at)uta(dot)edu

Office: ERB 556B