Miao Yin

Biography

Dr. Miao Yin is a Tenure-Track Assistant Professor of Computer Science at the University of Texas at Arlington (UTA). He received his Ph.D. at Rutgers University, during which he conducted research at Google with Dr. Boqing Gong, building the efficient YouTube video quality assessment framework.

Dr. Miao Yin’s research is mainly focused on artificial intelligence (AI), particularly high-performance and energy-efficient spatial intelligence systems. His research interests broadly include:

  • Spatial Intelligence
  • Efficient AI/ML/Vision Systems
  • Model Optimization for LLMs
  • AI for Scientific Computing
  • Higher-Order Tensor Decomposition

Honors and Awards

  • 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
  • Best Paper Award Runner-Up, AAAI DCAA Workshop, 02/2023
  • Student Travel Grant, ACM Symposium on Principles and Practice of Parallel Programming, 01/2023
  • Student Travel Grant, IEEE/CVF Conference on Computer Vision and Pattern Recognition, 06/2022

Professional Services

Technical Program Committee (TPC) Member:

  • Annual Conference on Machine Learning and Systems (MLSys'25)
  • ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP'25)
  • The Chips to Systems Conference (DAC'25)
  • IEEE/ACM International Conference on Computer-Aided Design (ICCAD'24)
  • International Symposium on Quality Electronic Design (ISQED'24, ISQED'25)

Conference/Journal Reviewer:

  • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'22, CVPR'23, CVPR'24, CVPR'25)
  • International Conference on Machine Learning (ICML'23, ICML'24)
  • European Conference on Computer Vision (ECCV'22, ECCV'24)
  • International Conference on Computer Vision (ICCV'23)
  • Conference on Neural Information Processing Systems (NeurIPS'22, NeurIPS'23, NeurIPS'24)
  • International Conference on Learning Representations (ICLR'23, ICLR'24, ICLR'25)
  • 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)

Teaching

Instructor at UTA:

Teaching Assistant at Rutgers:

  • 16.332.56: Computer Architecture
  • 16.332.43: Introduction to Computer System
  • 16.332.579.06: Advanced Topics: Introduction to Deep Learning

Contact

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

Office: ERB 346