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 high-performance and energy-efficient learning-based intelligence systems. His research interests broadly include:

  • Spatial/Multimodal Intelligence Systems
  • Intelligent High-Performance Computing
  • Large-Scale Neural Model Optimization
  • 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 (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'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)
  • IEEE International Conference on Computer Design (ICCD'24)

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)

Contact

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

Office: ERB 556B