Xiaoyi Qu

Xiaoyi Qu Department of Industrial and Systems Engineering (ISE) Rossin School of Engineering, Lehigh University LinkedIn Github

Introduction

Xiaoyi Qu is currently a third year PhD student in the Department of Industrial and Systems Engineering of Lehigh University, working with Prof. Daniel P. Robinson. His current research focuses on constrained structured optimization problems. Recently, he has become interested in efficient AI to enhance the training and inference efficiency of deep neural networks.

Education

• Ph.D., Industrial Engineering, Lehigh University, Bethlehem, PA, USA, 2022–current

• B.S., Mathematical Science, University of Michigan, Ann Arbor, MI, USA, 2019–2022

• Computational Mathematics, Dalian University of Technology, Dalian, China, 2017–2019

Publications

• Automated Joint Structured Pruning and Quantization for Efficient Neural Network Training and Compression [pdf][Code]
  Xiaoyi Qu, David Aponte, Colby Banbury, Daniel Robinson, Tianyu Ding, Kazuhito Koishida, Ilya Zharkov, Tianyi Chen.
  The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
  

Preprints

• HESSO: Towards Automatic Efficient and User Friendly Any Neural Network Training and Pruning [pdf][Code]
  Tianyi Chen, Xiaoyi Qu, David Aponte, Colby Banbury, Jongwoo Ko, Tianyu Ding, Yong Ma, Vladimir Lyapunov, Ilya Zharkov, Luming Liang.
  arXiv preprint, 2024

• Proximal Gradient Method for Constrained Optimization [pdf]
  Yutong Dai, Xiaoyi Qu, Daniel P. Robinson.
  arXiv preprint, 2024

Contact

• Email: xiq322 AT lehigh DOT edu

• Address: 200 W Packer Ave. Bethlehem, PA 18015