Xiaoyi Qu (曲笑一)
PhD student
Department of Industrial and Systems Engineering,
Lehigh University,
200 W Packer Ave. Bethlehem, PA 18015.
Email: xiq322@lehigh.edu
Xiaoyi Qu (曲笑一)
PhD student
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Xiaoyi Qu is a fourth-year Ph.D. student in the Department of Industrial and Systems Engineering at Lehigh University, under the supervision of Prof. Daniel P. Robinson. His research focuses on two primary directions: (i) the development and theoretical analysis of first-order methods for solvinig constrained structured optimization problems, and (ii) the design of pruning and quantization methodologies aimed at mitigating storage and inference inefficiencies in large-scale language models. In 2024, he worked as a research intern with Microsoft's Applied Sciences Group (ASG), where his work centered on joint pruning and quantization techniques. Prior to this, he was an acoustic test intern at Neusoft Medical in 2019.
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
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A Proximal Gradient Method for Equality Constrained Optimization [  ] Yutong Dai, Xiaoyi Qu, Daniel P. Robinson. SIAM Journal on Optimization (SIOPT), 2025 2025 Van Hoesen Family Best Publication Award (Honorable Mention) [Paper] [arXiv] |
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Automated Joint Structured Pruning and Quantization for Efficient Neural Network Training and Compression Xiaoyi Qu, David Aponte, Colby Banbury, Daniel P. Robinson, Tianyu Ding, Kazuhito Koishida, Ilya Zharkov, Tianyi Chen. Computer Vision and Pattern Recognition (CVPR), 2025 [Paper] [arXiv] [Code] |
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A Proximal Gradient Method for Solving Regularized Optimization with General Constraints [ ] Frank E. Curtis, Xiaoyi Qu , Daniel P. Robinson. arXiv preprint, 2025 [arXiv] |
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Multi-Agent Medical Decision Consensus Matrix System: An Intelligent Collaborative Framework for Oncology MDT Consultation
Xudong Han, Xianglun Gao, Xiaoyi Qu, Zhenyu Yu. arXiv preprint, 2025 [arXiv] |
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HESSO: Towards Automatic Efficient and User Friendly Any Neural Network Training and Pruning Xiaoyi Qu, David Aponte, Colby Banbury, Jongwoo Ko, Tianyu Ding, Yong Ma, Vladimir Lyapunov, Ilya Zharkov, Luming Liang, Tianyi Chen. arXiv preprint, 2024 [arXiv] [Code] |
Journal Reviewer: Optimization and Enigneering, Computational Optimization and Applications
Conference Reviewer: Constrained Optimization for Machine Learning (COML) Workshop, NeurIPS 2025; ICASSP 2026
I am originally from northeastern China.
I am a big fan of Cantonese roast duck and once drove 2 hours just to pick one up from a local store.
Since childhood, I have dreamed of becoming a geologist, partly for the chance to travel across the nation for free.