Qinyu Xu

Ph.D. Student
Courant Institute of Mathematical Sciences
New York University

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Qinyu Xu

About

I am a Ph.D. student at the Courant Institute of Mathematical Sciences, New York University, advised by Aurojit Panda. My research focuses on systems for machine learning, with an emphasis on efficient LLM inference and serving. I also think about other things.

Research Interests

Systems for machine learning.

Education

New York University — New York, NY
Ph.D. in Computer Science, 2025 – Present

Tsinghua University — Beijing, China
B.S. in Computer Science and Engineering, 2021 – 2025

Publications

Tactic: Adaptive Sparse Attention with Clustering and Distribution Fitting for Long-Context LLMs
Kan Zhu, Tian Tang, Qinyu Xu, Yile Gu, Zhichen Zeng, Rohan Kadekodi, Liangyu Zhao, Ang Li, Arvind Krishnamurthy, Baris Kasikci
ICLR 2026
Paper

NanoFlow: Towards Optimal Large Language Model Serving Throughput
Kan Zhu, Yilong Zhao, Liangyu Zhao, Gefei Zuo, Yile Gu, Dedong Xie, Yufei Gao, Qinyu Xu, Tian Tang, Zihao Ye, Keisuke Kamahori, Chien-Yu Lin, Stephanie Wang, Arvind Krishnamurthy, Baris Kasikci
OSDI 2025
Paper