Xi Xie

About Me

I am a Ph.D. student in the Department of Computer Science and Engineering at the University of Connecticut since Fall 2022, advised by Prof. Caiwen Ding. I obtained my M.S. degree in Geophysics from the Institute of Geophysics, China Earthquake Administration, advised by Prof. Zhongliang Wu.

My research interests include high-performance GPU algorithm design and secure and trustworthy AI/ML systems. I am skilled in C++/CUDA programming and CUDA algorithm design, and I enjoy challenging the performance of official libraries.

News

Jan 22, 2025	Our paper RTop-K: Ultra-Fast Row-Wise Top-K Selection for Neural Network Acceleration on GPUs has been accepted by ICLR 25.
Aug 02, 2024	I received the Eversource Fellowship. Thanks Uconn Eversource Energy Center!
Jul 22, 2024	I gave a talk at the Artificial Intelligence Hardware (AIHW) Annual Review about my work on MaxK-GNN (ASPLOS 24).
Jun 25, 2024	Our paper AdaPI: Facilitating DNN Model Adaptivity for Efficient Private Inference in Edge Computing has been accepted by ICCAD 24.
Apr 15, 2024	I was invited to be a program committee member of the Great Lakes Symposium on VLSI 2024.

Selected Publications

ICLR

RTop-K: Ultra-Fast Row-Wise Top-K Selection for Neural Network Acceleration on GPUs

Xi Xie, Yuebo Luo, Hongwu Peng, and 1 more author

In The Thirteenth International Conference on Learning Representations, 2025

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ASPLOS

MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training

Xi Xie^*, Hongwu Peng^*, Kaustubh Shivdikar, and 6 more authors

In Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2, La Jolla, CA, USA, 2024

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ICCAD

Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks

Xi Xie, Hongwu Peng, Amit Hasan, and 7 more authors

In 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 2023

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