Xi Xie

prof_pic.jpg

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

Apr 12, 2025 Our papers Graph Convolutional Network Acceleration Using Adiabatic Superconductor Josephson Devices and DR-CircuitGNN: Training Acceleration of Heterogeneous Circuit Graph Neural Network on GPUs have been accepted by ICS 2025.
Jan 31, 2025 Our paper RANKFLOW: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models has been accepted by WWW-RelWeb 2025.
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 2025.
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 2024).

Selected Publications

  1. ICLR
    topk_kernel_0325.png
    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
  2. ASPLOS
    maxk_forward_kernel.png
    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
  3. ICCAD
    block_level_partition0517_new.png
    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