About
I’m a Ph.D. student at UC Irvine, advised by Aparna Chandramowlishwaran. My research focuses on leveraging sparsity in machine learning models using GPUs.
I received my M.S. in 2022 from Wake Forest University, where I worked on parallel tensor decomposition algorithms advised by Grey Ballard. I received my B.S. in 2018 from the University of Nebraska, Lincoln,
Publications
Fused3S: Fast Sparse Attention on Tensor Cores
Zitong Li,
Aparna Chandramowlishwaran
ICS'25, 2025
DOI / Link → Breaking Boundaries: Distributed Domain Decomposition with Scalable Physics-Informed Neural PDE Solvers
Arthur Feeney,
Zitong Li,
Ramin Bostanabad,
Aparna Chandramowlishwaran
SC'23, 2023
DOI / Link → Parallel Randomized Tucker Decomposition Algorithms
Rachel Minster,
Zitong Li,
Grey Ballard
SIAM Journal on Scientific Computing, 2023
DOI / Link → Parallel Memory-Efficient Computation of Symmetric Higher-Order Joint Moment Tensors
Zitong Li,
Hemanth Kolla,
Eric Phipps
PASC'22, 2022
DOI / Link → Parallel Tucker Decomposition with Numerically Accurate SVD
Zitong Li,
Qiming Fang,
Grey Ballard
ICPP'21, 2021
DOI / Link →