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 Breaking Boundaries: Distributed Domain Decomposition with Scalable Physics-Informed Neural PDE Solvers
Arthur Feeney,
Zitong Li,
Ramin Bostanabad,
Aparna Chandramowlishwaran
SC'23, 2023 Parallel Randomized Tucker Decomposition Algorithms
Rachel Minster,
Zitong Li,
Grey Ballard
SIAM Journal on Scientific Computing, 2023 Parallel Memory-Efficient Computation of Symmetric Higher-Order Joint Moment Tensors
Zitong Li,
Hemanth Kolla,
Eric Phipps
PASC'22, 2022 Parallel Tucker Decomposition with Numerically Accurate SVD
Zitong Li,
Qiming Fang,
Grey Ballard
ICPP'21, 2021