cuTS: scaling subgraph isomorphism on distributed multi-GPU systems using trie based data structure. - Lizhi Xiang; Arif Khan 005; Edoardo Serra; Mahantesh Halappanavar; Aravind Sukumaran-Rajam (SC, 2021)

High-Performance Architecture Aware Sparse Convolutional Neural Networks for GPUs. - Lizhi Xiang; P. Sadayappan; Aravind Sukumaran-Rajam (PACT, 2022)

HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks. - Jinqi Xiao; Chengming Zhang 006; Yu Gong; Miao Yin; Yang Sui; Lizhi Xiang; Dingwen Tao; Bo Yuan 001 (AAAI, 2023)

TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition. - Lizhi Xiang; Miao Yin; Chengming Zhang 006; Aravind Sukumaran-Rajam; P. Sadayappan; Bo Yuan 001; Dingwen Tao (PPoPP, 2023)

cuAlign: Scalable Network Alignment on GPU Accelerators. - Lizhi Xiang; Arif M. Khan; S. M. Ferdous; Aravind Sukumaran-Rajam; Mahantesh Halappanavar (SC Workshops, 2023)

Accelerating Graph Computations on 3D NoC-Enabled PIM Architectures. - Dwaipayan Choudhury; Lizhi Xiang; Aravind Sukumaran-Rajam; Anantharaman Kalyanaraman; Partha Pratim Pande (ACM Trans. Design Autom. Electr. Syst., 2023)

Long-sequence voltage series forecasting for internal short circuit early detection of lithium-ion batteries. - Binghan Cui; Han Wang; Renlong Li; Lizhi Xiang; Jiannan Du; Huaian Zhao; Sai Li; Xinyue Zhao; Geping Yin; Xinqun Cheng; Yulin Ma; Hua Huo; et al. (Patterns, 2023)

HRBP: Hardware-friendly Regrouping towards Block-based Pruning for Sparse CNN Training. - Haoyu Ma; Chengming Zhang 006; Lizhi Xiang; Xiaolong Ma; Geng Yuan; Wenkai Zhang; Shiwei Liu 003; Tianlong Chen 001; Dingwen Tao; Yanzhi Wang; Zhangyang Wang; Xiaohui Xie (CPAL, 2024)

cuTeSpMM: Accelerating Sparse-Dense Matrix Multiplication using GPU Tensor Cores. - Lizhi Xiang; Omid Asudeh; Gerald Sabin; Aravind Sukumaran-Rajam; P. Sadayappan (CoRR, 2025)