Lizhi Xiang

11 papers A* 1A 1B 2Journal 5Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
cuTeSpMM: Accelerating Sparse-Dense Matrix Multiplication using GPU Tensor Cores.
CoRR
Lizhi Xiang, Omid Asudeh, Gerald Sabin, Aravind Sukumaran-Rajam, P. Sadayappan
2024 — conf
HRBP: Hardware-friendly Regrouping towards Block-based Pruning for Sparse CNN Training.
CPAL
Haoyu Ma, Chengming Zhang, Lizhi Xiang, Xiaolong Ma, Geng Yuan, Wenkai Zhang, Shiwei Liu, Tianlong Chen, Dingwen Tao, Yanzhi Wang, Zhangyang Wang, Xiaohui Xie
2023 J jnl
Accelerating Graph Computations on 3D NoC-Enabled PIM Architectures.
ACM Trans. Design Autom. Electr. Syst.
Dwaipayan Choudhury, Lizhi Xiang, Aravind Sukumaran-Rajam, Anantharaman Kalyanaraman, Partha Pratim Pande
2023 A* conf
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks.
AAAI
Jinqi Xiao, Chengming Zhang, Yu Gong, Miao Yin, Yang Sui, Lizhi Xiang, Dingwen Tao, Bo Yuan
2023 J jnl
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks.
CoRR
Jinqi Xiao, Chengming Zhang, Yu Gong, Miao Yin, Yang Sui, Lizhi Xiang, Dingwen Tao, Bo Yuan
2023 J jnl
Long-sequence voltage series forecasting for internal short circuit early detection of lithium-ion batteries.
Patterns
Binghan Cui, Han Wang, Renlong Li, Lizhi Xiang, Jiannan Du, Huaian Zhao, Sai Li, Xinyue Zhao, Geping Yin, Xinqun Cheng, Yulin Ma, Hua Huo, Pengjian Zuo, Guokang Han, Chunyu Du
2023 B conf
TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition.
PPoPP
Lizhi Xiang, Miao Yin, Chengming Zhang, Aravind Sukumaran-Rajam, P. Sadayappan, Bo Yuan, Dingwen Tao
2023 — conf
cuAlign: Scalable Network Alignment on GPU Accelerators.
SC Workshops
Lizhi Xiang, Arif M. Khan, S. M. Ferdous, Aravind Sukumaran-Rajam, Mahantesh Halappanavar
2022 B conf
High-Performance Architecture Aware Sparse Convolutional Neural Networks for GPUs.
PACT
Lizhi Xiang, P. Sadayappan, Aravind Sukumaran-Rajam
2022 J jnl
TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition.
CoRR
Lizhi Xiang, Miao Yin, Chengming Zhang, Aravind Sukumaran-Rajam, P. Sadayappan, Bo Yuan, Dingwen Tao
2021 A conf
cuTS: scaling subgraph isomorphism on distributed multi-GPU systems using trie based data structure.
SC
Lizhi Xiang, Arif Khan, Edoardo Serra, Mahantesh Halappanavar, Aravind Sukumaran-Rajam