PIE: A Pipeline Energy-Efficient Accelerator for Inference Process in Deep Neural Networks. - Yangyang Zhao; Qi Yu; Xuda Zhou; Xuehai Zhou; Xi Li 003; Chao Wang 003 (ICPADS, 2016)

TuNao: A High-Performance and Energy-Efficient Reconfigurable Accelerator for Graph Processing. - Jinhong Zhou; Shaoli Liu; Qi Guo 001; Xuda Zhou; Tian Zhi; Dao-Fu Liu; Chao Wang 003; Xuehai Zhou; Yunji Chen; Tianshi Chen 002 (CCGrid, 2017)

Cambricon-S: Addressing Irregularity in Sparse Neural Networks through A Cooperative Software/Hardware Approach. - Xuda Zhou; Zidong Du; Qi Guo 001; Shaoli Liu; Chengsi Liu; Chao Wang 003; Xuehai Zhou; Ling Li 001; Tianshi Chen 002; Yunji Chen (MICRO, 2018)

BSHIFT: A Low Cost Deep Neural Networks Accelerator. - Yong Yu; Tian Zhi; Xuda Zhou; Shaoli Liu; Yunji Chen; Shuyao Cheng (Int. J. Parallel Program., 2019)

Addressing Sparsity in Deep Neural Networks. - Xuda Zhou; Zidong Du; Shijin Zhang; Lei Zhang 008; Huiying Lan; Shaoli Liu; Ling Li 001; Qi Guo 001; Tianshi Chen 002; Yunji Chen (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019)

Addressing Irregularity in Sparse Neural Networks Through a Cooperative Software/Hardware Approach. - Xi Zeng; Tian Zhi; Xuda Zhou; Zidong Du; Qi Guo 001; Shaoli Liu; Bingrui Wang; Yuanbo Wen; Chao Wang 003; Xuehai Zhou; Ling Li 001; Tianshi Chen 002; et al. (IEEE Trans. Computers, 2020)