Standout Papers

Pruning and quantization for deep neural network acceleration: A survey 2021 2026 2022 2024365
  1. Pruning and quantization for deep neural network acceleration: A survey (2021)
    Tailin Liang, John Glossner et al. Neurocomputing

Immediate Impact

20 standout
Sub-graph 1 of 9

Citing Papers

A Survey on Deep Neural Network Pruning: Taxonomy, Comparison, Analysis, and Recommendations
2024 Standout
Comparing YOLOv8 and Mask R-CNN for instance segmentation in complex orchard environments
2024 Standout
2 intermediate papers

Works of Shi Shao-bo being referenced

Pruning and quantization for deep neural network acceleration: A survey
2021 Standout

Author Peers

Author Last Decade Papers Cites
Shi Shao-bo 184 5 18 165 90 5 402
Zheng Xu 170 9 12 171 40 14 363
Y. Tagawa 37 12 81 107 3 425
Jan Pelzl 146 33 227 66 10 398
Kaixiang Lin 64 2 160 132 13 445
Shenglin Mu 141 123 84 16 439
Frédéric Bastien 154 1 20 211 38 3 440
Gen Zhang 112 1 3 165 25 12 371
Andreas Veit 172 6 201 32 9 406
Biao Gong 257 2 1 87 74 9 453
K. Li 77 50 68 61 11 364

All Works

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2026