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Zhi Gang Liu
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2020 – today
- 2024
- [c7]Yan-Ying Guo, Zhi Gang Liu, Jun Yan Lu:
Bad Weather Condition Shadow detection of Docking Aircraft Algorithm. ICMLC 2024: 311-315 - 2022
- [c6]Zhi Gang Liu, Paul N. Whatmough, Yuhao Zhu, Matthew Mattina:
S2TA: Exploiting Structured Sparsity for Energy-Efficient Mobile CNN Acceleration. HPCA 2022: 573-586 - 2021
- [c5]Urmish Thakker, Paul N. Whatmough, Zhi Gang Liu, Matthew Mattina, Jesse G. Beu:
Doping: A technique for Extreme Compression of LSTM Models using Sparse Structured Additive Matrices. MLSys 2021 - [i6]Urmish Thakker, Paul N. Whatmough, Zhi Gang Liu, Matthew Mattina, Jesse G. Beu:
Doping: A technique for efficient compression of LSTM models using sparse structured additive matrices. CoRR abs/2102.07071 (2021) - [i5]Zhi Gang Liu, Paul N. Whatmough, Yuhao Zhu, Matthew Mattina:
S2TA: Exploiting Structured Sparsity for Energy-Efficient Mobile CNN Acceleration. CoRR abs/2107.07983 (2021) - 2020
- [j1]Zhi Gang Liu, Paul N. Whatmough, Matthew Mattina:
Systolic Tensor Array: An Efficient Structured-Sparse GEMM Accelerator for Mobile CNN Inference. IEEE Comput. Archit. Lett. 19(1): 34-37 (2020) - [c4]Zhi Gang Liu, Matthew Mattina:
Efficient Residue Number System Based Winograd Convolution. ECCV (19) 2020: 53-68 - [i4]Zhi Gang Liu, Paul N. Whatmough, Matthew Mattina:
Systolic Tensor Array: An Efficient Structured-Sparse GEMM Accelerator for Mobile CNN Inference. CoRR abs/2005.08098 (2020) - [i3]Zhi Gang Liu, Matthew Mattina:
Efficient Residue Number System Based Winograd Convolution. CoRR abs/2007.12216 (2020) - [i2]Zhi Gang Liu, Paul N. Whatmough, Matthew Mattina:
Sparse Systolic Tensor Array for Efficient CNN Hardware Acceleration. CoRR abs/2009.02381 (2020)
2010 – 2019
- 2019
- [c3]Yan-Ying Guo, Zhi Gang Liu, Qing-Ji Gao:
Based on Weighted Morphology Aero-engine Bore Scope Cracks Image Segmentation. ICMLC 2019: 451-455 - [c2]Zhi Gang Liu, Matthew Mattina:
Learning Low-precision Neural Networks without Straight-Through Estimator (STE). IJCAI 2019: 3066-3072 - [i1]Zhi Gang Liu, Matthew Mattina:
Learning low-precision neural networks without Straight-Through Estimator(STE). CoRR abs/1903.01061 (2019) - 2018
- [c1]Li Zhao, Zhi Gang Liu, Dong Wang:
Research On Multi-point Calibration Linear Approximation Indoor Positioning Algorithm Based On LED Array. ICSAI 2018: 751-756
Coauthor Index
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