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2020 – today
- 2024
[j4]Jie-Fang Zhang
, Cheng-Hsun Lu, Zhengya Zhang:
TetriX: Flexible Architecture and Optimal Mapping for Tensorized Neural Network Processing. IEEE Trans. Computers 73(5): 1219-1232 (2024)- 2021
- [j3]Jie-Fang Zhang, Ching-En Lee, Chester Liu, Yakun Sophia Shao, Stephen W. Keckler, Zhengya Zhang:
SNAP: An Efficient Sparse Neural Acceleration Processor for Unstructured Sparse Deep Neural Network Inference. IEEE J. Solid State Circuits 56(2): 636-647 (2021) - [c4]Jie-Fang Zhang, Zhengya Zhang:
Point-X: A Spatial-Locality-Aware Architecture for Energy-Efficient Graph-Based Point-Cloud Deep Learning. MICRO 2021: 1078-1090 - [c3]Jie-Fang Zhang, Zhengya Zhang:
Exploration of Energy-Efficient Architecture for Graph-Based Point-Cloud Deep Learning. SiPS 2021: 260-264
2010 – 2019
- 2019
- [c2]Jie-Fang Zhang, Ching-En Lee, Chester Liu, Yakun Sophia Shao, Stephen W. Keckler, Zhengya Zhang:
SNAP: A 1.67 - 21.55TOPS/W Sparse Neural Acceleration Processor for Unstructured Sparse Deep Neural Network Inference in 16nm CMOS. VLSI Circuits 2019: 306- - 2018
- [j2]Yu-Min Lin, Jie-Fang Zhang, Jing Geng, An-Yeu Andy Wu:
Structural Scrambling of Circulant Matrices for Cost-effective Compressive Sensing. J. Signal Process. Syst. 90(5): 695-707 (2018) - 2015
- [c1]Jie-Fang Zhang, Jing Geng, Yu-Min Lin, An-Yeu Andy Wu:
Low memory-cost scramble methods for constructing deterministic CS matrix. SiPS 2015: 1-6 - 2012
- [j1]Xian-Jing Lai, Mei-zhen Jin, Jie-Fang Zhang:
Novel interacting phenomena in (2+1) dimensional AKNS system. Appl. Math. Comput. 218(20): 10056-10062 (2012)
Coauthor Index
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