Novel interacting phenomena in (2+1) dimensional AKNS system. - Xian-Jing Lai; Mei-zhen Jin; Jie-Fang Zhang (Appl. Math. Comput., 2012)

Low memory-cost scramble methods for constructing deterministic CS matrix. - Jie-Fang Zhang; Jing Geng; Yu-Min Lin; An-Yeu Andy Wu (SiPS, 2015)

Structural Scrambling of Circulant Matrices for Cost-effective Compressive Sensing. - Yu-Min Lin; Jie-Fang Zhang; Jing Geng; An-Yeu Andy Wu (J. Signal Process. Syst., 2018)

SNAP: A 1.67 - 21.55TOPS/W Sparse Neural Acceleration Processor for Unstructured Sparse Deep Neural Network Inference in 16nm CMOS. - Jie-Fang Zhang; Ching-En Lee; Chester Liu; Yakun Sophia Shao; Stephen W. Keckler; Zhengya Zhang (VLSI Circuits, 2019)

Point-X: A Spatial-Locality-Aware Architecture for Energy-Efficient Graph-Based Point-Cloud Deep Learning. - Jie-Fang Zhang; Zhengya Zhang (MICRO, 2021)

Exploration of Energy-Efficient Architecture for Graph-Based Point-Cloud Deep Learning. - Jie-Fang Zhang; Zhengya Zhang (SiPS, 2021)

SNAP: An Efficient Sparse Neural Acceleration Processor for Unstructured Sparse Deep Neural Network Inference. - Jie-Fang Zhang; Ching-En Lee; Chester Liu; Yakun Sophia Shao; Stephen W. Keckler; Zhengya Zhang (IEEE J. Solid State Circuits, 2021)

TetriX: Flexible Architecture and Optimal Mapping for Tensorized Neural Network Processing. - Jie-Fang Zhang; Cheng-Hsun Lu; Zhengya Zhang (IEEE Trans. Computers, 2024)