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2020 – today
- 2024
[j6]Yongming Lu
, Jianfeng Zhang, Kai Yang, Jianxun Yang, Zhengwei Li:
A Fast Solution for the Eikonal Equation Based on Quadratic Function in Weakly Tilted Transversely Isotropic Media. IEEE Trans. Geosci. Remote. Sens. 62: 1-10 (2024)- 2022
- [j5]Ming Zhang, Qian Du, Jianxun Yang, Song Liu:
Modeling the pile settlement using the Integrated Radial Basis Function (RBF) neural network by Novel Optimization algorithms: HRBF-AOA and HRBF-BBO. J. Intell. Fuzzy Syst. 43(6): 7009-7022 (2022) - [j4]Jianxun Yang, Fengbin Tu, Yixuan Li, Yiqi Wang, Leibo Liu, Shaojun Wei, Shouyi Yin:
GQNA: Generic Quantized DNN Accelerator With Weight-Repetition-Aware Activation Aggregating. IEEE Trans. Circuits Syst. I Regul. Pap. 69(10): 4069-4082 (2022) - [j3]Jianxun Yang, Chen Xu, Ye Zhang:
Reconstruction of the S-Wave Velocity via Mixture Density Networks With a New Rayleigh Wave Dispersion Function. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - 2021
- [j2]Jianxun Yang, Yuyao Kong, Zhao Zhang, Zhuangzhi Liu, Jing Zhou, Yiqi Wang, Yonggang Liu, Chenfu Guo, Te Hu, Congcong Li, Leibo Liu, Jin Zhang, Shaojun Wei, Jun Yang, Shouyi Yin:
TIMAQ: A Time-Domain Computing-in-Memory-Based Processor Using Predictable Decomposed Convolution for Arbitrary Quantized DNNs. IEEE J. Solid State Circuits 56(10): 3021-3038 (2021) - [c5]Jianxun Yang, Zhao Zhang, Zhuangzhi Liu, Jing Zhou, Leibo Liu, Shaojun Wei, Shouyi Yin:
FuseKNA: Fused Kernel Convolution based Accelerator for Deep Neural Networks. HPCA 2021: 894-907 - [i1]Jianxun Yang, Chen Xu, Ye Zhang:
A new mathematical model for dispersion of Rayleigh wave and a machine learning based inversion solver. CoRR abs/2106.14025 (2021) - 2020
- [c4]Jianxun Yang, Yuyao Kong, Zhao Zhang, Zhuangzhi Liu, Jing Zhou, Yiqi Wang, Yonggang Liu, Chenfu Guo, Te Hu, Congcong Li, Leibo Liu, Jin Zhang, Shaojun Wei, Jun Yang, Shouyi Yin:
A Time-Domain Computing-in-Memory based Processor using Predictable Decomposed Convolution for Arbitrary Quantized DNNs. A-SSCC 2020: 1-4
2010 – 2019
- 2019
- [j1]Shouyi Yin, Peng Ouyang, Jianxun Yang, Tianyi Lu, Xiudong Li, Leibo Liu, Shaojun Wei:
An Energy-Efficient Reconfigurable Processor for Binary-and Ternary-Weight Neural Networks With Flexible Data Bit Width. IEEE J. Solid State Circuits 54(4): 1120-1136 (2019) - [c3]Jianxun Yang, Leibo Liu, Jin Zhang, Shaojun Wei, Shouyi Yin:
An Energy-Efficient Architecture for Accelerating Inference of Memory-Augmented Neural Networks. NANOARCH 2019: 1-6 - 2018
- [c2]Shouyi Yin, Peng Ouyang, Jianxun Yang, Tianyi Lu, Xiudong Li, Leibo Liu, Shaojun Wei:
An Ultra-High Energy-Efficient Reconfigurable Processor for Deep Neural Networks with Binary/Ternary Weights in 28NM CMOS. VLSI Circuits 2018: 37-38 - 2017
- [c1]Lei Zhang, Jianxun Yang, Chengbo Xue, Yue Ma, Shan Cao:
A two-stage variation-aware task mapping scheme for fault-tolerant multi-core Network-on-Chips. ISCAS 2017: 1-4
Coauthor Index
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