Jianxun Yang

According to our database, Jianxun Yang authored at least 12 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Fast Solution for the Eikonal Equation Based on Quadratic Function in Weakly Tilted Transversely Isotropic Media.

Yongming Lu, Jianfeng Zhang, Kai Yang, Jianxun Yang, Zhengwei Li

IEEE Trans. Geosci. Remote. Sens., 2024

2022

Reconstruction of the S-Wave Velocity via Mixture Density Networks With a New Rayleigh Wave Dispersion Function.

Jianxun Yang, Chen Xu, Ye Zhang

IEEE Trans. Geosci. Remote. Sens., 2022

GQNA: Generic Quantized DNN Accelerator With Weight-Repetition-Aware Activation Aggregating.

Jianxun Yang, Fengbin Tu, Yixuan Li, Yiqi Wang, Leibo Liu, Shaojun Wei, Shouyi Yin

IEEE Trans. Circuits Syst. I Regul. Pap., 2022

Modeling the pile settlement using the Integrated Radial Basis Function (RBF) neural network by Novel Optimization algorithms: HRBF-AOA and HRBF-BBO.

Ming Zhang, Qian Du, Jianxun Yang, Song Liu

J. Intell. Fuzzy Syst., 2022

2021

TIMAQ: A Time-Domain Computing-in-Memory-Based Processor Using Predictable Decomposed Convolution for Arbitrary Quantized DNNs.

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

IEEE J. Solid State Circuits, 2021

A new mathematical model for dispersion of Rayleigh wave and a machine learning based inversion solver.

Jianxun Yang, Chen Xu, Ye Zhang

CoRR, 2021

FuseKNA: Fused Kernel Convolution based Accelerator for Deep Neural Networks.

Jianxun Yang, Zhao Zhang, Zhuangzhi Liu, Jing Zhou, Leibo Liu, Shaojun Wei, Shouyi Yin

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021

2020

A Time-Domain Computing-in-Memory based Processor using Predictable Decomposed Convolution for Arbitrary Quantized DNNs.

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

Proceedings of the IEEE Asian Solid-State Circuits Conference, 2020

2019

An Energy-Efficient Reconfigurable Processor for Binary-and Ternary-Weight Neural Networks With Flexible Data Bit Width.

Shouyi Yin, Peng Ouyang, Jianxun Yang, Tianyi Lu, Xiudong Li, Leibo Liu, Shaojun Wei

IEEE J. Solid State Circuits, 2019

An Energy-Efficient Architecture for Accelerating Inference of Memory-Augmented Neural Networks.

Jianxun Yang, Leibo Liu, Jin Zhang, Shaojun Wei, Shouyi Yin

Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2019

2018

An Ultra-High Energy-Efficient Reconfigurable Processor for Deep Neural Networks with Binary/Ternary Weights in 28NM CMOS.

Shouyi Yin, Peng Ouyang, Jianxun Yang, Tianyi Lu, Xiudong Li, Leibo Liu, Shaojun Wei

Proceedings of the 2018 IEEE Symposium on VLSI Circuits, 2018

2017

A two-stage variation-aware task mapping scheme for fault-tolerant multi-core Network-on-Chips.

Lei Zhang, Jianxun Yang, Chengbo Xue, Yue Ma, Shan Cao

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017