Jianxun Yang

15 papers A* 2C 1Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
CV-CIM: A Hybrid Domain Xor-Derived Similarity-Aware Computation-in-Memory Supporting Cost-Volume Construction.
IEEE J. Solid State Circuits
Zhiheng Yue, Yang Wang, Huizheng Wang, Ruiqi Guo, Fengbin Tu, Jianxun Yang, Shaojun Wei, Yang Hu, Shouyi Yin
2025 A* conf
MCBP: A Memory-Compute Efficient LLM Inference Accelerator Leveraging Bit-Slice-enabled Sparsity and Repetitiveness.
MICRO
Huizheng Wang, Zichuan Wang, Zhiheng Yue, Yousheng Long, Taiquan Wei, Jianxun Yang, Yang Wang, Chao Li, Shaojun Wei, Yang Hu, Shouyi Yin
2025 J jnl
MCBP: A Memory-Compute Efficient LLM Inference Accelerator Leveraging Bit-Slice-enabled Sparsity and Repetitiveness.
CoRR
Huizheng Wang, Zichuan Wang, Zhiheng Yue, Yousheng Long, Taiquan Wei, Jianxun Yang, Yang Wang, Chao Li, Shaojun Wei, Yang Hu, Shouyi Yin
2024 J jnl
A Fast Solution for the Eikonal Equation Based on Quadratic Function in Weakly Tilted Transversely Isotropic Media.
IEEE Trans. Geosci. Remote. Sens.
Yongming Lu, Jianfeng Zhang, Kai Yang, Jianxun Yang, Zhengwei Li
2022 J jnl
GQNA: Generic Quantized DNN Accelerator With Weight-Repetition-Aware Activation Aggregating.
IEEE Trans. Circuits Syst. I Regul. Pap.
Jianxun Yang, Fengbin Tu, Yixuan Li, Yiqi Wang, Leibo Liu, Shaojun Wei, Shouyi Yin
2022 J jnl
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.
Ming Zhang, Qian Du, Jianxun Yang, Song Liu
2022 J jnl
Reconstruction of the S-Wave Velocity via Mixture Density Networks With a New Rayleigh Wave Dispersion Function.
IEEE Trans. Geosci. Remote. Sens.
Jianxun Yang, Chen Xu, Ye Zhang
2021 J jnl
A new mathematical model for dispersion of Rayleigh wave and a machine learning based inversion solver.
CoRR
Jianxun Yang, Chen Xu, Ye Zhang
2021 A* conf
FuseKNA: Fused Kernel Convolution based Accelerator for Deep Neural Networks.
HPCA
Jianxun Yang, Zhao Zhang, Zhuangzhi Liu, Jing Zhou, Leibo Liu, Shaojun Wei, Shouyi Yin
2021 J jnl
TIMAQ: A Time-Domain Computing-in-Memory-Based Processor Using Predictable Decomposed Convolution for Arbitrary Quantized DNNs.
IEEE J. Solid State Circuits
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
2020 — conf
A Time-Domain Computing-in-Memory based Processor using Predictable Decomposed Convolution for Arbitrary Quantized DNNs.
A-SSCC
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
2019 — conf
An Energy-Efficient Architecture for Accelerating Inference of Memory-Augmented Neural Networks.
NANOARCH
Jianxun Yang, Leibo Liu, Jin Zhang, Shaojun Wei, Shouyi Yin
2019 J jnl
An Energy-Efficient Reconfigurable Processor for Binary-and Ternary-Weight Neural Networks With Flexible Data Bit Width.
IEEE J. Solid State Circuits
Shouyi Yin, Peng Ouyang, Jianxun Yang, Tianyi Lu, Xiudong Li, Leibo Liu, Shaojun Wei
2018 — conf
An Ultra-High Energy-Efficient Reconfigurable Processor for Deep Neural Networks with Binary/Ternary Weights in 28NM CMOS.
VLSI Circuits
Shouyi Yin, Peng Ouyang, Jianxun Yang, Tianyi Lu, Xiudong Li, Leibo Liu, Shaojun Wei
2017 C conf
A two-stage variation-aware task mapping scheme for fault-tolerant multi-core Network-on-Chips.
ISCAS
Lei Zhang, Jianxun Yang, Chengbo Xue, Yue Ma, Shan Cao