Jiajun Wu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 7

Top Topics

Restricted Boltzmann Machine

Bayesian Logistic Regression

Hybrid Neural Network

Top Venues

IEEE Trans. Circuits Syst. I Regul. Pap.

IEEE J. Emerg. Sel. Topics Circuits Syst.

Publications

Jiajun Zhou, Jiajun Wu, Yizhao Gao, Yuhao Ding, Chaofan Tao, Boyu Li, Fengbin Tu, Kwang-Ting Cheng, Hayden Kwok-Hay So, Ngai Wong
DyBit: Dynamic Bit-Precision Numbers for Efficient Quantized Neural Network Inference. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (5) (2024)
Bingqiang Liu, Ziyuan Wen, Hongling Zhu, Jinsheng Lai, Jiajun Wu, Heng Ping, Wenqing Liu, Guoyi Yu, Jianmin Zhang, Zuozhu Liu, Hesong Zeng, Chao Wang
Energy-Efficient Intelligent Pulmonary Auscultation for Post COVID-19 Era Wearable Monitoring Enabled by Two-Stage Hybrid Neural Network. ISCAS (2022)
Jiarui Xu, Yi Zhan, Yujie Li, Jiajun Wu, Xinglong Ji, Guoyi Yu, Wenyu Jiang, Rong Zhao, Chao Wang
In Situ Aging-Aware Error Monitoring Scheme for IMPLY-Based Memristive Computing-in-Memory Systems. IEEE Trans. Circuits Syst. I Regul. Pap. 69 (1) (2022)
Jiajun Wu, Yi Zhan, Zixuan Peng, Xinglong Ji, Guoyi Yu, Rong Zhao, Chao Wang
Efficient Design of Spiking Neural Network With STDP Learning Based on Fast CORDIC. IEEE Trans. Circuits Syst. I Regul. Pap. 68 (6) (2021)
Jiajun Wu, Xuan Huang, Le Yang, Jipeng Wang, Bingqiang Liu, Ziyuan Wen, Juhui Li, Guoyi Yu, Kwen-Siong Chong, Chao Wang
An Energy-Efficient Deep Belief Network Processor Based on Heterogeneous Multi-Core Architecture With Transposable Memory and On-Chip Learning. IEEE J. Emerg. Sel. Topics Circuits Syst. 11 (4) (2021)
Qianjin Wang, Yi Zhan, Bingqiang Liu, Jiajun Wu, Youhua Shi, Guoyi Yu, Chao Wang
A Reconfigurable Area and Energy Efficient Hardware Accelerator of Five High-order Operators for Vision Sensor Based Robot Systems. ICTA (2021)
Jiajun Wu, Xuan Huang, Le Yang, Liang Wang, Jipeng Wang, Zuozhu Liu, Kwen-Siong Chong, Shaowei Lin, Chao Wang
An Energy-efficient Multi-core Restricted Boltzmann Machine Processor with On-chip Bio-plausible Learning and Reconfigurable Sparsity. A-SSCC (2020)