Jinyu Bai

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 19

Top Topics

Pruning Algorithms

Computing Paradigms

Uniform Quantization

Top Venues

IEEE Trans. Circuits Syst. I Regul. Pap.

Publications

Lichuan Luo, Erya Deng, Dijun Liu, Zhen Wang, Weiliang Huang, He Zhang, Xiao Liu, Jinyu Bai, Junzhan Liu, Youguang Zhang, Wang Kang
CiTST-AdderNets: Computing in Toggle Spin Torques MRAM for Energy-Efficient AdderNets. IEEE Trans. Circuits Syst. I Regul. Pap. 71 (3) (2024)
Sifan Sun, Jinyu Bai, Zhaoyu Shi, Weisheng Zhao, Wang Kang
CIM²PQ: An Arraywise and Hardware-Friendly Mixed Precision Quantization Method for Analog Computing-In-Memory. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (7) (2024)
Jinyu Bai, He Zhang, Wang Kang
MixMixQ: Quantization with Mixed Bit-Sparsity and Mixed Bit-Width for CIM Accelerators. ACM Great Lakes Symposium on VLSI (2024)
Jinyu Bai, Sifan Sun, Weisheng Zhao, Wang Kang
CIMQ: A Hardware-Efficient Quantization Framework for Computing-In-Memory-Based Neural Network Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (1) (2024)
Wenlu Xue, Jinyu Bai, Sifan Sun, Wang Kang
Hierarchical Non-Structured Pruning for Computing-In-Memory Accelerators with Reduced ADC Resolution Requirement. DATE (2023)
Jinyu Bai, Wenlu Xue, Yunqian Fan, Sifan Sun, Wang Kang
Partial Sum Quantization for Computing-In-Memory-Based Neural Network Accelerator. IEEE Trans. Circuits Syst. II Express Briefs 70 (8) (2023)
Sifan Sun, Jinming Ge, Jinyu Bai, Wang Kang
ES-MPQ: Evolutionary Search Enabled Mixed Precision Quantization Framework for Computing-in-Memory. NVMSA (2023)
Haiyan Qin, Yejun Zeng, Jinyu Bai, Wang Kang
Searching Tiny Neural Networks for Deployment on Embedded FPGA. AICAS (2023)
Jinyu Bai, Sifan Sun, Wang Kang
Exploring Bit-Level Sparsity for Partial Sum Quantization in Computing-In-Memory Accelerator. NVMSA (2023)
Lichuan Luo, Dijun Liu, He Zhang, Youguang Zhang, Jinyu Bai, Wang Kang
SpinCIM: spin orbit torque memory for ternary neural networks based on the computing-in-memory architecture. CCF Trans. High Perform. Comput. 4 (4) (2022)
He Zhang, Junzhan Liu, Jinyu Bai, Sai Li, Lichuan Luo, Shaoqian Wei, Jianxin Wu, Wang Kang
HD-CIM: Hybrid-Device Computing-In-Memory Structure Based on MRAM and SRAM to Reduce Weight Loading Energy of Neural Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 69 (11) (2022)
Wenshuo Li, Xinghao Chen, Jinyu Bai, Xuefei Ning, Yunhe Wang
Searching for Energy-Efficient Hybrid Adder-Convolution Neural Networks. CVPR Workshops (2022)
Lichuan Luo, He Zhang, Jinyu Bai, Youguang Zhang, Wang Kang, Weisheng Zhao
SpinLiM: Spin Orbit Torque Memory for Ternary Neural Networks Based on the Logic-in-Memory Architecture. DATE (2021)
Yan Huang, Erya Deng, Jinyu Bai, Qing Yang, Wang Kang, Biao Pan
HSC: A Hybrid Spin/CMOS Logic Based In-Memory Engine with Area-Efficient Mapping Strategy. ISCAS (2021)
Jinyu Bai, Yunqian Fan, Sifan Sun, Wang Kang, Weisheng Zhao
Tiny neural network search and implementation for embedded FPGA: a software-hardware co-design approach. A-SSCC (2021)
He Zhang, Junzhan Liu, Kang Wang, Yunqian Fan, Shufeng Fu, Jinyu Bai, Biao Pan, Yongpan Liu, Weisheng Zhao
A 40nm 33.6Tops/W 8T-SRAM Computing-in-Memory Macro with DAC-less Spike-Pulse-Truncation Input and ADC-less Charge-Reservoir-Integrate-Counter Output. ICTA (2021)
Biao Pan, Kang Wang, Xing Chen, Jinyu Bai, Jianlei Yang, Youguang Zhang, Weisheng Zhao
SR-WTA: Skyrmion Racing Winner-Takes-All Module for Spiking Neural Computing. ISCAS (2019)
Biao Pan, Kang Wang, Xing Chen, Jinyu Bai, Jianlei Yang, Sai Li, Youguang Zhang, Weisheng Zhao
Magnetic Skyrmion-Based Neural Recording System Design for Brain Machine Interface. ISCAS (2019)
Sai Li, Wang Kang, Xing Chen, Jinyu Bai, Biao Pan, Youguang Zhang, Weisheng Zhao
Emerging Neuromorphic Computing Paradigms Exploring Magnetic Skyrmions. ISVLSI (2018)