Jinyu Bai

According to our database, Jinyu Bai authored at least 20 papers between 2018 and 2024.

Collaborative distances:

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

2024

CIM²PQ: An Arraywise and Hardware-Friendly Mixed Precision Quantization Method for Analog Computing-In-Memory.

Sifan Sun, Jinyu Bai, Zhaoyu Shi, Weisheng Zhao, Wang Kang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., July, 2024

CiTST-AdderNets: Computing in Toggle Spin Torques MRAM for Energy-Efficient AdderNets.

Lichuan Luo, Erya Deng, Dijun Liu, Zhen Wang, Weiliang Huang, He Zhang, Xiao Liu, Jinyu Bai, Junzhan Liu, Youguang Zhang, Wang Kang

IEEE Trans. Circuits Syst. I Regul. Pap., March, 2024

CIMQ: A Hardware-Efficient Quantization Framework for Computing-In-Memory-Based Neural Network Accelerators.

Jinyu Bai, Sifan Sun, Weisheng Zhao, Wang Kang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., January, 2024

MixMixQ: Quantization with Mixed Bit-Sparsity and Mixed Bit-Width for CIM Accelerators.

Jinyu Bai, He Zhang, Wang Kang

Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

Series-Parallel Hybrid SOT-MRAM Computing-in-Memory Macro with Multi-Method Modulation for High Area and Energy Efficiency.

Weiliang Huang, Jinyu Bai, Wang Kang, Zhaohao Wang, Kaihua Cao, Hongxi Liu, He Zhang, Weisheng Zhao

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

Partial Sum Quantization for Computing-In-Memory-Based Neural Network Accelerator.

Jinyu Bai, Wenlu Xue, Yunqian Fan, Sifan Sun, Wang Kang

IEEE Trans. Circuits Syst. II Express Briefs, August, 2023

ES-MPQ: Evolutionary Search Enabled Mixed Precision Quantization Framework for Computing-in-Memory.

Sifan Sun, Jinming Ge, Jinyu Bai, Wang Kang

Proceedings of the 12th Non-Volatile Memory Systems and Applications Symposium, 2023

Exploring Bit-Level Sparsity for Partial Sum Quantization in Computing-In-Memory Accelerator.

Jinyu Bai, Sifan Sun, Wang Kang

Proceedings of the 12th Non-Volatile Memory Systems and Applications Symposium, 2023

Hierarchical Non-Structured Pruning for Computing-In-Memory Accelerators with Reduced ADC Resolution Requirement.

Wenlu Xue, Jinyu Bai, Sifan Sun, Wang Kang

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Searching Tiny Neural Networks for Deployment on Embedded FPGA.

Haiyan Qin, Yejun Zeng, Jinyu Bai, Wang Kang

Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

2022

SpinCIM: spin orbit torque memory for ternary neural networks based on the computing-in-memory architecture.

Lichuan Luo, Dijun Liu, He Zhang, Youguang Zhang, Jinyu Bai, Wang Kang

CCF Trans. High Perform. Comput., December, 2022

HD-CIM: Hybrid-Device Computing-In-Memory Structure Based on MRAM and SRAM to Reduce Weight Loading Energy of Neural Networks.

He Zhang, Junzhan Liu, Jinyu Bai, Sai Li, Lichuan Luo, Shaoqian Wei, Jianxin Wu, Wang Kang

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

Searching for Energy-Efficient Hybrid Adder-Convolution Neural Networks.

Wenshuo Li, Xinghao Chen, Jinyu Bai, Xuefei Ning, Yunhe Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

HSC: A Hybrid Spin/CMOS Logic Based In-Memory Engine with Area-Efficient Mapping Strategy.

Yan Huang, Erya Deng, Jinyu Bai, Qing Yang, Wang Kang, Biao Pan

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

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.

He Zhang, Junzhan Liu, Kang Wang, Yunqian Fan, Shufeng Fu, Jinyu Bai, Biao Pan, Yongpan Liu, Weisheng Zhao

Proceedings of the 2021 IEEE International Conference on Integrated Circuits, 2021

SpinLiM: Spin Orbit Torque Memory for Ternary Neural Networks Based on the Logic-in-Memory Architecture.

Lichuan Luo, He Zhang, Jinyu Bai, Youguang Zhang, Wang Kang, Weisheng Zhao

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

Tiny neural network search and implementation for embedded FPGA: a software-hardware co-design approach.

Jinyu Bai, Yunqian Fan, Sifan Sun, Wang Kang, Weisheng Zhao

Proceedings of the IEEE Asian Solid-State Circuits Conference, 2021

2019

SR-WTA: Skyrmion Racing Winner-Takes-All Module for Spiking Neural Computing.

Biao Pan, Kang Wang, Xing Chen, Jinyu Bai, Jianlei Yang, Youguang Zhang, Weisheng Zhao

Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Magnetic Skyrmion-Based Neural Recording System Design for Brain Machine Interface.

Biao Pan, Kang Wang, Xing Chen, Jinyu Bai, Jianlei Yang, Sai Li, Youguang Zhang, Weisheng Zhao

Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

2018

Emerging Neuromorphic Computing Paradigms Exploring Magnetic Skyrmions.

Sai Li, Wang Kang, Xing Chen, Jinyu Bai, Biao Pan, Youguang Zhang, Weisheng Zhao

Proceedings of the 2018 IEEE Computer Society Annual Symposium on VLSI, 2018