Wang Kang

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 10

Top Topics

Successive Approximation

Uniform Quantization

Random Access Memory

Top Venues

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

ACM Trans. Embed. Comput. Syst.

IEEE Trans. Circuits Syst. I Regul. Pap.

Publications

Yueting Li, Xueyan Wang, He Zhang, Biao Pan, Keni Qiu, Wang Kang, Jun Wang, Weisheng Zhao
Toward Energy-efficient STT-MRAM-based Near Memory Computing Architecture for Embedded Systems. ACM Trans. Embed. Comput. Syst. 23 (3) (2024)
Tianshuo Bai, Wanru Mao, Guangyao Wang, Hanjie Liu, Aifei Zhang, Shihang Fu, Shuaikai Liu, Jianchao Hu, Xitong Yang, Biao Pan, Wei W. Xing, Wang Kang
An End-to-End In-Memory Computing System Based on a 40-nm eFlash-Based IMC SoC: Circuits, Toolchains, and Systems Co-Design Framework. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (6) (2024)
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)
Tsun-Yu Yang, Xiangjun Peng, Wang Kang, Ming-Chang Yang
Toward Write Optimization for Skyrmion Racetrack Memory by Skyrmion Repermutation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (6) (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)
Linjun Jiang, Sifan Sun, Jinming Ge, He Zhang, Wang Kang
An In-Memory-Computing STT-MRAM Macro with Analog ReLU and Pooling Layers for Ultra-High Efficient Neural Network. NVMSA (2023)
Sifan Sun, Jinming Ge, Jinyu Bai, Wang Kang
ES-MPQ: Evolutionary Search Enabled Mixed Precision Quantization Framework for Computing-in-Memory. NVMSA (2023)
Jinyu Bai, Sifan Sun, Wang Kang
Exploring Bit-Level Sparsity for Partial Sum Quantization in Computing-In-Memory Accelerator. NVMSA (2023)