Wang Kang

Wang Kang

Beihang University

H-index: 38

Asia-China

About Wang Kang

Wang Kang, With an exceptional h-index of 38 and a recent h-index of 32 (since 2020), a distinguished researcher at Beihang University, specializes in the field of Spintronics, Nonvolatile Memory and Logic Circuits, Non-Von Neumann Computing Architectures.

His recent articles reflect a diverse array of research interests and contributions to the field:

Towards Write Optimization for Skyrmion Racetrack Memory by Skyrmion Re-Permutation

An End-to-End In Memory Computing System Based On A 40nm eFlash-Based IMC SoC: Circuits, Toolchains, and Systems Co-Design Framework

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

Design of an Process In-Memory Full Adder Based on Voltage-Controlled Spin Orbit Torque Magnetic Random Access Memory

Experimental demonstration of a skyrmion-enhanced strain-mediated physical reservoir computing system

Experimental Demonstration of STT-MRAM-based Nonvolatile Instantly On/Off System for IoT Applications: Case Studies

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

Experimental demonstration of skyrmionic magnetic tunnel junction and its on-chip learning application

Wang Kang Information

University

Position

___

Citations(all)

5496

Citations(since 2020)

4165

Cited By

2932

hIndex(all)

38

hIndex(since 2020)

32

i10Index(all)

94

i10Index(since 2020)

81

Email

University Profile Page

Beihang University

Google Scholar

View Google Scholar Profile

Wang Kang Skills & Research Interests

Spintronics

Nonvolatile Memory and Logic Circuits

Non-Von Neumann Computing Architectures

Top articles of Wang Kang

Title

Journal

Author(s)

Publication Date

Towards Write Optimization for Skyrmion Racetrack Memory by Skyrmion Re-Permutation

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Tsun-Yu Yang

Xiangjun Peng

Wang Kang

Ming-Chang Yang

2024/1/10

An End-to-End In Memory Computing System Based On A 40nm eFlash-Based IMC SoC: Circuits, Toolchains, and Systems Co-Design Framework

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Tianshuo Bai

Wanru Mao

Guangyao Wang

Hanjie Liu

Aifei Zhang

...

2024/1/4

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

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Sifan Sun

Jinyu Bai

Zhaoyu Shi

Weisheng Zhao

Wang Kang

2024/1/25

Design of an Process In-Memory Full Adder Based on Voltage-Controlled Spin Orbit Torque Magnetic Random Access Memory

电子与信息学报

Xiao LIU

Dijun LIU

Youguang ZHANG

Lichuan LUO

Wang KANG

2023/9/10

Experimental demonstration of a skyrmion-enhanced strain-mediated physical reservoir computing system

Nature Communications

Yiming Sun

Tao Lin

Na Lei

Xing Chen

Wang Kang

...

2023/6/10

Experimental Demonstration of STT-MRAM-based Nonvolatile Instantly On/Off System for IoT Applications: Case Studies

ACM Transactions on Embedded Computing Systems

Yueting Li

Wang Kang

Kunyu Zhou

Keni Qiu

Weisheng Zhao

2023/1/28

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

Sifan Sun

Jinming Ge

Jinyu Bai

Wang Kang

2023/8/30

Experimental demonstration of skyrmionic magnetic tunnel junction and its on-chip learning application

Sai Li

Ao Du

Yadong Wang

Xinran Wang

Shuang Liu

...

2023/5/15

Roadmap for unconventional computing with nanotechnology

Nano Futures

Giovanni Finocchio

Jean Anne Currivan Incorvia

Joseph S Friedman

Qu Yang

Anna Giordano

...

2023

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

Jinyu Bai

Sifan Sun

Wang Kang

2023/8/30

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

Wenlu Xue

Jinyu Bai

Sifan Sun

Wang Kang

2023/4/17

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

IEEE Transactions on Circuits and Systems I: Regular Papers

Lichuan Luo

Erya Deng

Dijun Liu

Zhen Wang

Weiliang Huang

...

2023/12/28

An In-Memory-Computing STT-MRAM Macro with Analog ReLU and Pooling Layers for Ultra-High Efficient Neural Network

Linjun Jiang

Sifan Sun

Jinming Ge

He Zhang

Wang Kang

2023/8/30

All-Digital Computing-in-Memory Macro Supporting FP64-Based Fused Multiply-Add Operation

Applied Sciences

Dejian Li

Kefan Mo

Liang Liu

Biao Pan

Weili Li

...

2023/3/23

OPT: Optimal Proposal Transfer for Efficient Yield Optimization for Analog and SRAM Circuits

Yanfang Liu

Guohao Dai

Yuanqing Cheng

Wang Kang

Wei W Xing

2023/10/28

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

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Jinyu Bai

Sifan Sun

Weisheng Zhao

Wang Kang

2023/7/25

Partial sum quantization for computing-in-memory based neural network accelerator

IEEE Transactions on Circuits and Systems II: Express Briefs

Jinyu Bai

Wenlu Xue

Yunqian Fan

Sifan Sun

Wang Kang

2023/2/20

Voltage-Controlled Spin-Orbit-Torque-Based Nonvolatile Flip-Flop Designs for Ultra-Low-Power Applications

Applied Sciences

Xiao Liu

Erya Deng

Lichuan Luo

Linjun Jiang

Youguang Zhang

...

2023/10/15

Searching Tiny Neural Networks for Deployment on Embedded FPGA

Haiyan Qin

Yejun Zeng

Jinyu Bai

Wang Kang

2023/6/11

A reconfigurable spatial architecture for energy-efficient inception neural networks

IEEE Journal on Emerging and Selected Topics in Circuits and Systems

Lichuan Luo

Wang Kang

Junzhan Liu

He Zhang

Youguang Zhang

...

2023/2/9

See List of Professors in Wang Kang University(Beihang University)