Peng Huang

About Peng Huang

Peng Huang, With an exceptional h-index of 29 and a recent h-index of 25 (since 2020), a distinguished researcher at Peking University, specializes in the field of Neuromorphic computing, In-memory computing, Stateful logic, DNN SoC chip.

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

Thin-film transistor for temporal self-adaptive reservoir computing with closed-loop architecture

Memristor-based storage system with convolutional autoencoder-based image compression network

Gate-controlled gain tuning of fully depleted silicon-on-insulator-based 1 T pixel for in-sensor white balance

CoMN: Algorithm-Hardware Co-Design Platform for Non-Volatile Memory Based Convolutional Neural Network Accelerators

Inner Product Accelerating Scheme based on RRAM Array for Attention-mechanism Neural Network

A compact model for the well-depleted 1-T pixel sensor based on silicon-on-insulator technology

A Convolution Neural Network Accelerator Design with Weight Mapping and Pipeline Optimization

FDSOI-based 1T Pixel Sensor with Long-term Data Retention for in-situ Convolution Computing

Peng Huang Information

University

Position

___

Citations(all)

3828

Citations(since 2020)

2617

Cited By

2169

hIndex(all)

29

hIndex(since 2020)

25

i10Index(all)

71

i10Index(since 2020)

57

Email

University Profile Page

Google Scholar

Peng Huang Skills & Research Interests

Neuromorphic computing

In-memory computing

Stateful logic

DNN SoC chip

Top articles of Peng Huang

Thin-film transistor for temporal self-adaptive reservoir computing with closed-loop architecture

Science Advances

2024/2/16

Memristor-based storage system with convolutional autoencoder-based image compression network

Nature Communications

2024/2/7

Gate-controlled gain tuning of fully depleted silicon-on-insulator-based 1 T pixel for in-sensor white balance

Japanese Journal of Applied Physics

2024/2/5

CoMN: Algorithm-Hardware Co-Design Platform for Non-Volatile Memory Based Convolutional Neural Network Accelerators

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

2024/1/24

Inner Product Accelerating Scheme based on RRAM Array for Attention-mechanism Neural Network

IEEE Electron Device Letters

2024/1/10

A compact model for the well-depleted 1-T pixel sensor based on silicon-on-insulator technology

Japanese Journal of Applied Physics

2023/7/26

A Convolution Neural Network Accelerator Design with Weight Mapping and Pipeline Optimization

2023/7/9

FDSOI-based 1T Pixel Sensor with Long-term Data Retention for in-situ Convolution Computing

2023/6/11

Physical mechanisms and Enhancement of Endurance Degradation of SiOx: Ag-based Volatile Memristors

2023/6/11

Artificial Nociceptor Based on Short-Term Memory TFT with Controllable Sensitization Level

2023/6/11

Ferroelectricity of hafnium oxide-based materials: Current status and future prospects from physical mechanisms to device applications

2023/5/1

An ultra-high-density and energy-efficient content addressable memory design based on 3D-NAND flash

Science China Information Sciences

2023/4

Fully-Depleted Silicon-on-Insulator (FDSOI) Based Complementary Phototransistors for In-Sensor Vector-Matrix Multiplication

IEEE Electron Device Letters

2023/2/23

Co-optimization strategy between array operation and weight mapping for flash computing arrays to achieve high computing efficiency and accuracy

Science China Information Sciences

2023/2

Fast and accurate weight updating strategy for resistive random-access memory (RRAM)-based neural networks

IEEE Electron Device Letters

2023/1/25

Flash-based content addressable memory with L2 distance for memory-augmented neural network

Iscience

2023/12/15

A 3.3-Mbit/s true random number generator based on resistive random access memory

Science China Information Sciences

2023/11

Adjustable short-term memory of SiO x: Ag-based memristor for reservoir computing

Nanotechnology

2023/10/9

Spiking convolutional neural network based on flash storage and computing array

2022/12/29

Floating Gate Transistor‐Based Accurate Digital In‐Memory Computing for Deep Neural Networks

Advanced Intelligent Systems

2022/12

See List of Professors in Peng Huang University(Peking University)

Co-Authors

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