activity
20152023
most citedA new opportunity for two-dimensional van der Waals heterostructures: making steep-slope transistors

126 citations · 282 across the 10 of their papers we have counts for

collaborators

10 papers

physics.app-ph2023

A mempolar transistor made from tellurium

Yifei Yang, Lujie Xu, Mingkun Xu +5

The classic three-terminal electronic transistors and the emerging two-terminal ion-based memristors are complementary to each other in various nonconventional information processi…

physics.app-ph2022★ 3 cited

Bio-realistic and versatile artificial dendrites made of anti-ambipolar transistors

Yifei Yang, Mingkun Xu, Jing Pei +4

The understanding of neural networks as neuron-synapse binaries has been the foundation of neuroscience, and therefore, the emerging neuromorphic computing technology that takes in…

cs.NE2021★ 4 cited

Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning

Mingkun Xu, Yujie Wu, Lei Deng +3

Biological spiking neurons with intrinsic dynamics underlie the powerful representation and learning capabilities of the brain for processing multimodal information in complex envi…

cs.NE2020★ 1 cited

Brain-inspired global-local learning incorporated with neuromorphic computing

Yujie Wu, Rong Zhao, Jun Zhu +11

Two main routes of learning methods exist at present including error-driven global learning and neuroscience-oriented local learning. Integrating them into one network may provide…

eess.IV2019★ 2 cited

Transfer Learning in General Lensless Imaging through Scattering Media

Yukuan Yang, Lei Deng, Peng Jiao +4

Recently deep neural networks (DNNs) have been successfully introduced to the field of lensless imaging through scattering media. By solving an inverse problem in computational ima…

cs.CV2019★ 14 cited

Adversarial symmetric GANs: bridging adversarial samples and adversarial networks

Faqiang Liu, Mingkun Xu, Guoqi Li +3

Generative adversarial networks have achieved remarkable performance on various tasks but suffer from training instability. Despite many training strategies proposed to improve tra…

cond-mat.mtrl-sci2019★ 126 cited

A new opportunity for two-dimensional van der Waals heterostructures: making steep-slope transistors

Juan Lv, Jing Pei, Yuzheng Guo +2

The use of a foreign metallic cold source (CS) has recently been proposed as a promising approach toward the steep-slope field-effect-transistor (FET). In addition to the selection…

physics.app-ph2018★ 126 cited

Truly concomitant and independently expressed short- and long-term plasticity in Bi2O2Se-based three-terminal memristor

Ziyang Zhang, Tianran Li, Yujie Wu +10

Orchestration of diverse synaptic plasticity mechanisms across different timescales produces complex cognitive processes. To achieve comparable cognitive complexity in memristive n…

cs.LG2017★ 6 cited

GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework

Lei Deng, Peng Jiao, Jing Pei +2

There is a pressing need to build an architecture that could subsume these networks under a unified framework that achieves both higher performance and less overhead. To this end,…

cs.CV2015

Real-time Tracking Based on Neuromrophic Vision

Hongmin Li, Pei Jing, Guoqi Li

Real-time tracking is an important problem in computer vision in which most methods are based on the conventional cameras. Neuromorphic vision is a concept defined by incorporating…