activity
20182022
most citedConvolution with even-sized kernels and symmetric padding

40 citations · 41 across the 3 of their papers we have counts for

collaborators

11 papers

cs.AI20221 cited

Dance of SNN and ANN: Solving binding problem by combining spike timing and reconstructive attention

Hao Zheng, Hui Lin, Rong Zhao +1

The binding problem is one of the fundamental challenges that prevent the artificial neural network (ANNs) from a compositional understanding of the world like human perception, be…

cs.CV2019

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…

cs.CV2019

DashNet: A Hybrid Artificial and Spiking Neural Network for High-speed Object Tracking

Zheyu Yang, Yujie Wu, Guanrui Wang +5

Computer-science-oriented artificial neural networks (ANNs) have achieved tremendous success in a variety of scenarios via powerful feature extraction and high-precision data opera…

cs.ET2019

Stochastic Sparse Learning with Momentum Adaptation for Imprecise Memristor Networks

Yaoyuan Wang, Shuang Wu, Ziyang Zhang +2

Memristor based neural networks have great potentials in on-chip neuromorphic computing systems due to the fast computation and low-energy consumption. However, the imprecise prope…

cs.CV201940 cited

Convolution with even-sized kernels and symmetric padding

Shuang Wu, Guanrui Wang, Pei Tang +2

Compact convolutional neural networks gain efficiency mainly through depthwise convolutions, expanded channels and complex topologies, which contrarily aggravate the training proce…

physics.app-ph2018

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…