1.2k citations · 2.1k across the 18 of their papers we have counts for
18 papers
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…
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…
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…
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…
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…
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…
Target Control of Directed Networks based on Network Flow Problems
Guoqi Li, Xumin Chen, Pei Tang +3
Target control of directed networks, which aims to control only a target subset instead of the entire set of nodes in large natural and technological networks, is an outstanding ch…
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…
Direct Training for Spiking Neural Networks: Faster, Larger, Better
Yujie Wu, Lei Deng, Guoqi Li +2
Spiking neural networks (SNNs) that enables energy efficient implementation on emerging neuromorphic hardware are gaining more attention. Yet now, SNNs have not shown competitive p…
Robust event-stream pattern tracking based on correlative filter
Hongmin Li, Luping Shi
Object tracking based on retina-inspired and event-based dynamic vision sensor (DVS) is challenging for the noise events, rapid change of event-stream shape, chaos of complex backg…
Super-resolution of spatiotemporal event-stream image captured by the asynchronous temporal contrast vision sensor
Hongmin Li, Guoqi Li, Hanchao Liu +1
Super-resolution (SR) is a useful technology to generate a high-resolution (HR) visual output from the low-resolution (LR) visual inputs overcoming the physical limitations of the…
L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks
Shuang Wu, Guoqi Li, Lei Deng +3
Batch Normalization (BN) has been proven to be quite effective at accelerating and improving the training of deep neural networks (DNNs). However, BN brings additional computation,…
Training and Inference with Integers in Deep Neural Networks
Shuang Wu, Guoqi Li, Feng Chen +1
Researches on deep neural networks with discrete parameters and their deployment in embedded systems have been active and promising topics. Although previous works have successfull…
Native point defects of semiconducting layered Bi2O2Se
Huanglong Li, Xintong Xu, Yi Zhang +3
Bi2O2Se is an emerging semiconducting, air-stable layered material (Nat. Nanotechnol. 2017, 12, 530; Nano Lett. 2017, 17, 3021), potentially exceeding MoS2 and phosphorene in elect…
Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks
Yujie Wu, Lei Deng, Guoqi Li +2
Compared with artificial neural networks (ANNs), spiking neural networks (SNNs) are promising to explore the brain-like behaviors since the spikes could encode more spatio-temporal…
Single neutral substitutional 3d-transition metal in GeTe and GeSb2Te4 by the screened exchange functional
Huanglong Li, Luping Shi
Fe doped GST has shown experimentally the ability to alter its magnetic properties by phase change. In this work, we use screened exchange hybrid functional to study the single neu…
The role of single oxygen or metal induced defect and correlated multiple defects in the formation of conducting filaments
Ziyang Zhang, Huanglong Li, Luping Shi
We study the dependence of the formation energies of oxygen and metal induced defects in Ta2O5, TaO2, TaO, TiO2 and Ti4O7 on the chemical potential of electron and atomic constitut…
The electronic structures of TiO2/Ti4O7, Ta2O5/TaO2 interfaces and the interfacial effects of dopants
Huanglong Li, Ziyang Zhang, Luping Shi
We study the electronic structures of TiO2/Ti4O7 and Ta2O5/TaO2 interfaces using the screened exchange (sX-LDA) functional. Both of these bilayer structures are useful infrastructu…