Ning Qiao

Electrical and Electronic Engineering · 2015–2017

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 39 citations into it
• Cognitive Neuroscience — 27 citations into it
• Cellular and Molecular Neuroscience — 19 citations into it
• Neuroscience — 5 citations into it

Whom Ning Qiao trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Giacomo Indiveri
2. Chiara Bartolozzi
3. Kwabena A. Boahen
4. Elisabetta Chicca
5. Xiao-Jing Wang
6. Shih-Chii Liu
7. Barbara Olshausen
8. Yann LeCun
9. Romain Brette
10. Joseph M. Brader

Who trusts Ning Qiao overall

1. Charlotte Frenkel
2. Hesham Mostafa

Papers from Ning Qiao's perspective

Ordered by how strongly the researchers Ning Qiao trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. Attention is All you Need (Neural Information Processing Systems)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Going deeper with convolutions
10. Deep Learning

Their papers

• A Scalable Multicore Architecture With Heterogeneous Memory Structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs) (2017) — 573 citations
• A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses (2015) — 662 citations