Pai-Yu Chen
Electrical and Electronic Engineering · 2016–2018
A researcher in the Science corpus: 5 papers; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 48 citations into it; #8,550 of 16,539 by trust here, #5,309 by citations
- Cellular and Molecular Neuroscience — 16 citations into it
- Materials Chemistry — 9 citations into it
Whom Pai-Yu Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Duygu Kuzum
- Shimeng Yu
- H. Philip Wong
- Yann LeCun
- Mirko Prezioso
- L. Eon Bottou
- Yoshua Bengio
- Cong Xu
- Rakesh Gnana David Jeyasingh
- Geoffrey W. Burr
Who trusts Pai-Yu Chen overall
Papers from Pai-Yu Chen's perspective
Ordered by how strongly the researchers Pai-Yu Chen trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- SiGe epitaxial memory for neuromorphic computing with reproducible high performance based on engineered dislocations (2018) — 627 citations
- Ferroelectric FET analog synapse for acceleration of deep neural network training (2017) — 446 citations
- Emerging Memory Technologies: Recent Trends and Prospects (2016) — 449 citations
- NeuroSim: A Circuit-Level Macro Model for Benchmarking Neuro-Inspired Architectures in Online Learning (2018) — 455 citations
- NeuroSim+: An integrated device-to-algorithm framework for benchmarking synaptic devices and array architectures (2017) — 315 citations