Yunning Li

Nature Electronics · 2017–2020

A researcher in the Science corpus: 8 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Yunning Li trusts overall

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

1. Yann LeCun

Papers from Yunning Li's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Gradient-based learning applied to document recognition
3. Long Short-Term Memory
4. ImageNet classification with deep convolutional neural networks
5. Mastering the game of Go with deep neural networks and tree search
6. Deep Sparse Rectifier Neural Networks
7. The mnist database of handwritten digits
8. Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
9. Learning Multiple Layers of Features from Tiny Images
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Analogue signal and image processing with large memristor crossbars (2017) — 1,118 citations
• A novel true random number generator based on a stochastic diffusive memristor (2017) — 390 citations
• Memristor‐Based Analog Computation and Neural Network Classification with a Dot Product Engine (2018) — 676 citations
• Fully memristive neural networks for pattern classification with unsupervised learning (2018) — 993 citations
• Three-dimensional memristor circuits as complex neural networks (2020) — 313 citations
• Reinforcement learning with analogue memristor arrays (2019) — 334 citations
• Efficient and self-adaptive in-situ learning in multilayer memristor neural networks (2018) — 828 citations
• Long short-term memory networks in memristor crossbar arrays (2018) — 368 citations