Miao Hu
Electrical and Electronic Engineering · Nature Materials · 2014–2023
A researcher in the Science corpus: 8 papers; trusts 21 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 123 citations into it; #14,340 of 16,539 by trust here, #2,305 by citations
- Cellular and Molecular Neuroscience — 62 citations into it; #2,980 of 2,998 by trust here, #364 by citations
- Computer Vision and Pattern Recognition — 37 citations into it
Whom Miao Hu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yann LeCun
- Dmitri B. Strukov
- Ruslan Salakhutdinov
- Geoffrey E. Hinton
- Alex Krizhevsky
- Kayvon Fatahalian
- Fabien Alibart
- Yoshua Bengio
- Kaiming He
- Ilya Sutskever
Who trusts Miao Hu overall
Papers from Miao Hu's perspective
Ordered by how strongly the researchers Miao Hu trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
Their papers
- ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars (2016) — 1,990 citations
- Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing. (2017) — 2,057 citations
- Dot-product engine for neuromorphic computing: Programming 1T1M crossbar to accelerate matrix-vector multiplication (2016) — 686 citations
- Memristor‐Based Analog Computation and Neural Network Classification with a Dot Product Engine (2018) — 676 citations
- Memristor Crossbar-Based Neuromorphic Computing System: A Case Study (2014) — 350 citations
- Thousands of conductance levels in memristors integrated on CMOS (2023) — 431 citations
- Reinforcement learning with analogue memristor arrays (2019) — 334 citations
- Long short-term memory networks in memristor crossbar arrays (2018) — 368 citations