Qing Wu
Electrical and Electronic Engineering · Nature Electronics · 2014–2020
A researcher in the Science corpus: 9 papers; trusts 8 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 125 citations into it
- Cellular and Molecular Neuroscience — 73 citations into it
- Artificial Intelligence — 40 citations into it; #23,125 of 35,345 by trust here, #18,586 by citations
- Computer Vision and Pattern Recognition — 25 citations into it
- Safety, Robustness & Interpretability — 9 citations into it; #1,514 of 2,251 by trust here, #1,589 by citations
- Computer Networks and Communications — 8 citations into it; #6,050 of 9,886 by trust here, #3,993 by citations
Whom Qing Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Yann LeCun
- Individualized Treat
- Christian Szegedy
- Battista Biggio
- Han Xiao
- Blaine Nelson
- Geoffrey E. Hinton
- Yoshua Bengio
- Mehran Mozaffari Kermani
Who trusts Qing Wu overall
Papers from Qing Wu's perspective
Ordered by how strongly the researchers Qing Wu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet classification with deep convolutional neural networks
- GENERATIVE ADVERSARIAL NETS
- Intriguing properties of neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
Their papers
- Generative Poisoning Attack Method Against Neural Networks (2017) — 230 citations
- Analogue signal and image processing with large memristor crossbars (2017) — 1,118 citations
- Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing. (2017) — 2,057 citations
- A novel true random number generator based on a stochastic diffusive memristor (2017) — 390 citations
- Memristor Crossbar-Based Neuromorphic Computing System: A Case Study (2014) — 350 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