Quan Zhou
Artificial Intelligence · with Zhang · 2015–2018
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 9 citations into it
Whom Quan Zhou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Quan Zhou overall
Papers from Quan Zhou's perspective
Ordered by how strongly the researchers Quan Zhou trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
- Long Short-Term Memory
- The Elements of Statistical Learning
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Learning atoms for materials discovery (2018) — 195 citations
- Dirac fermions in an antiferromagnetic semimetal (2016) — 258 citations
- Chiral topological superconductor and half-integer conductance plateau from quantum anomalous Hall plateau transition (2015) — 152 citations