Quanlu Zhang

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 64 citations into it
• Computer Vision and Pattern Recognition — 53 citations into it
• Efficiency & Compression — 27 citations into it
• Model Architectures — 16 citations into it
• Optimization & Training — 16 citations into it

Whom Quanlu Zhang trusts overall

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

1. Geoffrey E. Hinton
2. Barret Zoph
3. Alex Krizhevsky
4. Quoc V. Le
5. Kaiming He
6. Yoshua Bengio
7. Ilya Loshchilov
8. Karen Simonyan
9. Diederik P. Kingma
10. Ilya Sutskever

Papers from Quanlu Zhang's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet: A large-scale hierarchical image database
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Distilling the Knowledge in a Neural Network (arXiv.org)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression (2020) — 81 citations
• Deeper Insights into Weight Sharing in Neural Architecture Search (2020) — 55 citations
• Gandiva: Introspective Cluster Scheduling for Deep Learning (2018) — 605 citations