Qiong Wang

Artificial Intelligence · with Chen · 2021

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it; #27,220 of 35,345 by trust here, #30,347 by citations
• Computer Vision and Pattern Recognition — 25 citations into it; #16,692 of 21,575 by trust here, #19,310 by citations
• Representation & Self-Supervised Learning — 13 citations into it
• Reinforcement Learning — 5 citations into it

Whom Qiong Wang trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yann LeCun
4. Yoshua Bengio
5. Marc'Aurelio Ranzato
6. Arslan Chaudhry
7. Kaiming He
8. Diederik P. Kingma
9. Ilya Sutskever
10. L. Eon Bottou

Who trusts Qiong Wang overall

1. Liyuan Wang

Papers from Qiong Wang's perspective

Ordered by how strongly the researchers Qiong Wang 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. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Learning Multiple Layers of Features from Tiny Images
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning (2021) — 110 citations