Chunchuan Lyu

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it; #17,130 of 35,345 by trust here, #19,873 by citations
• Computer Vision and Pattern Recognition — 10 citations into it
• Safety, Robustness & Interpretability — 9 citations into it; #1,128 of 2,251 by trust here, #1,673 by citations

Whom Chunchuan Lyu trusts overall

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

1. Alex Krizhevsky
2. Ian J. Goodfellow
3. Yann LeCun
4. Geoffrey E. Hinton
5. Alhussein Fawzi
6. Yoshua Bengio
7. Christian Szegedy
8. Ilya Sutskever
9. Pierre Sermanet
10. Shixiang Shane Gu

Who trusts Chunchuan Lyu overall

1. Alexander Ororbia
2. Naveed Akhtar
3. Dongxian Wu
4. Carl-Johann Simon-Gabriel
5. Ajmal Saeed Mian
6. C. Lee Giles
7. Shutao Xia
8. Battista Biggio
9. Daniel Kifer
10. Alberto Bietti

Papers from Chunchuan Lyu's perspective

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

Their papers

• A Unified Gradient Regularization Family for Adversarial Examples (2015) — 221 citations