Hongcheng Li

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it; #29,522 of 35,345 by trust here, #14,438 by citations
• Safety, Robustness & Interpretability — 16 citations into it; #1,864 of 2,251 by trust here, #1,265 by citations

Whom Hongcheng Li trusts overall

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

1. Nicolas Papernot
2. Alex Krizhevsky
3. Ian J. Goodfellow
4. Geoffrey E. Hinton
5. Ilya Sutskever
6. Patrick Drew McDaniel
7. Christian Szegedy
8. Yoshua Bengio
9. Tomas Mikolov
10. Yann LeCun

Who trusts Hongcheng Li overall

1. M. V. Koroteev
2. Yonatan Belinkov
3. Suranjana Samanta
4. Di Jin

Papers from Hongcheng Li's perspective

Ordered by how strongly the researchers Hongcheng Li 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. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
10. Intriguing properties of neural networks

Their papers

• Deep Text Classification Can be Fooled (2017) — 452 citations