Heqing Huang

Artificial Intelligence · 2018

A researcher in the Science corpus: 3 papers; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 69 citations into it
• Computer Vision and Pattern Recognition — 46 citations into it
• Safety, Robustness & Interpretability — 34 citations into it
• Privacy & Security — 13 citations into it

Whom Heqing Huang trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Karen Simonyan
4. Yoshua Bengio
5. Yann LeCun
6. Matthew D. Zeiler
7. Ilya Sutskever
8. Kaiming He
9. Diederik P. Kingma
10. Florian Tramèr

Papers from Heqing Huang's perspective

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

Their papers

• CommanderSong: A Systematic Approach for Practical Adversarial Voice Recognition (2018) — 399 citations
• Protecting Intellectual Property of Deep Neural Networks with Watermarking (2018) — 682 citations
• YerbaBuena: Securing Deep Learning Inference Data via Enclave-based Ternary Model Partitioning (2018) — 29 citations