Qi Wang

Artificial Intelligence · with Gunter · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 82 citations into it; #16,590 of 35,345 by trust here, #12,761 by citations
• Safety, Robustness & Interpretability — 41 citations into it; #1,093 of 2,251 by trust here, #1,119 by citations
• Signal Processing — 40 citations into it
• Computer Vision and Pattern Recognition — 25 citations into it
• Representation & Self-Supervised Learning — 10 citations into it
• Natural Language Processing — 9 citations into it
• Evaluation & Benchmarks — 7 citations into it

Whom Qi Wang trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yann LeCun
4. Diederik P. Kingma
5. Kaiming He
6. Yoshua Bengio
7. Sepp Hochreiter
8. Ilya Sutskever
9. Quoc V. Le
10. Tomas Mikolov

Who trusts Qi Wang overall

1. Bargav Jayaraman
2. Liwei Song
3. Ahmed Salem
4. David E. Evans
5. Eugene Bagdasarian
6. Tribhuvanesh Orekondy
7. Reza Shokri
8. Lixu Wang

Papers from Qi Wang's perspective

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

Their papers

• Property Inference Attacks on Fully Connected Neural Networks using Permutation Invariant Representations (2018) — 598 citations
• You Are What You Do: Hunting Stealthy Malware via Data Provenance Analysis (2020) — 312 citations
• Detecting AI Trojans Using Meta Neural Analysis (2019) — 395 citations