Peng Qian

Artificial Intelligence · with Liu · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Information Systems — 32 citations into it
• Signal Processing — 18 citations into it
• Graph Learning — 13 citations into it

Whom Peng Qian trusts overall

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

1. Thomas Kipf
2. Bo Jiang
3. Loi Luu
4. Max Welling
5. Sergei Tikhomirov
6. Michaël Defferrard
7. Ilya Grishchenko
8. Josselin Feist

Papers from Peng Qian's perspective

Ordered by how strongly the researchers Peng Qian 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Learning Multiple Layers of Features from Tiny Images
8. Making Smart Contracts Smarter (IACR Cryptology ePrint Archive)
9. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Combining Graph Neural Networks With Expert Knowledge for Smart Contract Vulnerability Detection (2021) — 329 citations
• Smart Contract Vulnerability Detection using Graph Neural Network (2020) — 440 citations