Yaqin Zhou

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Graph Learning — 6 citations into it

Whom Yaqin Zhou trusts overall

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

1. Jasper Snoek
2. Miltiadis Allamanis
3. Hanjun Dai
4. Yujia Li
5. Geoffrey E. Hinton
6. Muhan Zhang
7. Fabian Yamaguchi
8. Yoshua Bengio
9. Marc Brockschmidt
10. Hugo Larochelle

Who trusts Yaqin Zhou overall

1. Yi Li
2. Michael Fu
3. Yichen Xu
4. Saikat Chakraborty
5. Guru Prasad Bhandari
6. Yue Wang
7. Shaohua Wang
8. Yanqiao Zhu
9. Chakkrit Kla Tantithamthavorn
10. Tien Nhut Nguyen

Papers from Yaqin Zhou's perspective

Ordered by how strongly the researchers Yaqin Zhou 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. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks (2019) — 1,186 citations