Weitong Ruan

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Natural Language Processing — 15 citations into it

Whom Weitong Ruan trusts overall

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

1. Diederik P. Kingma
2. Takeru Miyato
3. Ian J. Goodfellow
4. David Yarowsky
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Christian Szegedy
8. Alex Krizhevsky
9. Ilya Sutskever
10. John D. Lafferty

Who trusts Weitong Ruan overall

1. Rongzhi Zhang
2. Jiaao Chen

Papers from Weitong Ruan's perspective

Ordered by how strongly the researchers Weitong Ruan trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Long Short-Term Memory
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• SeqVAT: Virtual Adversarial Training for Semi-Supervised Sequence Labeling (2020) — 63 citations