Rongzhi Zhang

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Natural Language Processing — 17 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Rongzhi Zhang trusts overall

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

1. Sosuke Kobayashi
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Jacob Devlin
5. Ilya Sutskever
6. John D. Lafferty
7. Diederik P. Kingma
8. E. Tjong Kim Sang
9. Alec Radford
10. Jason Wei

Who trusts Rongzhi Zhang overall

1. Steven Y. Feng
2. Varun Prashant Gangal

Papers from Rongzhi Zhang's perspective

Ordered by how strongly the researchers Rongzhi Zhang 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup (2020) — 104 citations