Jizhong Han

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it
• Natural Language Processing — 32 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Jizhong Han trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Alex Krizhevsky
4. Yoshua Bengio
5. Yann LeCun
6. Ilya Sutskever
7. Oriol Vinyals
8. Jimmy Ba
9. Ruslan Salakhutdinov
10. Richard Socher

Papers from Jizhong Han's perspective

Ordered by how strongly the researchers Jizhong Han 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. 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. 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. Going deeper with convolutions
9. ImageNet: A large-scale hierarchical image database
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Conditional BERT Contextual Augmentation (2018) — 348 citations
• Data Augmentation for Copy-Mechanism in Dialogue State Tracking (2020) — 10 citations