Simeng Han

Artificial Intelligence · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 87 citations into it
• Natural Language Processing — 75 citations into it
• Evaluation & Benchmarks — 58 citations into it

Whom Simeng Han trusts overall

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

1. Chin-Yew Lin
2. Diederik P. Kingma
3. Ronald J. Williams
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Jimmy Ba
7. Ilya Sutskever
8. Christian Szegedy
9. Peter J. Liu
10. Alex Krizhevsky

Papers from Simeng Han's perspective

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

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

Their papers

• Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation (2022) — 179 citations
• Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation (2020) — 104 citations