Ying Lin

Artificial Intelligence · with Ji · 2020

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it; #21,929 of 35,345 by trust here, #21,316 by citations
• Natural Language Processing — 23 citations into it

Whom Ying Lin trusts overall

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

1. Dan Roth
2. Jacob Devlin
3. Makoto Miwa
4. Greg Durrett
5. David Wadden
6. Jason P. C. Chiu
7. Avirup Sil
8. Arzoo Katiyar
9. Ronan Collobert
10. Yi Luan

Who trusts Ying Lin overall

1. Yaojie Lu
2. Xinya Du
3. Zexuan Zhong
4. Sijia Wang
5. Pengfei Yu
6. Xiaodong Yu
7. Heng Ji
8. Luyang Robby Huang
9. Xiang Chen
10. Claire Cardie

Papers from Ying Lin's perspective

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

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

Their papers

• A Joint Neural Model for Information Extraction with Global Features (2020) — 466 citations
• Connecting the Dots: Event Graph Schema Induction with Path Language Modeling (2020) — 91 citations