Yu-Shiang Wong

Artificial Intelligence · with Liang · 2018

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it; #29,142 of 35,345 by trust here, #31,361 by citations
• Natural Language Processing — 19 citations into it; #4,739 of 5,688 by trust here, #5,296 by citations

Whom Yu-Shiang Wong trusts overall

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

1. Chih-Jen Lin
2. Subhro Roy
3. Yoav Artzi
4. Luke S. Zettlemoyer
5. Peter Clark
6. Nate Kushman
7. Christopher D. Manning
8. Dan Roth
9. Oren Etzioni
10. Yan Wang

Who trusts Yu-Shiang Wong overall

1. Yanyan Zou
2. Zhanming Jie
3. Wei Dang Lu

Papers from Yu-Shiang Wong's perspective

Ordered by how strongly the researchers Yu-Shiang Wong 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet classification with deep convolutional neural networks
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. Gradient-based learning applied to document recognition
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• A Meaning-Based Statistical English Math Word Problem Solver (2018) — 26 citations