Feng Hong

Natural Language Processing · 2021

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 24 citations into it
• Artificial Intelligence — 22 citations into it
• Information Systems — 6 citations into it

Whom Feng Hong trusts overall

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

1. Subhro Roy
2. Yefim Bakman
3. John Cocke
4. Lei Wang
5. Shyam Upadhyay
6. Ming-Wei Chang
7. Jacob Devlin
8. Makoto Miwa
9. Kyunghyun Cho
10. Yoshua Bengio

Papers from Feng Hong's perspective

Ordered by how strongly the researchers Feng Hong 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. ImageNet classification with deep convolutional neural networks
4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Gradient-based learning applied to document recognition

Their papers

• A Bottom-Up DAG Structure Extraction Model for Math Word Problems (2021) — 58 citations