Guoping Huang

Artificial Intelligence · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it
• Natural Language Processing — 34 citations into it
• Evaluation & Benchmarks — 15 citations into it

Whom Guoping Huang trusts overall

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

1. Geoffrey E. Hinton
2. Philipp Koehn
3. Yoshua Bengio
4. Vladimir Naumovich Vapnik

Papers from Guoping Huang's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
3. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Distilling the Knowledge in a Neural Network (arXiv.org)
7. Long Short-Term Memory
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Gradient-based learning applied to document recognition
10. Bleu: a Method for Automatic Evaluation of Machine Translation

Their papers

• Evaluating Explanation Methods for Neural Machine Translation (2020) — 29 citations
• Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics (2022) — 5 citations