Wei Guo

Artificial Intelligence · with Li · 2002–2020

A researcher in the Science corpus: 3 papers; trusts 53 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it; #24,063 of 35,345 by trust here, #22,463 by citations
• Natural Language Processing — 20 citations into it; #4,025 of 5,688 by trust here, #4,250 by citations
• Safety, Robustness & Interpretability — 18 citations into it
• Large Language Models — 10 citations into it
• Representation & Self-Supervised Learning — 10 citations into it
• Sociology and Political Science — 7 citations into it

Whom Wei Guo trusts overall

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

1. A. Greenwald
2. Sepp Hochreiter
3. Alec Radford
4. Geoffrey E. Hinton
5. Tomas Mikolov
6. Jeffrey Pennington
7. Yoshua Bengio
8. J. Urgen Schmidhuber
9. Jacob Devlin
10. Richard Socher

Who trusts Wei Guo overall

1. Percy Liang
2. Chiyu Wu
3. Ryan Steed
4. Yang Trista Cao
5. Angelina Wang
6. Saghar Hosseini
7. Myra Cheng
8. Louis-philippe Morency

Papers from Wei Guo's perspective

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

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

Their papers

• Detecting Emergent Intersectional Biases: Contextualized Word Embeddings Contain a Distribution of Human-like Biases (2020) — 290 citations
• A Draft Sequence of the Rice Genome (Oryza sativa L. ssp. indica) (2002) — 3,681 citations
• Osmotic Power Generation with Positively and Negatively Charged 2D Nanofluidic Membrane Pairs (2017) — 384 citations