Guanhua Zhang

Artificial Intelligence · with Bai · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Natural Language Processing — 10 citations into it

Whom Guanhua Zhang trusts overall

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

1. Donald B. Rubin
2. Bianca Zadrozny
3. Paul R. Rosenbaum
4. Zeerak Talat
5. Lucas Dixon
6. Peter C. Austin
7. Thorsten Joachims
8. Jieyu Zhao
9. Jeffrey Pennington
10. Brian Hu Zhang

Papers from Guanhua Zhang's perspective

Ordered by how strongly the researchers Guanhua Zhang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
5. GloVe: Global Vectors for Word Representation
6. Long Short-Term Memory
7. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Gradient-based learning applied to document recognition
10. ImageNet: A large-scale hierarchical image database

Their papers

• Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting (2020) — 81 citations