Tianqing Fang

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it
• Natural Language Processing — 30 citations into it

Whom Tianqing Fang trusts overall

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

1. Marco Tulio Ribeiro

Papers from Tianqing Fang's perspective

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

1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
2. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
3. Language Models are Unsupervised Multitask Learners
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. GloVe: Global Vectors for Word Representation
9. ImageNet classification with deep convolutional neural networks
10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers

• Probing Toxic Content in Large Pre-Trained Language Models (2021) — 148 citations