Qingyang Zhong

Artificial Intelligence · 2021

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

Subfields

• Artificial Intelligence — 13 citations into it

Whom Qingyang Zhong trusts overall

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

1. Alec Radford
2. Tomas Mikolov
3. Ilya Sutskever

Papers from Qingyang Zhong's perspective

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

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

Their papers

• Controllable Generation from Pre-trained Language Models via Inverse Prompting (2021) — 66 citations