Jingyan Zhou

Artificial Intelligence · 2022

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 75 citations into it
• Natural Language Processing — 61 citations into it
• Safety, Robustness & Interpretability — 55 citations into it

Whom Jingyan Zhou trusts overall

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

1. Emily Dinan
2. Maarten Sap
3. Timo Schick
4. Geoffrey E. Hinton
5. Thomas Davidson
6. Yoshua Bengio
7. Diederik P. Kingma
8. Alec Radford
9. Ilya Sutskever
10. Jason Aaron Edward Weston

Papers from Jingyan Zhou's perspective

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

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

Their papers

• COLD: A Benchmark for Chinese Offensive Language Detection (2022) — 170 citations
• Towards Identifying Social Bias in Dialog Systems: Framework, Dataset, and Benchmark (2022) — 55 citations