Xing Zhou

Artificial Intelligence · with Du · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 97 citations into it
• Natural Language Processing — 58 citations into it
• Computer Vision and Pattern Recognition — 41 citations into it

Whom Xing Zhou trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Diederik P. Kingma
4. Ilya Sutskever
5. Yann LeCun
6. Alex Krizhevsky
7. Ronan Collobert
8. Oriol Vinyals
9. Kaiming He
10. Ruslan Salakhutdinov

Papers from Xing Zhou's perspective

Ordered by how strongly the researchers Xing Zhou 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Distilling the Knowledge in a Neural Network (arXiv.org)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Efficient Large Scale Language Modeling with Mixtures of Experts (2021) — 248 citations
• General Purpose Text Embeddings from Pre-trained Language Models for Scalable Inference (2020) — 10 citations