Xiao Wang

Artificial Intelligence · with Lyu · 2022

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Representation & Self-Supervised Learning — 18 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it

Whom Xiao Wang trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Ilya Sutskever
4. Tomas Mikolov
5. Yoshua Bengio
6. Miltiadis Allamanis
7. L. V. D. van der Maaten
8. Quoc V. Le
9. Alex Krizhevsky
10. Yann LeCun

Papers from Xiao Wang's perspective

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

1. ImageNet classification with deep convolutional neural networks
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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• HELoC: Hierarchical Contrastive Learning of Source Code Representation (2022) — 27 citations