Kaixuan Wang

Information Systems · with Zhang · 2019

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 28 citations into it
• Artificial Intelligence — 17 citations into it
• Natural Language Processing — 14 citations into it
• Model Architectures — 6 citations into it

Whom Kaixuan Wang trusts overall

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

1. Yoshua Bengio
2. Sepp Hochreiter
3. Diederik P. Kingma
4. Tomas Mikolov
5. Ilya Sutskever
6. Geoffrey E. Hinton
7. Miltiadis Allamanis

Papers from Kaixuan Wang's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Recurrent neural network based language model

Their papers

• A Novel Neural Source Code Representation Based on Abstract Syntax Tree (2019) — 715 citations