Lixin Su

Artificial Intelligence · with Cheng · 2019

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Natural Language Processing — 22 citations into it

Whom Lixin Su trusts overall

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

1. Ilya Sutskever
2. Oriol Vinyals
3. Matthew D. Zeiler
4. Geoffrey E. Hinton

Papers from Lixin Su's perspective

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

1. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. GloVe: Global Vectors for Word Representation
9. ImageNet: A large-scale hierarchical image database
10. Gradient-based learning applied to document recognition

Their papers

• HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering (2019) — 38 citations