Xinchi Chen

Artificial Intelligence · 2015–2022

A researcher in the Science corpus: 6 papers; trusts 123 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 101 citations into it
• Natural Language Processing — 96 citations into it; #5,254 of 5,688 by trust here, #4,250 by citations
• Computer Vision and Pattern Recognition — 33 citations into it
• Model Architectures — 30 citations into it; #2,080 of 2,278 by trust here, #1,976 by citations
• Representation & Self-Supervised Learning — 21 citations into it
• Optimization & Training — 10 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Xinchi Chen trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Richard Socher
4. Ilya Sutskever
5. Ronan Collobert
6. Diederik P. Kingma
7. Alex Krizhevsky
8. Matthew D. Zeiler
9. Alex Graves
10. Yann LeCun

Who trusts Xinchi Chen overall

1. Haejun Lee
2. Honglun Zhang
3. Jihun Choi
4. Michael Crawshaw
5. Drew A. Hudson
6. Liqiang Xiao
7. Kang Min Yoo
8. Pengfei Liu

Papers from Xinchi Chen's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Convolutional Interaction Network for Natural Language Inference (2018) — 14 citations
• Multi-Timescale Long Short-Term Memory Neural Network for Modelling Sentences and Documents (2015) — 177 citations
• Sentence Modeling with Gated Recursive Neural Network (2015) — 32 citations
• Neural Sentence Ordering (2016) — 70 citations
• Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner (2022) — 45 citations
• Exploring Shared Structures and Hierarchies for Multiple NLP Tasks (2018) — 16 citations