Jieshan Chen

Artificial Intelligence · 2017

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

Subfields

• Artificial Intelligence — 24 citations into it; #34,251 of 35,345 by trust here, #28,481 by citations
• Natural Language Processing — 9 citations into it
• Model Architectures — 5 citations into it

Whom Jieshan Chen trusts overall

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

1. Erik Cambria
2. Geoffrey E. Hinton
3. Yoon Kim
4. Soujanya Poria
5. Tomas Mikolov
6. Yoshua Bengio

Who trusts Jieshan Chen overall

1. Tom Young

Papers from Jieshan Chen's perspective

Ordered by how strongly the researchers Jieshan Chen 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. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
7. Rectified Linear Units Improve Restricted Boltzmann Machines
8. Gradient-based learning applied to document recognition
9. Efficient Estimation of Word Representations in Vector Space
10. ImageNet: A large-scale hierarchical image database

Their papers

• Ensemble application of convolutional and recurrent neural networks for multi-label text categorization (2017) — 245 citations