Lingzhen Chen

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Natural Language Processing — 7 citations into it

Whom Lingzhen Chen trusts overall

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

1. Diederik P. Kingma
2. Jason P. C. Chiu
3. John D. Lafferty
4. Radu Florian
5. Jimmy Ba
6. Eric Nichols
7. Andrew McCallum
8. Geoffrey E. Hinton
9. Abraham Ittycheriah
10. Yoshua Bengio

Who trusts Lingzhen Chen overall

1. Yuntao Du
2. Jindong Wang

Papers from Lingzhen Chen's perspective

Ordered by how strongly the researchers Lingzhen 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. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Transfer Learning for Sequence Labeling Using Source Model and Target Data (2019) — 34 citations