Cheng Chen

Artificial Intelligence · with Lukasiewicz · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it

Whom Cheng Chen trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Tomas Mikolov
4. Ruslan Salakhutdinov
5. Ilya Sutskever
6. Po-Sen Huang
7. Mark J van Rossum
8. Ellen M. Voorhees
9. Xiaodong He
10. Ali Mamdouh Elkahky

Papers from Cheng Chen's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Tag-Aware Personalized Recommendation Using a Hybrid Deep Model (2017) — 54 citations
• Tag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling (2016) — 85 citations