Binbin Chen

Artificial Intelligence · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it; #21,937 of 35,345 by trust here, #25,040 by citations
• Natural Language Processing — 10 citations into it

Whom Binbin Chen trusts overall

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

1. Bernhard Schölkopf
2. Tomas Mikolov
3. Andrea Esuli
4. Scott A. Golder
5. Aaron M. Newman
6. Bo Pang
7. Alex Smola
8. M. Corces
9. Peter D. Turney
10. Ilya Sutskever

Who trusts Binbin Chen overall

1. Kyle Swanson
2. Li Lucy
3. Sharon Levy
4. Tiziano Piccardi
5. Ninareh Mehrabi

Papers from Binbin Chen's perspective

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

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

Their papers

• Empath: Understanding Topic Signals in Large-Scale Text (2016) — 441 citations
• Profiling tumor infiltrating immune cells with CIBERSORT (2018) — 3,139 citations