Bin Cao

Artificial Intelligence · with Yang · 2008–2016

A researcher in the Science corpus: 4 papers; trusts 27 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it; #14,841 of 35,345 by trust here, #8,525 by citations
• Information Systems — 21 citations into it; #1,286 of 8,771 by trust here, #607 by citations
• Natural Language Processing — 15 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Signal Processing — 11 citations into it
• Management Science and Operations Research — 7 citations into it; #5,057 of 11,946 by trust here, #5,092 by citations
• Recommender Systems — 7 citations into it; #116 of 233 by trust here, #65 by citations
• Probabilistic & Bayesian Methods — 6 citations into it

Whom Bin Cao trusts overall

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

1. Nati Srebro
2. Ruslan Salakhutdinov
3. Ajit Paul Singh
4. Geoffrey E. Hinton
5. Jason D. M. Rennie
6. Dennis DeCoste
7. Andriy Mnih
8. Andrew L. Rukhin
9. Yoshua Bengio
10. Diederik P. Kingma

Who trusts Bin Cao overall

1. Yu Zheng
2. Weike Pan
3. Harald Steck
4. Ruining He
5. Sotirios P. Chatzis
6. Qiang Yang
7. Yu Zhang
8. Yue Shi
9. Steffen Rendle
10. Julian McAuley

Papers from Bin Cao's perspective

Ordered by how strongly the researchers Bin Cao 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• One-Class Collaborative Filtering (2008) — 1,084 citations
• Intent detection using semantically enriched word embeddings (2016) — 104 citations
• Multi-Domain Collaborative Filtering (2010) — 179 citations
• Collaborative Filtering Meets Mobile Recommendation: A User-Centered Approach (2010) — 383 citations