Yiyi Tao

Information Systems · 2019

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 27 citations into it
• Artificial Intelligence — 21 citations into it
• Management Science and Operations Research — 11 citations into it
• Recommender Systems — 11 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it

Whom Yiyi Tao trusts overall

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

1. Steffen Rendle
2. Mark Newman
3. Yehuda Koren
4. Nava Tintarev
5. Behnoush Abdollahi
6. Ke Zhou
7. Yongfeng Zhang
8. J. Breese
9. Badrul Munir Sarwar
10. Filip Radlinski

Papers from Yiyi Tao's perspective

Ordered by how strongly the researchers Yiyi Tao 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Item-based collaborative filtering recommendation algorithms
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• The FacT: Taming Latent Factor Models for Explainability with Factorization Trees (2019) — 88 citations