Tao Li

Artificial Intelligence · with Baral · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 35 citations into it; #30,542 of 35,345 by trust here, #34,943 by citations
• Information Systems — 24 citations into it; #7,273 of 8,771 by trust here, #8,676 by citations
• Management Science and Operations Research — 13 citations into it
• Recommender Systems — 9 citations into it
• Natural Language Processing — 8 citations into it
• Reinforcement Learning — 5 citations into it

Whom Tao Li trusts overall

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

1. Lihong Li
2. Jon M. Kleinberg
3. Yoon Kim
4. Taher H. Haveliwala
5. Liang Tang

Who trusts Tao Li overall

1. Xu Chen
2. Yongfeng Zhang

Papers from Tao Li's perspective

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

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

Their papers

• Online Context-Aware Recommendation with Time Varying Multi-Armed Bandit (2016) — 154 citations
• ReEL: Review Aware Explanation of Location Recommendation (2018) — 37 citations