Li Zhou

Artificial Intelligence · with Li · 2010–2019

A researcher in the Science corpus: 4 papers; trusts 86 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 50 citations into it; #24,248 of 35,345 by trust here, #23,077 by citations
• Natural Language Processing — 34 citations into it; #4,064 of 5,688 by trust here, #4,361 by citations
• Reinforcement Learning — 15 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Computer Networks and Communications — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Li Zhou trusts overall

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

1. Diederik P. Kingma
2. Yoshua Bengio
3. Ronald J. Williams
4. Geoffrey E. Hinton
5. Dzmitry Bahdanau
6. Andrew Y. Ng
7. Ilya Sutskever
8. Alex Krizhevsky
9. Richard S. Sutton
10. Jason Williams

Who trusts Li Zhou overall

1. Giovanni Campagna
2. Zhaojiang Lin
3. Sergey Levine
4. Han Guo
5. Chia-Hsuan Lee
6. Agata Foryciarz
7. Xiangru Lian
8. Aviral Kumar
9. Bonan Min
10. Bing Liu

Papers from Li Zhou's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. ImageNet: A large-scale hierarchical image database
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

• End-to-End Offline Goal-Oriented Dialog Policy Learning via Policy Gradient (2017) — 43 citations
• Multi-domain Dialogue State Tracking as Dynamic Knowledge Graph Enhanced Question Answering (2019) — 92 citations
• Parameter Server for Distributed Machine Learning (2013)
• Transparent and flexible thin films of ZnO-polystyrene nanocomposite for UV-shielding applications (2010) — 167 citations