Jingzhou Liu

Artificial Intelligence · 2009–2020

A researcher in the Science corpus: 4 papers; trusts 134 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 101 citations into it
• Computer Vision and Pattern Recognition — 84 citations into it; #11,729 of 21,575 by trust here, #10,905 by citations
• Natural Language Processing — 55 citations into it
• Representation & Self-Supervised Learning — 15 citations into it; #1,919 of 3,145 by trust here, #2,178 by citations
• Signal Processing — 6 citations into it; #2,949 of 7,572 by trust here, #3,198 by citations

Whom Jingzhou Liu trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Yoshua Bengio
5. Alex Krizhevsky
6. Ilya Sutskever
7. Ross B. Girshick
8. Yann LeCun
9. Shaoqing Ren
10. Christopher D. Manning

Who trusts Jingzhou Liu overall

1. Linjie Li
2. Ehsan Amid
3. Leland McInnes
4. Dmitry Kobak
5. Yen-Chun Chen

Papers from Jingzhou Liu's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
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. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Violin: A Large-Scale Dataset for Video-and-Language Inference (2020) — 79 citations
• Dependency Parsing (2009) — 624 citations
• Stack-Pointer Networks for Dependency Parsing (2018) — 172 citations
• Visualizing Large-scale and High-dimensional Data (2016) — 426 citations