Wei Jing

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 214 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Computer Vision and Pattern Recognition — 27 citations into it
• Natural Language Processing — 16 citations into it
• Multimodal Learning — 7 citations into it

Whom Wei Jing trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Kaiming He
4. Jimmy Ba
5. Yoshua Bengio
6. Alex Krizhevsky
7. Ilya Sutskever
8. Yann LeCun
9. Andrew Zisserman
10. Ross B. Girshick

Papers from Wei Jing's perspective

Ordered by how strongly the researchers Wei Jing 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Span-based Localizing Network for Natural Language Video Localization (2020) — 402 citations