Jinglu Wang

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Graph Learning — 17 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Jinglu Wang trusts overall

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

1. Thomas Kipf
2. Diederik P. Kingma
3. Max Welling
4. William L. Hamilton
5. Geoffrey E. Hinton
6. Jimmy Ba
7. Yann LeCun
8. Yoshua Bengio
9. Michaël Defferrard
10. Mikael Henaff

Who trusts Jinglu Wang overall

1. Shikhar Vashishth

Papers from Jinglu Wang's perspective

Ordered by how strongly the researchers Jinglu Wang 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. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion (2018) — 732 citations