Jie Xu

Artificial Intelligence · with Agrawal · 2021

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Reinforcement Learning — 14 citations into it
• Control and Systems Engineering — 13 citations into it
• Biomedical Engineering — 9 citations into it
• Robotics & Control — 9 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Optimization & Training — 5 citations into it

Whom Jie Xu trusts overall

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

1. Vikash Kumar
2. Sergey Levine
3. E. Todorov
4. Abhishek Gupta
5. Daniela Rus
6. Stéphane Ross
7. Pieter Abbeel
8. Diederik P. Kingma
9. Geoffrey E. Hinton
10. Yunfei Bai

Who trusts Jie Xu overall

1. Omid Taheri
2. Tete Xiao

Papers from Jie Xu's perspective

Ordered by how strongly the researchers Jie Xu 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• A System for General In-Hand Object Re-Orientation (2021) — 317 citations