Jingxi Xu

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it
• Artificial Intelligence — 7 citations into it
• Reinforcement Learning — 7 citations into it
• Robotics & Control — 5 citations into it

Whom Jingxi Xu trusts overall

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

1. Steven M. LaValle
2. Sepp Hochreiter
3. Michael Everett
4. Tuomas Haarnoja
5. Pieter Abbeel
6. J. Urgen Schmidhuber
7. Berk Çalli
8. Bowen Baker

Papers from Jingxi Xu's perspective

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

1. Long Short-Term Memory
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Reinforcement Learning: An Introduction
8. Learning Multiple Layers of Features from Tiny Images
9. Human-level control through deep reinforcement learning
10. ImageNet: A large-scale hierarchical image database

Their papers

• Learning a Decentralized Multi-arm Motion Planner (2020) — 68 citations