Ju Xu

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 4 papers; trusts 233 researchers and is trusted by 130 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 93 citations into it; #2,112 of 35,345 by trust here, #6,911 by citations
• Computer Vision and Pattern Recognition — 73 citations into it; #2,869 of 21,575 by trust here, #5,013 by citations
• Optimization & Training — 36 citations into it
• Model Architectures — 28 citations into it
• Neural Architecture Search & AutoML — 18 citations into it
• Representation & Self-Supervised Learning — 18 citations into it
• Reinforcement Learning — 11 citations into it; #227 of 2,242 by trust here, #700 by citations
• Meta & Continual Learning — 7 citations into it; #29 of 1,041 by trust here, #181 by citations

Whom Ju Xu trusts overall

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

1. Alex Krizhevsky
2. Barret Zoph
3. Ronald J. Williams
4. Yoshua Bengio
5. Yann LeCun
6. Geoffrey E. Hinton
7. Quoc V. Le
8. Richard S. Sutton
9. Kaiming He
10. Karen Simonyan

Who trusts Ju Xu overall

1. Arslan Chaudhry
2. Jaehong Yoon
3. Da-Wei Zhou
4. Gyuhak Kim
5. Rahaf Aljundi
6. Fan Zhou
7. Pravendra Singh
8. Yaoyao Liu
9. Quang Pham
10. Vinay Kumar Verma

Papers from Ju Xu's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Reinforced Continual Learning (2018) — 433 citations
• Efficient Neural Architecture Search via Proximal Iterations (2019) — 108 citations
• Bayesian Optimized Continual Learning with Attention Mechanism (2019) — 7 citations
• Differentiable Neural Architecture Search via Proximal Iterations (2019) — 14 citations