Renjun Xu

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 50 citations into it
• Computer Vision and Pattern Recognition — 33 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Renjun Xu trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Mingsheng Long
4. Alex Krizhevsky
5. Yoshua Bengio
6. Yann LeCun
7. Filippo Santambrogio
8. Diederik P. Kingma
9. Ilya Sutskever
10. Ross B. Girshick

Who trusts Renjun Xu overall

1. Serban Stan
2. Guangrui Li
3. Mohammad Rostami

Papers from Renjun Xu's perspective

Ordered by how strongly the researchers Renjun 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation (2020) — 161 citations
• AdaRNN: Adaptive Learning and Forecasting of Time Series (2021) — 371 citations