Ruijun Xu
Computer Vision and Pattern Recognition · 2019
A researcher in the Science corpus: 5 papers; trusts 484 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 145 citations into it; #7,489 of 21,575 by trust here, #7,421 by citations
- Artificial Intelligence — 121 citations into it; #26,229 of 35,345 by trust here, #15,236 by citations
- Model Architectures — 46 citations into it
- Neural Architecture Search & AutoML — 39 citations into it; #98 of 283 by trust here, #91 by citations
- Efficiency & Compression — 31 citations into it
- Optimization & Training — 28 citations into it
- Media Technology — 23 citations into it
- Evaluation & Benchmarks — 22 citations into it
Whom Ruijun Xu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Barret Zoph
- Quoc V. Le
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- Christian Szegedy
- Mingxing Tan
- Ilya Sutskever
- Yoshua Bengio
- Richard S. Sutton
Who trusts Ruijun Xu overall
Papers from Ruijun Xu's perspective
Ordered by how strongly the researchers Ruijun Xu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search (2019) — 370 citations
- Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search (2019) — 287 citations
- Multi-Objective Reinforced Evolution in Mobile Neural Architecture Search (2019) — 118 citations
- ScarletNAS: Bridging the Gap Between Scalability and Fairness in Neural Architecture Search (2019) — 27 citations
- SCARLET-NAS: Bridging the Gap between Stability and Scalability in Weight-sharing Neural Architecture Search (2019) — 27 citations