Rui Xu

Artificial Intelligence · with II · 2005–2010

A researcher in the Science corpus: 2 papers; trusts 49 researchers and is trusted by 40 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 62 citations into it; #5,413 of 35,345 by trust here, #8,525 by citations
• Molecular Biology — 40 citations into it
• Computer Vision and Pattern Recognition — 26 citations into it; #4,473 of 21,575 by trust here, #6,089 by citations
• Model Architectures — 17 citations into it
• Statistics and Probability — 17 citations into it
• Representation & Self-Supervised Learning — 16 citations into it
• Signal Processing — 14 citations into it
• Statistical Learning Theory — 13 citations into it

Whom Rui Xu trusts overall

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

1. Mark A. Girolami
2. Erkki Oja
3. Anil K. Jain
4. Jon M. Kleinberg
5. Richard J. Hathaway
6. Stephen F. Altschul
7. Bernhard Schölkopf
8. Roded Sharan
9. Ujjwal Maulik
10. Stephen Grossberg

Who trusts Rui Xu overall

1. Guilherme de Alencar Barreto
2. Iqbal H. Sarker
3. Dongkuan Xu
4. Benoît Frénay
5. Pierre Comon
6. Soumi Ghosh
7. Ziawasch Abedjan
8. Elynn Y. Chen
9. F. Mendoza
10. Luis Gómez-Chova

Papers from Rui Xu's perspective

Ordered by how strongly the researchers Rui 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. 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Survey of clustering algorithms (2005) — 6,558 citations
• Clustering Algorithms in Biomedical Research: A Review (2010) — 334 citations