Yuqiang Guan

Computer Vision and Pattern Recognition · 2001–2007

A researcher in the Science corpus: 4 papers; trusts 37 researchers and is trusted by 79 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 10 citations into it; #5,060 of 21,575 by trust here, #8,409 by citations
• Artificial Intelligence — 7 citations into it; #3,334 of 35,345 by trust here, #6,468 by citations
• Molecular Biology — 5 citations into it; #1,369 of 17,773 by trust here, #7,124 by citations

Whom Yuqiang Guan trusts overall

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

1. Jianbo Shi
2. Mark A. Girolami
3. Inderjit S. Dhillon
4. Stella X. Yu
5. Michael I. Jordan
6. Francis R. Bach
7. Jitendra Malik
8. Andrew Y. Ng
9. Bernhard Schölkopf
10. Hongyuan Zha

Who trusts Yuqiang Guan overall

1. Inderjit S. Dhillon
2. Brian Kulis
3. Jure Leskovec
4. Filippo Maria Bianchi
5. Meng Tang
6. Jaewon Yang
7. Arindam Banerjee
8. Santo Fortunato
9. Krikamol Muandet
10. Maurizio Filippone

Papers from Yuqiang Guan's perspective

Ordered by how strongly the researchers Yuqiang Guan 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. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Kernel k-means: spectral clustering and normalized cuts (2004) — 1,465 citations
• Weighted Graph Cuts without Eigenvectors A Multilevel Approach (2007) — 1,091 citations
• Efficient Clustering of Very Large Document Collections (2001) — 300 citations
• Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data (2004) — 329 citations