Evan Wei Xiang

Artificial Intelligence · 2008–2012

A researcher in the Science corpus: 4 papers; trusts 24 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #22,254 of 35,345 by trust here, #14,438 by citations
• Representation & Self-Supervised Learning — 10 citations into it
• Information Systems — 7 citations into it; #4,796 of 8,771 by trust here, #2,471 by citations
• Molecular Biology — 7 citations into it; #8,192 of 17,773 by trust here, #15,850 by citations
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Evan Wei Xiang trusts overall

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

1. Ajit Paul Singh
2. Bin Li
3. Qiang Yang
4. Sinno Jialin Pan
5. Yehuda Koren
6. Geoffrey J. Gordon
7. Steffen Rendle
8. Tom Fawcett
9. Ruslan Salakhutdinov
10. Weike Pan

Who trusts Evan Wei Xiang overall

1. Qiang Yang
2. Weike Pan
3. Qian Xu
4. Meghana Kshirsagar
5. Iván Cantador
6. Yue Shi
7. Feng Zhu
8. Yang Gu
9. Bo Liu
10. Bin Guo

Papers from Evan Wei Xiang's perspective

Ordered by how strongly the researchers Evan Wei Xiang 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. Attention is All you Need (Neural Information Processing Systems)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
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. Going deeper with convolutions

Their papers

• Protein-protein interaction prediction via Collective Matrix Factorization (2010) — 32 citations
• Transfer Learning in Collaborative Filtering with Uncertain Ratings (2012) — 84 citations
• Transfer Learning in Collaborative Filtering for Sparsity Reduction (2010) — 409 citations
• Transferring Localization Models over Time (2008) — 104 citations