Xin Wang

Artificial Intelligence · with Bi · 2014

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Representation & Self-Supervised Learning — 10 citations into it
• Computational Mechanics — 5 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Xin Wang trusts overall

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

1. Theodoros Evgeniou
2. Jieping Ye
3. Rie Kubota Ando
4. Massimiliano Pontil
5. Pinghua Gong
6. Aurelie C. Lozano
7. Guillaume Obozinski
8. Jianhui Chen
9. Peng Zhao
10. Andreas Maurer

Who trusts Xin Wang overall

1. Yu Zhang
2. Qiang Yang

Papers from Xin Wang's perspective

Ordered by how strongly the researchers Xin Wang 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. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• On Multiplicative Multitask Feature Learning (2014) — 52 citations