Xiang-wu Meng

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it

Whom Xiang-wu Meng trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio

Papers from Xiang-wu Meng's perspective

Ordered by how strongly the researchers Xiang-wu Meng 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. A Fast Learning Algorithm for Deep Belief Nets
4. This PDF file includes: Materials and Methods
5. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Long Short-Term Memory
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Tag-Aware Personalized Recommendation Using a Hybrid Deep Model (2017) — 54 citations
• Tag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling (2016) — 85 citations