Hailun Lin

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Hailun Lin trusts overall

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

1. Antoine Bordes
2. Vladimir Naumovich Vapni

Papers from Hailun Lin's perspective

Ordered by how strongly the researchers Hailun Lin 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. Freebase: a collaboratively created graph database for structuring human knowledge
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. The Nature of Statistical Learning Theory
8. Long Short-Term Memory
9. Translating Embeddings for Modeling Multi-relational Data
10. Learning Structured Embeddings of Knowledge Bases

Their papers

• Locally Adaptive Translation for Knowledge Graph Embedding (2015) — 94 citations