Beidou Wang
Artificial Intelligence · 2014–2017
A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 18 citations into it
- Information Systems — 13 citations into it; #6,388 of 8,771 by trust here, #4,341 by citations
- Computer Vision and Pattern Recognition — 8 citations into it
- Recommender Systems — 5 citations into it
Whom Beidou Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Beidou Wang overall
Papers from Beidou Wang's perspective
Ordered by how strongly the researchers Beidou Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
- Generating Sequences With Recurrent Neural Networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Recurrent neural network based language model
- Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Who Also Likes It? Generating the Most Persuasive Social Explanations in Recommender Systems (2014) — 36 citations
- What to Do Next: Modeling User Behaviors by Time-LSTM (2017) — 499 citations