Lu Bai

Artificial Intelligence · with Wang · 2015–2018

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Graph Learning — 5 citations into it

Whom Lu Bai trusts overall

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

1. Nino Shervashidze
2. Karsten M. Borgwardt
3. David Haussler
4. Julia Kempe
5. Pascal Schweitzer

Who trusts Lu Bai overall

1. Nils M. Kriege
2. Christopher Morris

Papers from Lu Bai's perspective

Ordered by how strongly the researchers Lu Bai trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
3. Convolution kernels on discrete structures
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Shortest-path kernels on graphs
7. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
8. Learning to Forget: Continual Prediction with LSTM
9. Gradient-based learning applied to document recognition
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Deep Co-Investment Network Learning for Financial Assets (2018) — 6 citations
• An Aligned Subtree Kernel for Weighted Graphs (2015) — 48 citations