Jidong Tian

Artificial Intelligence · 2021

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 — 20 citations into it

Whom Jidong Tian trusts overall

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

1. Diederik P. Kingma
2. Judea Pearl
3. Wenhu Chen
4. Max Welling
5. Alec Radford
6. Geoffrey E. Hinton
7. Rémi Lebret
8. Unnat Jain
9. Yoshua Bengio
10. Ilya Sutskever

Papers from Jidong Tian's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Language Models are Unsupervised Multitask Learners
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• De-Confounded Variational Encoder-Decoder for Logical Table-to-Text Generation (2021) — 28 citations