Sheng Jia

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Reinforcement Learning — 10 citations into it
• Graph Learning — 6 citations into it

Whom Sheng Jia trusts overall

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

1. Richard S. Sutton
2. Geoffrey E. Hinton
3. David E. Rumelhart
4. Thomas Kipf
5. Diederik P. Kingma
6. Yoshua Bengio
7. Max Welling
8. Kyunghyun Cho
9. Ronald J. Williams
10. Ashish Vaswani

Who trusts Sheng Jia overall

1. Shunyu Yao
2. Christopher Rawles
3. Alexandra Maria Hotti
4. Peter Conway Humphreys
5. Howard Chen
6. Izzeddin Gur
7. Alice Li
8. Riccardo Sven Risuleo

Papers from Sheng Jia's perspective

Ordered by how strongly the researchers Sheng Jia 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• DOM-Q-NET: Grounded RL on Structured Language (2019) — 41 citations