Junkai Sun

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Transportation — 7 citations into it
• Model Architectures — 6 citations into it
• Building and Construction — 5 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it
• Natural Language Processing — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Junkai Sun trusts overall

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

1. Ilya Sutskever
2. Kaiming He
3. Alex Krizhevsky
4. Diederik P. Kingma
5. Geoffrey E. Hinton
6. Sergey Ioffe
7. Tomas Mikolov
8. X. Zhang
9. Christian Szegedy
10. Yoshua Bengio

Papers from Junkai Sun's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. Gradient-based learning applied to document recognition
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning (2020) — 313 citations