Junya Chen

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 71 citations into it
• Computer Vision and Pattern Recognition — 52 citations into it
• Probabilistic & Bayesian Methods — 35 citations into it

Whom Junya Chen trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Kaiming He
4. Diederik P. Kingma
5. Alex Krizhevsky
6. Ilya Sutskever
7. Radford M. Neal
8. Aapo Hyvärinen
9. Yann LeCun
10. Tomas Mikolov

Papers from Junya Chen's perspective

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

Their papers

• Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE (2021) — 33 citations
• On Fenchel Mini-Max Learning (2019) — 16 citations