Yongjun Chen

Artificial Intelligence · with Li · 2022

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Information Systems — 18 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Management Science and Operations Research — 8 citations into it

Whom Yongjun Chen trusts overall

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

1. Diederik P. Kingma
2. Steffen Rendle
3. Kaiming He
4. Geoffrey E. Hinton
5. Jimmy Ba
6. Alex Krizhevsky
7. Yoshua Bengio
8. Yann LeCun
9. Ilya Sutskever
10. Julian McAuley

Who trusts Yongjun Chen overall

1. Jiacheng Li

Papers from Yongjun Chen's perspective

Ordered by how strongly the researchers Yongjun Chen 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. 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Intent Contrastive Learning for Sequential Recommendation (2022) — 463 citations