Jintao Chen

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Representation & Self-Supervised Learning — 13 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Graph Learning — 12 citations into it

Whom Jintao Chen trusts overall

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

1. David A. McAllester
2. Geoffrey E. Hinton
3. Kaiming He
4. Alex Krizhevsky
5. Yoshua Bengio
6. Diederik P. Kingma
7. Kihyuk Sohn
8. Yann LeCun
9. Max Welling
10. Ilya Sutskever

Papers from Jintao Chen's perspective

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

Their papers

• SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation (2022) — 452 citations