Chen Chen

Artificial Intelligence · with Chen · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it
• Information Systems — 19 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Recommender Systems — 9 citations into it
• Management Science and Operations Research — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Chen Chen trusts overall

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

1. Diederik P. Kingma
2. Min-Ling Zhang
3. Geoffrey E. Hinton
4. Ilya Sutskever
5. Xiangnan He
6. Cong Xie
7. Jimmy Ba
8. Alex Krizhevsky
9. Robert E. Schapire
10. Yoshua Bengio

Who trusts Chen Chen overall

1. Jiahua Dong

Papers from Chen Chen's perspective

Ordered by how strongly the researchers Chen 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. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Robust Federated Recommendation System (2020) — 33 citations
• Two-Stage Label Embedding via Neural Factorization Machine for Multi-Label Classification (2019) — 41 citations