Yu Chen

Artificial Intelligence · with Wu · 2020–2023

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Graph Learning — 17 citations into it
• Statistical and Nonlinear Physics — 8 citations into it
• Molecular Biology — 5 citations into it

Whom Yu Chen trusts overall

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

1. Johannes Klicpera
2. Ken Lang
3. Sepp Hochreiter
4. Thomas Kipf
5. Geoffrey E. Hinton
6. Diederik P. Kingma
7. Yoshua Bengio
8. Bo Pang
9. William L. Hamilton
10. Max Welling

Who trusts Yu Chen overall

1. Qitian Wu
2. Jinghao Zhang
3. Jianxin Chang
4. Wentao Zhao
5. Yanqiao Zhu

Papers from Yu Chen's perspective

Ordered by how strongly the researchers Yu 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Graph Neural Networks for Natural Language Processing: A Survey (2023) — 393 citations
• Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings (2020) — 532 citations