Shuhan Yuan

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 3 papers; trusts 98 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 63 citations into it; #17,456 of 35,345 by trust here, #17,412 by citations
• Computer Vision and Pattern Recognition — 19 citations into it
• Representation & Self-Supervised Learning — 18 citations into it
• Computer Networks and Communications — 17 citations into it
• Natural Language Processing — 16 citations into it
• Safety, Robustness & Interpretability — 15 citations into it
• Graph Learning — 12 citations into it
• Statistical and Nonlinear Physics — 10 citations into it; #7,652 of 10,127 by trust here, #9,324 by citations

Whom Shuhan Yuan trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Andriy Mnih
4. Diederik P. Kingma
5. Ilya Sutskever
6. Alex Krizhevsky
7. Yann LeCun
8. Tomas Mikolov
9. Jimmy Ba
10. Alex Graves

Who trusts Shuhan Yuan overall

1. Dana Pessach
2. Tyler Derr
3. Van-Hoang Le
4. Erez Shmueli
5. Guy W. Cole
6. Yao Ma
7. Michael Gira
8. Sina Baharlouei
9. Steven Euijong Whang
10. Laleh Seyyed-Kalantari

Papers from Shuhan Yuan's perspective

Ordered by how strongly the researchers Shuhan Yuan 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• FairGAN: Fairness-aware Generative Adversarial Networks (2018) — 379 citations
• LogBERT: Log Anomaly Detection via BERT (2021) — 437 citations
• SNE: Signed Network Embedding (2017) — 147 citations