Huibin Shen

Artificial Intelligence · 2015–2020

A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 45 citations into it
• Computational Theory and Mathematics — 27 citations into it
• Optimization & Training — 17 citations into it
• Neural Architecture Search & AutoML — 16 citations into it
• Management Science and Operations Research — 10 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it

Whom Huibin Shen trusts overall

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

1. Frank Hutter
2. Jasper Snoek
3. Christopher K. I. Williams
4. Aaron Klein
5. Kevin Swersky
6. Yoshua Bengio
7. Nikolaus Hansen
8. Geoffrey E. Hinton
9. James Bergstra
10. Alex Krizhevsky

Who trusts Huibin Shen overall

1. I. Blaženović

Papers from Huibin Shen's perspective

Ordered by how strongly the researchers Huibin Shen 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. Gradient-based learning applied to document recognition
5. Learning Multiple Layers of Features from Tiny Images
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Searching molecular structure databases with tandem mass spectra using CSI:FingerID (2015) — 1,020 citations
• Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning (2019) — 118 citations
• Amazon SageMaker Autopilot: a white box AutoML solution at scale (2020) — 77 citations