Li Yang

Artificial Intelligence · with Shami · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 91 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 51 citations into it; #28,827 of 35,345 by trust here, #31,361 by citations
• Optimization & Training — 17 citations into it
• Computational Theory and Mathematics — 12 citations into it; #9,884 of 12,182 by trust here, #9,804 by citations
• Neural Architecture Search & AutoML — 10 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Computer Networks and Communications — 8 citations into it
• Evaluation & Benchmarks — 7 citations into it
• Statistical Learning Theory — 6 citations into it

Whom Li Yang trusts overall

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

1. James Bergstra
2. Yoshua Bengio
3. Katharina Eggensperger
4. Frank Hutter
5. Robert Tibshirani
6. Michael I. Jordan
7. Geoffrey E. Hinton
8. Charles M. Bishop
9. Thomas G. Dietterich
10. Alex Krizhevsky

Who trusts Li Yang overall

1. Abdallah Moubayed
2. Abdallah Shami
3. Meghdad Kurmanji
4. Bernd Bischl

Papers from Li Yang's perspective

Ordered by how strongly the researchers Li Yang 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. Attention is All you Need (Neural Information Processing Systems)
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
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

• On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice (2020) — 2,874 citations
• MTH-IDS: A Multitiered Hybrid Intrusion Detection System for Internet of Vehicles (2021) — 366 citations