Yanli Liu

Artificial Intelligence · with Yin · 2020

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it; #24,792 of 35,345 by trust here, #33,294 by citations
• Optimization & Training — 12 citations into it
• Computational Mechanics — 6 citations into it; #6,953 of 10,001 by trust here, #9,276 by citations
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Yanli Liu trusts overall

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

1. Boris Polyak
2. Geoffrey E. Hinton
3. Ilya Sutskever
4. Alex Krizhevsky
5. Elad Hazan
6. Saeed Ghadimi
7. Jerry Ma
8. Jian Zhang
9. Euhanna Ghadimi
10. Hao Yu

Who trusts Yanli Liu overall

1. Xinmeng Huang
2. Ping Li
3. Xiaoyun Li

Papers from Yanli Liu's perspective

Ordered by how strongly the researchers Yanli Liu 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. Long Short-Term Memory
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• An Improved Analysis of Stochastic Gradient Descent with Momentum (2020) — 320 citations