Zhe Li

Artificial Intelligence · with Yang · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it; #28,501 of 35,345 by trust here, #19,873 by citations
• Optimization & Training — 14 citations into it
• Computational Mechanics — 13 citations into it; #8,070 of 10,001 by trust here, #4,450 by citations

Whom Zhe Li trusts overall

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

1. Saeed Ghadimi
2. Yurii E. Nesterov
3. Boris Polyak
4. Guanghui Lan
5. Euhanna Ghadimi
6. Alex Krizhevsky
7. Geoffrey E. Hinton
8. Ilya Sutskever
9. Olivier Bousquet

Who trusts Zhe Li overall

1. Nicolas Loizou

Papers from Zhe Li's perspective

Ordered by how strongly the researchers Zhe Li 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. On the importance of initialization and momentum in deep learning
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

Their papers

• A Unified Analysis of Stochastic Momentum Methods for Deep Learning (2018) — 140 citations
• Unified Convergence Analysis of Stochastic Momentum Methods for Convex and Non-convex Optimization (2016) — 131 citations