Jing Li

Artificial Intelligence · with Demmel · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 61 citations into it
• Optimization & Training — 54 citations into it
• Computer Vision and Pattern Recognition — 39 citations into it

Whom Jing Li trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Ilya Sutskever
7. Yang You
8. Ross B. Girshick
9. Yann LeCun
10. Jacob Devlin

Who trusts Jing Li overall

1. Adrian La'ncucki
2. Yiming Cui
3. Zhiqing Sun
4. Minjia Zhang
5. Jeremy Howard
6. Ashok Cutkosky
7. J. Ainslie
8. Andrew Jaegle
9. Samyam Rajbhandari
10. Ahmed Elnaggar

Papers from Jing Li's perspective

Ordered by how strongly the researchers Jing 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Large Batch Optimization for Deep Learning: Training BERT in 76 minutes (2019) — 1,222 citations
• On the Transformer Growth for Progressive BERT Training (2020) — 61 citations
• Reducing BERT Pre-Training Time from 3 Days to 76 Minutes (2019) — 126 citations