Shiqi He

Optimization & Training · 2020

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 15 citations into it
• Artificial Intelligence — 14 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Shiqi He trusts overall

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

1. Alex Krizhevsky
2. Hao Yu
3. Xiangru Lian
4. Karen Simonyan
5. Peter Elias
6. Kaiming He
7. L. Eon Bottou
8. Pitch Patarasuk
9. Ce Zhang
10. Andrew Zisserman

Papers from Shiqi He's perspective

Ordered by how strongly the researchers Shiqi He trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Learning Multiple Layers of Features from Tiny Images
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• On the Convergence of Quantized Parallel Restarted SGD for Serverless Learning (2020)