Ziqian Bai

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Computational Mechanics — 9 citations into it
• Optimization & Training — 6 citations into it

Whom Ziqian Bai trusts overall

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

1. Rashish Tandon
2. Sebastian Ruder
3. Diederik P. Kingma
4. Marc'Aurelio Ranzato
5. Geoffrey E. Hinton
6. E.J. Candes
7. David E. Rumelhart
8. Sanghamitra Dutta
9. Yann LeCun
10. Max Welling

Who trusts Ziqian Bai overall

1. Malihe Aliasgari

Papers from Ziqian Bai's perspective

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

Their papers

• A Unified Coded Deep Neural Network Training Strategy based on Generalized PolyDot codes (2018) — 116 citations