Yongshan Ding

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 42 citations into it
• Computational Theory and Mathematics — 7 citations into it

Whom Yongshan Ding trusts overall

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

1. Jarrod R. McClean
2. Daniel Gottesman
3. Peter Wittek
4. Anmer Daskin
5. Maria Schuld
6. Sergey Bravyi
7. Kristan Temme
8. Edward Farhi
9. Song Han
10. Ying Li

Papers from Yongshan Ding's perspective

Ordered by how strongly the researchers Yongshan Ding 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. A variational eigenvalue solver on a photonic quantum processor (Nature Communications)
10. Going deeper with convolutions

Their papers

• QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits (2021) — 295 citations