Xinqiang Ding

Probabilistic & Bayesian Methods · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Probabilistic & Bayesian Methods — 7 citations into it

Whom Xinqiang Ding trusts overall

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

1. L. V. D. van der Maaten
2. Geoffrey E. Hinton
3. Arthur P. Dempster
4. Sam Sinai
5. Romain Lopez
6. Kevin Kaichuang Yang
7. Michael I. Jordan
8. David E. Rumelhart
9. Radford M. Neal
10. Diederik P. Kingma

Who trusts Xinqiang Ding overall

1. Alexey Strokach
2. David Becerra

Papers from Xinqiang Ding's perspective

Ordered by how strongly the researchers Xinqiang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. GENERATIVE ADVERSARIAL NETS
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Deciphering protein evolution and fitness landscapes with latent space models (2019) — 108 citations
• Stability and folding pathways of tetra-nucleosome from six-dimensional free energy surface (2021) — 52 citations