Zhuangyan Fang

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Causal Inference & Discovery — 15 citations into it
• Probabilistic & Bayesian Methods — 11 citations into it
• Computational Theory and Mathematics — 6 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it
• Optimization & Training — 5 citations into it
• Statistics and Probability — 5 citations into it

Whom Zhuangyan Fang trusts overall

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

1. Jan Peters
2. Kun Zhang
3. Diederik P. Kingma
4. Tom L. Burr
5. Bernhard Schölkopf
6. Yoshua Bengio
7. Judea Pearl
8. Clark Glymour
9. David Maxwell Chickering
10. Aapo Hyvärinen

Who trusts Zhuangyan Fang overall

1. Sébastien Lachapelle
2. Matthew James Vowels
3. Philippe Brouillard

Papers from Zhuangyan Fang's perspective

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

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

Their papers

• Masked Gradient-Based Causal Structure Learning (2019) — 143 citations