Xiang Fu

Materials Chemistry · with Li · 2021–2025

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Materials Chemistry — 42 citations into it
• Computational Theory and Mathematics — 20 citations into it
• Molecular Biology — 12 citations into it
• Computational Chemistry & Drug Discovery — 9 citations into it

Whom Xiang Fu trusts overall

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

1. Johannes Klicpera
2. Chi Chen
3. Minkai Xu
4. Chence Shi
5. Shyue Ping Ong
6. Diederik P. Kingma
7. Shitong Luo
8. Yoshua Bengio
9. Geoffrey E. Hinton
10. Wengong Jin

Papers from Xiang Fu's perspective

Ordered by how strongly the researchers Xiang Fu 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. ImageNet: A large-scale hierarchical image database
7. GENERATIVE ADVERSARIAL NETS
8. Learning Multiple Layers of Features from Tiny Images
9. Long Short-Term Memory
10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers

• Crystal Diffusion Variational Autoencoder for Periodic Material Generation (2021) — 444 citations
• A generative model for inorganic materials design (2025) — 567 citations