Xiang Li

Artificial Intelligence · Nature Medicine · 2021–2023

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 73 citations into it
• Computer Vision and Pattern Recognition — 35 citations into it

Whom Xiang Li trusts overall

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

1. Jiong Zhu
2. Thomas Kipf
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Max Welling
6. Yujun Yan
7. Diederik P. Kingma
8. Johannes Klicpera
9. Meng Liu
10. Yann LeCun

Who trusts Xiang Li overall

1. Oleg Platonov

Papers from Xiang Li's perspective

Ordered by how strongly the researchers Xiang Li 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. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers

• A generalist vision–language foundation model for diverse biomedical tasks (2023) — 401 citations
• Finding Global Homophily in Graph Neural Networks When Meeting Heterophily (2022) — 296 citations
• Disentangling User Interest and Conformity for Recommendation with Causal Embedding (2021) — 413 citations