Xiaomin Fang

Computational Chemistry & Drug Discovery · 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

• Computational Chemistry & Drug Discovery — 17 citations into it
• Artificial Intelligence — 15 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Xiaomin Fang trusts overall

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

1. Diederik P. Kingma
2. Jimmy Ba
3. Kaiming He
4. Geoffrey E. Hinton
5. David Weininger
6. Andrew P. Bradley
7. Ilya Sutskever
8. Lorenz C. Blum
9. Yoshua Bengio
10. Thomas Kipf

Who trusts Xiaomin Fang overall

1. Jerret Ross
2. Gengmo Zhou
3. Zhifeng Gao

Papers from Xiaomin Fang's perspective

Ordered by how strongly the researchers Xiaomin Fang 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Geometry-enhanced molecular representation learning for property prediction (2021) — 648 citations