Jieqiong Lei

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 Jieqiong Lei trusts overall

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

1. Diederik P. Kingma
2. Jimmy Ba
3. Geoffrey E. Hinton
4. Kaiming He
5. David Weininger
6. Andrew P. Bradley
7. Ilya Sutskever

Papers from Jieqiong Lei's perspective

Ordered by how strongly the researchers Jieqiong Lei 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. Attention is All you Need (Neural Information Processing Systems)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
6. Layer Normalization
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

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