Lihang Liu

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 Lihang Liu 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
8. Yoshua Bengio
9. Lorenz C. Blum
10. Thomas Kipf

Papers from Lihang Liu's perspective

Ordered by how strongly the researchers Lihang Liu 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. Long Short-Term Memory
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Layer Normalization
10. Going deeper with convolutions

Their papers

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