Yunan Luo

Molecular Biology · 2017–2023

A researcher in the Science corpus: 4 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 96 citations into it
• Artificial Intelligence — 37 citations into it
• Computational Biology & Bioinformatics — 36 citations into it
• Reinforcement Learning — 27 citations into it
• Optimization & Training — 5 citations into it

Whom Yunan Luo trusts overall

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

1. Geoffrey E. Hinton
2. Ronald J. Williams
3. Kevin Kaichuang Yang
4. Yoshua Bengio
5. Richard S. Sutton
6. Frances H. Arnold
7. Alex Krizhevsky
8. Quoc V. Le
9. Tunca Dogan
10. Ilya Sutskever

Who trusts Yunan Luo overall

1. Xin Wang
2. Milan Picard
3. Fangping Wan
4. Suresh Dara
5. Maryam Bagherian

Papers from Yunan Luo's perspective

Ordered by how strongly the researchers Yunan Luo 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. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Sequence Modeling of Temporal Credit Assignment for Episodic Reinforcement Learning (2019) — 41 citations
• Enzyme function prediction using contrastive learning (2023) — 436 citations
• A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information (2017) — 786 citations
• Evolutionary context-integrated deep sequence modeling for protein engineering (2020) — 12 citations