Yongjian Li

Molecular Biology · with Chen · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 16 citations into it
• Computational Theory and Mathematics — 14 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it

Whom Yongjian Li trusts overall

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

1. Sepp Hochreiter
2. Geoffrey E. Hinton
3. Kaiming He
4. Vinod Nair
5. Kevin Bleakley
6. Pedro J. Ballester
7. J. Urgen Schmidhuber
8. David Ryan Koes
9. Yoshua Bengio
10. Djork-Arné Clevert

Who trusts Yongjian Li overall

1. Kenneth Atz

Papers from Yongjian Li's perspective

Ordered by how strongly the researchers Yongjian Li trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Rectified Linear Units Improve Restricted Boltzmann Machines
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Predicting drug–protein interaction using quasi-visual question answering system (2019) — 291 citations