Bowen Dai

Molecular Biology · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 19 citations into it; #11,674 of 17,773 by trust here, #16,150 by citations
• Computational Theory and Mathematics — 7 citations into it

Whom Bowen Dai trusts overall

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

1. Aleksey A. Porollo
2. Ying Huang
3. Jaroslaw Meller
4. Beifang Niu
5. Thomas Kipf
6. Daniel Maturana

Who trusts Bowen Dai overall

1. Hannes Stärk
2. Octavian-Eugen Ganea
3. Alex Morehead

Papers from Bowen Dai's perspective

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

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

Their papers

• Protein interaction interface region prediction by geometric deep learning (2021) — 109 citations