Hong Zeng

Molecular Biology · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 28 citations into it

Whom Hong Zeng trusts overall

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

1. Sheng Wang
2. S. Federhen
3. Hetunandan Kamisetty
4. Sergey Ovchinnikov
5. Kaiming He
6. Debora Marks
7. Jinbo Xu
8. Stefan Seemayer
9. Michael Remmert
10. Siqi Sun

Who trusts Hong Zeng overall

1. Alex Morehead
2. Rui Yin
3. Chen Chen

Papers from Hong Zeng's perspective

Ordered by how strongly the researchers Hong Zeng 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. Gradient-based learning applied to document recognition
4. Going deeper with convolutions
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Identification of direct residue contacts in protein–protein interaction by message passing

Their papers

• ComplexContact: a web server for inter-protein contact prediction using deep learning (2018) — 124 citations