Zhonghao Liu

Materials Chemistry · with Hu · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Materials Chemistry — 16 citations into it

Whom Zhonghao Liu trusts overall

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

1. Logan T. Ward
2. Xavier Glorot

Papers from Zhonghao Liu's perspective

Ordered by how strongly the researchers Zhonghao 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. Understanding the difficulty of training deep feedforward neural networks
3. Fully convolutional networks for semantic segmentation
4. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
5. ImageNet classification with deep convolutional neural networks
6. Gradient-based learning applied to document recognition
7. Scikit-learn: Machine Learning in Python
8. Learning Multiple Layers of Features from Tiny Images
9. Attention is All you Need (Neural Information Processing Systems)
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Evaluating explorative prediction power of machine learning algorithms for materials discovery using k-fold forward cross-validation (2020) — 300 citations
• A deep learning algorithm for one-step contour aware nuclei segmentation of histopathology images (2018) — 125 citations