Zheng Xiong

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 Zheng Xiong trusts overall

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

1. Logan T. Ward
2. Tian Xie
3. James E. Saal
4. Shyue Ping Ong
5. Bryce Meredig
6. Anubhav Jain
7. Stefano Curtarolo
8. S. Kirklin
9. Valentin G. Stanev
10. Chris Wolverton

Papers from Zheng Xiong's perspective

Ordered by how strongly the researchers Zheng Xiong 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. ImageNet classification with deep convolutional neural networks
4. Fully convolutional networks for semantic segmentation
5. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
6. Scikit-learn: Machine Learning in Python
7. Gradient-based learning applied to document recognition
8. A General-Purpose Machine Learning Framework for Predicting Properties of Inorganic Materials
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Attention is All you Need (Neural Information Processing Systems)

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