Fang Ren

Science Advances · 2018

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

Whom Fang Ren trusts overall

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

1. Nancy A. Obuchowski
2. X. Yang
3. Logan T. Ward
4. Mark A. Hall
5. Yong Zhang

Papers from Fang Ren's perspective

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

1. Prediction of high-entropy stabilized solid-solution in multi-component alloys
2. Receiver operating characteristic curves and their use in radiology. (Radiology)
3. The WEKA data mining software: an update
4. A General-Purpose Machine Learning Framework for Predicting Properties of Inorganic Materials
5. Organic Glasses with Exceptional Thermodynamic and Kinetic Stability (Science)
6. Applications of high throughput (combinatorial) methodologies to electronic, magnetic, optical, and energy-related materials
7. Machine-learning-assisted materials discovery using failed experiments
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Recent advances in deep learning for speech research at Microsoft
10. On the importance of initialization and momentum in deep learning

Their papers

• Accelerated discovery of metallic glasses through iteration of machine learning and high-throughput experiments (2018) — 474 citations