Justin Zhijun Zhan

with Fang · 2020

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Whom Justin Zhijun Zhan trusts overall

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

1. Maizar Raissi
2. G. Em Karniadakis
3. Atilim Gunes Baydin
4. S. Cummer
5. Paris Perdikaris

Who trusts Justin Zhijun Zhan overall

1. Han Gao
2. Sifan Wang

Papers from Justin Zhijun Zhan's perspective

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

1. Automatic differentiation in machine learning: a survey
2. Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning
3. Deep Learning in Drug Discovery
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
7. Hidden physics models: Machine learning of nonlinear partial differential equations
8. XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
9. ImageNet classification with deep convolutional neural networks
10. Full-wave simulations of electromagnetic cloaking structures. (Physical review. E, Statistical, nonlinear, and soft matter physics)

Their papers

• Deep Physical Informed Neural Networks for Metamaterial Design (2020) — 156 citations