Yunxing Zuo
Materials Chemistry · 2017–2020
A researcher in the Science corpus: 5 papers; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Materials Chemistry — 223 citations into it; #8,041 of 11,513 by trust here, #6,247 by citations
- AI for Physical Sciences — 23 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
Whom Yunxing Zuo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Behler
- A. P. Bart'ok
- Volker L. Deringer
- Gábor Csányi
- Shyue Ping Ong
- Aidan P. Thompson
- Geoffrey E. Hinton
- Matthias Rupp
- Emory M. Chan
- Anubhav Jain
Who trusts Yunxing Zuo overall
Papers from Yunxing Zuo's perspective
Ordered by how strongly the researchers Yunxing Zuo trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals (2018) — 1,359 citations
- A Performance and Cost Assessment of Machine Learning Interatomic Potentials. (2019) — 807 citations
- Flexible Composite Solid Electrolyte Facilitating Highly Stable “Soft Contacting” Li–Electrolyte Interface for Solid State Lithium‐Ion Batteries (2017) — 271 citations
- A Critical Review of Machine Learning of Energy Materials (2020) — 478 citations
- Complex strengthening mechanisms in the NbMoTaW multi-principal element alloy (2019) — 239 citations