Xianglin Liu

Materials Chemistry · 2022

A researcher in the Science corpus: 1 paper; trusts 48 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Materials Chemistry — 52 citations into it
• Mechanical Engineering — 44 citations into it
• Aerospace Engineering — 33 citations into it
• Computational Theory and Mathematics — 21 citations into it
• Artificial Intelligence — 18 citations into it
• Biomedical Engineering — 15 citations into it
• Atomic and Molecular Physics, and Optics — 10 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it

Whom Xianglin Liu trusts overall

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

1. A. P. Bart'ok
2. J. Behler
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Benjamin Peherstorfer
6. Yoshua Bengio
7. Stefan Heinrich
8. M. Giles
9. Gábor Csányi
10. Yann LeCun

Papers from Xianglin Liu's perspective

Ordered by how strongly the researchers Xianglin 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. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Machine Learning for High-entropy Alloys: Progress, Challenges and Opportunities (2022) — 323 citations