Lianzhe Huang

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Graph Learning — 14 citations into it
• Natural Language Processing — 10 citations into it

Whom Lianzhe Huang trusts overall

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

1. Diederik P. Kingma
2. Yann LeCun
3. Sepp Hochreiter
4. Geoffrey E. Hinton
5. Yoon Kim
6. Yoshua Bengio
7. Jimmy Ba
8. J. Urgen Schmidhuber
9. Alex Krizhevsky
10. Ilya Sutskever

Who trusts Lianzhe Huang overall

1. Haopeng Zhang
2. Qian Li
3. Yufeng Zhang
4. Yuxiao Lin
5. Jiawei Zhang

Papers from Lianzhe Huang's perspective

Ordered by how strongly the researchers Lianzhe Huang 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Text Level Graph Neural Network for Text Classification (2019) — 315 citations