Meng Liu
Artificial Intelligence · with Gao · 2020
A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 21 citations into it
- Graph Learning — 16 citations into it
- Statistical and Nonlinear Physics — 13 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Meng Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- L. V. D. van der Maaten
- Matthias Fey
- William L. Hamilton
- Johannes Klicpera
- Qimai Li
- Yoshua Bengio
- Oleksandr Shchur
- Muhan Zhang
- Prithviraj Sen
Who trusts Meng Liu overall
Papers from Meng Liu's perspective
Ordered by how strongly the researchers Meng Liu 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
Their papers
- Towards Deeper Graph Neural Networks (2020) — 738 citations