Maorong Wang

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 41 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it
• Computer Vision and Pattern Recognition — 33 citations into it
• Meta & Continual Learning — 15 citations into it
• Representation & Self-Supervised Learning — 15 citations into it

Whom Maorong Wang trusts overall

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

1. Alex Krizhevsky
2. Rahaf Aljundi
3. Geoffrey E. Hinton
4. Kaiming He
5. Christian Szegedy
6. Yoshua Bengio
7. Yann LeCun
8. Diederik P. Kingma
9. Ilya Sutskever
10. Ross B. Girshick

Papers from Maorong Wang's perspective

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

Their papers

• Improving Plasticity in Online Continual Learning via Collaborative Learning (2023) — 27 citations