Ji Geng

Artificial Intelligence · 2020

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

Subfields

• Artificial Intelligence — 20 citations into it

Whom Ji Geng trusts

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

1. Max Welling (in Artificial Intelligence)

Papers from Ji Geng's perspective

Ordered by how strongly the researchers Ji Geng 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. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
4. Learning without Forgetting
5. Gradient-based learning applied to document recognition
6. iCaRL: Incremental Classifier and Representation Learning
7. Attention is All you Need (Neural Information Processing Systems)
8. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. node2vec: Scalable Feature Learning for Networks

Their papers

• Continual Graph Learning (2020) — 10 citations