Jiajin Li

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Information Systems — 9 citations into it
• Statistical and Nonlinear Physics — 9 citations into it
• Graph Learning — 8 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Jiajin Li trusts overall

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

1. Thomas Kipf
2. Jure Leskovec
3. Julian McAuley
4. Zhiwei Liu
5. Shebuti Rayana
6. Yingtong Dou
7. David K. Hammond
8. Michaël Defferrard
9. Pierre Vandergheynst
10. Jiawei Han

Papers from Jiajin Li's perspective

Ordered by how strongly the researchers Jiajin Li 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
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

• Rethinking Graph Neural Networks for Anomaly Detection (2022) — 404 citations