Jianxin Chang

Artificial Intelligence · 2021

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 117 citations into it
• Information Systems — 87 citations into it
• Recommender Systems — 24 citations into it
• Graph Learning — 21 citations into it

Whom Jianxin Chang trusts overall

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

1. Diederik P. Kingma
2. Xiangnan He
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Xavier Glorot
6. Steffen Rendle
7. Dzmitry Bahdanau
8. Jimmy Ba
9. Xiang Wang
10. Rex Ying

Who trusts Jianxin Chang overall

1. Shiwen Wu
2. Chen Gao

Papers from Jianxin Chang's perspective

Ordered by how strongly the researchers Jianxin Chang 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Sequential Recommendation with Graph Neural Networks (2021) — 482 citations
• A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions (2021) — 789 citations