Jie Feng

Artificial Intelligence · with Jin · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Model Architectures — 13 citations into it
• Natural Language Processing — 10 citations into it

Whom Jie Feng trusts overall

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

1. Alex Graves
2. Ilya Sutskever
3. Diederik P. Kingma
4. Yoshua Bengio
5. Geoffrey E. Hinton
6. Oriol Vinyals
7. Dzmitry Bahdanau
8. Jimmy Ba
9. Sepp Hochreiter
10. Kyunghyun Cho

Who trusts Jie Feng overall

1. Senzhang Wang
2. Chaoyun Zhang
3. Massimiliano Luca
4. Sheng Wang
5. Jiannong Cao
6. Paul Patras

Papers from Jie Feng's perspective

Ordered by how strongly the researchers Jie Feng 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution (2021) — 668 citations
• DeepMove: Predicting Human Mobility with Attentional Recurrent Networks (2018) — 801 citations