Fanwei Zhu

Artificial Intelligence · 2017–2018

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 — 29 citations into it
• Graph Learning — 15 citations into it
• Statistical and Nonlinear Physics — 12 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Model Architectures — 8 citations into it
• Information Systems — 6 citations into it
• Natural Language Processing — 5 citations into it

Whom Fanwei Zhu trusts overall

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

1. Ilya Sutskever
2. Glen Jeh
3. Quoc V. Le
4. Geoffrey E. Hinton
5. Sepp Hochreiter
6. Yoshua Bengio
7. Oriol Vinyals
8. Bryan Perozzi
9. Alex Krizhevsky
10. Tomas Mikolov

Papers from Fanwei Zhu's perspective

Ordered by how strongly the researchers Fanwei Zhu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
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

• Distance-Aware DAG Embedding for Proximity Search on Heterogeneous Graphs (2018) — 35 citations
• Semantic Proximity Search on Heterogeneous Graph by Proximity Embedding (2017) — 71 citations