Feng Zhu
Information Systems · with Chen · 2018–2021
A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 30 citations into it
- Artificial Intelligence — 24 citations into it
- Computer Vision and Pattern Recognition — 6 citations into it
Whom Feng Zhu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Bart Verheij
- Weike Pan
- Nati Srebro
- Robin D. Burke
- Ajit Paul Singh
- Qiang Yang
- Steffen Rendle
- Martin A. Riedmiller
- Sean M. Polyn
- Yu Zhang
Who trusts Feng Zhu overall
Papers from Feng Zhu's perspective
Ordered by how strongly the researchers Feng Zhu trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Cross-Domain Recommendation: Challenges, Progress, and Prospects (2021) — 301 citations
- A Deep Framework for Cross-Domain and Cross-System Recommendations (2018) — 177 citations