Fanjin Zhang
Artificial Intelligence · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 119 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 134 citations into it
- Computer Vision and Pattern Recognition — 94 citations into it
- Representation & Self-Supervised Learning — 63 citations into it
- Generative Models — 30 citations into it
- Natural Language Processing — 30 citations into it
- Graph Learning — 22 citations into it
- Molecular Biology — 13 citations into it
Whom Fanjin Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Diederik P. Kingma
- Alex Krizhevsky
- Yann LeCun
- Kaiming He
- Ilya Sutskever
- Tomas Mikolov
- Quoc V. Le
- Ross B. Girshick
Who trusts Fanjin Zhang overall
Papers from Fanjin Zhang's perspective
Ordered by how strongly the researchers Fanjin Zhang 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
Their papers
- Self-Supervised Learning: Generative or Contrastive (2020) — 2,207 citations
- OAG: Toward Linking Large-scale Heterogeneous Entity Graphs (2019) — 133 citations