Renguang Zuo
Artificial Intelligence · 2011–2019
A researcher in the Science corpus: 5 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 44 citations into it
- Computer Vision and Pattern Recognition — 31 citations into it
- Media Technology — 16 citations into it
- Environmental Engineering — 12 citations into it
- Atmospheric Science — 8 citations into it
- Mechanical Engineering — 5 citations into it
Whom Renguang Zuo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Emmanuel John Muico Carranza
- Vladimir Naumovich Vapni
- Thorsten Joachims
- Jürgen Symanzik
- Yoshua Bengio
- Geoffrey E. Hinton
- Taskin Kavzoglu
- Chengquan Huang
- Qinghua Guo
- Yann LeCun
Who trusts Renguang Zuo overall
Papers from Renguang Zuo's perspective
Ordered by how strongly the researchers Renguang Zuo 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
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- Deep learning and its application in geochemical mapping (2019) — 365 citations
- Discovering geochemical patterns by factor-based cluster analysis (2017) — 52 citations
- Identification of weak anomalies: A multifractal perspective (2015) — 99 citations
- A Comparison of Modified Fuzzy Weights of Evidence, Fuzzy Weights of Evidence, and Logistic Regression for Mapping Mineral Prospectivity (2014) — 47 citations
- Support vector machine: A tool for mapping mineral prospectivity (2011) — 478 citations