Rui Wang
Artificial Intelligence · Information Sciences · 2016–2019
A researcher in the Science corpus: 3 papers; trusts 42 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 64 citations into it
- Computational Theory and Mathematics — 60 citations into it
- Management Science and Operations Research — 17 citations into it
- Industrial and Manufacturing Engineering — 6 citations into it
- Statistics and Probability — 5 citations into it
Whom Rui Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaisa Miettinen
- Eckart Zitzler
- Kalyanmoy Deb
- Il Yong Kim
- Qingfu Zhang
- Hisao Ishibuchi
- David Hilton Wolpert
- Robin Charles Purshouse
- Hui Li
- Johannes Bader
Who trusts Rui Wang overall
Papers from Rui Wang's perspective
Ordered by how strongly the researchers Rui Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
Their papers
- Localized Weighted Sum Method for Many-Objective Optimization (2018) — 310 citations
- Deep Reinforcement Learning for Multiobjective Optimization (2019) — 391 citations
- Differential evolution with multi-population based ensemble of mutation strategies (2016) — 521 citations