Wen Song
Artificial Intelligence · 2019–2023
A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 40 citations into it
- Industrial and Manufacturing Engineering — 21 citations into it
- Computer Vision and Pattern Recognition — 13 citations into it
- Reinforcement Learning — 13 citations into it
- Model Architectures — 12 citations into it
- Optimization & Training — 6 citations into it
Whom Wen Song trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Ronald J. Williams
- Kaiming He
- Geoffrey E. Hinton
- Oriol Vinyals
- Sergey Ioffe
- Zonghan Wu
- Diederik P. Kingma
- Alex Krizhevsky
- Christian Szegedy
Papers from Wen Song's perspective
Ordered by how strongly the researchers Wen Song trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- Flexible Job-Shop Scheduling via Graph Neural Network and Deep Reinforcement Learning (2023) — 373 citations
- Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning (2020) — 463 citations
- Learning Improvement Heuristics for Solving Routing Problems (2019) — 420 citations