Sen Wang
Artificial Intelligence · with Zhang · 2016–2020
A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 51 citations into it; #33,057 of 35,345 by trust here, #19,873 by citations
- Natural Language Processing — 35 citations into it
- Computer Vision and Pattern Recognition — 23 citations into it
- Model Architectures — 13 citations into it; #2,102 of 2,278 by trust here, #1,693 by citations
- Cognitive Neuroscience — 12 citations into it
- Signal Processing — 8 citations into it
- Optimization & Training — 7 citations into it
Whom Sen Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Jimmy Ba
- Ilya Sutskever
- Alex Krizhevsky
- Matthew D. Zeiler
- Alex Graves
- Richard Socher
- Yann LeCun
Who trusts Sen Wang overall
Papers from Sen Wang's perspective
Ordered by how strongly the researchers Sen Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Dropout: a simple way to prevent neural networks from overfitting
- ImageNet: A large-scale hierarchical image database
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
Their papers
- Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling (2018) — 148 citations
- Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognition (2020) — 326 citations
- Learning Graph-based POI Embedding for Location-based Recommendation (2016) — 373 citations