Fei-yue Wang
Artificial Intelligence · IEEE/CAA Journal of Automatica Sinica · 2016–2020
A researcher in the Science corpus: 5 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 39 citations into it
- Computer Vision and Pattern Recognition — 37 citations into it
- Generative Models — 26 citations into it
- Control and Systems Engineering — 12 citations into it
- Representation & Self-Supervised Learning — 8 citations into it
Whom Fei-yue Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- J. Urgen Schmidhuber
- Yann LeCun
- Alex Krizhevsky
- Ilya Sutskever
- Radford M. Neal
- Kaiming He
- Alex Graves
Who trusts Fei-yue Wang overall
Papers from Fei-yue Wang's perspective
Ordered by how strongly the researchers Fei-yue Wang 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)
- Long Short-Term Memory
- GENERATIVE ADVERSARIAL NETS
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Attention is All you Need (Neural Information Processing Systems)
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
Their papers
- Where does AlphaGo go: from church-turing thesis to AlphaGo thesis and beyond (2016) — 296 citations
- Characterizing the Propagation of Situational Information in Social Media During COVID-19 Epidemic: A Case Study on Weibo (2020) — 388 citations
- Driving Style Recognition for Intelligent Vehicle Control and Advanced Driver Assistance: A Survey (2018) — 511 citations
- Capturing Car-Following Behaviors by Deep Learning (2018) — 308 citations
- Generative adversarial networks: introduction and outlook (2017) — 652 citations