Feiyue Wang
Building and Construction · with Lv · 2015–2020
A researcher in the Science corpus: 4 papers; trusts 15 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Building and Construction — 29 citations into it; #474 of 2,909 by trust here, #239 by citations
- Transportation — 26 citations into it; #422 of 2,062 by trust here, #104 by citations
- Artificial Intelligence — 20 citations into it
- Control and Systems Engineering — 17 citations into it; #2,170 of 8,257 by trust here, #464 by citations
- Computer Vision and Pattern Recognition — 15 citations into it
- Model Architectures — 6 citations into it
Whom Feiyue Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Graves
- Hussein Dia
- Geoffrey E. Hinton
- Yoshua Bengio
- Sepp Hochreiter
- Billy M. Williams
- J. Urgen Schmidhuber
- John Rice
- Ilya Sutskever
- Yanru Zhang
Who trusts Feiyue Wang overall
Papers from Feiyue Wang's perspective
Ordered by how strongly the researchers Feiyue Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- This PDF file includes: Materials and Methods
- A Fast Learning Algorithm for Deep Belief Nets
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Parallel Transportation Systems: Toward IoT-Enabled Smart Urban Traffic Control and Management (2020) — 299 citations
- An efficient realization of deep learning for traffic data imputation (2016) — 313 citations
- Travel time prediction with LSTM neural network (2016) — 331 citations
- Traffic Flow Prediction With Big Data: A Deep Learning Approach (2015) — 2,921 citations