Hui Bu
Economics and Econometrics · with Wu · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Economics and Econometrics — 13 citations into it; #17,861 of 23,481 by trust here, #23,209 by citations
- Finance — 12 citations into it; #3,679 of 10,518 by trust here, #8,309 by citations
- Artificial Intelligence — 11 citations into it
- Management Science and Operations Research — 10 citations into it; #3,711 of 11,946 by trust here, #8,906 by citations
- Time-Series & Forecasting — 7 citations into it; #95 of 381 by trust here, #253 by citations
- Economics & Operations Research — 5 citations into it
Whom Hui Bu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Eugene F. Fama
- Malcolm P. Baker
- Alex Graves
- L. Takeuchi
- Wayne Y. Lee
- Feng Li
- Geoffrey E. Hinton
- Md. Rafiul Hassan
- Sepp Hochreiter
- Yoshua Bengio
Who trusts Hui Bu overall
Papers from Hui Bu's perspective
Ordered by how strongly the researchers Hui Bu trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Dropout: a simple way to prevent neural networks from overfitting
- ImageNet classification with deep convolutional neural networks
- Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Generating Sequences With Recurrent Neural Networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Speech recognition with deep recurrent neural networks
Their papers
- Sentiment-aware stock market prediction: A deep learning method (2017) — 109 citations
- Stock Market Embedding and Prediction: A Deep Learning Method (2018) — 15 citations