Bin Wang

Management Science and Operations Research · with Qiu · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Management Science and Operations Research — 5 citations into it

Whom Bin Wang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ha Young Kim
2. Volodymyr Mnih

Papers from Bin Wang's perspective

Ordered by how strongly the researchers Bin Wang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Recurrent Models of Visual Attention
2. Gradient-based learning applied to document recognition
3. Deep Learning
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet classification with deep convolutional neural networks
8. Residual LSTM: Design of a Deep Recurrent Architecture for Distant Speech Recognition
9. CNN-LSTM Neural Network Model for Quantitative Strategy Analysis in Stock Markets
10. Machine Learning Strategies for Time Series Forecasting

Their papers

• Forecasting stock prices with long-short term memory neural network based on attention mechanism (2020) — 321 citations