Jingyang Wang

Management Science and Operations Research · with Li · 2020

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Management Science and Operations Research — 10 citations into it

Whom Jingyang Wang trusts overall

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

1. Sepp Hochreiter
2. Yann LeCun
3. G. Zhang
4. Anne Treisman

Papers from Jingyang Wang's perspective

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

1. Gradient-based learning applied to document recognition
2. Long Short-Term Memory
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Learning Multiple Layers of Features from Tiny Images
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• A CNN-LSTM-Based Model to Forecast Stock Prices (2020) — 545 citations
• A CNN-BiLSTM-AM method for stock price prediction (2020) — 562 citations