Changjun Zhou

Management Science and Operations Research · 2019–2020

A researcher in the Science corpus: 2 papers; 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 Changjun Zhou trusts overall

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

1. Ha Young Kim

Papers from Changjun Zhou's perspective

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

1. Recurrent Models of Visual Attention
2. Deep Learning
3. Residual LSTM: Design of a Deep Recurrent Architecture for Distant Speech Recognition
4. CNN-LSTM Neural Network Model for Quantitative Strategy Analysis in Stock Markets
5. Machine Learning Strategies for Time Series Forecasting
6. Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models
7. Stock market one-day ahead movement prediction using disparate data sources
8. Noisy Stock Prices and Corporate Investment (The Review of financial studies)
9. Gradient-based learning applied to document recognition
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• Forecasting stock prices with long-short term memory neural network based on attention mechanism (2020) — 321 citations
• Mechanical properties tests and multiscale numerical simulations for basalt fiber reinforced concrete (2019) — 200 citations