Shaocong Wu

Orcid: 0000-0002-7655-7636

According to our database1, Shaocong Wu authored at least 15 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Bitcoin-based Secure Outsourcing Scheme for Optimization Problem in Multimedia Internet of Things.
ACM Trans. Multim. Comput. Commun. Appl., June, 2024

Collaborative planning of integrated hydrogen energy chain multi-energy systems: A review.
CoRR, 2024

2023
VGbel: An exploration of ensemble learning incorporating non-Euclidean structural representation for time series classification.
Expert Syst. Appl., August, 2023

Improving stock trend prediction through financial time series classification and temporal correlation analysis based on aligning change point.
Soft Comput., April, 2023

2022
Construction of stock portfolios based on k-means clustering of continuous trend features.
Knowl. Based Syst., 2022

A hybrid framework based on extreme learning machine, discrete wavelet transform, and autoencoder with feature penalty for stock prediction.
Expert Syst. Appl., 2022

Jointly modeling transfer learning of industrial chain information and deep learning for stock prediction.
Expert Syst. Appl., 2022

A stock time series forecasting approach incorporating candlestick patterns and sequence similarity.
Expert Syst. Appl., 2022

Statistical analysis of the community lockdown for COVID-19 pandemic.
Appl. Intell., 2022

Unify Local and Global Information for Top-N Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021
A Hybrid Method Based on Extreme Learning Machine and Wavelet Transform Denoising for Stock Prediction.
Entropy, 2021

PFC: A Novel Perceptual Features-Based Framework for Time Series Classification.
Entropy, 2021

A Novel Time-Sensitive Composite Similarity Model for Multivariate Time-Series Correlation Analysis.
Entropy, 2021

2020
A Labeling Method for Financial Time Series Prediction Based on Trends.
Entropy, 2020

A Duet Recommendation Algorithm Based on Jointly Local and Global Representation Learning.
CoRR, 2020


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