Shaocong Wu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 15

Top Topics

Wavelet Transform

Correlation Analysis

Top Venues

Expert Syst. Appl.

ACM Trans. Multim. Comput. Commun. Appl.

Publications

Xinning Yi, Tianguang Lu, Jing Li, Shaocong Wu
Collaborative planning of integrated hydrogen energy chain multi-energy systems: A review. CoRR (2024)
Wenyuan Yang, Shaocong Wu, Jianwei Fei, Xianwang Zeng, Yuemin Ding, Zhihua Xia
A Bitcoin-based Secure Outsourcing Scheme for Optimization Problem in Multimedia Internet of Things. ACM Trans. Multim. Comput. Commun. Appl. 20 (6) (2024)
Shaocong Wu, Mengxia Liang, Xiaolong Wang, Qingcai Chen
VGbel: An exploration of ensemble learning incorporating non-Euclidean structural representation for time series classification. Expert Syst. Appl. 224 (2023)
Mengxia Liang, Xiaolong Wang, Shaocong Wu
Improving stock trend prediction through financial time series classification and temporal correlation analysis based on aligning change point. Soft Comput. 27 (7) (2023)
Dingming Wu, Xiaolong Wang, Shaocong Wu
A hybrid framework based on extreme learning machine, discrete wavelet transform, and autoencoder with feature penalty for stock prediction. Expert Syst. Appl. 207 (2022)
Dingming Wu, Xiaolong Wang, Shaocong Wu
Jointly modeling transfer learning of industrial chain information and deep learning for stock prediction. Expert Syst. Appl. 191 (2022)
Shaocong Wu, Xiaolong Wang, Jingyong Su
Statistical analysis of the community lockdown for COVID-19 pandemic. Appl. Intell. 52 (4) (2022)
Mengxia Liang, Shaocong Wu, Xiaolong Wang, Qingcai Chen
A stock time series forecasting approach incorporating candlestick patterns and sequence similarity. Expert Syst. Appl. 205 (2022)
Xiaoming Liu, Shaocong Wu, Zhaohan Zhang, Chao Shen
Unify Local and Global Information for Top-N Recommendation. SIGIR (2022)
Dingming Wu, Xiaolong Wang, Shaocong Wu
Construction of stock portfolios based on k-means clustering of continuous trend features. Knowl. Based Syst. 252 (2022)
Shaocong Wu, Xiaolong Wang, Mengxia Liang, Dingming Wu
PFC: A Novel Perceptual Features-Based Framework for Time Series Classification. Entropy 23 (8) (2021)
Dingming Wu, Xiaolong Wang, Shaocong Wu
A Hybrid Method Based on Extreme Learning Machine and Wavelet Transform Denoising for Stock Prediction. Entropy 23 (4) (2021)
Mengxia Liang, Xiaolong Wang, Shaocong Wu
A Novel Time-Sensitive Composite Similarity Model for Multivariate Time-Series Correlation Analysis. Entropy 23 (6) (2021)
Xiaoming Liu, Shaocong Wu, Zhaohan Zhang, Zhanwei Zhang, Yu Lan, Chao Shen
A Duet Recommendation Algorithm Based on Jointly Local and Global Representation Learning. CoRR (2020)
Dingming Wu, Xiaolong Wang, Jingyong Su, Buzhou Tang, Shaocong Wu
A Labeling Method for Financial Time Series Prediction Based on Trends. Entropy 22 (10) (2020)