A Duet Recommendation Algorithm Based on Jointly Local and Global Representation Learning. - Xiaoming Liu 011; Shaocong Wu; Zhaohan Zhang; Zhanwei Zhang; Yu Lan 001; Chao Shen 001 (CoRR, 2020)

A Labeling Method for Financial Time Series Prediction Based on Trends. - Dingming Wu 004; Xiaolong Wang 001; Jingyong Su; Buzhou Tang; Shaocong Wu (Entropy, 2020)

A Novel Time-Sensitive Composite Similarity Model for Multivariate Time-Series Correlation Analysis. - Mengxia Liang; Xiaolong Wang 001; Shaocong Wu (Entropy, 2021)

PFC: A Novel Perceptual Features-Based Framework for Time Series Classification. - Shaocong Wu; Xiaolong Wang 001; Mengxia Liang; Dingming Wu 004 (Entropy, 2021)

A Hybrid Method Based on Extreme Learning Machine and Wavelet Transform Denoising for Stock Prediction. - Dingming Wu 004; Xiaolong Wang 001; Shaocong Wu (Entropy, 2021)

Unify Local and Global Information for Top-N Recommendation. - Xiaoming Liu 011; Shaocong Wu; Zhaohan Zhang; Chao Shen 001 (SIGIR, 2022)

Statistical analysis of the community lockdown for COVID-19 pandemic. - Shaocong Wu; Xiaolong Wang 001; Jingyong Su (Appl. Intell., 2022)

A stock time series forecasting approach incorporating candlestick patterns and sequence similarity. - Mengxia Liang; Shaocong Wu; Xiaolong Wang 001; Qingcai Chen (Expert Syst. Appl., 2022)

Jointly modeling transfer learning of industrial chain information and deep learning for stock prediction. - Dingming Wu 004; Xiaolong Wang 001; Shaocong Wu (Expert Syst. Appl., 2022)

A hybrid framework based on extreme learning machine, discrete wavelet transform, and autoencoder with feature penalty for stock prediction. - Dingming Wu 004; Xiaolong Wang 001; Shaocong Wu (Expert Syst. Appl., 2022)

Construction of stock portfolios based on k-means clustering of continuous trend features. - Dingming Wu 004; Xiaolong Wang 001; Shaocong Wu (Knowl. Based Syst., 2022)

Improving stock trend prediction through financial time series classification and temporal correlation analysis based on aligning change point. - Mengxia Liang; Xiaolong Wang 001; Shaocong Wu (Soft Comput., 2023)

VGbel: An exploration of ensemble learning incorporating non-Euclidean structural representation for time series classification. - Shaocong Wu; Mengxia Liang; Xiaolong Wang 001; Qingcai Chen (Expert Syst. Appl., 2023)

Collaborative planning of integrated hydrogen energy chain multi-energy systems: A review. - Xinning Yi; Tianguang Lu; Jing Li; Shaocong Wu (CoRR, 2024)

A Bitcoin-based Secure Outsourcing Scheme for Optimization Problem in Multimedia Internet of Things. - Wenyuan Yang; Shaocong Wu; Jianwei Fei; Xianwang Zeng; Yuemin Ding; Zhihua Xia (ACM Trans. Multim. Comput. Commun. Appl., 2024)