Urgent task-aware cloud manufacturing service composition using two-stage biogeography-based optimisation. - Yan Wang; Ziwei Dai; Wenyu Zhang 001; Shuai Zhang 002; Yangbing Xu; Qian Chen 034 (Int. J. Comput. Integr. Manuf., 2018)

Forecasting Stock Prices Using a Hybrid Deep Learning Model Integrating Attention Mechanism, Multi-Layer Perceptron, and Bidirectional Long-Short Term Memory Neural Network. - Qian Chen 034; Wenyu Zhang 001; Yu Lou (IEEE Access, 2020)

A novel trilinear deep residual network with self-adaptive Dropout method for short-term load forecasting. - Qian Chen 034; Wenyu Zhang 001; Kun Zhu 008; Di Zhou; Hua Dai; Quanquan Wu (Expert Syst. Appl., 2021)

A novel transfer deep learning model with reinforcement-learning-based hyperparameter optimization for short-term load forecasting during the COVID-19 pandemic. - Shuai Zhang 002; Qian Chen 034; Wenhua Zeng; Shanshan Guo; Jiyuan Xu (J. Intell. Fuzzy Syst., 2022)

Dynamic graph convolutional networks based on spatiotemporal data embedding for traffic flow forecasting. - Wenyu Zhang 001; Kun Zhu 008; Shuai Zhang 002; Qian Chen 034; Jiyuan Xu (Knowl. Based Syst., 2022)

DECRL: A Deep Evolutionary Clustering Jointed Temporal Knowledge Graph Representation Learning Approach. - Qian Chen 034; Ling Chen 001 (NeurIPS, 2024)