Data-Driven Recommendation Model with Meta-learning Autoencoder for Algorithm Selection. - Xianghua Chu; Yongsheng Pang; Jiayun Wang; Yuqiu Guo; Yuanju Qu; Yangpeng Wang (NCAA (1), 2022)

A Stacked Autoencoder Based Meta-Learning Model for Global Optimization. - Yue Ma; Yongsheng Pang; Shuxiang Li; Yuanju Qu; Yangpeng Wang; Xianghua Chu (NCAA (1), 2023)

Data-Driven Recommendation Model Based on Meta-Learning for Non-Intrusive Load Monitoring. - Xianghua Chu; Yongsheng Pang; Yue Ma; Shuxiang Li; Yuanju Qu; Yangpeng Wang (IEEE Trans. Consumer Electron., 2024)

An offline-online learning framework combining meta-learning and reinforcement learning for evolutionary multi-objective optimization. - Shuxiang Li; Yongsheng Pang; Zhaorong Huang; Xianghua Chu (Swarm Evol. Comput., 2025)