A new multi-function global particle swarm optimization. - Zhao-Hui Ruan; Yuan Yuan; Qi-Xiang Chen; Chuan-Xin Zhang; Yong Shuai; He-Ping Tan 001 (Appl. Soft Comput., 2016)

An Integrated Recommendation Model based on SMOTE, Denoising Auto Encoder and Multi-label Deep Forest. - Yong Shuai; Chuan Yang; Yongjun Li; Zheng Xie; Bing Li; Xinyi Su (CSAI, 2022)

A Full-Sample Clustering Model Considering Whole Process Optimization of Data. - Yong Shuai (Big Data Res., 2022)

An improved combined small sample time series data prediction model. - Yong Shuai; Chuan Yang; Biao Li; Xiaoping Huang; Xinyi Su (CSAI, 2023)

Review on Research of Automated Machine Learning. - Yuyanzhen Zhong; Chuan Yang; Xinyi Su; Biao Li; Xiaoping Huang; Yong Shuai (CSAI, 2023)

Exploring a Small Molecule Property Prediction Model with Optimal Comprehensive Performance through Multi-Objective Optimization Algorithms. - Junfeng Zhao; Lixin Tang; Yong Shuai (GECCO Companion, 2024)

An Improved and Combined Model for Data Pricing Based on Automated Machine Learning and Knowledge Graph. - Xinyi Su; Xiaodong Wang; Biao Li; Xiaoping Huang; Yuyanzhen Zhong; Yong Shuai (CNML, 2025)

A rapid reconstruction strategy of full-domain temperature field based on discrete measurement points for electronics thermal management. - Yuwei Ye; Qing Ai; Xu Zhang; Meng Liu; Yong Shuai (Adv. Eng. Softw., 2025)