Performance optimization of salp swarm algorithm for multi-threshold image segmentation: Comprehensive study of breast cancer microscopy. - Songwei Zhao; Pengjun Wang; Ali Asghar Heidari; Huiling Chen 001; Wenming He; Suling Xu (Comput. Biol. Medicine, 2021)

Multilevel threshold image segmentation with diffusion association slime mould algorithm and Renyi's entropy for chronic obstructive pulmonary disease. - Songwei Zhao; Pengjun Wang; Ali Asghar Heidari; Huiling Chen 001; Hamza Turabieh; Majdi M. Mafarja; Chengye Li (Comput. Biol. Medicine, 2021)

District-Coupled Epidemic Control via Deep Reinforcement Learning. - Xinqi Du; Tianyi Liu; Songwei Zhao; Jiuman Song; Hechang Chen (KSEM (2), 2022)

Intervention-Aware Epidemic Prediction by Enhanced Whale Optimization. - Songwei Zhao; Jiuman Song; Xinqi Du; Tianyi Liu; Huiling Chen 001; Hechang Chen (KSEM (2), 2022)

An enhanced Cauchy mutation grasshopper optimization with trigonometric substitution: engineering design and feature selection. - Songwei Zhao; Pengjun Wang; Ali Asghar Heidari; Xuehua Zhao; Chao Ma 021; Huiling Chen 001 (Eng. Comput., 2022)

Elite dominance scheme ingrained adaptive salp swarm algorithm: a comprehensive study. - Songwei Zhao; Pengjun Wang; Xuehua Zhao; Hamza Turabieh; Majdi M. Mafarja; Huiling Chen 001 (Eng. Comput., 2022)

Boosted crow search algorithm for handling multi-threshold image problems with application to X-ray images of COVID-19. - Songwei Zhao; Pengjun Wang; Ali Asghar Heidari; Xuehua Zhao; Huiling Chen 001 (Expert Syst. Appl., 2023)

HRL4EC: Hierarchical reinforcement learning for multi-mode epidemic control. - Xinqi Du; Hechang Chen; Bo Yang 002; Cheng Long 001; Songwei Zhao (Inf. Sci., 2023)

Uncertainty-Aware Contrastive Learning for semi-supervised named entity recognition. - Kang Yang; Zhiwei Yang 005; Songwei Zhao; Zhejian Yang; Sinuo Zhang; Hechang Chen (Knowl. Based Syst., 2024)

GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs. - Songwei Zhao; Yuan Jiang 007; Zijing Zhang; Yang Yu; Hechang Chen (AAAI, 2025)

A Flexible Diffusion Convolution for Graph Neural Networks. - Songwei Zhao; Bo Yu 013; Kang Yang; Sinuo Zhang; Jifeng Hu; Yuan Jiang 007; Philip S. Yu; Hechang Chen (IEEE Trans. Knowl. Data Eng., 2025)

EGNN: Exploring Structure-Level Neighborhoods in Graphs With Varying Homophily Ratios. - Songwei Zhao; Bo Yu 013; Sinuo Zhang; Zhejian Yang; Jifeng Hu; Philip S. Yu; Hechang Chen (IEEE Trans. Knowl. Data Eng., 2025)