Advanced orthogonal moth flame optimization with Broyden-Fletcher-Goldfarb-Shanno algorithm: Framework and real-world problems. - Hongliang Zhang 002; Rong Li; Zhennao Cai; Zhiyang Gu; Ali Asghar Heidari; Mingjing Wang; Huiling Chen 001; Mayun Chen (Expert Syst. Appl., 2020)

Ensemble mutation-driven salp swarm algorithm with restart mechanism: Framework and fundamental analysis. - Hongliang Zhang 002; Zhiyan Wang; Weibin Chen; Ali Asghar Heidari; Mingjing Wang; Xuehua Zhao; Guoxi Liang; Huiling Chen 001; Xin Zhang (Expert Syst. Appl., 2021)

Evolving kernel extreme learning machine for medical diagnosis via a disperse foraging sine cosine algorithm. - Jianfu Xia; Daqing Yang; Hong Zhou; Yuyan Chen; Hongliang Zhang 002; Tong Liu; Ali Asghar Heidari; Huiling Chen 001; Zhifang Pan (Comput. Biol. Medicine, 2022)

A multi-strategy enhanced salp swarm algorithm for global optimization. - Hongliang Zhang 002; Zhennao Cai; Xiaojia Ye; Mingjing Wang; Fangjun Kuang; Huiling Chen 001; Chengye Li; Yuping Li (Eng. Comput., 2022)

Differential evolution-assisted salp swarm algorithm with chaotic structure for real-world problems. - Hongliang Zhang 002; Tong Liu; Xiaojia Ye; Ali Asghar Heidari; Guoxi Liang; Huiling Chen 001; Zhifang Pan (Eng. Comput., 2023)

Unsupervised domain adaptation for Covid-19 classification based on balanced slice Wasserstein distance. - Jiawei Gu; Xuan Qian; Qian Zhang; Hongliang Zhang 002; Fang Wu (Comput. Biol. Medicine, 2023)

Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction. - Hongliang Zhang 002; Shuo Chen 003; Lei Luo 001; Jian Yang 003 (CoRR, 2024)

Few-shot learning with long-tailed labels. - Hongliang Zhang 002; Shuo Chen 003; Lei Luo 001; Jiang Yang (Pattern Recognit., 2024)

Learning Multi-scale Spatial-frequency Features for Image Denoising. - Xu Zhao 001; Chen Zhao 002; Xiantao Hu; Hongliang Zhang 002; Ying Tai; Jian Yang 003 (CoRR, 2025)