A Fast Neural Network Multi-label Classification Algorithm Based on Approximate Extreme Points. - Xupeng Wang 003; Zhongwen Guo; Xi Wang 003; Mengdi Min; Yangfan Zhao (BigCom, 2019)

Few-shot learning based on Attn-CutMix and task-adaptive transformer for the recognition of cotton growth state. - Yuhang Huang; Fangle Chang; Yu Tao; Yangfan Zhao; Longhua Ma; Hongye Su (Comput. Electron. Agric., 2022)

Multi-object tracking using Deep SORT and modified CenterNet in cotton seedling counting. - Hao Yang; Fangle Chang; Yuhang Huang; Ming Xu 013; Yangfan Zhao; Longhua Ma; Hongye Su (Comput. Electron. Agric., 2022)

Efficient High-Radix GF(p) Montgomery Modular Multiplication Via Deep Use Of Multipliers. - Ruoyu Wu; Ming Xu 013; Yingqing Yang; Guanzhong Tian; Ping Yu; Yangfan Zhao; Bin Lian; Longhua Ma (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

A multitasking multi-objective differential evolution gene selection algorithm enhanced with new elite and guidance strategies for tumor identification. - Min Li 020; Yangfan Zhao; Mingzhu Lou; Shaobo Deng; Lei Wang 191 (Expert Syst. Appl., 2024)

A recursive framework for improving the performance of multi-objective differential evolution algorithms for gene selection. - Min Li 020; Yangfan Zhao; Rutun Cao; Junke Wang; Depeng Wu (Swarm Evol. Comput., 2024)

Population characteristic exploitation-based multi-orientation multi-objective gene selection for microarray data classification. - Min Li 020; Rutun Cao; Yangfan Zhao; Yulong Li; Shaobo Deng (Comput. Biol. Medicine, 2024)

Enhanced black widow optimization algorithm incorporating food sufficiency strategy and differential mutation strategy for feature selection of high-dimensional data. - Min Li 020; Junke Wang; Shaobo Deng; Yangfan Zhao; Yulong Li (Expert Syst. Appl., 2025)