A Surrogate-Assisted Many-Objective Evolutionary Algorithm Using Multi- Classification and Coevolution for Expensive Optimization Problems. - Ruoyu Wang 024; Yuee Zhou; Hanning Chen; Lianbo Ma; Meng Zheng 001 (IEEE Access, 2021)

Multiple Residual Quantization of Pruning. - Yuee Zhou; Haidong Kang; Tian Zhang; Lianbo Ma; TieJun Xing (DMBD (1), 2022)

Information extraction of Chinese medical electronic records via evolutionary neural architecture search. - Tian Zhang; Nan Li; Yuee Zhou; Wei Cai; Lianbo Ma (ICDM (Workshops), 2023)

Neural Architecture Search Based on Improved Brain Storm Optimization Algorithm. - Xiaojie An; Lianbo Ma; Yuee Zhou; Nan Li; TieJun Xing; Yingyou Wen; Chang Liu; Haibo Shi (ICSI (1), 2023)

A Large-Scale Multi-objective Brain Storm Optimization Algorithm Based on Direction Vectors and Variance Analysis. - Yang Liu; TieJun Xing; Yuee Zhou; Nan Li; Lianbo Ma; Yingyou Wen; Chang Liu; Haibo Shi (ICSI (1), 2023)

One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training. - Lianbo Ma; Yuee Zhou; Jianlun Ma; Guo Yu 001; Qing Li 006 (AAAI, 2024)

Multi-Scale Hybrid Attention Convolutional Neural Network for Automatic Segmentation of Lumbar Vertebrae From MRI. - Jing Liu 078; Yuee Zhou; Xinxin Cui; Fengqing Jin; Guodong Suo; Hao Xu 016; Jianlan Yang (IEEE Access, 2024)

Learning from Loss Landscape: Generalizable Mixed-Precision Quantization via Adaptive Sharpness-Aware Gradient Aligning. - Lianbo Ma; Jianlun Ma; Yuee Zhou; Guoyang Xie; Qiang He; Zhichao Lu (CoRR, 2025)

Defying Multi-Model Forgetting in One-Shot Neural Architecture Search Using Orthogonal Gradient Learning. - Lianbo Ma; Yuee Zhou; Ye Ma; Guo Yu 001; Qing Li 006; Qiang He 002; Yan Pei 001 (IEEE Trans. Computers, 2025)