| A surrogate-assisted many-objective evolutionary algorithm using multi-classification and coevolution for expensive optimization problems R Wang, Y Zhou, H Chen, L Ma, M Zheng Ieee Access 9, 159160-159174, 2021 | 3 | 2021 |
| One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training L Ma, Y Zhou, J Ma, G Yu, Q Li arXiv preprint arXiv:2401.16760, 2024 | | 2024 |
| Information extraction of Chinese medical electronic records via evolutionary neural architecture search T Zhang, N Li, Y Zhou, W Cai, L Ma 2023 IEEE International Conference on Data Mining Workshops (ICDMW), 396-405, 2023 | | 2023 |
| A Large-Scale Multi-objective Brain Storm Optimization Algorithm Based on Direction Vectors and Variance Analysis Y Liu, T Xing, Y Zhou, N Li, L Ma, Y Wen, C Liu, H Shi International Conference on Swarm Intelligence, 413-424, 2023 | | 2023 |
| Neural Architecture Search Based on Improved Brain Storm Optimization Algorithm X An, L Ma, Y Zhou, N Li, T Xing, Y Wen, C Liu, H Shi International Conference on Swarm Intelligence, 334-344, 2023 | | 2023 |
| Multiple Residual Quantization of Pruning Y Zhou, HD Kang, T Zhang, LB Ma, TJ Xing International Conference on Data Mining and Big Data, 209-219, 2022 | | 2022 |
