| 起止年月 | 毕业高校 | 专业 | 师从导师 | 学位 |
|---|---|---|---|---|
| 2021-09至2024-12 | 南昌大学 | 信息管理与信息系统 | 闵卫东教授（国家级人才） | 工学博士 |
| 2018-09至2021-06 | 南昌大学 | 计算机科学与技术 | 闵卫东教授 | 工学硕士 |
| 2014-09至2018-06 | 南昌大学 | 计算机科学与技术 | 无 | 工学学士 |
（* 表示通讯作者,# 表示共同第一作者。）
Meng Zhu, Quan Xiao, Weidong Min*. AdamNX: An Adam improvement algorithm based on a novel exponential decay mechanism for the second-order moment estimate. arXiv, 2026. URL https://arxiv.org/abs/2511.13465.
Meng Zhu, Quan Xiao, Weidong Min*. Ada2MS: A Hybrid Optimization Algorithm Based on Exponential Mixing of Elementwise and Global Second-Moment Estimates. arXiv, 2026. URL https://arxiv.org/abs/2605.20533
Meng Zhu, Weidong Min*, Qing Han, et al. Dual-domain balanced channel-spatial mixed attention in convolutional neural networks. Neural Processing Letters, 2026, 58 (4): 48-63. DOI: 10.1007/s11063-026-11855-0
Li L, Han Q, Min W*, et al. Outliers Adaptation Exploration and Centroids Matching Label Refinement for Unsupervised Person Re-identification[J]. IEEE Transactions on Multimedia, 2026, 1-16. DOI: 10.1109/TMM.2026.3654461
Meng Zhu, Weidong Min*, Jiahao Li, et al. Constructing a smoothed Leaky ReLU using a linear combination of the smoothed ReLU and identity function. Neural Computing and Applications, 2025: 1-14. DOI: 10.1007/s00521-024-10935-3.
Meng Zhu, Weidong Min*, Qing Han, et al. ShuffleNeMt: Modern lightweight convolutional neural network architecture. Pattern Analysis and Applications, 2024, 27 (4): 123-134. DOI: 10.1007/s10044-024-01327-3.
Meng Zhu, Weidong Min*, Junwei Han, et al. Improved channel attention methods via hierarchical pooling and reducing information loss. Pattern Recognition, 2024, 148: 1-9. DOI: 10.1016/j.patcog.2023.110148.
Meng Zhu, Weidong Min*, Hongyue Xiang, et al. Spatial decomposition and aggregation for attention in convolutional neural networks. International Journal of Pattern Recognition and Artificial Intelligence, 2024, 38 (1): 1-15. DOI: 10.1142/S0218001423520195.
Hongyue Xiang, Weidong Min*, Qing Han, Cheng Zha, Qian Liu, Meng Zhu. Structure-aware multi-view image inpainting using dual consistency attention. Information Fusion, 2024, 104: 1-11. DOI: 10.1016/j.inffus.2023.102174.
Cheng Zha, Weidong Min*, Qing Han, Wei Li, Xin Xiong, Qi Wang, Meng Zhu. SAR ship localization method with denoising and feature refinement. Engineering Applications of Artificial Intelligence, 2023, 123: 1-13. DOI: 10.1016/j.engappai.2023.106444.
Qiyan Fu, Weidong Min*, Chubbo Li, Haoyu Zhao, Ye Cao, Meng Zhu. MSCNet: Dense vehicle counting method based on multi-scale dilated convolution channel-aware deep network. GeoInformatica, 2024, 28 (2): 245-269. DOI: 10.1007/s10707-023-00503-7.
Qi Wang, Weidong Min*, Qing Han, Ziyuan Yang, Xin Xiong, Meng Zhu, Haoyu Zhao. Viewpoint adaptation learning with cross-view distance metric for robust vehicle re-identification. Information Sciences, 2021, 564: 71-84. DOI: 10.1016/j.ins.2021.02.013.
Meng Zhu, Weidong Min*, Qi Wang, et al. PFLU and FPFLU: Two novel non-monotonic activation functions in convolutional neural networks. Neurocomputing, 2021, 429: 110-117. DOI: 10.1016/j.neucom.2020.11.068.
Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA, USA
Talk at London School of Testing, London, UK
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley, CA, USA
Talk at UC San Francisco, Department of Testing, San Francisco, CA, USA