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MIR高下载Top文章集锦（2024-2025年）
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继上周MIR发布2024-2025年高被引Top10文章榜单，本周接续推出高下载文章Top15。其中有8篇文章同时入选两大榜单，兼具学术影响力与读者关注度，欢迎阅读、关注。如需纸质期刊，可在文末登记收件地址，编辑部将为您免费赠阅。
01下载量：31000次
Deep Industrial Image Anomaly Detection: A Survey
Jiaqi Liu, Guoyang Xie, Jinbao Wang, Shangnian Li, Chengjie Wang, Feng Zheng & Yaochu Jin
https://link.springer.com/article/10.1007/s11633-023-1459-z
中文导读：
02下载量：6774次
Distributed Deep Reinforcement Learning: A Survey and a Multi-player Multi-agent Learning Toolbox
Qiyue Yin, Tongtong Yu, Shengqi Shen, Jun Yang, Meijing Zhao, Wancheng Ni, Kaiqi Huang, Bin Liang
https://link.springer.com/article/10.1007/s11633-023-1454-4
中文导读：
自动化所黄凯奇团队 | 分布式深度强化学习：综述与多玩家多智能体学习工具箱
03下载量：6480次
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability
Enyan Dai, Tianxiang Zhao, Huaisheng Zhu, Junjie Xu, Zhimeng Guo, Hui Liu, Jiliang Tang & Suhang Wang
https://link.springer.com/article/10.1007/s11633-024-1510-8
中文导读：
04下载量：6066次
Exploring Variational Auto-encoder Architectures, Configurations, and Datasets for Generative Music Explainable AI
Nick Bryan-Kinns, Bingyuan Zhang, Songyan Zhao & Berker Banar
https://link.springer.com/article/10.1007/s11633-023-1457-1
当期专题目录：
05下载量：5917次
Multimodal Fusion of Brain Imaging Data: Methods and Applications
Na Luo, Weiyang Shi, Zhengyi Yang, Ming Song & Tianzi Jiang
https://link.springer.com/article/10.1007/s11633-023-1442-8
中文导读：
欧洲科学院院士蒋田仔团队 | 脑成像数据的多模态融合: 方法与应用
06下载量：5743次
Automation and Orchestration of Zero Trust Architecture: Potential Solutions and Challenges
Yang Cao, Shiva Raj Pokhrel, Ye Zhu, Robin Doss & Gang Li
https://link.springer.com/article/10.1007/s11633-023-1456-2
中文导读：
精选综述 | 零信任架构的自动化和编排: 潜在解决方案与挑战
07下载量：4858次
Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications
Wei Ji, Jingjing Li, Qi Bi, Tingwei Liu, Wenbo Li & Li Cheng
https://link.springer.com/article/10.1007/s11633-023-1385-0
中文导读：
前沿观点 | Segment Anything并非一直完美: SAM模型在不同真实场景中的应用调查
08下载量：4401次
Assessing and Understanding Creativity in Large Language Models
Yunpu Zhao, Rui Zhang, Wenyi Li & Ling Li
https://link.springer.com/article/10.1007/s11633-025-1546-4
中文导读：
09下载量：4058次
A Survey of Embodied Learning for Object-centric Robotic Manipulation
Ying Zheng, Lei Yao, Yuejiao Su, Yi Zhang, Yi Wang, Sicheng Zhao, Yiyi Zhang & Lap-Pui Chau
https://link.springer.com/article/10.1007/s11633-025-1542-8
中文导读：
香港理工大学周立培团队等 | 综述: 面向以物体为中心的机器人操作的具身学习
10下载量：3937次
Counterfactual Learning on Graphs: A Survey
Zhimeng Guo, Zongyu Wu, Teng Xiao, Charu Aggarwal, Hui Liu & Suhang Wang
https://link.springer.com/article/10.1007/s11633-024-1519-z
中文导读：
11下载量：3853次
MOSS: An Open Conversational Large Language Model
Tianxiang Sun, Xiaotian Zhang, Zhengfu He, Peng Li, Qinyuan Cheng, Xiangyang Liu, Hang Yan, Yunfan Shao, Qiong Tang, Shiduo Zhang, Xingjian Zhao, Ke Chen, Yining Zheng, Zhejian Zhou, Ruixiao Li, Jun Zhan, Yunhua Zhou, Linyang Li, Xiaogui Yang, Lingling Wu, Zhangyue Yin, Xuanjing Huang, Yu-Gang Jiang & Xipeng Qiu
https://link.springer.com/article/10.1007/s11633-024-1502-8
中文导读：
12下载量：3847次
Vision Transformers with Hierarchical Attention
Yun Liu, Yu-Huan Wu, Guolei Sun, Le Zhang, Ajad Chhatkuli & Luc Van Gool
https://link.springer.com/article/10.1007/s11633-024-1393-8
中文导读：
专题好文 | Luc Van Gool团队: 基于分层注意力的视觉Transformer
13下载量：3757次
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li & Jun Zhu
https://link.springer.com/article/10.1007/s11633-025-1562-4
中文导读：
清华大学朱军团队 | DPM-Solver++：用于扩散概率模型引导采样的快速求解器
14下载量：3628次
Key Technologies for Machine Vision for Picking Robots: Review and Benchmarking
Xu Xiao, Yiming Jiang & Yaonan Wang
https://link.springer.com/article/10.1007/s11633-024-1517-1
中文导读：
王耀南院士团队 | 采摘机器人机器视觉的关键技术：综述与基准测试
15下载量：2814次
Ripple Knowledge Graph Convolutional Networks for Recommendation Systems
Chen Li, Yang Cao, Ye Zhu, Debo Cheng, Chengyuan Li & Yasuhiko Morimoto
https://link.springer.com/article/10.1007/s11633-023-1440-x
中文导读：
* 以上下载数据基于Springer主页统计，统计截止时间为2026年3月9日。
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