2025年中国科学院文献情报中心期刊分区表于近日发布。Machine Intelligence Research (MIR)首次入选中科院期刊分区表计算机科学类二区(中科院期刊分区表二区标准:学科排名前6%-20%)!
自2022年来,MIR发展已初创佳绩:被ESCI、EI、Scopus 等 20 余数据库收录,入选中国科技期刊卓越行动计划二期项目,成功位列科睿唯安JCR排名一区,Scopus数据库最佳学科排名一区,中科院期刊分区二区。
在各位专家学者的大力支持下,MIR前景可待,未来可期!
下载量:17K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
https://www.mi-research.net/en/article/doi/10.1007/s11633-023-1459-z
中文导读:
金耀初团队&郑锋团队 | 综述: 深度工业图像异常检测
下载量:11K次
Large-scale Multi-modal Pre-trained Models: A Comprehensive Survey
Xiao Wang, Guangyao Chen, Guangwu Qian, Pengcheng Gao, Xiao-Yong Wei, Yaowei Wang, Yonghong Tian & Wen Gao
https://link.springer.com/article/10.1007/s11633-022-1410-8
https://www.mi-research.net/en/article/doi/10.1007/s11633-022-1410-8
中文导读:
下载量:11K次
YuNet: A Tiny Millisecond-level Face Detector
Wei Wu, Hanyang Peng & Shiqi Yu
https://link.springer.com/article/10.1007/s11633-023-1423-y
https://www.mi-research.net/en/article/doi/10.1007/s11633-023-1423-y
中文导读:
南科大于仕琪团队 | YuNet:一个速度为毫秒级的人脸检测器
下载量:8601次
VLP: A Survey on Vision-language Pre-training
Fei-Long Chen, Du-Zhen Zhang, Ming-Lun Han, Xiu-Yi Chen, Jing Shi, Shuang Xu & Bo Xu
https://link.springer.com/article/10.1007/s11633-022-1369-5
https://www.mi-research.net/en/article/doi/10.1007/s11633-022-1369-5
下载量:6250次
Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis
Kai Zhang, Yawei Li, Jingyun Liang, Jiezhang Cao, Yulun Zhang, Hao Tang, Deng-Ping Fan, Radu Timofte & Luc Van Gool
https://link.springer.com/article/10.1007/s11633-023-1466-0
https://www.mi-research.net/en/article/doi/10.1007/s11633-023-1466-0
中文导读:
Luc Van Gool团队 | 通过Swin-Conv-UNet和数据合成实现实用图像盲去噪
下载量:5919次
AI in Human-computer Gaming: Techniques, Challenges and Opportunities
Qi-Yue Yin, Jun Yang, Kai-Qi Huang, Mei-Jing Zhao, Wan-Cheng Ni, Bin Liang, Yan Huang, Shu Wu & Liang Wang
https://link.springer.com/article/10.1007/s11633-022-1384-6
https://www.mi-research.net/en/article/doi/10.1007/s11633-022-1384-6
中文导读:
自动化所黄凯奇团队·综述 | 人机对抗智能:技术、挑战和机遇
下载量:5281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 & Liang Wang
https://link.springer.com/article/10.1007/s11633-023-1454-4
https://www.mi-research.net/en/article/doi/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
下载量:5111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
https://www.mi-research.net/en/article/doi/10.1007/s11633-023-1457-1
下载量:5109次
Federated Learning with Privacy-preserving and Model IP-right-protection
Qiang Yang, Anbu Huang, Lixin Fan, Chee Seng Chan, Jian Han Lim, Kam Woh Ng, Ding Sheng Ong & Bowen Li
https://link.springer.com/article/10.1007/s11633-022-1343-2
https://www.mi-research.net/en/article/doi/10.1007/s11633-022-1343-2
中文导读:
港科大杨强团队 | 综述: 联邦学习的隐私保护与模型的知识产权保护
下载量:4567次
Federated Learning on Multimodal Data: A Comprehensive Survey
Yi-Ming Lin, Yuan Gao, Mao-Guo Gong, Si-Jia Zhang, Yuan-Qiao Zhang & Zhi-Yuan Li
https://link.springer.com/article/10.1007/s11633-022-1398-0
https://www.mi-research.net/en/article/doi/10.1007/s11633-022-1398-0
中文导读:
西电公茂果团队 | 综述: 多模态数据的联邦学习
关于Machine Intelligence Research
Machine Intelligence Research(简称MIR,原刊名International Journal of Automation and Computing)由中国科学院自动化研究所主办,于2022年正式出版。MIR立足国内、面向全球,着眼于服务国家战略需求,刊发机器智能领域最新原创研究性论文、综述、评论等,全面报道国际机器智能领域的基础理论和前沿创新研究成果,促进国际学术交流与学科发展,服务国家人工智能科技进步。期刊入选"中国科技期刊卓越行动计划",已被ESCI、EI、Scopus、中国科技核心期刊、CSCD等20余家国际数据库收录,入选图像图形领域期刊分级目录-T2级知名期刊。2022年首个CiteScore分值在计算机科学、工程、数学三大领域的八个子方向排名均跻身Q1区,最佳排名挺进Top 4%,2023年CiteScore分值继续跻身Q1区。2024年获得首个影响因子(IF) 6.4,位列人工智能及自动化&控制系统两个领域JCR Q1区。
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