Machine Intelligence Research

目录

Vol.20, No.3

MIR第三期已于6月正式出版，来自帝国理工学院、苏黎世联邦理工大学、香港中文大学、浙江大学、南京航空航天大学、中国科学院自动化所、北京科技大学、湖南大学的学者们带来了人机对抗智能、边缘智能、掩码图像重建、强化学习等前沿内容，全文免费下载，欢迎阅读！

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 

A Survey on Recent Advances and Challenges in Reinforcement Learning Methods for Task-oriented Dialogue Policy Learning

Wai-Chung Kwan, Hong-Ru Wang, Hui-Min Wang, Kam-Fai Wong

https://link.springer.com/article/10.1007/s11633-022-1347-y

https://www.mi-research.net/en/article/doi/10.1007/s11633-022-1347-y

中文导读：

港中文黄锦辉团队 | 综述: 任务型对话对话策略学习的强化学习方法

Deep Learning-based Moving Object Segmentation: Recent Progress and Research Prospects

Rui Jiang, Ruixiang Zhu, Hu Su, Yinlin Li, Yuan Xie, Wei Zou

https://link.springer.com/article/10.1007/s11633-022-1378-4

https://www.mi-research.net/en/article/doi/10.1007/s11633-022-1378-4

A Survey on Collaborative DNN Inference for Edge Intelligence

Wei-Qing Ren, Yu-Ben Qu, Chao Dong, Yu-Qian Jing, Hao Sun, Qi-Hui Wu, Song Guo

https://link.springer.com/article/10.1007/s11633-022-1391-7

https://www.mi-research.net/en/article/doi/10.1007/s11633-022-1391-7

Dynamic Movement Primitives Based Robot Skills Learning

Ling-Huan Kong, Wei He, Wen-Shi Chen, Hui Zhang, Yao-Nan Wang

https://link.springer.com/article/10.1007/s11633-022-1346-z

https://www.mi-research.net/en/article/doi/10.1007/s11633-022-1346-z

Robust Local Light Field Synthesis via Occlusion-aware Sampling and Deep Visual Feature Fusion

Wenpeng Xing, Jie Chen, Yike Guo

https://link.springer.com/article/10.1007/s11633-022-1381-9

https://www.mi-research.net/en/article/doi/10.1007/s11633-022-1381-9

Masked Vision-language Transformer in Fashion

Ge-Peng Ji, Mingchen Zhuge, Dehong Gao, Deng-Ping Fan, Christos Sakaridis, Luc Van Gool

https://link.springer.com/article/10.1007/s11633-022-1394-4

https://www.mi-research.net/en/article/doi/10.1007/s11633-022-1394-4

中文导读：

ETHZ最新成果 | 时尚领域中的掩码视觉-语言Transformer模型

Symmetric-threshold ReLU for Fast and Nearly Lossless ANN-SNN Conversion

Jianing Han, Ziming Wang, Jiangrong Shen, Huajin Tang

https://link.springer.com/article/10.1007/s11633-022-1388-2

https://www.mi-research.net/en/article/doi/10.1007/s11633-022-1388-2

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Machine Intelligence Research

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∨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等数据库收录。