雜志介紹

Machine Intelligence Research雜志介紹

《Machine Intelligence Research》是一(yi)本以(yi)English為(wei)主的(de)未開放獲取(qu)國際優秀期刊(kan)，中文名稱機(ji)器智能研究，本刊(kan)主要(yao)出版、報道計算機(ji)科(ke)學-AUTOMATION & CONTROL SYSTEMS領域(yu)的(de)研究動(dong)態以(yi)及在該(gai)(gai)(gai)領域(yu)取(qu)得(de)的(de)各方面的(de)經(jing)驗和科(ke)研成果，介紹(shao)該(gai)(gai)(gai)領域(yu)有關本專(zhuan)業(ye)的(de)最新(xin)(xin)進展，探討行業(ye)發展的(de)思路和方法，以(yi)促進學術信息交(jiao)流，提高行業(ye)發展。該(gai)(gai)(gai)刊(kan)已被國際權威數(shu)據庫SCIE收(shou)錄，為(wei)該(gai)(gai)(gai)領域(yu)相關學科(ke)的(de)發展起(qi)到了良好的(de)推動(dong)作(zuo)用(yong)，也得(de)到了本專(zhuan)業(ye)人員(yuan)的(de)廣泛(fan)認(ren)可(ke)。該(gai)(gai)(gai)刊(kan)最新(xin)(xin)影響因(yin)子為(wei)6.4，最新(xin)(xin)CiteScore 指數(shu)為(wei)6.7。

本刊近期中國(guo)學者發表的(de)論文主要有：

• YuNet: A Tiny Millisecond-level Face Detector

  Author: Wu, Wei; Peng, Hanyang; Yu, Shiqi

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

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

• AI in Human-computer Gaming: Techniques, Challenges and Opportunities

  Author: Yin, Qi-Yue; Yang, Jun; Huang, Kai-Qi; Zhao, Mei-Jing; Ni, Wan-Cheng; Liang, Bin; Huang, Yan; Wu, Shu; Wang, Liang

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

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

英文介紹

Machine Intelligence Research雜志英文介紹

Machine Intelligence Research, as an academic journal dedicated to promoting the development of the field of machine intelligence, reflects a positive response to national strategic needs and an open attitude towards global academic perspectives. This journal not only provides a platform for domestic and foreign researchers to showcase the latest research results, but also promotes academic exchanges and technological progress in key fields such as machine learning, deep learning, natural language processing, and computer vision by publishing high-quality original papers, reviews, and comments.

The publication content of the journal not only covers the basic theories of machine intelligence, but also pays special attention to cutting-edge innovations in this field, such as intelligent algorithms, big data processing, machine perception and cognition, etc. Through in-depth exploration of these contents, the journal aims to provide theoretical support and practical guidance for the technological progress of artificial intelligence, while also providing decision-making references and research perspectives for policy makers, industry experts, and academic researchers.