雜志介紹

Acm Transactions On Intelligent Systems And Technology雜志介紹

《Acm Transactions On Intelligent Systems And Technology》是一本以English為主的未開放獲取國際優(yōu)秀期刊，中文名稱Acm 智能系統(tǒng)和技術交易，本刊主要出版、報道計算機科學-COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE領域的研究動態(tài)以及在該領域取得的各方面的經(jīng)驗和科研成果，介紹該領域有關本專業(yè)的最新進展，探討行業(yè)發(fā)展的思路和方法，以促進學術信息交流，提高行業(yè)發(fā)展。該刊已被國際權威數(shù)據(jù)庫SCIE收錄，為該領域相關學科的發(fā)展起到了良好的推動作用，也得到了本專業(yè)人員的廣泛認可。該刊最新影響因子為7.2，最新CiteScore 指數(shù)為9.3。

本刊近期中國學者發(fā)表的論文主要有：

• No Free Lunch Theorem for Security and Utility in Federated Learning

  Author: Zhang, Xiaojin; Gu, Hanlin; Fan, Lixin; Chen, Kai; Yang, Qiang

• Self-supervised Discriminative Representation Learning by Fuzzy Autoencoder

  Author: Yang, Wenlu; Wang, Hongjun; Zhang, Yinghui; Liu, Zehao; Li, Tianrui

• A Query Optimizer for Range Queries over Multi-Attribute Trajectories

  Author: Xu, Jianqiu; Lu, Hua; Bao, Zhifeng

• Decentralized Online Learning: Take Benefits from Others' Data without Sharing Your Own to Track Global Trend

  Author: Wu, Wendi; Li, Zongren; Zhao, Yawei; Yu, Chen; Zhao, Peilin; Liu, Ji; He, Kunlun

英文介紹

Acm Transactions On Intelligent Systems And Technology雜志英文介紹

ACM Transactions on Intelligent Systems and Technology is a scholarly journal that publishes the highest quality papers on intelligent systems, applicable algorithms and technology with a multi-disciplinary perspective. An intelligent system is one that uses artificial intelligence (AI) techniques to offer important services (e.g., as a component of a larger system) to allow integrated systems to perceive, reason, learn, and act intelligently in the real world.

ACM TIST is published quarterly (six issues a year). Each issue has 8-11 regular papers, with around 20 published journal pages or 10,000 words per paper. Additional references, proofs, graphs or detailed experiment results can be submitted as a separate appendix, while excessively lengthy papers will be rejected automatically. Authors can include online-only appendices for additional content of their published papers and are encouraged to share their code and/or data with other readers.