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JCST CFP: Special Section on "AI4DB and DB4AI"

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Call For Papers

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Journal of Computer Science and Technology (JCST, IF: 1.506)

Call for Papers --- Special Section on “AI4DB and DB4AI"

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AIMS AND SCOPE

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Database and Artificial Intelligence (AI) can benefit from each other. On one hand, AI can make database more intelligent (AI4DB). For example, traditional empirical database optimization techniques (e.g., cost estimation, join order selection, knob tuning, index and view selection) cannot meet the high-performance requirement for large-scale database instances, various applications and diversified users, especially on the cloud. Fortunately, learning-based techniques can alleviate this problem. On the other hand, database techniques can optimize AI models (DB4AI). For example, AI is hard to deploy in real applications, because it requires developers to write complex codes and train complicated models. Database techniques can be used to reduce the complexity of using AI models, accelerate AI algorithms and provide AI capability inside databases. Thus it calls for theories, techniques, and systems for AI4DB and DB4AI.

This special section of JCST journal papers will focus on new technologies and solutions related, but not limited to:

  • Learning-based Database Configuration
  • Learning-based Database Optimization
  • Learning-based Database Design
  • Learning-based Database Monitoring
  • Learning-based Database Security
  • AI Model Management
  • Model Training and inference inside DB
  • DB&AI Co-optimization

SCHEDULE

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  • Manuscript Submission: February 1, 2021
  • First Revision/Reject Notification: March 15, 2021
  • Revision due of revised papers: May 1, 2021
  • Final Decision: May 15, 2021
  • Camera-Ready: May 31, 2021
  • Publication: July 2021

SUBMISSION PROCEDURE

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All submissions must be done electronically through JCST's e-submission system at:

https://mc03.manuscriptcentral.com/jcst

with a manuscript type: "Special Section on AI4DB and DB4AI".

LEADING EDITOR

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- Guoliang Li (Tsinghua University, China)

GUEST EDITORS

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- Dong Deng (Rutgers University, USA)

- Ju Fan (Renmin University, China)