Call for Tracks | 专题征稿

10th International Conference on Artificial Intelligence and Big Data (ICAIBD) invites proposals for special tracks. A special track provides a forum for focused discussion on a specific topic within the broad areas of artificial intelligence and big data. Track chairs are responsible for soliciting submissions, organizing the review process, and chairing the track sessions at the conference.

第十届人工智能与大数据国际会议(ICAIBD)现公开征集专题(Special Tracks)。专题旨在为人工智能与大数据领域的特定研究方向提供深入的交流平台。专题负责人(Track Chair)将负责征集稿件、组织审稿,并在会议期间主持本专题的分论坛。

How to Propose a Track 专题提交方式

  • Prepare a brief proposal including the track title, scope, and a short bio of the track chairs.
  • Send your proposal to the conference secretariat at icaibd@young.ac.cn.
  • The ICAIBD 2027 track list will be announced in due course. A few past tracks are listed below as examples.

Example Tracks | 专题示例

Track 1: AI-Empowered Cybersecurity and Intelligent Image Processing | AI赋能的网络安全与智能图像处理

  • Chair: Lipeng Xie (谢李鹏), School of Cyber Science and Engineering, Zhengzhou University
    郑州大学网络空间安全学院副教授、硕士生导师

Track 1 聚焦人工智能赋能的网络安全与智能图像处理前沿研究,涵盖 AI 安全、计算机视觉、医学影像处理与分析、联邦学习等方向,旨在为相关领域的学者与产业界搭建高水平交流平台。

Track 1 focuses on cutting-edge research in AI-empowered cybersecurity and intelligent image processing, covering AI Security, Computer Vision, Medical Image Processing and Analysis, Federated Learning, etc., aiming to build a high-level communication platform for scholars and industry in related fields.

  • 人工智能 / Artificial Intelligence
  • AI安全 / AI Security
  • 计算机视觉 / Computer Vision
  • 医学影像处理与分析 / Medical Image Processing and Analysis
  • 联邦学习 / Federated Learning

View Track Details 查看专题详情 →

Track 2: Big Data Analytics and Management | 大数据分析与处理

Focuses on theories, models, and systems for collecting, storing, analyzing, and managing large-scale data, as well as real-world applications across industries.

聚焦大规模数据的采集、存储、分析与管理相关的理论、模型与系统,及其在各行业中的实际应用。

Track 3: Machine Learning and Intelligent Systems | 机器学习与智能系统

Covers machine learning algorithms, deep learning, and the design of intelligent systems that perceive, reason, and act in complex environments.

涵盖机器学习算法、深度学习,以及在复杂环境中具备感知、推理与执行能力的智能系统设计。

Track 4: Computer Vision and Pattern Recognition | 计算机视觉与模式识别

Addresses image and video analysis, object detection and recognition, and pattern recognition methods for intelligent perception.

关注图像与视频分析、目标检测与识别,以及面向智能感知的模式识别方法。

More tracks for ICAIBD 2027 will be announced progressively. Please stay tuned, and feel free to contact the secretariat for track proposals.
更多 ICAIBD 2027 专题将陆续公布,敬请关注;如有专题合作意向,欢迎联系会务组。

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