qingsongedu/awesome-AI-for-time-series-papers

• highreadme#1

  Reposition the README's opening sentence to explicitly state 'awesome list'

  原因：

  当前

  A professionally curated list of papers (with available code), tutorials, and surveys on recent **AI for Time Series Analysis (AI4TS)**, including Time Series, Spatio-Temporal Data, Event Data, Sequence Data, Temporal Point Processes, etc., at the **Top AI Conferences and Journals**, which is **updated ASAP (the earliest time)** once the accepted papers are announced in the corresponding top AI conferences/journals.

  复制粘贴的修复

  复制

  This is an **awesome list** of professionally curated papers (with available code), tutorials, and surveys on recent **AI for Time Series Analysis (AI4TS)**, including Time Series, Spatio-Temporal Data, Event Data, Sequence Data, Temporal Point Processes, etc., at the **Top AI Conferences and Journals**. It is **updated ASAP (the earliest time)** once accepted papers are announced in corresponding top AI conferences/journals.

  待办完成忽略
• mediumhomepage#2

  Add a homepage URL to the repository's 'About' section

  原因：

  复制粘贴的修复

  复制

  https://github.com/qingsongedu/awesome-AI-for-time-series-papers

  待办完成忽略
• lowreadme#3

  Add a 'Why this Awesome List?' section to the README

  原因：

  复制粘贴的修复

  复制

  ## Why this Awesome List?
  
  Unlike general search engines or broad platforms, this list offers a **professionally curated and focused collection** of research papers, tutorials, and surveys specifically on AI for Time Series Analysis. It prioritizes papers from **top AI conferences and journals**, is **regularly updated**, and often includes **available code**, saving researchers and engineers significant time in discovering high-quality, relevant resources.

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  Where can I find a comprehensive list of recent AI research for time series?

  你：未被推荐
  AI 推荐顺序：

  1. Papers With Code
  2. arXiv
  3. Google Scholar
  4. AI-Index
  5. The Batch by DeepLearning.AI
  6. Kaggle
  7. GitHub

  AI 推荐了 7 个替代方案，却始终没点名 qingsongedu/awesome-AI-for-time-series-papers。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  Seeking tutorials and surveys on advanced AI techniques for time series prediction.

  你：未被推荐
  AI 推荐顺序：

  1. TensorFlow
  2. Keras
  3. Kaggle

  AI 推荐了 3 个替代方案，却始终没点名 qingsongedu/awesome-AI-for-time-series-papers。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  warn

  建议：

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of qingsongedu/awesome-AI-for-time-series-papers?

  pass
  ⚠AI 未点名 qingsongedu/awesome-AI-for-time-series-papers —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts qingsongedu/awesome-AI-for-time-series-papers in production, what risks or prerequisites should they evaluate first?

  pass
  ⚠AI 未点名 qingsongedu/awesome-AI-for-time-series-papers —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo qingsongedu/awesome-AI-for-time-series-papers solve, and who is the primary audience?

  pass
  ⚠AI 未点名 qingsongedu/awesome-AI-for-time-series-papers —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？