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LBSocial

Xuebin Wei

Xuebin Wei

管理員

Founder and Instructor

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個人檔案

加入日期: 2024年2月14日

關於

Dr. Xuebin Wei is an AWS Academy Certified Educator with a Ph.D. in Geography from the University of Georgia. He specializes in cloud computing, data science, and geographic information systems (GIS), and is committed to transforming how data and AI are taught and applied in education.


Dr. Wei has developed a series of cloud-based technology courses that promote hands-on, inclusive learning and prepare students for future careers in data-driven fields. His teaching spans machine learning, big data analytics, cloud infrastructure, and social media analysis, with a focus on real-world applications and workforce readiness.


He is the first author of the textbook Social Data Analytics in the Cloud with AI (CRC Press), which introduces students and professionals to AI-assisted data pipelines using cloud platforms. The book covers essential skills in data collection, storage, querying, and visualization using cloud and generative AI tools.

book
Social Data Analytics in the Cloud with AI

In recognition of his innovation in teaching, Dr. Wei was selected as a Faculty Ambassador for the AWS Educate Program and received the JMU Excellence in Teaching & Learning with Technology Award in 2019. Through LBSocial LLC, he continues to lead efforts in AI-powered education and consulting for institutions adopting next-generation learning technologies.


AWS Faculty Ambassador
AWS Faculty Ambassador
Excellence in Teaching & Learning with Technology
Excellence in Teaching & Learning with Technology


文章 (14)

2026年6月7日10 分鐘
OpenClaw & n8n社交媒体自动化:带人工审批的发布流
在本教程中,我们将构建一个实用的工作流:让 AI 接管起草社交媒体文案的重复性工作,同时通过简单的 Telegram 审批,让你牢牢掌控最终的发布决定权。

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2026年5月30日5 分鐘
如何在 Codespaces 中零成本部署 OpenClaw 并配置 Tailscale 安全访问
本文详细介绍了如何以零成本或极低成本搭建 OpenClaw AI 代理的云端运行环境。本教程演示了如何利用免费的 GitHub Codespaces 作为云端服务器、安装 OpenClaw,并使用 Gemini 免费额度或 ChatGPT Plus 的 Codex 额度来为其提供模型支持。最后,指南还解释了如何使用 Tailscale 配置安全的私有网络访问。这让您可以在本地稳定地管理 OpenClaw 仪表盘,为未来复杂的 AI 工作流自动化打下坚实的基础

19
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2026年5月22日8 分鐘
OpenClaw + MCP + Neo4j 实战:为 AI 智能体接入 YouTube GraphRAG 知识库
学习如何通过自定义的 MCP (模型上下文协议) 服务器,将 OpenClaw AI 智能体与现有的 Neo4j 知识图谱连接起来。本期分步教程涵盖了在谷歌云 (Google Cloud VM) 上部署 stdio MCP 服务器、配置 Gemini 嵌入模型以进行语义向量检索、初始化 Neo4j 向量索引,以及实现工具路由自动化的完整流程。探索如何将自然语言查询转化为结构化的学习路径,并直接通过 Telegram 推送视频推荐。

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