👤 个人信息

• 2025级 图书情报，硕士研究生
• 石河子大学信息科学与技术学院 文档分析与模式识别实验室

🔬 研究方向

• 复杂网络社团检测

本方向致力于探索复杂网络在时间演变过程中的规律。研究采用时间平滑与网络嵌入框架，对网络中节点与边随时间的细微变化进行平滑处理，从而捕捉动态演化的内在趋势和潜在结构。该方法不仅能揭示隐藏在数据背后的演化机制，还为理解复杂系统提供了新视角，展示出在实际应用中的广泛潜力。

关键词：动态社团检测、网络嵌入、时间平滑框架

📄 学术动态

Journal Articles

• Temporal Community Detection and Analysis with Network Embeddings Advances in Trustworthy and Robust Artificial Intelligence, 2025

  This paper proposes TCDA‑NE, a novel TCD algorithm that combines evolutionary clustering with convex non‑negative matrix factorization (Convex‑NMF). Download Paper

Conference Papers

• DCNMF: Dynamic Community Discovery with Improved Convex‑NMF in Temporal Networks International Conference on Collaborative Computing: Networking, Applications and Worksharing, 2022

  This paper presents DCNMF, a dynamic community discovery method using an improved Convex‑NMF approach in temporal networks. Download Paper

• Temporal Smoothness Framework: Analyzing and Exploring Evolutionary Transition Behavior in Dynamic Networks 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI), 2021

  This paper presents a temporal smoothness framework to analyze and explore the evolutionary transition behavior in dynamic networks. Download Paper

🏆 荣誉奖项

• 石河子大学信息科学与技术学院优秀毕业设计