Yachao Cui

Yachao Cui

Qinghai University

👋 About Me

Hi! I’m Yachao Cui, a Lecturer at the School of Computer Science, Qinghai University.
My research interests lie in Artificial Intelligence, Personalized Recommendation, Knowledge Graphs, and Sentiment Analysis.
I received both my M.Eng. and Ph.D. degrees from Shaanxi Normal University, and my recent work focuses on explainable recommendation enhanced by knowledge graphs and large language models.

📍 Xining, Qinghai Province, China
📧 Email: yachaocui@qhu.edu.cn
🌐 Homepage: https://yachaocui.github.io
💻 GitHub: https://github.com/yachaocui

🎓 Education

  • Ph.D. in Computer Science, Shaanxi Normal University, 2020 – 2024
  • M.Eng. in Computer Science, Shaanxi Normal University, 2014 – 2016

🔬 Research Interests

  • Artificial Intelligence
  • Personalized Recommendation Systems
  • Knowledge Graphs
  • Sentiment Analysis

👨‍🏫 Teaching

  • C Programming Language
  • Fundamentals of Programming
  • Introduction to Artificial Intelligence

📝 Selected Publications

  • Yachao Cui, Kaiguang Wang, Hongli Yu, Xiaoxu Guo, Han Cao.
    *KLLMs4Rec: Knowledge graph-enhanced LLMs sentiment extraction for personalized recommendations.
    Expert Systems with Applications, 2025, 282: 127430. (SCI Q1, Top)

  • Yachao Cui, Hongli Yu, Xiaoxu Guo, Han Cao, Lei Wang.
    *RAKCR: Reviews sentiment-aware based knowledge graph convolutional networks for personalized recommendation.
    Expert Systems with Applications, 2024, 248: 123403. (SCI Q1, Top)

  • Yachao Cui, Peng Zhou, Hongli Yu, Pengfei Sun, Han Cao, Pei Yang.
    ASKAT: Aspect sentiment knowledge graph attention network for recommendation.
    Electronics, 2024, 13(1): 216. (SCI Q4)

  • Peng Zhou, Yachao Cui, Xiaoxu Guo, Jiabing Wei, Han Cao.
    Phase-wise attention GCN for recommendation denoising.
    Applied Soft Computing, 2024, 163: 111910. (SCI Q2, Top)

  • Peng Zhou, Yachao Cui, Han Cao.
    A Power Method to Alleviate Over-smoothing for Recommendation.
    Proceedings of CIKM 2024, pp. 3484–3493. (CCF B)

  • Xuechao Zou, Kai Li, Junliang Xing, Pin Tao, Yachao Cui.
    PMAA: A progressive multi-scale attention autoencoder model for high-performance cloud removal from multi-temporal satellite imagery.
    ECAI 2023, pp. 3165–3172. (CCF B)

💡 Research Projects

  • 2025–2026 (PI) — Open Project, Qinghai Green Computing Engineering Technology Research Center
    “Domain-specific Large Model Construction and Green Inference Optimization for Multi-ethnic Cultural Tourism Recommendation in Qinghai”

  • 2025–2026 (PI) — Open Project, Qinghai Intelligent Computing and Application Laboratory
    “Knowledge Graph and Intelligent Recommendation for Sanjiangyuan Ecological Protection Based on Large Models”

  • 2019–2021 (PI) — Youth Science Fund, Qinghai University
    “Grass Yield Estimation in Alpine Pasture based on Multi-source Remote Sensing”

  • 2025–2027 (Co-PI) — Strengthening Scientific Research Program, Qinghai University
    “Key Technologies for Multi-modal Tibetan Medicine Large Model Intelligent Platform”

  • 2025–2027 (Co-PI) — Strengthening Scientific Research Program, Qinghai University
    “Optimization of Sky Survey Strategy and Real-time Astronomical Image Processing”

  • 2019–2023 (Participant) — National Natural Science Foundation of China
    “3D Scene Reconstruction and Analysis for Intelligent Robot Perception”

⭐ Feel free to check out my GitHub or Google Scholar for more publications and project updates!