👨‍🎓 Qimin Zhou (周奇民)

Ph.D. Candidate, Beijing University of Posts and Telecommunications.
Email: zhouqimin@bupt.edu.cn. Google Scholar

🧠 My research interests include:

-Graph Foundation Models -Riemannian Geometry -LLMs -Embodied AI

## 🔥 News

• 2025.07:  🎉🎉 Congratulations to Qimin Zhou! His paper “Pearson Correlation Coefficient-Guided Large-Scale Fuzzy Cognitive Maps Learning Algorithm” has been accepted by Fuzzy Sets and Systems, a top-tier journal in SCI Q1.

🎓 Education

• Ph.D. in Computer Science, Beijing University of Posts and Telecommunications, 2024.09–2028.07
  Advised by Prof. Chuan ShiHomePage(BUPT), co-mentored by Dr. Li Sun (NCEPU), Dr. Philip S. Yu (UIC), and Dr. Cheng Yang (BUPT).

• M.Sc. in Computational Mathematics, Xi’an Polytechnic University, 2021.09–2024.07
  Advised by Prof. Yingcang Ma, recipient of Graduate Excellence Award.

• B.Sc. in Information and Computing Science, Xi’an Polytechnic University, 2017.09–2021.07
  GPA: 3.72/4.0, ranked 3/61, awarded Provincial Excellent Graduate.

📝 Selected Publications

• Harnessing Language Model for Cross-Heterogeneity Graph Knowledge Transfer
  Proceedings of AAAI 2025 (CCF-A)
  Y. Jiang, R. Wang, C. Yang, B. Yan, Q. Zhou, Y. Juan, C. Shi

• Sparse Large-Scale High-Order Fuzzy Cognitive Maps Guided by Spearman Correlation Coefficient
  Applied Soft Computing, Vol. 167, 2024, 112253. (SCI 1区 Top)

• A Comprehensive Framework for Designing and Learning Fuzzy Cognitive Maps at the Granular Level
  Applied Soft Computing, Vol. 158, 2024, 111601. (SCI 1区 Top)

• Sparse and Regression Learning of Large-Scale Fuzzy Cognitive Maps Based on Adaptive Loss Function
  Applied Intelligence, Vol. 54(3), 2024, 2750–2766. (SCI 2区)

• Pearson Correlation Coefficient-Guided Large-Scale Fuzzy Cognitive Maps Learning Algorithm
  Fuzzy Sets and Systems, Accepted, 2025. (SCI 1区 Top)

Full Publication List →

💻 Internships

• Algorithm Engineer, Anhui Digital Intelligence Institute — 2023.08–09
  Cement blending optimization using ortools, data cleaning, free calcium prediction with SVM and Lasso.

• Algorithm Engineer, Mech-Mind Robotics — 2023.02–04
  Robotic arm calibration and trajectory optimization using Python, C++, and 3D transformations.

• Algorithm Engineer, Beijing Wanwang Technology — 2021.07–09
  Anomaly detection in Benz production lines with RNN/LSTM, simulation modeling.

• Java Developer Engineer, Guoyan Software — 2020.07–09
  Designed interfaces for resident opinion classification in smart city system.

🏅 Honors & Awards

• Outstanding Graduate, Xi’an Polytechnic University, 2024
• National Encouragement Scholarship, 2017–2018
• First Prize, National Mathematical Modeling Contest, Shaanxi Province
• Third Prize, National Undergraduate Math Competition (2018 & 2019)
• Special Prize, Innovation Achievement Contest, 2024
• Dozens of scholarships during undergraduate and graduate studies

📌 Projects & Patents

• Graph Neural Network with PyG: Practical GNN project implementation and improvement on A100 GPUs
• Multi-functional Bi-directional Electronic Pen: 1st inventor, utility patent
• Matlab/Python implementations: fuzzy clustering, online AQP-FCM, compressive strength prediction
• Student Management System: HTML frontend with MySQL backend
• Software Copyright: Environment design tool (5th inventor)

🎨 Interests & Skills

• Poetry & Music — Original compositions and lyrics
• Strong coding in Python, MATLAB; can read C/C++/Java
• Experienced with Git, Linux, and algorithm engineering
• Passionate about scientific innovation, teamwork, and interdisciplinary research

📚 Memberships

• Student Member, Chinese Association for Artificial Intelligence
• Reviewer, Knowledge-Based Systems
• Participant in four funded projects:
  • National Natural Science Foundation of China
  • Shaanxi Key R&D Program
  • Shaanxi Natural Science Fund
  • Foreign Experts Program, China

Last updated: July 2025