Jiajie Yin is a Master’s student in Computer Science and Technology at Huazhong University of Science and Technology (HUST), supervised by Prof. Yixue Hao. He received his B.Sc. in Data Science from Beijing Normal University (BNU) in 2025. Jiajie demonstrated strong research capabilities early in his career, publishing works in top-tier journals such as IEEE IoT-J and IEEE TCE. He is passionate about designing decision intelligence algorithms to solve complex problems in real-world systems.

My research interests include multi-agent systems, reinforcement learning, decision intelligence, and edge computing.

Education and Experience

• Huazhong University of Science and Technology (Sep 2025 - Present)
  • M.Sc. in Computer Science and Technology, supervised by Prof. Yixue Hao
  • Expected Research Focus: Multi-agent Systems and Reinforcement Learning
• Beijing Normal University (Sep 2021 - Jun 2025)
  • B.Sc. in Data Science and Big Data Technology
  • Relevant Coursework: Mathematics Analysis, Probability and Statistics, Database Systems, Deep Learning, Data Mining
• RA in Institute of AI and Future Networks , Beijing Normal University (Sep 2023 – Jun 2025)
  • Conducted research on deep reinforcement learning and its applications in areas such as edge computing and agents, under the guidance of Prof. Zhiqing Tang, Prof. JianXiong Guo and Prof. Weijia Jia.
• Zhengzhou Foreign Language School (Sep 2018 - Jun 2021)

News & Updates

• [Dec 2025] 📑 One paper accepted by IEEE Transactions on Consumer Electronics (This work is based on my Bachelor’s Thesis).
• [Sep 2025] 🎓 Officially enrolled at HUST and joined the EPIC Lab！
• [Jun 2025] 🎓 Graduated from BNU with Honors!

Publications

1. [TCE’25] Personalized LLM Service Updating in Collaborative Edge-enable Vehicle Autonomous System
   Dongkun Huo, Jiajie Yin, Hongbo Liu, Yixue Hao*, Rui Wang, Long Hu, Yijun Mo
   IEEE Transactions on Consumer Electronics, Early Access. (JCR-Q1) [DOI] [PDF]
2. [IoT-J’24] QoS-aware Energy-efficient Multi-UAV Offloading Ratio and Trajectory Control Algorithm in Mobile Edge Computing
   Jiajie Yin, Zhiqing Tang*, Jiong Lou, Jianxiong Guo, Hui Cai, Xiaoming Wu, Tian Wang, Weijia Jia
   IEEE Internet of Things Journal, 2024, 11(24): 40588-40602. (JCR-Q1) [DOI] [PDF]
3. [MLISE’24] Data-Driven MMA Outcome Prediction Enhanced by Fighter Styles: A Machine Learning Approach
   Jiajie Yin*
   2024 4th International Conference on Machine Learning and Intelligent Systems Engineering. IEEE, 2024: 346-351. (EI) [DOI] [PDF]

Selected Projects

• Online Container Scheduling and Resource Optimization for Digital Twin Edge Networks (Participate as an Undergraduate RA, 2023–2025)
  Advisor: Prof. Zhiqing Tang | Supported by NSFC
  • Proposed a composite user model for high mobility and heterogeneity edge scenarios.
  • Developed a QoS-aware RL algorithm for UAV task scheduling and resource allocation, significantly outperforming baselines in large-scale simulations.
  • Publication: QoS-aware Energy-efficient Multi-UAV Offloading Ratio and Trajectory Control Algorithm in Mobile Edge Computing (IEEE IoT-Journal, JCR-Q1) [PDF]
  • Patent: Method and Device for UAV-Assisted Offloading Strategy (Authorized, Patent No. ZL 2024 1 0997853.0)
• The Study on Mechanisms and Patterns of Two Opposing Swarm Movements (National Class Undergraduate Training Programs for Innovation and Entrepreneurship, 2022–2023)
  Advisor: Prof. Guiyuan Shi | Supported by IACCS, BNU
  • Implemented classical swarm models like Boids, Vicsek, and Couzin using Python.
  • Extended models to 3D space and introduced opposing swarms, designing interaction mechanisms to study their dynamic behaviors.
  • Developed an interactive simulation platform for complex system research, CouzinSim, featuring customizable parameters and clear visualizations. [🔗 Code: Available on GitHub]

Skills

• Reinforcement Learning:
  • Algorithms: .
  • Frameworks: Gymnasium, PettingZoo, PyMARL Series, Ray/RLlib.
  • Experienced in building simulation environments.
• Deep Learning & LLMs:
  • DL Stack:
  • LLM Alignment: Actively learning RLHF (RL for LLMs) and Parameter-Efficient Fine-Tuning (LoRA).
• Programming & Dev:
  • Languages:
  • Tools:

Honors & Awards

• 🎓 Scholarships & Academic Honors
  • First-Class Academic Scholarship, HUST, 2025
  • Grand Prize of Academic Research Scholarship, BNU, 2025
  • Outstanding Undergraduate of the Faculty of Arts and Sciences, BNU, 2025
  • Second Prize of “Jingshi” Undergraduate Scholarship, BNU, 2023-2024
• 🏆 Competitions
  • Honourable Mention, The Mathematical Contest in Modeling (MCM), 2024
  • Second Prize (Guangdong Division), The 15th Lanqiao Cup (Python), 2024
  • First Prize (Ranked #1), BNU “Jingshi Cup” Science and Technology Competition, 2024
• 💼 Leadership & Social Service
  • Outstanding Officer (2021 - 2022), Beijing Normal University Zhuhai Education Development Foundation of Guangdong Province
  • Refiner of the Quarter, Lumon Industries, MDR Department, Q2 2023, awarded with a Waffle Party. Praise Kier.🙏

Life & Interests

This is where the agent goes offline.