Portrait of Min An

Magic Min An

M.Sc. in Artificial Intelligence & Machine Learning

Yunnan University (YNU) Kunming, China

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About Me

I am a research Master's student (M.Sc.) in Artificial Intelligence and Machine Learning at the School of Software and AI, Yunnan University, with a solid research background in the integration of deep learning and blockchain technology. My previous work has focused on applying deep learning techniques, with a specific emphasis on reinforcement learning, to optimise the performance of blockchain systems within IoT frameworks.

My research interests span a broad range of topics, including blockchain technology, reinforcement learning, time series forecasting, federated learning, and large language models (LLMs). I am increasingly interested in exploring how these technologies can be integrated into more general intelligent systems, particularly within the context of cyber-physical systems (CPS) and decentralized AI applications.

While my current research has primarily focused on blockchain, I aim to extend my future work beyond this domain, with a broader focus on enabling intelligent, secure, and efficient interactions between physical and computational components in complex systems. This will be achieved through the application of tools from machine learning, large language models (LLMs), and distributed computing.

For more information about my academic work, see ResearchGate and ORCID.

Interests

  • Reinforcement Learning
  • Blockchain
  • Internet of Things (IoT)
  • Large Language Models (LLMs)
  • Federated Learning
  • Time Series Forecasting
  • Affective Computing
  • Physiological Computing

Education

  • M.Sc./M.Phil in Artificial Intelligence and Machine Learning

    School of Software and AI, Yunnan University (YNU)

    2022 – 2025

  • B.E. in Computer Science and Technology

    School of Mathematics and Computer Science, Northwest Minzu University (XBMU)

    2018 – 2022

Selected Publications

  1. RLChain: A DRL Approach for Blockchain Performance Optimization Towards IIoT

    IEEE Transactions on Network and Service Management (TNSM)

    Min An, Xuan Zhang, Jishu Wang, Qiyuan Fan, Chen Gao, Linyu Li, Cuizhen Lu, Nan Li, Yingchen Liu

    PDFCiteDOICode

  2. Blockchain Technology Research and Application: A Literature Review and Future Trends

    Journal of Data Science and Intelligent Systems

    Min An, Qiyuan Fan, Hao Yu, Bo An, Nannan Wu, Haiyang Zhao, Xinhao Wan, Jiaxuan Li, Rui Wang, Jingyu Zhen, Qinyan Zou, Bin Zhao

    PDFCiteDOI

  3. IDAD: An improved tensor train based distributed DDoS attack detection framework and its application in complex networks

    Future Generation Computer Systems

    Qiyuan Fan, Xue Li, Puming Wang, Xin Jin, Shaowen Yao, Shengfa Miao, Min An, Yuqing Zhao

    PDFCiteDOICode

  4. BDIP: An Efficient Big Data-Driven Information Processing Framework and Its Application in DDoS Attack Detection

    IEEE Transactions on Network and Service Management (TNSM)

    Qiyuan Fan, Xue Li, Puming Wang, Xin Jin, Shaowen Yao, Shengfa Miao, Sizhang Li, Min An, Jing Xu

    PDFCiteDOI

Full list on Google Scholar · Code repositories

Under Review

  1. BCP-Agent: Enhancing Blockchain Performance through Large Language Models Major Revision

    IEEE Transactions on Network and Service Management (TNSM)

    Min An, Qiyuan Fan, Linyu Li, Mengjiao Gu, Nan Li, Yingchen Liu

Patents

  1. 一种性能优化的双链分布式电力交易系统及方法 Granted

    A performance-optimized dual-chain distributed power trading system and method

    China · ZL2023116558125 · 2023-12-05 · Pub. CN117670541B

    Xuan Zhang, Min An, Jishu Wang, Xu Wang, Rui Zhu, Shenglong Lü, Jiaxuan Li, Tao Zhou

    Patent

  2. 面向国民经济和社会发展调查领域的不确定性知识图谱建模方法 Granted

    Uncertainty knowledge graph modeling method oriented to national economy and social development investigation field

    China · ZL2022114924688 · 2022-11-25 · Pub. CN116628212B

    Xuan Zhang, Zihao Yuan, Rui Zhu, Chen Gao, Linyu Li, Min An, Baolei Wang, Qiuying Ma

    Patent

  3. 基于图对比学习的非法账户识别方法 Granted

    Illegal account identification method based on graph comparison learning

    China · ZL202310129147.X · 2023-02-17 · Pub. CN116738201B

    Xuan Zhang, Hexiang Huang, Jishu Wang, Rui Zhu, Xu Wang, Shenglong Lü, Min An

    Patent

Fundings

  1. Reinforcement Learning Research for Blockchain Performance Optimization in Industrial IoT Award

    Yunnan University (Kunming, CN) · TM-23236809 · 2023-11 – 2025-03

    Min An

  2. Research on Edge and Crowd Intelligence Collaborative Computing for Smart Agricultural Equipment Contract

    People's Government of Yunnan Province (Kunming, CN) · 202302AE09002003 · 2023-01 – 2025-12

    Min An

  3. Data Governance in Complex Environments for Power Monitoring Systems Empowered by Blockchain and Cloud-Edge Collaboration Award

    Yunnan University (Kunming, CN) · KC-2222958 · 2022-09 – 2024-12

    Min An

  4. B2B Model-Based Agricultural Cooperative Production and Marketing System Contract

    National College Students Innovation and Entrepreneurship Training Program (Lanzhou, CN) · 202010742059 · 2020-01 – 2021-06

    Min An

  5. Research on Edge Cloud Platform Based on Deep Heterogeneous Nodes Contract

    Fundamental Research Funds for Central Universities (Lanzhou, CN) · 31920190092 · 2019-01 – 2021-06

    Min An

Experience