Biography

Hi, I’m an undergraduate student in Artificial Intelligence at Huazhong University of Science and Technology and currently a visiting student at Peking University, where I work with Dr. Haoxuan Li in Professor Xiaohua Zhou’s lab. Our project, which advances fair and generalizable spatiotemporal representation methods, was recognized at NeuroAI @ NeurIPS 2024, organized by Turing Award recipient Yoshua Bengio. Being acknowledged at such a prestigious venue has been a rewarding milestone in my research career.

My research experience spans AI for Science, GNNs, LLMs, image blending, and object detection. I also interned at LongShine Technology Group, where I gained hands-on experience in Kubernetes cluster management and real-time monitoring. I’m passionate about using deep learning and AI to address scientific challenges, particularly in healthcare and neuroscience.

Outside of research, I enjoy canoeing, wilderness survival, and playing guitar and drums.

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Interests
  • AI for Science
  • Natural Language Processing
Education
  • B.Eng in Artificial Intelligence

    Huazhong University of Science and Technology, 2021-

Publications
(2024). Invariant Spatiotemporal Representation Learning for Cross-patient Seizure Classification. In NeuroAI @ NeurIPS2024.
Projects

Experience

  1. Visiting Student

    Peking University
  2. System Engineer

    LongShine Technology Group Co.,Ltd

    Responsibilities include:

    • Operation and maintenance of the Jingtong system
    • Applications deployment
    • Clusters construction
  3. System Engineer

    LongShine Technology Group Co.,Ltd

    Responsibilities include:

    • Operation and maintenance of the Jingtong system
    • Applications deployment
    • Clusters construction
  4. Research Intern

    Xi'an Jiaotong University

    Advisor:

    • Bin Shi, Associate Professor

Education

  1. B.Eng in Artificial Intelligence

    Huazhong University of Science and Technology, 2021-

    GPA: 80.2/100 (GPA of the 6th semester: 86.77/100 )

    Selected Relevant Courses :

    • Introduction to Brain and Cognition Science (Score: 87/100)
    • Optimization Theory and Method (Score: 86/100)
    • Vision Cognitive Engineering (Score: 90/100)
    • Computer Vision (Score: 91/100)