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Undergraduate Student, Ocean University of China
I am a first-year undergraduate student in Computational Physics at Ocean University of China. My research interests include domain-specific large language models, AI for Science, computer vision, high-performance computing, and research infrastructure.
I am interested in building intelligent systems that can reason over scientific domains. My current work focuses on domain adaptation, expert-level evaluation, and robust multimodal reasoning. I also enjoy the engineering side of research, including Linux environments, multi-GPU scheduling, reproducible experiments, and clean technical writing.
We present Geo-Expert, a parameter-efficient geological LLM framework, and establish Geo-Eval, a benchmark for geological reasoning.
AcceptedMotif-based reasoning enhances test-time adaptation by integrating semantic and structural information for robust out-of-distribution and cross-domain generalization.
Under ReviewOne additional paper is currently under review at Pattern Recognition.
Under ReviewGPA: 3.92 / 4.00, equivalent to 94.93 / 100
Led a domain-specific LLM project for expert-level geological reasoning, including framework design, benchmark construction, and experimental iteration.
Contributed to a robust CLIP test-time adaptation method using structure-semantic signatures for out-of-distribution and cross-domain generalization.