(Updated Summer 2025)
I’m Yanlin Fu, an undergraduate at Fudan University who is currently open to jobs market and PhD positions in computational cognitive neuroscience, BCI, or AI. My research focuses on human language processing using high-temporal-resolution imaging techniques like MEG. I advocate for Chinese Open Science and am developing streamlined MEG/EEG analysis pipelines—covering preprocessing, group-level/surrogate decoding, searchlight decoding, spectral analysis, and geometry analysis—with high-speed parallelization for broader accessibility (RSA part and decoding part is undergoing code review and unit test and have been set to private repository now).

My CV is available here. We have journal club in our research group last two year, visit Google Drive for my seminar slides.

My research philosophy on computational cognitive neuroscience is that CCN might not lead the general development of AI (the last time might be drop-out but no longer for GPTs model) but it is suitable for solving the corner case of understanding intelligence. Like in the spring of 2023, most SOTA GPT4 cannot answer properly to question like “生菜煮熟了还是生菜吗” (Is boiled lettuce still lettuce, but in Chinese, lettuce has meaning of ‘cold vegetable’), but now even small LLMs like qwen3.0-0.6b can answer it properly. In cognitive neuroscience we need to design well-established experiment digging out the human potential of understanding problem that are not a problem/benchmark for LLMs nowadays.

Previous About ME session:

（2023 年 11 月更新）最近在玩 Natural Number Games 并且在做一些神经语言学相关的实验。

（2023 年暑假更新）我目前是五角场职业文秘学校一名理论烧开水与应用烧开水专业的大二本科生（秋季就大三了，好老了.jpg），但由于我学不会物理我对计算神经科学与数理逻辑都感兴趣。

这是我的博客，我使用了 Jekyll 和 GitHub Pages 搭建了它。

我会发一些自己的学习笔记与自己对一些其他事情的感想，计划是会同时使用中文与英文。以及我对排版也很感兴趣，我使用 LaTeX。