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Jiamin Wu

4 papers hereh-index 240 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL1
  • cs.DB1
  • cs.MA1
  • q-bio.QM1
same name
  • Jiamin Wu — 13 papers, h 7
  • Jiamin Wu — 6 papers, h 35
  • Jiamin Wu — 6 papers, h 5
  • Jiamin Wu — 5 papers, h 2
  • Jiamin Wu — 4 papers, h 1
  • Jiamin Wu — 3 papers, h 9

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedA Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

q-bio.QM2026

EasyBCI Agent: Towards Universal Neural Data Preprocessing for Brain-Computer Interfaces

Yu Zhu, Runkai Zhao, Zhimin Zhou +15

Brain-computer interfaces translate neural activity into device commands, yet their performance hinges on preprocessing that remains manual, expert-dependent and poorly reproducibl…

cs.MA2026

SeekBrain: An Autonomous Multi-Agent System for Accelerating Neuroscience Discovery

Jiamin Wu, Peishan Xiang, Jingyang Chen +26

Modern neuroscience relies on integrating multi-scale, multimodal datasets to uncover the neural principles underlying intelligence. However, analytical challenges posed by highly…

cs.DB2026

SciDataCopilot: An Agentic Data Preparation Framework for AGI-driven Scientific Discovery

Jiyong Rao, Yicheng Qiu, Jiahui Zhang +29

The current landscape of AI for Science (AI4S) is predominantly anchored in large-scale textual corpora, where generative AI systems excel at hypothesis generation, literature sear…

cs.CL2025★ 1 cited

A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers

Ming Hu, Chenglong Ma, Wei Li +117

Scientific Large Language Models (Sci-LLMs) are transforming how knowledge is represented, integrated, and applied in scientific research, yet their progress is shaped by the compl…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.