Mathematics & AI
探索数学结构如何帮助理解和构建学习方法。Exploring how mathematical structures can inform our understanding and design of learning methods.
Foundations · LearningMATHEMATICS × ARTIFICIAL INTELLIGENCE
赖欣 · 北京雁栖湖应用数学研究院(BIMSA)博士后。关注图上的离散几何、Ricci 流与图学习。Xin Lai · Postdoctoral researcher at BIMSA. Working on discrete geometry, Ricci flow on graphs, and graph learning.
赖欣 / Xin LaiXin Lai
我目前是北京雁栖湖应用数学研究院(BIMSA)概率、应用统计和数据科学团队的博士后研究员。我于中国人民大学获得应用数学博士学位,研究兴趣包括图上的离散 Ricci 曲率、Ricci 流、图神经网络与网络结构。I am a postdoctoral researcher in the Probability, Applied Statistics and Data Science Group at the Beijing Institute of Mathematical Sciences and Applications (BIMSA). I received my Ph.D. in Applied Mathematics from Renmin University of China. My research interests include discrete Ricci curvature, Ricci flow on graphs, graph neural networks, and network structure.
我也关注数学与 AI 方法在计算生物学中的交叉应用。I am also interested in interdisciplinary applications of mathematics and AI in computational biology.
BIMSA 官方主页profile ↗02 / RESEARCH
从基础结构到交叉问题From foundations to interdisciplinary questions
探索数学结构如何帮助理解和构建学习方法。Exploring how mathematical structures can inform our understanding and design of learning methods.
Foundations · Learning关注图上的表示学习,以及网络中的几何与结构。Interests in representation learning on graphs, and the geometry and structure of networks.
Graphs · Geometry · Networks探索数学与 AI 方法在生物数据及复杂生命系统中的可能应用。Exploring potential applications of mathematics and AI to biological data and complex living systems.
Biology · Complex systemsarXiv:2601.02673
arXiv:2509.19989
Physica A · 597, 127251
Pattern Recognition · 125, 108524
Pattern Recognition · 130, 108796
04 / OPEN SOURCE
图几何与图学习相关的公开代码。Public code related to graph geometry and graph learning.
未来在这里分享数学、图学习与交叉研究的阅读笔记和思考。文章尚未发布。Future reading notes and reflections on mathematics, graph learning, and interdisciplinary research. No posts published yet.
07 / CONTACT
欢迎就图几何、图学习与交叉研究进行学术交流。For academic discussions on graph geometry, graph learning, and interdisciplinary research.