collaborators

12 papers

math.CA2026

Evolving edge weights via local entropy flow and cohesion flow on graphs

Juan Zhao, Jicheng Ma, Yunyan Yang +1

In this paper, we first propose two different quantities on graphs, namely local entropy and cohesion, then design two corresponding flows for edge weights: the local entropy flow…

math.CO2026

Large point-degrees in intersecting families of finite vector spaces

Jicheng Ma, Hao Li

Let \(V\) be an \(n\)-dimensional vector space over the finite field \(\Fq\), and let \(\Gr{V}{k}\) denote the family of all \(k\)-dimensional subspaces of \(V\). A family \(\cF\su…

cs.IT2026

On Permutation Groups of Cyclic Codes over Finite Fields

Junjie Huang, Jicheng Ma, Chang-An Zhao

The permutation groups of cyclic codes are widely applicable in determining the weight distribution of codes, decoding theory and various other areas. In this paper, by employing t…

cs.CL2026

EternalMath: A Living Benchmark of Frontier Mathematics that Evolves with Human Discovery

Jicheng Ma, Guohua Wang, Xinhua Feng +3

Current evaluations of mathematical reasoning in large language models (LLMs) are dominated by static benchmarks, either derived from competition-style problems or curated through…

cs.LG2026

Geometric Evolution Graph Convolutional Networks: Enhancing Graph Representation Learning via Ricci Flow

Jicheng Ma, Yunyan Yang, Juan Zhao +1

We introduce the Geometric Evolution Graph Convolutional Network (GEGCN), a novel framework that enhances graph representation learning through explicit modeling of geometric evolu…

math.CA2026

An Efficient Entropy Flow on Weighted Graphs: Theory and Applications

Juan Zhao, Jicheng Ma, Yunyan Yang +1

We propose a novel entropy flow on weighted graphs, which provides a principled framework that characterizes the evolution of probability distributions over graph structures while…