activity
20202026
most citedCSGO: Constrained-Softassign Gradient Optimization For Large Graph Matching

2 citations · 4 across the 6 of their papers we have counts for

collaborators

8 papers

math.OC2026

Regularized Coupling Maps on Matrix Polytopes: From Assignment to Graph Matching and Optimal Transport

Binrui Shen, Shengxin Zhu

Three classical problems-linear assignment, graph matching, and optimal transport-share a common structure: they seek an optimal matrix-valued coupling on a matrix polytope. We stu…

cs.AI2026

LoCA: Forward-Only LLM Tuning after One-Shot Calibration with Local Credit Assignment

Linhan Xia, Rui Liu, Zhaofeng Zhang +3

Parameter-efficient post-training reduces the number of trainable parameters, but still requires repeated end-to-end backpropagation through the frozen backbone. Every adaptation s…

cs.AI2026

Evolving in the Agent Jungle via History-Informed Opponent Awareness

Zhaofeng Zhang, Linhan Xia, Rui Liu +3

Learning to adapt strategies through interaction is a key step toward more general and autonomous LLM agents. Existing approaches typically achieve behavioral adaptation by revisin…

cs.LG2025

FRAM: Frobenius-Regularized Assignment Matching with Mixed-Precision Computing

Binrui Shen, Yuan Liang, Shengxin Zhu

Graph matching, typically formulated as a Quadratic Assignment Problem (QAP), seeks to establish node correspondences between two graphs. To address the NP-hardness of QAP, some ex…

math.CO2023

Lightning graph matching

Binrui. shen, Qiang. niu, Shengxin. zhu

Graph matching aims to find correspondences between two graphs. It is a fundamental task in pattern recognition. The classical spectral matching algorithm has time complexity $\mat…

math.OC2023★ 2 cited

Adaptive Softassign via Hadamard-Equipped Sinkhorn

Binrui Shen, Qiang Niu, Shengxin Zhu

Softassign is a pivotal method in graph matching and other learning tasks. Many softassign-based algorithms exhibit performance sensitivity to a parameter in the softassign. Howeve…

math.CO2022★ 2 cited

CSGO: Constrained-Softassign Gradient Optimization For Large Graph Matching

Binrui Shen, Qiang Niu, Shengxin Zhu

Graph matching aims to find correspondences between two graphs. This paper integrates several well-known graph matching algorithms into a framework: the constrained gradient method…

cs.CV2020

Fabricated Pictures Detection with Graph Matching

Binrui Shen, Qiang Niu, Shengxin Zhu

Fabricating experimental pictures in research work is a serious academic misconduct, which should better be detected in the reviewing process. However, due to large number of submi…