Dongrui Li — accepted AI-conference papers

2026

MorphSeek: Fine-grained Latent Representation-Level Policy Optimization for Deformable Image Registration

Runxun Zhang, Yizhou Liu, Dongrui Li, Bo Xu, Jingwei Wei

CVPR 2026

Deformable image registration (DIR) remains a fundamental yet challenging problem in medical image analysis, largely due to the prohibitively high-dimensional deformation space of dense displacement fields and the scarcity of voxel-level supervision. Existing reinforcement learning frameworks often

Cited by 0 Source ↗Scholar ↗

2025

EmbodiedAgent: A Scalable Hierarchical Approach to Overcome Practical Challenge in Multi-Robot Control

Hanwen Wan, Yifei Chen, Yixuan Deng, Zeyu Wei, Dongrui Li, Zexin Lin +3

IROS 2025

This paper introduces EmbodiedAgent, a hierarchical framework for heterogeneous multi-robot control. EmbodiedAgent addresses critical limitations of hallucination in impractical tasks. Our approach integrates a next-action prediction paradigm with a structured memory system to decompose tasks into e

Cited by 2 Source ↗code ↗Scholar ↗