Ruimeng Liu — accepted AI-conference papers

2026

Global Planning for Object Navigation Via a Weighted Traveling Repairman Problem Formulation

Ruimeng Liu, Xinhang Xu, Shenghai Yuan, Lihua Xie

ICRA 2026poster

Zero-Shot Object Navigation (ZSON) requires agents to navigate to objects specified via open-ended natural language without predefined categories or prior environmental knowledge. While recent methods leverage foundation models or multi-modal maps, they often rely on 2D representations and greedy st…

Cited by 0 code ↗Scholar ↗

2025

SparseMVC: Probing Cross-view Sparsity Variations for Multi-view Clustering

Ruimeng Liu, Xin Zou, Chang Tang, Xiao Zheng, Xingchen Hu, Kun Sun +1

NeurIPS 2025spotlight

Existing multi-view clustering methods employ various strategies to address data-level sparsity and view-level dynamic fusion. However, we identify a critical yet overlooked issue: varying sparsity across views. Cross-view sparsity variations lead to encoding discrepancies, heightening sample-level…

Cited by 0 Source ↗code ↗Scholar ↗