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Yuxiao Li

6 accepted papers

2026

CellAgent: LLM-Driven Multi-Agent Framework for Natural Language-Based Single-Cell Analysis

ICLR 2026poster

Single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) data analysis are pivotal for advancing biological research, enabling precise characterization of cellular heterogeneity. However, existing analysis approaches require extensive manual programming and complex tool integration, p…

Cited by 0SourcecodeScholar
2026

Localized Coverage Planning for a Heat Transfer Tube Inspection Robot

ICRA 2026poster

The heat transfer tubes of the steam generator are critical components of the nuclear power system and require regular inspection to ensure safety. The SG-Climbot, a quadruped heat transfer tube inspection robot, is equipped with a guiding device capable of simultaneously aligning with and inspectin…

Cited by 0SourceScholar
2025

Localized Coverage Planning for a Heat Transfer Tube Inspection Robot

RA-L 2025

The heat transfer tubes of the steam generator are critical components of the nuclear power system and require regular inspection to ensure safety. The SG-Climbot, a quadruped heat transfer tube inspection robot, is equipped with a guiding device capable of simultaneously aligning with and inspectin

Cited by 1SourceScholar
2024

A Multi-Carrier Information Hiding Algorithm Based on Layered Compression of 3d Point Cloud Model

ICASSP 2024accepted

Aiming at the problem that most of the existing embedding carriers of information hiding are single two-dimensional images with limited embedding information capacity, a multicarrier information hiding algorithm based on hierarchical compression of 3D point cloud model is proposed. First, the minimu…

Cited by 0SourceScholar
2023

Red Teaming Deep Neural Networks with Feature Synthesis Tools

NeurIPS 2023poster

Interpretable AI tools are often motivated by the goal of understanding model behavior in out-of-distribution (OOD) contexts. Despite the attention this area of study receives, there are comparatively few cases where these tools have identified previously unknown bugs in models. We argue that this i…

2022

Variational Bayesian Framework for Advanced Image Generation with Domain-Related Variables

ICASSP 2022accepted

Deep generative models (DGMs) and their conditional counterparts provide a powerful ability for general-purpose generative modeling of data distributions. However, it remains challenging for existing methods to address advanced conditional generative problems without annotations, which can enable mu…

Cited by 0SourceScholar