output
20212026
most citedIn-situ process monitoring and adaptive quality enhancement in laser additive manufacturing: a critical review

172 citations

16 papers

cs.RO2026★ 3 cited

3-D Relative Localization for Multi-Robot Systems with Angle and Self-Displacement Measurements

Chenyang Liang, Liangming Chen, Baoyi Cui +1

Realizing relative localization by leveraging inter-robot local measurements is a challenging problem, especially in the presence of measurement noise. Motivated by this challenge,…

cs.LG2026★ 17 cited

Robust Categorical Data Clustering Guided by Multi-Granular Competitive Learning

Shenghong Cai, Yiqun Zhang, Xiaopeng Luo +3

Data set composed of categorical features is very common in big data analysis tasks. Since categorical features are usually with a limited number of qualitative possible values, th…

cs.RO2025★ 2 cited

Hardware-Free Event Cameras Temporal Synchronization Based on Event Density Alignment

Wenxuan Li, Yan Dong, Shaoqiang Qiu +1

Event cameras are a novel type of sensor designed for capturing the dynamic changes of a scene. Due to factors such as trigger and transmission delays, a time offset exists in the…

cs.LG2025★ 29 cited

Fuzzy Granule Density-Based Outlier Detection with Multi-Scale Granular Balls

Can Gao, Xiaofeng Tan, Jie Zhou +2

Outlier detection refers to the identification of anomalous samples that deviate significantly from the distribution of normal data and has been extensively studied and used in a v…

cs.LG2024★ 4 cited

Residual Hyperbolic Graph Convolution Networks

Yangkai Xue, Jindou Dai, Zhipeng Lu +2

Hyperbolic graph convolutional networks (HGCNs) have demonstrated representational capabilities of modeling hierarchical-structured graphs. However, as in general GCNs, over-smooth…

cs.CL2024★ 22 cited

Evaluating Zero-Shot Multilingual Aspect-Based Sentiment Analysis with Large Language Models

Chengyan Wu, Bolei Ma, Zheyu Zhang +3

Aspect-based sentiment analysis (ABSA), a sequence labeling task, has attracted increasing attention in multilingual contexts. While previous research has focused largely on fine-t…