172 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Shenzhen UniversityCN5 papers
- Guangdong Academy of SciencesCN4 papers
- Chinese University of Hong KongHK2 papers
- Guangdong University of TechnologyCN2 papers
- Harbin Institute of TechnologyCN2 papers
- Huazhong University of Science and TechnologyCN2 papers
- Shenzhen Academy of RoboticsCN2 papers
- Agency for Science, Technology and ResearchSG1 paper
- Beijing Institute of TechnologyCN1 paper
- Chinese Academy of SciencesCN1 paper
- City University of MacauMO1 paper
- Guangdong Food Industry Research InstituteCN1 paper
18 papers
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,…
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…
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…
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…
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…
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…
In-situ process monitoring and adaptive quality enhancement in laser additive manufacturing: a critical review
Lequn Chen, Guijun Bi, Xiling Yao +6
Laser Additive Manufacturing (LAM) presents unparalleled opportunities for fabricating complex, high-performance structures and components with unique material properties. Despite…
Single-Atom Verification of the Optimal Trade-Off between Speed and Cost in Shortcuts to Adiabaticity
J. -W. Zhang, J. -T. Bu, J. C. Li +11
The approach of shortcuts to adiabaticity enables the effective execution of adiabatic dynamics in quantum information processing with enhanced speed. Owing to the inherent trade-o…
Actuation manifold from snapshot data
Luigi Marra, Guy Y. Cornejo Maceda, Andrea Meilán-Vila +5
We propose a data-driven methodology to learn a low-dimensional manifold of controlled flows. The starting point is resolving snapshot flow data for a representative ensemble of ac…
BodyFormer: Semantics-guided 3D Body Gesture Synthesis with Transformer
Kunkun Pang, Dafei Qin, Yingruo Fan +4
Automatic gesture synthesis from speech is a topic that has attracted researchers for applications in remote communication, video games and Metaverse. Learning the mapping between…
Model-based Transfer Learning for Automatic Optical Inspection based on domain discrepancy
Erik Isai Valle Salgado, Haoxin Yan, Yue Hong +8
Transfer learning is a promising method for AOI applications since it can significantly shorten sample collection time and improve efficiency in today's smart manufacturing. Howeve…
Improving Image Clustering through Sample Ranking and Its Application to remote--sensing images
Qinglin Li, Guoping Qiu
Image clustering is a very useful technique that is widely applied to various areas, including remote sensing. Recently, visual representations by self-supervised learning have gre…
Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition
Cheng Luo, Siyang Song, Weicheng Xie +2
The activations of Facial Action Units (AUs) mutually influence one another. While the relationship between a pair of AUs can be complex and unique, existing approaches fail to spe…
Hierarchical Structural Analysis Method for Complex Equation-oriented Models
Chao Wang, Li Wan, Tifan Xiong +4
Structural analysis is a method for verifying equation-oriented models in the design of industrial systems. Existing structural analysis methods need flattening of the hierarchical…
Self-Adversarial Training incorporating Forgery Attention for Image Forgery Localization
Long Zhuo, Shunquan Tan, Bin Li +1
Image editing techniques enable people to modify the content of an image without leaving visual traces and thus may cause serious security risks. Hence the detection and localizati…
Potential Escalator-related Injury Identification and Prevention Based on Multi-module Integrated System for Public Health
Zeyu Jiao, Huan Lei, Hengshan Zong +2
Escalator-related injuries threaten public health with the widespread use of escalators. The existing studies tend to focus on after-the-fact statistics, reflecting on the original…
Conformance Relations and Hyperproperties for Doping Detection in Time and Space
Sebastian Biewer, Rayna Dimitrova, Michael Fries +4
We present a novel and generalised notion of doping cleanness for cyber-physical systems that allows for perturbing the inputs and observing the perturbed outputs both in the time-…
Hyperparameter Auto-tuning in Self-Supervised Robotic Learning
Jiancong Huang, Juan Rojas, Matthieu Zimmer +3
Policy optimization in reinforcement learning requires the selection of numerous hyperparameters across different environments. Fixing them incorrectly may negatively impact optimi…