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
5 papers · 1 filter
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…