24 citations
- Hanyang UniversityKR14 papers
- Henan UniversityCN3 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Cornell UniversityUS2 papers
- Florida State UniversityUS2 papers
- Institute for Research in Fundamental SciencesIR2 papers
- Korea UniversityKR2 papers
- Sapienza University of RomeIT2 papers
- University at Buffalo, State University of New YorkUS2 papers
- University of California, Santa BarbaraUS2 papers
- A. Alikhanyan National LaboratoryAM1 paper
- Abdus Salam Centre for PhysicsPK1 paper
5 papers · 1 filter
Stacking-tunable multiferroic states in bilayer ScI2
Yaxin Pan, Chongze Wang, Shuyuan Liu +4
Two-dimensional(2D) multiferroic materials hold significant promise for advancing the miniaturization and integration of nanodevices. In this study, we demonstrate that 2D bilayer…
Communication-Efficient Module-Wise Federated Learning for Grasp Pose Detection in Cluttered Environments
Woonsang Kang, Joohyung Lee, Seungjun Kim +2
Grasp pose detection (GPD) is a fundamental capability for robotic autonomy, but its reliance on large, diverse datasets creates significant data privacy and centralization challen…
A Scalable Unsupervised Framework for multi-aspect labeling of Multilingual and Multi-Domain Review Data
Jiin Park, Misuk Kim
Effectively analyzing online review data is essential across industries. However, many existing studies are limited to specific domains and languages or depend on supervised learni…
A real-time anomaly detection method for robots based on a flexible and sparse latent space
Taewook Kang, Bum-Jae You, Juyoun Park +1
The growing demand for robots to operate effectively in diverse environments necessitates the need for robust real-time anomaly detection techniques during robotic operations. Howe…
Large Language Model as Meta-Surrogate for Data-Driven Many-Task Optimization: A Proof-of-Principle Study
Xian-Rong Zhang, Yue-Jiao Gong, Yuan-Ting Zhong +2
In many-task optimization scenarios, surrogate models are valuable for mitigating the computational burden of repeated fitness evaluations across tasks. This study proposes a novel…