46 citations
- Agency for Science, Technology and ResearchSG2 papers
- Amazon (United States)US1 paper
- Carnegie Mellon UniversityUS1 paper
- Commonwealth Scientific and Industrial Research OrganisationAU1 paper
- Dalian University of TechnologyCN1 paper
- Data61AU1 paper
- Institute of High Performance ComputingSG1 paper
- Materials Modification (United States)US1 paper
- Nanyang Technological UniversitySG1 paper
- Rolls-Royce (United States)US1 paper
- Shandong UniversityCN1 paper
- Singapore Bioimaging ConsortiumSG1 paper
8 papers
EOCSA: Predicting Prognosis of Epithelial Ovarian Cancer with Whole Slide Histopathological Images
Tianling Liu, Ran Su, Changming Sun +2
Ovarian cancer is one of the most serious cancers that threaten women around the world. Epithelial ovarian cancer (EOC), as the most commonly seen subtype of ovarian cancer, has ra…
SiWa: See into Walls via Deep UWB Radar
Tianyue Zheng, Zhe Chen, Jun Luo +3
Being able to see into walls is crucial for diagnostics of building health; it enables inspections of wall structure without undermining the structural integrity. However, existing…
Hooks in the Headline: Learning to Generate Headlines with Controlled Styles
Di Jin, Zhijing Jin, Joey Tianyi Zhou +2
Current summarization systems only produce plain, factual headlines, but do not meet the practical needs of creating memorable titles to increase exposure. We propose a new task, S…
RoboCoDraw: Robotic Avatar Drawing with GAN-based Style Transfer and Time-efficient Path Optimization
Tianying Wang, Wei Qi Toh, Hao Zhang +4
Robotic drawing has become increasingly popular as an entertainment and interactive tool. In this paper we present RoboCoDraw, a real-time collaborative robot-based drawing system…
Constrained Heterogeneous Vehicle Path Planning for Large-area Coverage
Di Deng, Wei Jing, Yuhe Fu +3
There is a strong demand for covering a large area autonomously by multiple UAVs (Unmanned Aerial Vehicles) supported by a ground vehicle. Limited by UAVs' battery life and communi…
Evolution of Intrinsic Vacancies and Prolonged Lifetime of Vacancy Clusters in Black Phosphorene
Yongqing Cai, Shuai Chen, Junfeng Gao +2
Due to the relatively low formation energies and highly mobile characteristics of atomic vacancies in phosphorene, understanding their evolutions becomes crucial for its structural…