activity
20132020
most citedMachine learning forecasts of the cosmic distance duality relation with strongly lensed gravitational wave events

32 citations · 89 across the 10 of their papers we have counts for

collaborators

10 papers

astro-ph.CO2020★ 32 cited

Machine learning forecasts of the cosmic distance duality relation with strongly lensed gravitational wave events

Rubén Arjona, Hai-Nan Lin, Savvas Nesseris +1

We use simulated strongly lensed gravitational wave events from the Einstein Telescope to demonstrate how the luminosity and angular diameter distances, and respe…

cs.CV2020★ 2 cited

Improving the generalization of network based relative pose regression: dimension reduction as a regularizer

Xiaqing Ding, Yue Wang, Li Tang +2

Visual localization occupies an important position in many areas such as Augmented Reality, robotics and 3D reconstruction. The state-of-the-art visual localization methods perform…

gr-qc2020★ 13 cited

Strongly lensed gravitational waves as the probes to test the cosmic distance duality relation

Hai-Nan Lin, Xin Li, Li Tang

The cosmic distance relation (DDR) associates the angular diameters distance () and luminosity distance () by a simple formula, i.e., . The strongly lense…

cs.DC2020

Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool

Sungsoo Ha, Wonyong Jeong, Gyorgy Matyasfalvi +11

Because of the limits input/output systems currently impose on high-performance computing systems, a new generation of workflows that include online data reduction and analysis is…

cs.RO2020★ 27 cited

Radar-on-Lidar: metric radar localization on prior lidar maps

Huan Yin, Yue Wang, Li Tang +1

Radar and lidar, provided by two different range sensors, each has pros and cons of various perception tasks on mobile robots or autonomous driving. In this paper, a Monte Carlo sy…

cs.IT2020★ 2 cited

Straggler-resistant distributed matrix computation via coding theory

Aditya Ramamoorthy, Anindya Bijoy Das, Li Tang

The current BigData era routinely requires the processing of large scale data on massive distributed computing clusters. Such large scale clusters often suffer from the problem of…