activity
20212024
most citedAll-sky Search for Continuous Gravitational Waves from Isolated Neutron Stars in the Early O3 LIGO Data

69 citations · 124 across the 13 of their papers we have counts for

collaborators

13 papers

quant-ph202418 cited

Quantum Annealing Approach for the Optimal Real-time Traffic Control using QUBO

Amit Singh, Chun-Yu Lin, Chung-I Huang +1

Traffic congestion is one of the major issues in urban areas, particularly when traffic loads exceed the roads capacity, resulting in higher petrol consumption and carbon emissions…

astro-ph.CO20241 cited

Ultralight vector dark matter search using data from the KAGRA O3GK run

The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1800

Among the various candidates for dark matter (DM), ultralight vector DM can be probed by laser interferometric gravitational wave detectors through the measurement of oscillating l…

cs.CV2023

GAFlow: Incorporating Gaussian Attention into Optical Flow

Ao Luo, Fan Yang, Xin Li +4

Optical flow, or the estimation of motion fields from image sequences, is one of the fundamental problems in computer vision. Unlike most pixel-wise tasks that aim at achieving con…

astro-ph.HE20236 cited

Search for Eccentric Black Hole Coalescences during the Third Observing Run of LIGO and Virgo

The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1772

Despite the growing number of confident binary black hole coalescences observed through gravitational waves so far, the astrophysical origin of these binaries remains uncertain. Or…

gr-qc202319 cited

Search for gravitational-lensing signatures in the full third observing run of the LIGO-Virgo network

The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1692

Gravitational lensing by massive objects along the line of sight to the source causes distortions of gravitational wave-signals; such distortions may reveal information about funda…

eess.IV2023

SigVIC: Spatial Importance Guided Variable-Rate Image Compression

Jiaming Liang, Meiqin Liu, Chao Yao +2

Variable-rate mechanism has improved the flexibility and efficiency of learning-based image compression that trains multiple models for different rate-distortion tradeoffs. One of…