261 citations · 1.1k across the 20 of their papers we have counts for
20 papers
FAST reveals new evidence for M94 as a merger
Ruilei Zhou, Ming Zhu, Yanbin Yang +4
We report the first high-sensitivity HI observation toward the spiral galaxy M94 with the Five-hundred-meter Aperture Spherical radio Telescope (FAST). From these observations, we…
FAST discovery of long tidal tails in NGC 4490/85
Yao Liu, Ming Zhu, Haiyang Yu +5
We report the discovery of a 100 kpc HI tail in the merging galaxy pair NGC 4490/85 detected by the Five-Hundred-meter Aperture Spherical radio Telescope (FAST). The tidal tails ex…
Flux Variations of Cosmic Ray Air Showers Detected by LHAASO-KM2A During a Thunderstorm on 10 June 2021
LHAASO Collaboration, F. Aharonian, Q. An +268
The Large High Altitude Air Shower Observatory (LHAASO) has three sub-arrays, KM2A, WCDA and WFCTA. The flux variations of cosmic ray air showers were studied by analyzing the KM2A…
Early results from GLASS-JWST VIII: An Extremely Magnified Blue Supergiant Star at Redshift 2.65 in the Abell 2744 Cluster Field
Wenlei Chen, Patrick L. Kelly, Tommaso Treu +18
We report the discovery of an extremely magnified star at redshift in James Webb Space Telescope (JWST) NIRISS pre-imaging of the Abell 2744 galaxy-cluster field. The star…
Strategies to reduce the thermoelastic loss of multimaterial coated finite substrates
Ruinan Zhou, Manel Molina-Ruiz, Frances Hellman
Thermoelastic loss is an important energy dissipation mechanisms in resonant systems. A careful analysis of the thermoelastic loss is critical to the design of low-noise devices fo…
Peta-electron volt gamma-ray emission from the Crab Nebula
The LHAASO Collaboration, Zhen Cao, F. Aharonian +269
The Crab pulsar and the surrounding nebula powered by the pulsar's rotational energy through the formation and termination of a relativistic electron-positron wind is a bright sour…
Discovery of a new -ray source LHAASO J0341+5258 with emission up to 200TeV
The LHAASO Collaboration, Zhen Cao, F. Aharonian +267
We report the discovery of a new unidentified extended -ray source in the Galactic plane named LHAASO J0341+5258 with a pre-trial significance of 8.2 standard deviations above 2…
Discovery of the Ultra-high energy gamma-ray source LHAASO J2108+5157
The LHAASO collaboration, Zhen Cao, F. Aharonian +267
We report the discovery of a UHE gamma-ray source, LHAASO J2108+5157, by analyzing the LHAASO-KM2A data of 308.33 live days. Significant excess of gamma-ray induced showers is obse…
Extended Very-High-Energy Gamma-Ray Emission Surrounding PSR J0622 + 3749 Observed by LHAASO-KM2A
The LHAASO collabration, Zhen Cao, F. Aharonian +310
We report the discovery of an extended very-high-energy (VHE) gamma-ray source around the location of the middle-aged (207.8 kyr) pulsar PSR J0622+3749 with the Large High Altitude…
The observation of the Crab Nebula with LHAASO-KM2A for the performance study
F. Aharonian, Q. An, Axikegu +246
As a sub-array of the Large High Altitude Air Shower Observatory (LHAASO), KM2A is mainly designed to cover a large fraction of the northern sky to hunt for gamma-ray sources at en…
Learning Role-based Graph Embeddings
Nesreen K. Ahmed, Ryan Rossi, John Boaz Lee +4
Random walks are at the heart of many existing network embedding methods. However, such algorithms have many limitations that arise from the use of random walks, e.g., the features…
Inductive Representation Learning in Large Attributed Graphs
Nesreen K. Ahmed, Ryan A. Rossi, Rong Zhou +4
Graphs (networks) are ubiquitous and allow us to model entities (nodes) and the dependencies (edges) between them. Learning a useful feature representation from graph data lies at…
Similarity-based Multi-label Learning
Ryan A. Rossi, Nesreen K. Ahmed, Hoda Eldardiry +1
Multi-label classification is an important learning problem with many applications. In this work, we propose a principled similarity-based approach for multi-label learning called…
A Framework for Generalizing Graph-based Representation Learning Methods
Nesreen K. Ahmed, Ryan A. Rossi, Rong Zhou +4
Random walks are at the heart of many existing deep learning algorithms for graph data. However, such algorithms have many limitations that arise from the use of random walks, e.g.…
Deep Feature Learning for Graphs
Ryan A. Rossi, Rong Zhou, Nesreen K. Ahmed
This paper presents a general graph representation learning framework called DeepGL for learning deep node and edge representations from large (attributed) graphs. In particular, D…
Estimation of Graphlet Statistics
Ryan A. Rossi, Rong Zhou, Nesreen K. Ahmed
Graphlets are induced subgraphs of a large network and are important for understanding and modeling complex networks. Despite their practical importance, graphlets have been severe…
Revisiting Role Discovery in Networks: From Node to Edge Roles
Nesreen K. Ahmed, Ryan A. Rossi, Theodore L. Willke +1
Previous work in network analysis has focused on modeling the mixed-memberships of node roles in the graph, but not the roles of edges. We introduce the edge role discovery problem…
Relational Similarity Machines
Ryan A. Rossi, Rong Zhou, Nesreen K. Ahmed
This paper proposes Relational Similarity Machines (RSM): a fast, accurate, and flexible relational learning framework for supervised and semi-supervised learning tasks. Despite th…
Hybrid CPU-GPU Framework for Network Motifs
Ryan A. Rossi, Rong Zhou
Massively parallel architectures such as the GPU are becoming increasingly important due to the recent proliferation of data. In this paper, we propose a key class of hybrid parall…
Anytime Heuristic Search
E. A. Hansen, R. Zhou
We describe how to convert the heuristic search algorithm A* into an anytime algorithm that finds a sequence of improved solutions and eventually converges to an optimal solution.…