Xiaojie Wang
A5100351297- Astrophysics and Cosmic Phenomena
- Dark Matter and Cosmic Phenomena
- Gamma-ray bursts and supernovae
- Complex Network Analysis Techniques
- Particle Detector Development and Performance
- Opinion Dynamics and Social Influence
- Particle physics theoretical and experimental studies
- Pulsars and Gravitational Waves Research
- Neutrino Physics Research
- Advanced Graph Neural Networks
- Radiation Detection and Scintillator Technologies
- Peer-to-Peer Network Technologies
- Radio Astronomy Observations and Technology
- Bioinformatics and Genomic Networks
- Astrophysical Phenomena and Observations
- Cosmology and Gravitation Theories
- Ionosphere and magnetosphere dynamics
- Particle accelerators and beam dynamics
- Computational Physics and Python Applications
- Magnetic confinement fusion research
- Bacteriophages and microbial interactions
- Adaptive Dynamic Programming Control
- Plant Virus Research Studies
- Data-Driven Disease Surveillance
- Radio Wave Propagation Studies
Xiamen University
2024
Michigan Technological University
2023
Sungkyunkwan University
2023
National Vaccine and Serum Institute
2023
Xinjiang University of Finance and Economics
2022
Xinjiang University
2022
Chinese Academy of Sciences
2016-2022
Institute of Plasma Physics
2022
Beijing Polytechnic
2022
University of Wisconsin–Madison
2021
XPR1 is emerging as the only known inorganic phosphate (Pi) exporter in humans, critical for Pi homeostasis, with its activity stimulated by inositol pyrophosphate InsP8 and regulated neuronal scaffold protein KIDINS220. Our structural studies reveal specifically activates a stepwise manner, involving profound SPX domain movements. Each subunit functions four gating states, which permeates constriction site via 'knock-kiss-kick' process. In contrast, KIDINS220 delicately stabilizes closed...
It is a crucial and fundamental issue to identify small subset of influential spreaders that can control the spreading process in networks. In previous studies, degree-based heuristic called DegreeDiscount has been shown effectively multiple severed as benchmark method. However, basic assumption not adequate, because it treats all nodes equally without any differences. To consider general situation real world networks, novel method named GeneralizedDegreeDiscount proposed this paper an...
Recent years, the studies of link prediction have been overwhelmingly emphasizing on undirected networks. Compared with it, how to identify missing and spurious interactions in directed networks has received less attention still is not well understood. In this paper, we make use classical indices for networks, adapt them version which could predict both existence direction an arc between two nodes, investigate their ability six real-world Experimental results demonstrate that those modified...
The study of identifying important nodes in networks has a wide application different fields. However, the current researches are mostly based on static or aggregated networks. Recently, increasing attention to with time-varying structure promotes node centrality temporal In this paper, we define supra-evolution matrix depict network structure. With using time series analysis, relationships between layers can be learned automatically. Based special form matrix, eigenvector calculating...
Locating the source that undergoes a diffusion-like process is fundamental and challenging problem in complex network, which can help inhibit outbreak of epidemics among humans, suppress spread rumors on Internet, prevent cascading failures power grids, etc. However, our ability to accurately locate diffusion strictly limited by incomplete information nodes inevitable randomness process. In this paper, we propose an efficient optimization approach via maximum likelihood estimation networks...
Epidemic source localization is one of the most meaningful areas research in complex networks, which helps solve problem infectious disease spread. Limited by incomplete information nodes and inevitable randomness spread process, locating epidemic becomes a little difficult. In this paper, we propose an efficient algorithm via Bayesian Estimation to locate find initial time networks with sparse observers. By modeling infected observers, put forward valid method for tree network further...
How to effectively identify a set of influential spreaders in complex networks is great theoretical and practical value, which can help inhibit the rapid spread epidemics, promote sales products by word-of-mouth advertising, so on. A naive strategy select top ranked nodes as identified some centrality indices, other strategies are mainly based on greedy methods heuristic methods. However, most those approaches did not concern connections between nodes. Usually, distances selected very close,...
Information flow in social network is assumed to be transmitted from node through the edges of network. In real world, however, people are influenced not only by local neighbors but also out-of-network services and sources, such as mass media external websites. As a consequence, addition spreading edges, information can reach long-distance "jumping" cross Then one important issues coming out phenomenon is: how do these affect diffusion process network? this paper we develop an algorithm...
Mining how network evolves is a crucial topic in extracting underlying information from networks. Among all the mechanisms, Common Neighbor (CN) and Preferential Attachment (PA) are basic efficient. Recently, new framework named Local-Community-Paradigm (LCP) provides self-organized mechanism about evolution of Via using community instead, we propose variant Local-Cross-Communities-Paradigm (LCCP). We compare four mechanisms test them on link prediction problems. Empirical analysis twelve...
The performance of the High Altitude Water Cherenkov Gamma-ray Observatory (HAWC) is mainly shaped by its event reconstruction methodologies, which take as input only footprint left on ground air shower. We discuss here revamped algorithms, including noise suppression cleaning, a refined core method using simulations to fit hit observation, addressing systematic error sources in direction reconstruction, and new gamma/hadron separation approach based more accurate model. As result, HAWC's...
In 2020, the HAWC Collaboration presented first catalog of gamma-ray sources emitting above 56 TeV and 100 TeV. With nine detected, this was highest-energy source to date. Here, we present results re-analysis old data, along with additional data acquired since then. We use a new version reconstruction software better pointing accuracy improved gamma/hadron separation. now see more than 25 TeV, most being located in Galactic plane. The vast majority these seem be leptonic pulsar wind nebulae,...
We present the results of applying a transformer-based deep learning neural network to data from HAWC Gamma-Ray Observatory. observes extensive air showers produced by very high energy gamma rays, and registers Cherenkov radiation shower photo-multiplier tubes (PMTs) instrumented in 300 large water detectors. The current method uses staged parameterized fitting PMT information find center incoming angular direction initiating gamma-ray, produces variables which can be used for separating...
High energy gamma-ray observations are an essential probe of cosmic-ray acceleration mechanisms. The detection the highest gamma rays and shortest timescales variability key to improve our understanding processes environment cosmic accelerators. Altitude Water Cherenkov (HAWC) experiment is a large field-of-view, multi-TeV, observatory continuously operating at 4100 m a.s.l. since March, 2015. HAWC has order magnitude better sensitivity, angular resolution, background rejection than previous...
We present an update of the survey Active Galaxies with High Altitude Water Cherenkov (HAWC) gamma-ray observatory. This work adds 567 days HAWC data to previously published survey, providing a refined analysis updated total exposure 2090 days. The sample includes 138 nearby AGNs from 3FHL catalog. fit modified power-law their very high energy spectra, including exponential attenuation caused by Extragalactic Background Light. found four sources significant detections (above 5$\sigma$):...