A5065303489- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Transportation Planning and Optimization
- Complex Systems and Time Series Analysis
- Photonic Crystal and Fiber Optics
- Traffic Prediction and Management Techniques
- Advanced Fiber Laser Technologies
- Human Mobility and Location-Based Analysis
- Laser-Matter Interactions and Applications
- Mental Health Research Topics
- Network Traffic and Congestion Control
- Video Surveillance and Tracking Methods
- Traffic control and management
- Automated Road and Building Extraction
- Advanced Optical Network Technologies
- Stochastic processes and statistical mechanics
- Advanced Neural Network Applications
- Statistical Mechanics and Entropy
- Graph theory and applications
- Nonlinear Dynamics and Pattern Formation
- COVID-19 epidemiological studies
- Vehicular Ad Hoc Networks (VANETs)
- Evolutionary Game Theory and Cooperation
- Advanced Fiber Optic Sensors
- Opportunistic and Delay-Tolerant Networks
Shanghai Artificial Intelligence Laboratory
2023-2024
Fudan University
2019-2024
Beijing Academy of Artificial Intelligence
2023-2024
Hainan University
2023
East China Normal University
2008-2019
Xi’an University of Posts and Telecommunications
2019
Xi'an Institute of Optics and Precision Mechanics
2014-2016
Chinese Academy of Sciences
2012-2014
Abstract Graphene, whose absorbance is approximately independent of wavelength, allows broadband light–matter interactions with ultrafast responses. The interband optical absorption graphene can be saturated readily under strong excitation, thereby enabling scientists to exploit the photonic properties realize lasers. evanescent field interaction scheme propagating light covered on a D-shaped fibre or microfibre has been employed extensively because nonblocking configuration. Obviously, most...
We propose a compact nanotube-mode-locked all-fiber laser that can simultaneously generate picosecond and femtosecond solitons at different wavelengths. The pulse durations of are measured to be ∼10.6 ps ∼466 fs, respectively. Numerical results agree well with the experimental observations clearly reveal dynamic evolutions qualitatively distinct in intracavity. Our study presents simple, stable, low-cost, dual-scale ultrafast-pulsed source suitable for practical applications optical communications.
Online Social Networks generate a prodigious wealth of real-time information at an incessant rate. In this paper we study the empirical data that crawled from Twitter to describe topology and spreading dynamics Networks. We propose measurement with three measures state efforts users on get their spreading, based unique mechanisms for retransmission Twitter. It is noticed small fraction special performance participation can gain great influence, while most other play role as middleware during...
This paper proposes a recursive traffic percolation framework to capture the dynamics of cascading failures and analyze potential overloaded bottlenecks. In particular, compared current work, influence external flow is considered, providing new perspective for study regional commuting. Finally, we present an empirical verify accuracy effectiveness our framework. Further analysis indicates that flows from different regions affect network. Our work requires only primary data verifies...
We introduce a stochastic model to explain double power-law distribution which exhibits two different Paretian behaviors in the upper and lower tail widely exists social economic systems. The incorporates fitness consideration noise fluctuation. find that if number of variables (e.g. degree nodes complex networks or people's incomes) grows exponentially, normal distributed coupled with exponentially increasing variable is responsible for emergence distribution. Fluctuations do not change...
In this paper, we focus on vehicle detection algorithms from UAV images in intelligent transportation applications. We propose an improved YOLOX model called CCHYOLOX for the problems of dense distribution and drastic scale changes targets viewpoint. Firstly, construct a novel plug-and-play module, Correlation Extraction Feature Fusion (CEFF), to process multi-layer adaptive fusion pyramidal features. It enables features adjacent layers by adding spatial-awareness extracting global channels...
A tunable dissipative soliton fiber laser based on carbon nanotubes and the nonlinear polarization rotation (NPR) technique has been investigated experimentally numerically for first time to author's best knowledge. The proposed delivers strongly chirped solitons with pulse duration of ∼220 ps a spectral width ∼5.6 nm. With NPR-related filtering effect, output pulses are wavelength over range from 1566 1593 nm by adjusting controller (PC). Numerical results in good agreement experimental...
In the realm of online social networks, spreading information is influenced by a complex interplay factors. To explore dynamics one-time retweet spreading, we propose Susceptible–Infected–Completed (SIC) multi-information model. This model captures how multiple pieces interact in networks introducing inhibiting and enhancement The SIC considers completed state, where nodes cease to spread particular piece after transmitting it. It also takes into account impact past present received from...
Coinfection mechanism is a common interacting mode between multiple diseases in real spreading processes, where the mutually increase their susceptibility, and has aroused widespread studies network science. We use bond percolation theory to characterize coinfection model under two self-awareness control strategies, including immunization strategy quarantine strategy, study impacts of synergy effect strategies on cooperative epidemics. find that strengthening can reduce epidemic threshold...
We have experimentally observed three types of sidebands in a passively mode-locked soliton fiber laser with large anomalous dispersion for the first time to our best knowledge. By appropriately adjusting polarization state cavity, conventional peak sidebands, peak-dip and dip appear spectra, respectively. The exhibit distinct characteristics from sidebands. formation mechanism new type can be attributed periodic power variation. This work could help deeper insight spectrum shaping solitons.
Although Gibrat's law and its generalized versions have been widely used, the organizing principle behind phenomenological theory has poorly studied for network-structured systems. More important, fluctuation behavior, which contradicts prediction of preferential attachment (PA), indicates a nontrivial mechanism that goes beyond our present knowledge based on traditional mean-field approach. Here, we take advantage rich data Internet aim to identify origin by studying empirical behavior. We...
Nuclear reaction rate λ is a significant factor in processes of nucleosyntheses. A multi-layer directed-weighted nuclear network, which the taken as weight, and neutron, proton, 4 He remainder nuclei criteria for different layers, first time built based on all thermonuclear reactions JINA REACLIB database. Our results show that with increase stellar temperature T 9 , distribution rates R-layer network demonstrates transition from unimodal to bimodal distributions. Nuclei region = [1,2.5 × 10...
The traditional Gibrat's hypotheses were once used to model the topological fluctuations of Internet. Although it seems reproduce scaling relation Internet's degree distribution, detailed micro-dynamics have never been empirically validated. Here, we analyze distribution growth rates Internet for various time scales. We find that in contrast assumptions, none are normally distributed, but behaves as an exponential decrease on its body and a power-law decay tail. Moreover, observed rate turns...
The nuclear reaction network is usually studied via precise calculation of differential equation sets, and much research interest has been focused on the characteristics nuclides, such as half-life size limit. In this paper, however, we adopt methods from both multilayer networks, obtain a distinctive view by mapping all reactions in JINA REACLIB database into directed with 4 layers: neutron, proton, $^4$He remainder. layer names correspond to types decided currency particles consumed. This...
Network transmission capacity is an important guarantee for the normal operation of network. The effective routing strategy avoids use nodes with large degree value, which leads to low utilization and failure consider priorities different packets. On this basis, a algorithm based on packet source node classification proposed. This introduces adjustable parameter. By adjusting parameter, data packets generated at are transferred higher degree, say they can reach destination faster....
A novel push-pull modulator based scheme to generate W-band millimeter-wave (mm-wave) vector signal was proposed and experimentally demonstrated. Related an I/Q modulator, has the advantages of simple architecture, small insertion loss low cost. Through combining one 40 GHz upper sideband (USB) using a quadrature-phase-shift-keying (QPSK) modulation with -40 unmodulated lower (LSB), QPSK modulated 4 G-Baud 80 single mm-wave successfully generated.
The time-order of interactions, which is regulated by some intrinsic activity, surely plays a crucial role regarding the transport efficiency transportation systems. Here we study optimal structure measure length time-respecting paths. Our network built from two-dimensional regular lattice, and long-range connections are allocated with probability ${P}_{ij}\ensuremath{\sim}{r}_{ij}^{\ensuremath{-}\ensuremath{\alpha}}$, where ${r}_{ij}$ Manhattan distance. By assigning each shortcut an...