A5035856274- Advanced MIMO Systems Optimization
- Energy Harvesting in Wireless Networks
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Neural Networks Stability and Synchronization
- Cooperative Communication and Network Coding
- Advanced Optical Network Technologies
- Advanced Wireless Communication Technologies
- Distributed Control Multi-Agent Systems
- Wireless Communication Security Techniques
- Error Correcting Code Techniques
- Antenna Design and Analysis
- Sparse and Compressive Sensing Techniques
- Satellite Communication Systems
- Matrix Theory and Algorithms
- Magnetic properties of thin films
- Advanced Wireless Communication Techniques
- Optical Wireless Communication Technologies
- Advanced X-ray Imaging Techniques
- Traditional Chinese Medicine Analysis
- Mathematical and Theoretical Epidemiology and Ecology Models
- Network Traffic and Congestion Control
- Peer-to-Peer Network Technologies
- Caching and Content Delivery
- Infrastructure Resilience and Vulnerability Analysis
Tsinghua University
2015-2025
Beijing Normal University
2013-2023
Central South University
2021-2023
Hebei Normal University
2017-2023
National Engineering Research Center for Information Technology in Agriculture
2020-2022
Stanford University
2013-2022
SLAC National Accelerator Laboratory
2015-2022
Menlo School
2016-2022
Harbin Engineering University
2021
University of Science and Technology of China
2021
Controlling complex networks is of paramount importance in science and engineering. Despite the recent development structural controllability theory, we continue to lack a framework control undirected networks, especially given link weights. Here introduce an exact paradigm based on maximum multiplicity identify minimum set driver nodes required achieve full with arbitrary structures link-weight distributions. The reproduces directed characterized by matrices. We explore large number real...
Deep multitask networks, in which one neural network produces multiple predictive outputs, can offer better speed and performance than their single-task counterparts but are challenging to train properly. We present a gradient normalization (GradNorm) algorithm that automatically balances training deep models by dynamically tuning magnitudes. show for various architectures, both regression classification tasks, on synthetic real datasets, GradNorm improves accuracy reduces overfitting across...
This paper focuses on construction workers’ unsafe behaviors and develops a cognitive model of (CM-CWUB). In the industry, many accident investigations reveal that are most frequent direct causes on-site accidents, thus need to be addressed urgently. Based social psychology theories existing causation models, this CM-CWUB by adopting five-stage form, specifically representing processes when confronted with potential hazards sites. Using perspective can mechanism human error elucidate how...
Mobile edge computing (MEC) emerges recently as a promising solution to relieve resource-limited mobile devices from computation-intensive tasks, which enables offload workloads nearby MEC servers and improve the quality of computation experience. Nevertheless, by considering system consisting multiple users with stochastic task arrivals wireless channels in this paper, design offloading policies is challenging minimize long-term average cost terms power consumption buffering delay. A deep...
We develop a general framework to analyze the controllability of multiplex networks using multiple-relation and multiple-layer with interlayer couplings as two classes prototypical systems. In former, associated different physical variables share same set nodes in latter, diffusion processes take place. find that, for network, layer exists that dominantly determines whole network and, small fraction interconnections can enhance remarkably. Our theory is generally applicable other types well,...
Mobile edge computing (MEC) is a promising solution to enable resource-limited mobile devices offload computation-intensive tasks nearby servers. In this paper, dynamic computation offloading in non-orthogonal multiple access (NOMA) based multi-user network investigated by considering stochastic task arrivals and wireless channels. Specifically, cooperative multi-agent deep reinforcement learning (CMADRL) framework proposed learn decentralized policies allocate local execution powers at each...
X-ray magnetic circular dichroism spectroscopy using an free electron laser is demonstrated with spectra over the Fe L3,2-edges. The high brightness of combined accuracy detection incident and transmitted X-rays enables ultrafast studies unprecedented sensitivity. This new capability applied to a study all-optical switching dynamics Gd sublattices in GdFeCo thin film above its magnetization compensation temperature.
Abstract Controlling complex networked systems to desired states is a key research goal in contemporary science. Despite recent advances studying the impact of network topology on controllability, comprehensive understanding synergistic effect and individual dynamics controllability still lacking. Here we offer theoretical study with particular interest diversity dynamic units characterized by different types dynamics. Interestingly, find global symmetry accounting for invariance respect...
In this paper, we consider a fully sustainable cooperative communication system which consists of multiple source nodes with radio-frequency (RF) energy harvesting capabilities, half-duplex relay node renewable supplies, and destination node. Specifically, the is powered by green harvested from sources such as solar or wind, while are wirelessly charged RF node's forwarding signals to An optimal joint time scheduling power allocation problem formulated achieve maximum sum-throughput users...
In this letter, we study the hybrid-field cascaded channel estimation in extremely large-scale RIS (XL-RIS) assisted multi-user millimeter wave systems, where is composed of far-field and near-field radiation components, has spatial non-stationarity caused by visibility regions. We propose a U-shaped network based on dedicated multilayer perceptron (MLP) architecture, termed as U-MLP, to realize high-dimensional reconstruction with limited pilot overhead. basic feature extraction...
Resonant X-ray absorption, where an photon excites a core electron into unoccupied valence state, is essential process in many standard spectroscopies. With increasing intensity, the absorption strength expected to become nonlinear. Here, we report onset of such nonlinearity resonant magnetic Co/Pd multilayers near Co L[Formula: see text] edge. The directly observed through change spectrum, which modified less than 40 fs within 2 eV its threshold. This interpreted as redistribution electrons...
Edge computing in vehicles is emerging as an essential candidate for the Internet of Vehicles (IoV) to improve traffic efficiency. The proliferation IoV pushes horizon edge computing. social features and connections among are significant efficiency solutions. However, it quite challenging perform collaborative (CEC) systems because network heterogeneity, vehicle mobility, user selfishness, privacy, so on. This article focuses on CEC, system alleviate urban congestion. Recent research reveals...
Abstract When materials are exposed to X-ray pulses with sufficiently high intensity, various nonlinear effects can occur. The most fundamental one consists of stimulated electronic decays after resonant absorption X-rays. Such enhance the number emitted photons and emission direction is confined that stimulating incident which clone themselves in process. Here we report observation elastic (REXS) inelastic (RIXS) scattering near cobalt L 3 edge solid Co/Pd multilayer samples. We observe an...
We present a scanning transmission x-ray microscopy setup combined with novel microwave synchronization scheme for studying high frequency magnetization dynamics at synchrotron light sources. The sensitivity necessary to detect small changes in the on short time scales and nanometer spatial dimensions is achieved by combining excitation mechanism single photon counting electronics that locked operation frequency. Our instrument capable of creating direct images dynamical phenomena 5-10 GHz...
Light-matter interaction at the nanoscale in magnetic materials is a topic of intense research view potential applications next-generation high-density recording. Laser-assisted switching provides pathway for overcoming material constraints high-anisotropy and high-packing density media, though much about dynamics process remains unexplored. We use ultrafast small-angle x-ray scattering an free-electron laser to probe FePt nanoparticles embedded carbon matrix following excitation by optical...
In this paper, a joint beamforming design for energy-throughput tradeoff is investigated in sustainable cloud radio access network, where multiple remote heads powered by independent renewable energy sources collaboratively transmit wireless information and to the data receiver simultaneously. To explore optimal both time-invariant time-varying channels, first, optimization problems are formulated maximize throughput of while charging with sufficient radio-frequency over finite time horizon....