A5100462320- Advanced Mathematical Physics Problems
- Navier-Stokes equation solutions
- Nonlinear Partial Differential Equations
- Advanced Graph Neural Networks
- Advanced Mathematical Modeling in Engineering
- Network Traffic and Congestion Control
- Topic Modeling
- Stability and Controllability of Differential Equations
- Mobile Ad Hoc Networks
- Opportunistic and Delay-Tolerant Networks
- Advanced Wireless Network Optimization
- Computational Fluid Dynamics and Aerodynamics
- Wireless Networks and Protocols
- Differential Equations and Numerical Methods
- Rough Sets and Fuzzy Logic
- Cognitive Computing and Networks
- Mobile Agent-Based Network Management
- Machine Learning in Healthcare
- Hydrology and Watershed Management Studies
- Energy Efficient Wireless Sensor Networks
- Advanced Queuing Theory Analysis
- Hydrological Forecasting Using AI
- Nonlinear Differential Equations Analysis
- Fractional Differential Equations Solutions
- Differential Equations and Boundary Problems
Inner Mongolia University
2024-2025
Yangzhou University
2019-2024
Changzhou Institute of Technology
2024
University of Chinese Academy of Sciences
2009-2023
Gannan Normal University
2018
Chinese Academy of Sciences
2015-2016
Northwest Institute of Eco-Environment and Resources
2016
China Three Gorges University
2016
Hubei University
2015
National University of Defense Technology
2012
This paper is concerned with flow control and resource allocation problems in computer networks which real-time applications may have hard quality of service (QoS) requirements. Recent optimal approaches are unable to deal these since QoS utility functions generally do not satisfy the strict concavity condition applications. For elastic traffic, we show that bandwidth allocations using existing strategy can be quite unfair. If consider different requirements among network users, it...
Linear Graph Convolutional Networks (GCNs) are used to classify the node in graph data. However, we note that most existing linear GCN models perform neural network operations Euclidean space, which do not explicitly capture tree-like hierarchical structure exhibited real-world datasets modeled as graphs. In this paper, attempt introduce hyperbolic space into and propose a novel framework for Lorentzian GCN. Specifically, map learned features of nodes then feature transformation underlying...
In this paper, we study the combined effect of concave and convex nonlinearities on number nontrivial solutions for p-biharmonic equation form � 2 u = j uj q−2 + �f(x)j r−2 in , r 0 @,
<abstract><p>Based on properties of Green's function and the some conditions $ f(t, u) $, we found a minimal maximal positive solution by method sequence approximation. Moreover, based fixed point index theorem, existence multiple solutions for singular p $-Laplacian fractional differential equation with infinite-point boundary was obtained and, at last, an example given to demonstrate validity our main results.</p></abstract>
Quaternion contains one real part and three imaginary parts, which provided a more expressive hypercomplex space for learning knowledge graph. Existing quaternion embedding models measure the plausibility of triplet either through semantic matching or geometric distance scoring functions. However, it appears that diminishes separability entities, while function weakens semantics entities. To address this issue, we propose novel graph model. Our model combines with entity's to better...
Entity alignment aims to match identical entities across different knowledge graphs (KGs). Graph neural network-based entity methods have achieved promising results in Euclidean space. However, KGs often contain complex structures, including both local and hierarchical ones, which make it challenging efficiently represent them within a single In this paper, we proposed novel method UniEA, unifies dual-space embedding preserve the intrinsic structure of KGs. Specifically, learn graph...
This paper addresses flow control and resource allocation problem for heterogeneous wireless sensor networks which consist of diverse types applications. The performance these applications, either elastic data collecting or real-time monitoring, is modelled as a utility function the source rate. traditional optimal approach, requires to be strictly concave, no longer applicable because realtime applications involved. Therefore, we propose new utility-based framework that able allocate...
现有Ad hoc网络路由协议技术研究中，路由稳定性和可靠性问题尚未得到很好解决，不能很好地适应Ad hoc网络。针对已有Ad hoc路由技术中存在的开销大以及网络稳定性较低的问题，该文引入蚁群算法，并对其进行改进。研究基于改进蚂蚁算法的Ad hoc 路由协议，并与比较成熟的AODV(Ad On-Demand Distance Vector)进行对比。仿真实验结果表明，通过发挥网络中结点群体功能，新协议减小了端对端传输延时，改善了数据包传输成功率与协议开销，有效地提高了网络的稳定性和通信效率。
In this paper, we establish new regularity criteria for the three-dimensional (3D) viscous incompressible magnetohydrodynamic (MHD) equations. It is proved that if solution of MHD equations satisfies u3∈Lp(0,T;Lq(R3)),j3∈Lr(0,T;Ls(R3)),2p+3q=1324,7213≤q≤∞;2r+3s=2,32&lt;s≤∞ or u3∈Lp(0,T;Lq(R3)),w3∈Lr(0,T;Ls(R3)),2p+3q=1324,7213≤q≤∞;2r+3s=2,32&lt;s≤∞, then on (0, T), where u3, j3 and ω3 are third component velocity u, current density ∇ × b vorticity respectively. These results give...