yusuke1997/dblp-id-title huggingface dataset:
Column-oriented algebraic iterative methods for nonnegative constrained least squares problems
An algorithm for solving linear Volterra integro-differential equations
The effective order of singly-implicit Runge-Kutta methods
Spectral analysis of the preconditioned system for the 3 × 3 block saddle point problem
Continuation Newton methods with deflation techniques for global optimization problems
Stancu type generalization of the q-Phillips operators
Incremental unknowns in three-dimensional stationary problem
A class of a posteriori parameter choice rules for filter-based regularization schemes
On branched continued fractions rational interpolation over pyramid-typed grids
New self-adaptive step size algorithms for solving split variational inclusion problems and its applications
Numerical solution of fractional advection-diffusion equation with a nonlinear source term
Rational approximants to symmetric formal Laurent series
On the unitary block-decomposability of 1-parameter matrix flows and static matrices
An innovative fourth-order numerical scheme with error analysis for Lane-Emden-Fowler type systems
The optimised Schwarz method and the two-Lagrange multiplier method for heterogeneous problems in general domains with two general subdomains
Fully numerical Laplace transform methods
A numerical approach for nonlinear time-fractional diffusion equation with generalized memory kernel
A Complex Mean Value Form for Curves
Fast surface reconstruction and hole filling using positive definite radial basis functions
Lemniscates 3D: a CAGD primitive?
Fast multipole methods for approximating a function from sampling values
The Immersed Interface Method for a Nonlinear Chemical Diffusion Equation with Local Sites of Reactions
A study of Schröder's method for the matrix pth root using power series expansions
Blind image deconvolution using a banded matrix method
Cut-edge centralities in an undirected graph
A parallel fast boundary element method using cyclic graph decompositions
MSSOR-based alternating direction method for symmetric positive-definite linear complementarity problems
A rotated shift-splitting method for complex symmetric linear systems
Fractal interpolation on the real projective plane
A nonsmooth Levenberg-Marquardt method for vertical complementarity problems
Rothe method and numerical analysis for history-dependent hemivariational inequalities with applications to contact mechanics
A matrix-less and parallel interpolation-extrapolation algorithm for computing the eigenvalues of preconditioned banded symmetric Toeplitz matrices
High-precision Gauss-Turán quadrature rules for Laguerre and Hermite weight functions
Error analysis of the exponential wave integrator sine pseudo-spectral method for the higher-order Boussinesq equation
Numerical Integration of Reaction-Diffusion Systems
Subdivision Schemes and Irregular Grids
Discrete Fourier analysis with lattices on planar domains
Unconditional optimal error estimates of linearized backward Euler Galerkin FEMs for nonlinear Schrödinger-Helmholtz equations
Determination of optimal convergence-control parameter value in homotopy analysis method
A truncated projected SVD method for linear discrete ill-posed problems
Stieltjes polynomials and Gauss-Kronrod quadrature formulae for measures induced by Chebyshev polynomials
Approximation of the capillarity problem by an augmented Lagrangian method
On some efficient derivative-free iterative methods with memory for solving systems of nonlinear equations
Untypical methods of convergence acceleration
Reliable Numerical Computation in Civil Engineering
An efficient algorithm for sparse null space basis problem using ABS methods
New error bounds for linear complementarity problems of Nekrasov matrices and B-Nekrasov matrices
Remarks on Multilevel Bases for Divergence-Free Finite Elements
A regularization method for Caputo fractional derivatives in the Banach space L ∞ [0, T]
Local and parallel multigrid method for semilinear Neumann problem with nonlinear boundary condition
Solving interval linear least squares problems by PPS-methods
An algorithm for the removal of noise and jitter in signals and its application to picosecond electrical measurement
Abel's lemma on summation by parts and terminating q -series identities
Preconditioned Richardson iteration for augmented linear systems
A stochastic two-step inertial Bregman proximal alternating linearized minimization algorithm for nonconvex and nonsmooth problems
Iterative polynomial interpolation and data compression
A modified ASOR-like method for augmented linear systems
Fitted schemes for Caputo-Hadamard fractional differential equations
Solving heat conduction problems by the Direct Meshless Local Petrov-Galerkin (DMLPG) method
Closed-form evaluations of certain definite integrals by employing the Cauchy integral theorem
Comparison of the EM algorithm and alternatives
Convergence analysis of Picard-SP iteration process for generalized α-nonexpansive mappings
Convergence and spectral analysis of the Frontini-Sormani family of multipoint third order methods from quadrature rule
A new low-cost feasible projection algorithm for pseudomonotone variational inequalities
Caputo fractional derivative of α-fractal spline
An optimal error bound for a finite element approximation of spatially extended predator-prey interaction model
On extending backwards positive definite sequences
Incomplete projection algorithms for solving the convex feasibility problem
Inertial manifolds and linear multi-step methods
On estimating the separation associated with the periodic continuous Sylvester equation
Variance-based stochastic projection gradient method for two-stage co-coercive stochastic variational inequalities
Quasi- L p norm orthogonal Galerkin expansions in sums of Jacobi polynomials - Orthogonal expansions
A note on the H 1-convergence of the overlapping Schwarz waveform relaxation method for the heat equation
Numerical methods based on the Floater-Hormann interpolants for stiff VIEs
Modified complex-symmetric and skew-Hermitian splitting iteration method for a class of complex-symmetric indefinite linear systems
On computing the zeros of a class of Sobolev orthogonal polynomials
Natural Gradient Primal-Dual Method for Decentralized Learning
Graph Signal Reconstruction Under Heterogeneous Noise via Adaptive Uncertainty-Aware Sampling and Soft Classification
TACC: Topology-Aware Coded Computing for Distributed Graph Processing
A Proximal Gradient Method With Probabilistic Multi-Gossip Communications for Decentralized Composite Optimization
Optimization Based Sensor Placement for Multi-Target Localization With Coupling Sensor Clusters
Kernel Regression for Matrix-Variate Gaussian Distributed Signals Over Sample Graphs
Distributed Optimization for Estimation and Communication Co-Design Under Bandwidth Constraints
Causal Inference From Slowly Varying Nonstationary Processes
Adaptive Polling in Hierarchical Social Networks Using Blackwell Dominance
Energy Efficient Spectrum Allocation and Mode Selection for D2D Communications in Heterogeneous Networks
Detection of False Data Injection Attacks in Industrial Wireless Sensor Networks Exploiting Network Numerical Sparsity
Scalable Perception-Action-Communication Loops With Convolutional and Graph Neural Networks
RNGCNs: Robust Norm Graph Convolutional Networks in the Presence of Missing Data and Large Noises
Learning Overlapping Community-Based Networks
Decentralized Dynamic Optimization for Power Network Voltage Control
Optimum Distributed Estimation of a Spatially Correlated Random Field
Auxiliary Particle Filtering Over Sensor Networks Under Protocols of Amplify-and-Forward and Decode-and-Forward Relays
Node-Centric Graph Learning From Data for Brain State Identification
Collision Resolution With FM0 Signal Separation for Short-Range Random Multi-Access Wireless Network
Bipartite Graph Approximation by Eigenvalue Optimization
Auto-Weighted Multi-View Deep Non-Negative Matrix Factorization With Multi-Kernel Learning
Gaussian Processes on Graphs Via Spectral Kernel Learning
State Estimation for Discrete-Time Complex Networks With Time-Varying Outer Coupling and Uncertain Inner Coupling: A Distributed Method
Preset-Time Robust Multi-Objective Optimization Over Directed Networks Based On Multi-Agent Framework
Vertex-Frequency Analysis of Brain Networks: Unveiling the Connection Between Structure-Function Coupling and Cognitive Ability
Decentralized Singular Value Decomposition for Feature-Wise Partitioned Data in Large-Scale Distributed Sensor Networks
Adaptive Least Mean Squares Estimation of Graph Signals
Fair Contrastive Learning on Graphs
Theoretical Analysis of the Measurement Transportation Algorithm to Fuse Delayed Data in Distributed Sensor Networks
Distributed State Estimation Under Random Parameters and Dynamic Quantizations Over Sensor Networks: A Dynamic Event-Based Approach
Extended Adjacency and Scale-Dependent Graph Fourier Transform via Diffusion Distances
On Trajectory Design for Intruder Detection in Wireless Mobile Sensor Networks
Explainable Spatio-Temporal GCNNs for Irregular Multivariate Time Series: Architecture and Application to ICU Patient Data
Ensemble of Distributed Learners for Online Classification of Dynamic Data Streams
On the Exponential Approximation of Type II Error Probability of Distributed Test of Independence
Massively Distributed Graph Distances
Defective Sensor Identification for WSNs Involving Generic Local Outlier Detection Tests
Community Detection From Multiple Observations: From Product Graph Model to Brain Applications
Distributionally Robust Radio Frequency Localization
Minimal Sufficient Conditions for Structural Observability/Controllability of Composite Networks via Kronecker Product
Optimal Curing Strategy for Competing Epidemics Spreading Over Complex Networks
Distributed Sensor Networks Based Shallow Subsurface Imaging and Infrastructure Monitoring
Distributed Robust Bayesian Filtering for State Estimation
Event-Triggered Adaptive Tracking Control for Multi-Agent Systems With Multiple Uncertainties
Online Change Point Detection for Weighted and Directed Random Dot Product Graphs
Graph Distributional Signals for Regularization in Graph Neural Networks
Sensor Selection and Design for Binary Hypothesis Testing in the Presence of a Cost Constraint
Multi-Bit & Sequential Decentralized Detection of a Noncooperative Moving Target Through a Generalized Rao Test
Joint Optimization of Radio and Computational Resources for Multicell Mobile-Edge Computing
User Association and Hybrid Beamforming Designs for Cooperative mmWave MIMO Systems
Distributed Bernoulli Filtering Using Likelihood Consensus
State Estimation of Stochastic Boolean Networks Facing State-Dependent Packet Dropouts: An Interactive Coupled Estimation Method
Fast Kernel-Based Sampling of Graph Signals Using Localized Graph Filter Impulse Responses
Event-Triggered Data-Driven Distributed LFC Using Controller-Dynamic-Linearization Method
CBDS 2 R: A Cluster-Based Depth Source Selection Routing for Underwater Wireless Sensor Network
Identifying Influential Links for Event Propagation on Twitter: A Network of Networks Approach
On Scalable Matching Algorithm for Multi-Targets Over Bearing-Only Sensor Networks
Distributed Optimisation With Linear Equality and Inequality Constraints Using PDMM
Bayesian Inference of Network Structure From Information Cascades
Recursive Distributed Filter Design for 2-D Systems Over Sensor Networks: On Component-Based, Node-Wise and Dynamic Event-Triggered Scheme
An ADMM-Based Approach to Quadratically-Regularized Distributed Optimal Transport on Graphs
Robust Online Modeling of Counts in Agent Networks
On Bayesian Fisher Information Maximization for Distributed Vector Estimation
Variance-Constrained Distributed Filtering Under Limited Bit Rates for Time-Varying Systems
Joint Design of Sample and Node Weighting for Distributed Ordinal Regression Under Label Noise
Node Placement and Distributed Magnetic Beamforming Optimization for Wireless Power Transfer
Privacy Aware Stochastic Games for Distributed End-User Energy Storage Sharing
Robust Adaptive Steganography Based on Dither Modulation and Modification With Re-Compression
Cooperative Learning of Multi-Agent Systems Via Reinforcement Learning
Adaptive Event-Triggered State Estimation for Nonlinear Complex Networks With Uncertain Coupling Strengths and Data Integrity Attacks
Exploiting the Agent's Memory in Asymptotic and Finite-Time Consensus Over Multi-Agent Networks
Data Denoising and Compression for Smart Grid Communication
QoS-Driven Energy-Efficient Resource Allocation in Multiuser Amplify-and-Forward Relay Networks
Parallel Graph Signal Processing: Sampling and Reconstruction
Deep Transfer Reinforcement Learning for Beamforming and Resource Allocation in Multi-Cell MISO-OFDMA Systems
A Local Approach to Distributed $H_{\infty }$-Consensus State Estimation Over Sensor Networks Under Hybrid Attacks: Dynamic Event-Triggered Scheme
Information Cascades With Noise
Energy-Assisted Information Detection for Simultaneous Wireless Information and Power Transfer: Performance Analysis and Case Studies
Consensus Analysis for Cooperative-Competitive Multiagent Systems Under False Data Injection Attacks via Dynamic Event-Triggered Observers
Global Games With Noisy Information Sharing
Characterization and Inference of Graph Diffusion Processes From Observations of Stationary Signals
Federated Smoothing Proximal Gradient for Quantile Regression With Non-Convex Penalties
Distributed Event-Driven $ {\ell }_\infty$ Filtering in Switched Delayed Systems Over Sensor Networks Against Switching Signal Attacks
Distributed Sequential State Estimation Over Binary Sensor Networks With Inaccurate Process Noise Covariance: A Variational Bayesian Framework
Data-Driven Tree Transforms and Metrics
Model-Free Adaptive Control for Nonlinear Multi-Agent Systems With Encoding-Decoding Mechanism
Power Control Games Between Anchor and Jammer Nodes in Wireless Localization Networks
Resilient Consensus with Mobile Detectors Against Malicious Attacks
Distributed Prediction via Adaptive Hammerstein Filter Over Networked Systems
Recursive Secure Filtering Over Gilbert-Elliott Channels in Sensor Networks: The Distributed Case
Temporal Multiple Rotation Averaging on a Distributed Dynamic Network
Distributed Long-Term Base Station Clustering in Cellular Networks Using Coalition Formation
Prescribed-Time Asynchronously Aperiodic Intermittent Dynamic Event-Triggered Control for Synchronization of Complex Networks
Optimal Forwarding in Opportunistic Delay Tolerant Networks With Meeting Rate Estimations
Distributed Widely Linear Multiple-Model Adaptive Estimation
Blue-Noise Sampling on Graphs
Introduction to the Issue on Distributed Information Processing in Social Networks
Incremental Coding for Extractable Compression in the Context of Massive Random Access
Distributed Learning Algorithms for Optimal Data Routing in IoT Networks
Graph Wedgelets: Adaptive Data Compression on Graphs Based on Binary Wedge Partitioning Trees and Geometric Wavelets
Estimation and Fusion for Tracking Over Long-Haul Links Using Artificial Neural Networks
Resampling and Network Theory
Joint Forecasting and Interpolation of Time-Varying Graph Signals Using Deep Learning
A Nonconvex Low Rank and Sparse Constrained Multiview Subspace Clustering via $l_{\frac{1}{2}}$-Induced Tensor Nuclear Norm
Weighted Average Consensus-Based Optimization of Advection-Diffusion Systems
Communication Compression for Decentralized Learning With Operator Splitting Methods
Understanding Popularity Dynamics: Decision-Making With Long-Term Incentives
Metadata-Conscious Anonymous Messaging
Improved Bounds for Max Consensus in Wireless Networks
Decentralized Topology Reconfiguration in Multiphase Distribution Networks
Distributed Network Time Synchronization: Social Learning Versus Consensus
Posting Behavior Dynamics and Active Filtering for Content Diversity in Social Networks
Online Bayesian Inference of Diffusion Networks
Graph Tikhonov Regularization and Interpolation Via Random Spanning Forests
Localization in Mobile Networks via Virtual Convex Hulls
Inferring Hidden Structures in Random Graphs
Recovery of Time-Varying Graph Signals via Distributed Algorithms on Regularized Problems
Resilience in Online Federated Learning: Mitigating Model-Poisoning Attacks via Partial Sharing
An Efficient Distributed Kalman Filter Over Sensor Networks With Maximum Correntropy Criterion
Distributed Signal Processing via Chebyshev Polynomial Approximation
Probability-Guaranteed Distributed Secure Estimation for Nonlinear Systems Over Sensor Networks Under Deception Attacks on Innovations
Dual Graph Regularized Dictionary Learning
Fastest Mixing Reversible Markov Chain: Clique Lifted Graphs and Subgraphs
Convergence of Distributed Flooding and Its Application for Distributed Bayesian Filtering
Decentralized Joint-Sparse Signal Recovery: A Sparse Bayesian Learning Approach
Stability of Aggregation Graph Neural Networks
Secure Information Sharing in Adversarial Adaptive Diffusion Networks
Distributed Time and Carrier Frequency Synchronization for Dense Wireless Networks
Distributed Dynamic State Estimation and LQG Control in Resource-Constrained Networks
Distributed Generalized Nash Equilibria Computation of Noncooperative Games Via Novel Primal-Dual Splitting Algorithms
Inter-Cluster Transmission Control Using Graph Modal Barriers
Practical Fixed-Time Consensus Tracking for Second-Order Multi-Agent Systems With Mismatched Disturbances
Memory-Enhanced Distributed Accelerated Algorithms for Coordinated Linear Computation
Mobile Access Coordinated Wireless Sensor Networks - Design and Analysis
Graph Convolutional Neural Networks Sensitivity Under Probabilistic Error Model
On Distributed Estimation in Hierarchical Power Constrained Wireless Sensor Networks
Parameter Mapping of Distribution Substitution for Inter-Point Distances in Random Networks
Probabilistic Reconstruction of Spatio-Temporal Processes Over Multi-Relational Graphs
A Distributed Control Paradigm for Smart Grid to Address Attacks on Data Integrity and Availability
Data Injection Attacks in Randomized Gossiping
CoRNI: A Co-Evolutionary Framework Integrating Reputation and Network Structure for Modeling Social Influence Dynamics
Network Topology Inference from Spectral Templates
Distributed Training of Large Graph Neural Networks With Variable Communication Rates
Distributed Linear Network Operators Based on Successive Graph Shift Matrices
Hidden Chinese Restaurant Game: Grand Information Extraction for Stochastic Network Learning
A Distributed Semiasynchronous Algorithm for Network Traffic Engineering
Scalable Distributed Optimization of Multi-Dimensional Functions Despite Byzantine Adversaries
Multiview Graph Learning With Consensus Graph
Simultaneous Detection of Multiple Change Points and Community Structures in Time Series of Networks
A Localized Primal-Dual Method for Centralized/Decentralized Federated Learning Robust to Data Heterogeneity
ADMM for Distributed Dynamic Beamforming
Deep Reinforcement Learning-Based Cloud-Edge Collaborative Mobile Computation Offloading in Industrial Networks
Distributed Nash Equilibrium Seeking for Nonlinear Players With Input Delay
Dynamic Quantized Event-Triggered Predictive Control for Networked Control Systems With DoS Attacks: A Hybrid System Approach
Gaussian Kernel Variance for an Adaptive Learning Method on Signals Over Graphs
Encoding-Decoding-Based Distributed Fusion Filtering for Multi-Rate Nonlinear Systems With Sensor Resolutions
Joint Sequential Target Estimation and Clock Synchronization in Wireless Sensor Networks
Differentially Private Distributed Resource Allocation via Deviation Tracking
Clustering and Community Detection With Imbalanced Clusters
Guest Editorial Inference and Learning over Networks
Exponential Synchronization of Reaction-Diffusion Systems on Networks via Asynchronous Intermittent Control
Wireless Compressive Sensing Over Fading Channels With Distributed Sparse Random Projections
Seeking Velocity-Free Consensus for Multi-Agent Systems With Nonuniform Communication and Measurement Delays
Fast-and-Secure State-Estimation in Dynamic-Control Over Communication Channels: A Game-Theoretical Viewpoint
Distributed Model-Free Funnel Control of Nonlinear Multiagent Systems With Switching Control Directions
Inhomogeneous Graph Trend Filtering via a $\ell _{2,0}$-Norm Cardinality Penalty
Byzantine-Robust Distributed Learning With Compression
Estimation of Relative Kinematic Parameters of an Anchorless Network
Controller Synthesis of Asynchronous Periodic Event-Triggered Networked Control Systems Subject to Quantization Effects
A Resilient Approach to Recursive Distributed Filtering for Multirate Systems Over Sensor Networks With Time-Correlated Fading Channels
Expander Recovery Performance of Bipartite Graphs With Girth Greater Than 4
Multilayer Spectral Graph Clustering via Convex Layer Aggregation: Theory and Algorithms
A Decentralized Second-Order Method with Exact Linear Convergence Rate for Consensus Optimization
Generalized Simplicial Attention Neural Networks
Message Passing-Based 9-D Cooperative Localization and Navigation With Embedded Particle Flow
Higher-Order GNNs Meet Efficiency: Sparse Sobolev Graph Neural Networks
Learning Networks From Wide-Sense Stationary Stochastic Processes
Signal Recovery on Graphs: Fundamental Limits of Sampling Strategies
Distributed Training of Graph Convolutional Networks
Remote State Estimation Under DoS Attacks in CPSs With Arbitrary Tree Topology: A Bayesian Stackelberg Game Approach
A Linearly Convergent Optimization Framework for Learning Graphs From Smooth Signals
A Multi-View Rumor Detection Framework Using Dynamic Propagation Structure, Interaction Network, and Content
Identification of Edge Disconnections in Networks Based on Graph Filter Outputs
Multi-Bit Distributed Detection of Sparse Stochastic Signals Over Error-Prone Reporting Channels
Joint Statistical Mask Learning and Distributed Estimation Without Support Priors
Data Falsification Attacks on Consensus-Based Detection Systems
Finite-Time Distributed Filtering for Multi-Rate Nonlinear Systems Suffering From Denial-of-Service Attacks: A Binary Encoding Scheme
Multi-Slot Distributed Measurement Selection: A Sparsity Learning Approach
Bias-Constrained Optimal Fusion Filtering for Decentralized WSN With Correlated Noise Sources
BRIDGE: Byzantine-Resilient Decentralized Gradient Descent
Learning Hypergraphs Tensor Representations From Data via t-HGSP
Recursive Tensor Subspace Tracking for Dynamic Brain Network Analysis
Proof of the Equivalency of MSE-Constrained and Rate-Constrained Power Optimization Approaches to Distributed Bi-Directional Beamforming
Fully Distributed Game Strategy for Second-Order Players and Its Application to Networked Electricity Markets
Collaborative Multi-Sensing in Energy Harvesting Wireless Sensor Networks
Distributed Attack Detection and Secure Estimation of Networked Cyber-Physical Systems Against False Data Injection Attacks and Jamming Attacks
Distributed Adaptive Signal Fusion for Fractional Programs
Distributed Event-Triggered Fault-Tolerant Consensus Control of Multi-Agent Systems Under DoS Attacks
Tensor Recursive Least Squares Filters for Multichannel Interrelational Signals
Multiscale Representation Learning of Graph Data With Node Affinity
DeepTrace: Learning to Optimize Contact Tracing in Epidemic Networks With Graph Neural Networks
Information Fusion via Importance Sampling
Quickest Search for Local Structures in Random Graphs
Strong Convergence of a Random Actions Model in Opinion Dynamics
Distributed Production-Sharing Optimization and Application to Power Grid Networks
Improved Diffusion Recursive Least Squares for Graph Signal Estimation on Distributed Network
Privacy-Preserving Push-Pull Method for Decentralized Optimization via State Decomposition
Data Trading With Multiple Owners, Collectors, and Users: An Iterative Auction Mechanism
Detection and Recovery of Hidden Submatrices
Distributed Convex Optimization "Over-the-Air" in Dynamic Environments
Causal Learning and Knowledge Fusion Mechanism for Brain Functional Network Classification
Graph Signal Denoising via Trilateral Filter on Graph Spectral Domain