Change Point Detection in Dynamic Networks via Regularized Tensor Decomposition
Dynamic network captures time-varying interactions among multiple entities at different time points, and detecting its structural change points is of central interest. This article proposes a novel…
Fast Community Detection in Dynamic and Heterogeneous Networks
Dynamic heterogeneous networks describe the temporal evolution of interactions among nodes and edges of different types. While there is a rich literature on finding communities in dynamic networks,…
Learning Human Activity Patterns Using Clustered Point Processes With Active …
Modeling event patterns is a central task in a wide range of disciplines. In applications such as studying human activity patterns, events often arrive clustered with sporadic and long periods of i…
Meta-Learning Assisted Source Domain Optimization for Transfer Learning Based…
Transfer learning (TL) has been demonstrated its feasibility on fast remodeling for fiber nonlinearity equalization. It will be very efficient with fine-tuning rather than retraining when the chann…
Technical Note—On the Strength of Relaxations of Weakly Coupled Stochastic …
Many stochastic dynamic programs (DPs) have a weakly coupled structure in that a set of linking constraints in each period couples an otherwise independent collection of subproblems. Two widely stu…
Monte Carlo Algorithms for Identifying Densely Connected Subgraphs
The problem of finding densely connected subgraphs in a network has attracted a lot of recent interest. Such subgraphs are sometimes referred to as communities in social networks or molecular modul…
Bias-Correction and Test for Mark-Point Dependence with Replicated Marked Poi…
Mark-point dependence plays a critical role in research problems that can be fitted into the general framework of marked point processes. In this work, we focus on adjusting for mark-point dependen…
Latent Network Structure Learning From High-Dimensional Multivariate Point Pr…
Learning the latent network structure from large scale multivariate point process data is an important task in a wide range of scientific and business applications. For instance, we might wish to e…
Sion’s Minimax Theorem in Geodesic Metric Spaces and a Riemannian Extragrad…
Deciding whether saddle points exist or are approximable for nonconvex-nonconcave problems is usually intractable. This paper takes a step towards understanding a broad class of nonconvex-nonconcav…
Nonlinear-Fourier-Transform-Based Dynamic Analyses on the Multiple Cavity Sol…
The Kerr microresonators have aroused widespread interests for their ultrahigh integration, compatible fabrication and ultralow energy consumption. Similar to the traditional mode-locked fiber lase…
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