In this paper, we propose the variance reduction based method for the convex and non-convex composition problem. We apply the stochastically controlled stochastic gradient to estimate inner function G(x) and the gradient of f(x). The query complexit…

In this paper, we consider the convex and non-convex composition problem with the structure $\frac{1}{n}\sum\nolimits_{i = 1}^n {{F_i}( {G( x )} )}$,…

We propose a novel methodology for feature screening in clustering massive datasets, in which both the number of features and the number of observati…

Visual question answering (VQA) is challenging because it requires a simultaneous understanding of both the visual content of images and the textual …

With explosive growth of data volume and ever-increasing diversity of data modalities, cross-modal similarity search, which conducts nearest neighbor…

In this paper, we study the resource allocation problem for a single-cell non-orthogonal multiple access (NOMA) relay network where an OFDM amplify-a…

The stochastic Landau--Lifshitz--Gilbert (LLG) equation coupled with the Maxwell equations (the so called stochastic MLLG system) describes the creat…

This paper investigates a wireless-powered two-way relay network (WP-TWRN), in which two sources exchange information with the aid of one amplify-and…

In this work, we consider a mobile edge computing system with both ultra-reliable and low-latency communications services and delay tolerant services…

The interaction of optical and acoustic waves via stimulated Brillouin scattering (SBS) has recently reached on-chip platforms, which has opened new …

In this paper, we study a X-duplex relay system with one source, one amplify-and-forward (AF) relay and one destination, where the relay is equipped …

A deterministic multiscale toy model is studied in which a chaotic fast subsystem triggers rare transitions between slow regimes, akin to weather or …

An understanding of cosmic magnetism requires converting the polarization properties of extragalactic radio sources into the rest-frame in which the …

We present a framework for learning to plan hierarchically in domains with unknown dynamics. We enhance planning performance by exploiting problem st…

We present an algorithm for receding-horizon motion planning using a finite family of motion primitives for underactuated dynamic walking over uneven…

We develop a spectral method for solving univariate singular integral equations over unions of intervals by utilizing Chebyshev and ultraspherical po…

We formalize the problem of learning interdomain correspondences in the absence of paired data as Bayesian inference in a latent variable model (LVM)…

In this paper, we consider a wireless-powered cooperative communication network, which consists of one hybrid access point (AP), one source and one r…

Human faces in surveillance videos often suffer from severe image blur, dramatic pose variations, and occlusion. In this paper, we propose a comprehe…

The stochastic Landau--Lifshitz--Gilbert (LLG) equation describes the behaviour of the magnetization under the influence of the effective field consi…

Let $M$ be any compact four-dimensional PL-manifold with or without boundary (e.g. the four-dimensional sphere or ball). Consider the space $T(M)$ of…

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