The unprecedented growth in wireless Internet-of-Things and WiFi devices has renewed
interest in mechanisms for efficient spectrum reuse. Existing schemes require some level of …

The unprecedented increase in the number of wireless-connected devices requires novel
solutions to improve the data rate at low latency. Reference signals overhead reduction is a …

A core task in multi-modal learning is to integrate information from multiple feature spaces
(eg, text and audio), offering modality-invariant essential representations of data. Recent …

The ever-growing demands on wireless connectivity, especially with the emergence of
various data-intensive low-latency applications, require novel multiplexing solutions capable …

In cellular networks, the performance of cell-edge users is notably deficient, especially for
those receiving almost comparable signal strengths from the serving base station (BS) and …

Understanding identifiability of latent content and style variables from unaligned multi-
domain data is essential for tasks such as domain translation and data generation. Existing …

Spatial differentiation is the key element for edge detection and holds unquestionable
significance in the current information era. All-optical computation based on metasurfaces …

To address the poor performance experienced by cell-edge users located equidistantly to
the serving base station (BS) and the nearest interfering BS (s), this paper proposes an air …

Channel estimation in rapidly time-varying or short and bursty communication scenarios is
costly in terms of both pilot overhead and co-channel interference. In recent work, it was …

Given a mixture of co-channel user signals subject to frequency-selective multipath, sensed
through an array of co-located antennas, how can we recover the user signals? This is a …