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Found 38 papers, 4 papers with code
Re-embedding Difficult Samples via Mutual Information Constrained Semantically Oversampling for Imbalanced Text Classification
Difficult samples of the minority class in imbalanced text classification are usually hard to be classified as they are embedded into an overlapping semantic region with the majority class.
Deep Learning Based Multi-Node ISAC 4D Environmental Reconstruction with Uplink- Downlink Cooperation
Utilizing widely distributed communication nodes to achieve environmental reconstruction is one of the significant scenarios for Integrated Sensing and Communication (ISAC) and a crucial technology for 6G.
Cramer-Rao Bounds for Near-Field Sensing: A Generic Modular Architecture
A generic modular array architecture is proposed, featuring uniform/non-uniform subarray layouts that allows for flexible deployment.
Deep Cooperation in ISAC System: Resource, Node and Infrastructure Perspectives
With the mobile communication system evolving into 6th-generation (6G), the Internet of Everything (IoE) is becoming reality, which connects human, big data and intelligent machines to support the intelligent decision making, reconfiguring the traditional industries and human life.
Attribute Simulation for Item Embedding Enhancement in Multi-interest Recommendation
Although multi-interest recommenders have achieved significant progress in the matching stage, our research reveals that existing models tend to exhibit an under-clustered item embedding space, which leads to a low discernibility between items and hampers item retrieval.
Communication-Assisted Sensing in 6G Networks
Exploring the mutual benefit and reciprocity of sensing and communication (S\&C) functions is fundamental to realizing deeper integration for integrated sensing and communication (ISAC) systems.
Channel-robust Automatic Modulation Classification Using Spectral Quotient Cumulants
Specifically, we first transform the received signal to the spectral quotient (SQ) sequence by spectral circular shift division operations.
Sensing-assisted Accurate and Fast Beam Management for Cellular-connected mmWave UAV Network
This paper presents a novel sensing-assisted beam management approach, the first solution that fully utilizes the information from the visual domain to improve communication performance.
Integrated Sensing and Communication Neighbor Discovery for MANET with Gossip Mechanism
In order to further reduce the convergence time of ND, this paper introduces the ISAC-enabled gossip mechanism into the ND algorithm.
ISAC 4D Imaging System Based on 5G Downlink Millimeter Wave Signal
Integrated Sensing and Communication(ISAC) has become a key technology for the 5th generation (5G) and 6th generation (6G) wireless communications due to its high spectrum utilization efficiency.
Integrated Sensing and Communication Signal Processing Based on Compressed Sensing Over Unlicensed Spectrum Bands
The ISAC-enabled mobile communication system regularly operate in non-continuous spectrum bands due to crowded licensed frequency bands.
Carrier Aggregation Enabled Integrated Sensing and Communication Signal Design and Processing
The future mobile communication systems will support intelligent applications such as Internet of Vehicles (IoV) and Extended Reality (XR).
Symbol-level Integrated Sensing and Communication enabled Multiple Base Stations Cooperative Sensing
This work may provide a guideline for the design of multi-BS cooperative sensing system to exploit the widely deployed networked mobile communication system.
SLAM for Multiple Extended Targets using 5G Signal
To evaluate the performance of 5G signal in SLAM, we analyze and simulate the mapping error of 5G signal sensing by ET-GOPSA.
ISAC-NET: Model-driven Deep Learning for Integrated Passive Sensing and Communication
From the simulation results, ISAC-NET obtains better communication performance than the traditional signal demodulation algorithm, which is close to OAMP-Net2.
Coherent Compensation based ISAC Signal Processing for Long-range Sensing
Integrated sensing and communication (ISAC) will greatly enhance the efficiency of physical resource utilization.
Toward Intelligent and Efficient 6G Networks: JCSC Enabled On-Purpose Machine Communications
Driven by the vision of "intelligent connection of everything" toward 6G, the collective intelligence of networked machines can be fully exploited to improve system efficiency by shifting the paradigm of wireless communication design from naive maximalist approaches to intelligent value-based approaches.
Toward Trusted and Swift UAV Communication: ISAC-Enabled Dual Identity Mapping
This tutorial for the intelligent and efficient UAV network brings new insight on providing dual-domain identity via ISAC technology, with an eye on trusted and swift communication research tailored for the 6G UAV network.
Specific Beamforming for Multi-UAV Networks: A Dual Identity-based ISAC Approach
Beam alignment is essential to compensate for the high path loss in the millimeter-wave (mmWave) Unmanned Aerial Vehicle (UAV) network.
Iterative Signal Processing for Integrated Sensing and Communication Systems
In this paper, phase coding is applied in ISAC signal design to improve the anti-noise performance of ISAC signal.
5G PRS-Based Sensing: A Sensing Reference Signal Approach for Joint Sensing and Communication System
In this paper, we investigate how to apply the positioning reference signal (PRS) of the 5th generation (5G) mobile communications in radar sensing.
Geo-Spatio-Temporal Information Based 3D Cooperative Positioning in LOS/NLOS Mixed Environments
We propose a geographic and spatio-temporal information based distributed cooperative positioning (GSTICP) algorithm for wireless networks that require three-dimensional (3D) coordinates and operate in the line-of-sight (LOS) and nonline-of-sight (NLOS) mixed environments.
Distributed Spatio-Temporal Information Based Cooperative 3D Positioning in GNSS-Denied Environments
A distributed spatio-temporal information based cooperative positioning (STICP) algorithm is proposed for wireless networks that require three-dimensional (3D) coordinates and operate in the global navigation satellite system (GNSS) denied environments.
Vehicular Connectivity on Complex Trajectories: Roadway-Geometry Aware ISAC Beam-tracking
In this paper, we propose sensing-assisted beamforming designs for vehicles on arbitrarily shaped roads by relying on integrated sensing and communication (ISAC) signalling. Specifically, we aim to address the limitations of conventional ISAC beam-tracking schemes that do not apply to complex road geometries.
Beam Training and Tracking in MmWave Communication: A Survey
This article provides an overview of the beam training and tracking technologies on mmWave bands and reveals the insights for future research in the 6th Generation (6G) mobile network.
Function-words Enhanced Attention Networks for Few-Shot Inverse Relation Classification
The relation classification is to identify semantic relations between two entities in a given text.
Learning by Erasing: Conditional Entropy based Transferable Out-Of-Distribution Detection
For a new in-distribution (ID) dataset, existing methods require retraining to capture the dataset-specific feature representation or data distribution.
Out-of-Distribution Detection
Out of Distribution (OOD) Detection
Learning Disentangled Semantic Representations for Zero-Shot Cross-Lingual Transfer in Multilingual Machine Reading Comprehension
To explicitly transfer only semantic knowledge to the target language, we propose two groups of losses tailored for semantic and syntactic encoding and disentanglement.
Block Modeling-Guided Graph Convolutional Neural Networks
Graph Convolutional Network (GCN) has shown remarkable potential of exploring graph representation.
MmWave Radar and Vision Fusion for Object Detection in Autonomous Driving: A Review
Millimeter wave (mmWave) radar and vision fusion is a mainstream solution for accurate obstacle detection.
An Overview of Signal Processing Techniques for Joint Communication and Radar Sensing
Joint communication and radar sensing (JCR) represents an emerging research field aiming to integrate the above two functionalities into a single system, sharing a majority of hardware and signal processing modules and, in a typical case, sharing a single transmitted signal.
Modeling Global Semantics for Question Answering over Knowledge Bases
Existing semantic parsing approaches mainly focus on relations matching with paying less attention to the underlying internal structure of questions (e. g., the dependencies and relations between all entities in a question) to select the query graph.
Exemplar Loss for Siamese Network in Visual Tracking
In general, Siamese tracking algorithms, supervised by logistic loss and triplet loss, increase the value of inner product between exemplar template and positive sample while reduce the value of inner product with background sample.
Towards Universal Languages for Tractable Ontology Mediated Query Answering
On the negative side, we prove that there is, in general, no universal language for each of these families of languages.
SCC-rFMQ Learning in Cooperative Markov Games with Continuous Actions
Although many reinforcement learning methods have been proposed for learning the optimal solutions in single-agent continuous-action domains, multiagent coordination domains with continuous actions have received relatively few investigations.
TrQuery: An Embedding-based Framework for Recommanding SPARQL Queries
In this paper, we present an embedding-based framework (TrQuery) for recommending solutions of a SPARQL query, including approximate solutions when exact querying solutions are not available due to incompleteness or inconsistencies of real-world RDF data.
Parametric T-Spline Face Morphable Model for Detailed Fitting in Shape Subspace
As any pre-learnt subspace is not complete to handle the variety and details of faces and expressions, it covers a limited span of morphing.
B-spline Shape from Motion & Shading: An Automatic Free-form Surface Modeling for Face Reconstruction
In this paper, B-spline Shape from Motion and Shading (BsSfMS) is proposed to reconstruct continuous B-spline surface for multi-view face images, according to an assumption that shading and motion information in the images contain 1st- and 0th-order derivative of B-spline face respectively.
