Cover Image

Emergency Communication: OTFS-Based Semantic Transmission with Diffusion Noise Suppression

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Kexin, Zhang, Xin, Li, Lixin, Lin, Wensheng, Cheng, Wenchi, Du, Qinghe
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Outage Probability Analysis for OTFS with Finite Blocklength
by: Zhang, Xin, et al.
Published: (2025)

Outage Probability Analysis for OTFS in Lossy Communications
by: Zhang, Xin, et al.
Published: (2024)

InfoDCL: Informative Noise Enhanced Diffusion Based Contrastive Learning
by: Liang, Xufeng, et al.
Published: (2025)

Turning Noise into Value: Uncovering Service Preferences from Ambiguous Interaction in E-commerce
by: Li, Cheng, et al.
Published: (2025)

SC-CDM: Enhancing Quality of Image Semantic Communication with a Compact Diffusion Model
by: Zhang, Kexin, et al.
Published: (2024)

Rateless Stochastic Coding for Delay-Constrained Semantic Communication
by: Peng, Cheng, et al.
Published: (2024)

Discrete Scale-invariant Metric Learning for Efficient Collaborative Filtering
by: Zhang, Yan, et al.
Published: (2025)

Uncertainty-Aware Semantic Decoding for LLM-Based Sequential Recommendation
by: Yin, Chenke, et al.
Published: (2025)

Plug-in Diffusion Model for Sequential Recommendation
by: Ma, Haokai, et al.
Published: (2024)

C2T-ID: Converting Semantic Codebooks to Textual Document Identifiers for Generative Search
by: Zhang, Yingchen, et al.
Published: (2025)

OTCR: Optimal Transmission, Compression and Representation for Multimodal Information Extraction
by: Li, Yang, et al.
Published: (2025)

LASAR: Latent Adaptive Semantic Aligned Reasoning for Generative Recommendation
by: Chen, Yiwen, et al.
Published: (2026)

Sequence-level Semantic Representation Fusion for Recommender Systems
by: Xu, Lanling, et al.
Published: (2024)

A Survey on Deep Text Hashing: Efficient Semantic Text Retrieval with Binary Representation
by: He, Liyang, et al.
Published: (2025)

Collaborative Group-Aware Hashing for Fast Recommender Systems
by: Zhang, Yan, et al.
Published: (2025)

Enhancing Recommender Systems: A Strategy to Mitigate False Negative Impact
by: Shi, Kexin, et al.
Published: (2022)

Divide-and-Conquer: Cold-Start Bundle Recommendation via Mixture of Diffusion Experts
by: Li, Ming, et al.
Published: (2025)

Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness
by: Cheng, Mingyue, et al.
Published: (2024)

Introducing Semantic Capability in LinkedIn's Content Search Engine
by: Yang, Xin, et al.
Published: (2024)

Reason to Retrieve: Enhancing Query Understanding through Decomposition and Interpretation
by: Zhong, Yunfei, et al.
Published: (2025)

Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation
by: Li, Xiaodong, et al.
Published: (2025)

Combinatorial Optimization Perspective based Framework for Multi-behavior Recommendation
by: Zhai, Chenhao, et al.
Published: (2025)

MI-DPG: Decomposable Parameter Generation Network Based on Mutual Information for Multi-Scenario Recommendation
by: Cheng, Wenzhuo, et al.
Published: (2026)

Modeling Item-Level Dynamic Variability with Residual Diffusion for Bundle Recommendation
by: Zhang, Dong, et al.
Published: (2025)

SID-Coord: Coordinating Semantic IDs for ID-based Ranking in Short-Video Search
by: Li, Guowen, et al.
Published: (2026)

Taming the Long Tail: Denoising Collaborative Information for Robust Semantic ID Generation
by: Xu, Yi, et al.
Published: (2025)

Enhanced Bayesian Personalized Ranking for Robust Hard Negative Sampling in Recommender Systems
by: Shi, Kexin, et al.
Published: (2024)

UNGER: Generative Recommendation with A Unified Code via Semantic and Collaborative Integration
by: Xiao, Longtao, et al.
Published: (2025)

DiffuGR: Generative Document Retrieval with Diffusion Language Models
by: Zhao, Xinpeng, et al.
Published: (2025)

From Clues to Generation: Language-Guided Conditional Diffusion for Cross-Domain Recommendation
by: Lu, Ziang, et al.
Published: (2026)

Coherence-guided Preference Disentanglement for Cross-domain Recommendations
by: Xiang, Zongyi, et al.
Published: (2024)

Enhancing LLM-based Recommendation through Semantic-Aligned Collaborative Knowledge
by: Wang, Zihan, et al.
Published: (2025)

Multi-Cause Deconfounding for Recommender Systems with Latent Confounders
by: Huang, Zhirong, et al.
Published: (2024)

How Reliable Are Semantic-ID Tokenizer Comparisons in Generative Recommendation?
by: Zhang, Qian, et al.
Published: (2026)

Multi-Interest Recommendation: A Survey
by: Li, Zihao, et al.
Published: (2025)

SaviorRec: Semantic-Behavior Alignment for Cold-Start Recommendation
by: Yao, Yining, et al.
Published: (2025)

Mitigating Dual Latent Confounding Biases in Recommender Systems
by: Deng, Jianfeng, et al.
Published: (2024)

Semantic Successive Refinement: A Generative AI-aided Semantic Communication Framework
by: Zhang, Kexin, et al.
Published: (2024)

Bottleneck-Minimal Indexing for Generative Document Retrieval
by: Du, Xin, et al.
Published: (2024)

Integrating LLM-Derived Multi-Semantic Intent into Graph Model for Session-based Recommendation
by: Zhang, Shuo, et al.
Published: (2025)