activity
20232026
most citedMSC: A Generic Dataset for Mixed Multi-Modal (MMM) Sensing and Communication Integration

1 citations · 2 across the 12 of their papers we have counts for

collaborators

14 papers

eess.SP2026

Link Both Views: Cross-Image Routing Attention for Dual-Endpoint V2I Beam-Pair Power Prediction

Shiliang Lu, Lu Bai, Ziwei Huang +1

For sensing-aided communications, single-endpoint sensing offers only a partial view of propagation, motivating link-centric sensing across both endpoints. We propose cross-image r…

eess.SP2025

WiCo-PG: Wireless Channel Foundation Model for Pathloss Map Generation via Synesthesia of Machines

Mingran Sun, Lu Bai, Ziwei Huang +3

A wireless channel foundation model for pathloss map generation (WiCo-PG) via Synesthesia of Machines (SoM) is developed for the first time. Considering sixth-generation (6G) uncre…

eess.SP2025

SynthSoM-Twin: A Multi-Modal Sensing-Communication Digital-Twin Dataset for Sim2Real Transfer via Synesthesia of Machines

Junlong Chen, Ziwei Huang, Xuesong Cai +2

This paper constructs a novel multi-modal sensing-communication digital-twin dataset, named SynthSoM-Twin, which is spatio-temporally consistent with the real world, for Sim2Real t…

eess.SP2025

LLM4MG: Adapting Large Language Model for Multipath Generation via Synesthesia of Machines

Ziwei Huang, Shiliang Lu, Lu Bai +2

Based on Synesthesia of Machines (SoM), a large language model (LLM) is adapted for multipath generation (LLM4MG) for the first time. Considering a typical sixth-generation (6G) ve…

eess.SP2025

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration

Xiang Cheng, Boxun Liu, Xuanyu Liu +2

To support future intelligent multifunctional sixth-generation (6G) wireless communication networks, Synesthesia of Machines (SoM) is proposed as a novel paradigm for artificial in…

eess.SP2025

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines

Zengrui Han, Lu Bai, Ziwei Huang +1

In this paper, a novel large language model (LLM)-based method for scatterer generation (LLM4SG) is proposed for sixth-generation (6G) artificial intelligence (AI)-native communica…

eess.SP2025

A Multi-modal Intelligent Channel Model for 6G Multi-UAV-to-Multi-Vehicle Communications

Lu Bai, Mengyuan Lu, Ziwei Huang +1

In this paper, a novel multi-modal intelligent channel model for sixth-generation (6G) multiple-unmanned aerial vehicle (multi-UAV)-to-multi-vehicle communications is proposed. To…

eess.SP2025

Synesthesia of Machines Based Multi-Modal Intelligent V2V Channel Model

Zengrui Han, Lu Bai, Ziwei Huang +1

This paper proposes a novel sixth-generation (6G) multi-modal intelligent vehicle-to-vehicle (V2V) channel model from light detection and ranging (LiDAR) point clouds based on Syne…

eess.SP2025

SynthSoM: A synthetic intelligent multi-modal sensing-communication dataset for Synesthesia of Machines (SoM)

Xiang Cheng, Ziwei Huang, Yong Yu +5

Given the importance of datasets for sensing-communication integration research, a novel simulation platform for constructing communication and multi-modal sensory dataset is devel…

eess.SP2024

Multi-Modal Intelligent Channel Modeling: A New Modeling Paradigm via Synesthesia of Machines

Lu Bai, Ziwei Huang, Mingran Sun +2

In the future sixth-generation (6G) era, to support accurate localization sensing and efficient communication link establishment for intelligent agents, a comprehensive understandi…

eess.SP2024

Scatterer Recognition for Multi-Modal Intelligent Vehicular Channel Modeling via Synesthesia of Machines

Ziwei Huang, Lu Bai, Zengrui Han +1

In this paper, a novel multi-modal intelligent vehicular channel model is proposed by scatterer recognition from light detection and ranging (LiDAR) point clouds via Synesthesia of…

eess.SP2024

A LiDAR-Aided Channel Model for Vehicular Intelligent Sensing-Communication Integration

Ziwei Huang, Lu Bai, Mingran Sun +1

In this paper, a novel channel modeling approach, named light detection and ranging (LiDAR)-aided geometry-based stochastic modeling (LA-GBSM), is developed. Based on the developed…

eess.SP2023★ 1 cited

MSC: A Generic Dataset for Mixed Multi-Modal (MMM) Sensing and Communication Integration

Xiang Cheng, Ziwei Huang, Lu Bai +6

The sixth generation (6G) of mobile communication system is witnessing a new paradigm shift, i.e., integrated sensing-communication system. A comprehensive dataset is a prerequisit…

eess.SP2023★ 1 cited

Intelligent Multi-Modal Sensing-Communication Integration: Synesthesia of Machines

Xiang Cheng, Haotian Zhang, Jianan Zhang +7

In the era of sixth-generation (6G) wireless communications, integrated sensing and communications (ISAC) is recognized as a promising solution to upgrade the physical system by en…