activity
20242026
collaborators

7 papers

eess.SP2026

Towards Precise Channel Knowledge Map: Exploiting Environmental Information from 2D Visuals to 3D Point Clouds

Yancheng Wang, Chuan Huang, Songyang Zhang +7

The substantial communication resources consumed by conventional pilot-based channel sounding impose an unsustainable overhead, presenting a critical scalability challenge for the…

cs.AI2026

AgentsEval: Clinically Faithful Evaluation of Medical Imaging Reports via Multi-Agent Reasoning

Suzhong Fu, Jingqi Dong, Xuan Ding +4

Evaluating the clinical correctness and reasoning fidelity of automatically generated medical imaging reports remains a critical yet unresolved challenge. Existing evaluation metho…

cs.LG2025

RadioDiff-: Helmholtz Equation Informed Generative Diffusion Model for Multi-Path Aware Radio Map Construction

Xiucheng Wang, Qiming Zhang, Nan Cheng +4

In this paper, we propose a novel physics-informed generative learning approach, named RadioDiff-, for accurate and efficient multipath-aware radio map (RM) construction. As f…

cs.LG2025

RadioDiff-3D: A 3D3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication

Xiucheng Wang, Qiming Zhang, Nan Cheng +5

Radio maps (RMs) serve as a critical foundation for enabling environment-aware wireless communication, as they provide the spatial distribution of wireless channel characteristics.…

eess.SP2025

Latency Minimization for UAV-Enabled Federated Learning: Trajectory Design and Resource Allocation

Xuhui Zhang, Wenchao Liu, Jinke Ren +4

Federated learning (FL) has become a transformative paradigm for distributed machine learning across wireless networks. However, the performance of FL is often hindered by the unre…

cs.IT2025

A Semantic Approach to Successive Interference Cancellation for Multiple Access Networks

Mingxiao Li, Kaiming Shen, Shuguang Cui

Differing from the conventional communication system paradigm that models information source as a sequence of (i.i.d. or stationary) random variables, the semantic approach aims at…