64 citations · 65 across the 11 of their papers we have counts for
12 papers
Modeling Clinical Workflow for SYNTAX Scoring from Coronary Angiography Videos
Suzhong Fu, Jingqi Dong, Xuan Ding +4
The SYNTAX score is a clinically established tool for assessing anatomical lesion complexity in coronary artery disease and guiding subsequent treatment. However, automated SYNTAX…
A Tutorial on Learning-Based Radio Map Construction: Data, Paradigms, and Physics-Awareness
Xiucheng Wang, Yuhao Pan, Nan Cheng +9
Radio maps (RMs) provide the digital representation of the wireless propagation environment, mapping complex geographical and topological boundary conditions to critical spatial-sp…
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…
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…
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.…
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…
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…
MVImgNet2.0: A Larger-scale Dataset of Multi-view Images
Xiaoguang Han, Yushuang Wu, Luyue Shi +7
MVImgNet is a large-scale dataset that contains multi-view images of ~220k real-world objects in 238 classes. As a counterpart of ImageNet, it introduces 3D visual signals via mult…
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…
Latency-Aware Resource Allocation for Mobile Edge Generation and Computing via Deep Reinforcement Learning
Yinyu Wu, Xuhui Zhang, Jinke Ren +3
Recently, the integration of mobile edge computing (MEC) and generative artificial intelligence (GAI) technology has given rise to a new area called mobile edge generation and comp…
Robust Image Semantic Coding with Learnable CSI Fusion Masking over MIMO Fading Channels
Bingyan Xie, Yongpeng Wu, Yuxuan Shi +3
Though achieving marvelous progress in various scenarios, existing semantic communication frameworks mainly consider single-input single-output Gaussian channels or Rayleigh fading…
UAV-Enabled Wireless Networks with Movable-Antenna Array: Flexible Beamforming and Trajectory Design
Wenchao Liu, Xuhui Zhang, Huijun Xing +3
Recently, movable antenna (MA) array becomes a promising technology for improving the communication quality in wireless communication systems. In this letter, an unmanned aerial ve…