activity
20242026
collaborators

7 papers

cs.CV2026

SuppreSensing: Expert-Guided Feature Recalibration and Discrepancy Augmentation for Multimodal Object Detection

Xin Wu, Zhenyu Gao, Qiankun Zhang +1

Multimodal object detection in remote sensing faces challenges due to semantic heterogeneity and modality-specific noise interference. To this end, we propose SuppreSensing, which…

eess.SP2025

DULRTC-RME: A Deep Unrolled Low-rank Tensor Completion Network for Radio Map Estimation

Yao Wang, Xin Wu, Lianming Xu +2

Radio maps enrich radio propagation and spectrum occupancy information, which provides fundamental support for the operation and optimization of wireless communication systems. Tra…

cs.DC2025

DistrEE: Distributed Early Exit of Deep Neural Network Inference on Edge Devices

Xian Peng, Xin Wu, Lianming Xu +2

Distributed DNN inference is becoming increasingly important as the demand for intelligent services at the network edge grows. By leveraging the power of distributed computing, edg…

cs.CV2024

RemoteDet-Mamba: A Hybrid Mamba-CNN Network for Multi-modal Object Detection in Remote Sensing Images

Kejun Ren, Xin Wu, Lianming Xu +1

Unmanned Aerial Vehicle (UAV) remote sensing, with its advantages of rapid information acquisition and low cost, has been widely applied in scenarios such as emergency response. Ho…

cs.CV2024

Multimodal generative semantic communication based on latent diffusion model

Weiqi Fu, Lianming Xu, Xin Wu +2

In emergencies, the ability to quickly and accurately gather environmental data and command information, and to make timely decisions, is particularly critical. Traditional semanti…

cs.CV2024

Multimodal Collaboration Networks for Geospatial Vehicle Detection in Dense, Occluded, and Large-Scale Events

Xin Wu, Zhanchao Huang, Li Wang +2

In large-scale disaster events, the planning of optimal rescue routes depends on the object detection ability at the disaster scene, with one of the main challenges being the prese…

cs.AI2024

Emergency Computing: An Adaptive Collaborative Inference Method Based on Hierarchical Reinforcement Learning

Weiqi Fu, Lianming Xu, Xin Wu +2

In achieving effective emergency response, the timely acquisition of environmental information, seamless command data transmission, and prompt decision-making are crucial. This nec…