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Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition

Author

Hailu Xin

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3 papers indexed here

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Conference Aug 2026

FedDRU: Depth-Aware Residual Client Unlearning for Heterogeneous Federated Learning

Client-level federated unlearning seeks to update an already trained global model so that the influence of a specified client is weakened, while the model remains effective for the remaining clients. Existing methods are mostly designed for homogeneous model settings and often rely on retraining, historical updates, or...

Jing-Yi Leng, Zheng-Yi Zhong, Hai-Lu Xin et al. · 0 citations
Conference Aug 2026

Speech-to-Plot: A Robust Voice-Driven Framework for Visual Grounding in Complex Acoustic Environments

In modern operational environments, rapid and hands-free target localization is crucial for situational awareness. However, traditional plotting systems rely on cumbersome manual interactions, and conventional multimodal algorithms degrade significantly under extreme background noise and constrained communication links...

Zhong-Hao Zhou, Hai-Lu Xin, Ping Tang et al. · 0 citations
Open access Jul 2026

Recoverability-Aware Fault-Tolerant Scheduling of UAVs for IoT Data Collection in Disaster Scenarios

Reliable data collection is essential for disaster-oriented Internet of Things (IoT) systems, where damaged terrestrial communication infrastructure often leaves sensed data buffered at disconnected end devices. In Unmanned Aerial Vehicle (UAV)-Internet of Things device (IoTD) collaborative data collection, random UAV...

Hailu Xin, Weidong Bao, Hui Yan et al. · 0 citations

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