activity
20192026
most citedRevenue and Energy Efficiency-Driven Delay Constrained Computing Task Offloading and Resource Allocation in a Vehicular Edge Computing Network: A Deep Reinforcement Learning Approach

5 citations · 8 across the 32 of their papers we have counts for

collaborators
Showing 2026Show all

8 papers · 1 filter

cs.CV2026

DecoyFace: Beyond Obfuscation via Controllable and Imperceptible Identity Misdirection for Privacy-Preserving Face Recognition

Zhihan Ren, Lijun He, Xinyao Wang +2

Split face recognition reduces client-side computation but exposes intermediate features to feature inversion attacks and unauthorized analysis by honest-but-curious (HBC) servers.…

cs.CV2026

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection

Yixing Yong, Jian Wang, Ming Lei +2

Infrared object detection is crucial for perception in autonomous driving and surveillance but remains vulnerable to physical adversarial attacks. Unlike in the RGB domain, where a…

eess.SP2026

Task-Oriented Communication for Human Action Understanding via Edge-Cloud Co-Inference

Jingyi Liu, Cheng Yuan, Lijun He +2

The expanding application of smart sensing has created a growing demand for the accurate understanding of human action at the network edge. Traditional approaches require massive v…

cs.CV2026

MemOVCD: Training-Free Open-Vocabulary Change Detection via Cross-Temporal Memory Reasoning and Global-Local Adaptive Rectification

Zuzheng Kuang, Honghao Chang, Boqiang Liang +4

Open-vocabulary change detection aims to identify semantic changes in bi-temporal remote sensing images without predefined categories. Recent methods combine foundation models such…

cs.DC2026

Hierarchical Observe-Orient-Decide-Act Enabled UAV Swarms in Uncertain Environments: Frameworks, Potentials, and Challenges

Ziye Jia, Yao Wu, Qihui Wu +4

Unmanned aerial vehicle (UAV) swarms are increasingly explored for their potentials in various applications such as surveillance, disaster response, and military. However, UAV swar…

cs.CV2026

Steering and Rectifying Latent Representation Manifolds in Frozen Multi-modal LLMs for Video Anomaly Detection

Zhaolin Cai, Fan Li, Huiyu Duan +2

Video anomaly detection (VAD) aims to identify abnormal events in videos. Traditional VAD methods generally suffer from the high costs of labeled data and full training, thus some…

cs.AI2026

Enhancing Foundation VLM Robustness to Missing Modality: Scalable Diffusion for Bi-directional Feature Restoration

Wei Dai, Haoyu Wang, Honghao Chang +4

Vision Language Model (VLM) typically assume complete modality input during inference. However, their effectiveness drops sharply when certain modalities are unavailable or incompl…

cs.NI2026

SDN-Blockchain Based Security Routing for UAV Communication via Reinforcement Learning

Yulu Han, Ziye Jia, Jingjing Zhao +3

The unmanned aerial vehicle (UAV) network plays important roles in emergency communications. However, it is challenging to design reliable routing strategies that ensure low latenc…