5 citations · 8 across the 32 of their papers we have counts for
32 papers
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.…
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…
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…
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…
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…
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…
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…
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…
HeadHunt-VAD: Hunting Robust Anomaly-Sensitive Heads in MLLM for Tuning-Free Video Anomaly Detection
Zhaolin Cai, Fan Li, Ziwei Zheng +2
Video Anomaly Detection (VAD) aims to locate events that deviate from normal patterns in videos. Traditional approaches often rely on extensive labeled data and incur high computat…
SDGIC: A Semantic Disambiguation-Guided Generative Image Compression Method for Ultra-Low Bitrates
Kaile Wang, Lijun He, Haisheng Fu +2
Generative image compression has recently shown impressive perceptual quality, but often suffers from semantic inconsistency at ultra-low bitrates (bpp < 0.05), limiting its reliab…
What Your Features Reveal: Data-Efficient Black-Box Feature Inversion Attack for Split DNNs
Zhihan Ren, Lijun He, Jiaxi Liang +3
Split DNNs enable edge devices by offloading intensive computation to a cloud server, but this paradigm exposes privacy vulnerabilities, as the intermediate features can be exploit…
Invisible Triggers, Visible Threats! Road-Style Adversarial Creation Attack for Visual 3D Detection in Autonomous Driving
Jian Wang, Lijun He, Yixing Yong +2
Modern autonomous driving (AD) systems leverage 3D object detection to perceive foreground objects in 3D environments for subsequent prediction and planning. Visual 3D detection ba…
Learning Fourier shapes to probe the geometric world of deep neural networks
Jian Wang, Yixing Yong, Haixia Bi +2
While both shape and texture are fundamental to visual recognition, research on deep neural networks (DNNs) has predominantly focused on the latter, leaving their geometric underst…
DRO-Based Computation Offloading and Trajectory Design for Low-Altitude Networks
Guanwang Jiang, Ziye Jia, Can Cui +3
The low-altitude networks (LANs) integrating unmanned aerial vehicles (UAVs) and high-altitude platforms (HAPs) have become a promising solution for the rising computation demands.…
Dynamic Trajectory Optimization and Power Control for Hierarchical UAV Swarms in 6G Aerial Access Network
Ziye Jia, Jia He, Lijun He +4
Unmanned aerial vehicles (UAVs) can serve as aerial base stations (BSs) to extend the ubiquitous connectivity for ground users (GUs) in the sixth-generation (6G) era. However, it i…
Dependency Structure Augmented Contextual Scoping Framework for Multimodal Aspect-Based Sentiment Analysis
Hao Liu, Lijun He, Jiaxi Liang +3
Multimodal Aspect-Based Sentiment Analysis (MABSA) seeks to extract fine-grained information from image-text pairs to identify aspect terms and determine their sentiment polarity.…
Service Function Chain Dynamic Scheduling in Space-Air-Ground Integrated Networks
Ziye Jia, Yilu Cao, Lijun He +4
As an important component of the sixth generation communication technologies, the space-air-ground integrated network (SAGIN) attracts increasing attentions in recent years. Howeve…
NFV-Enabled Service Recovery in Space-Air-Ground Integrated Networks: A Matching Game Based Approach
Ziye Jia, Yilu Cao, Lijun He +4
To achieve ubiquitous connectivity of the sixth generation communication, the space-air-ground integrated network (SAGIN) is a popular topic. However, the dynamic nodes in SAGIN su…
Robust UAV Path Planning with Obstacle Avoidance for Emergency Rescue
Junteng Mao, Ziye Jia, Hanzhi Gu +4
The unmanned aerial vehicles (UAVs) are efficient tools for diverse tasks such as electronic reconnaissance, agricultural operations and disaster relief. In the complex three-dimen…
Spot Risks Before Speaking! Unraveling Safety Attention Heads in Large Vision-Language Models
Ziwei Zheng, Junyao Zhao, Le Yang +2
With the integration of an additional modality, large vision-language models (LVLMs) exhibit greater vulnerability to safety risks (e.g., jailbreaking) compared to their language-o…
Distributionally Robust Optimization for Computation Offloading in Aerial Access Networks
Guanwang Jiang, Ziye Jia, Lijun He +3
With the rapid increment of multiple users for data offloading and computation, it is challenging to guarantee the quality of service (QoS) in remote areas. To deal with the challe…
Fine-grained Dynamic Network for Generic Event Boundary Detection
Ziwei Zheng, Lijun He, Le Yang +1
Generic event boundary detection (GEBD) aims at pinpointing event boundaries naturally perceived by humans, playing a crucial role in understanding long-form videos. Given the dive…
Joint ADS-B in 5G for Hierarchical Aerial Networks: Performance Analysis and Optimization
Ziye Jia, Yiyang Liao, Chao Dong +3
Unmanned aerial vehicles (UAVs) are widely applied in multiple fields, which emphasizes the challenge of obtaining UAV flight information to ensure the airspace safety. UAVs equipp…
Energy-Efficient Data Offloading for Earth Observation Satellite Networks
Lijun He, Ziye Jia, Juncheng Wang +3
In Earth Observation Satellite Networks (EOSNs) with a large number of battery-carrying satellites, proper power allocation and task scheduling are crucial to improving the data of…