1.3k citations · 1.7k across the 17 of their papers we have counts for
17 papers
Edge-Assisted Lightweight Region-of-Interest Extraction and Transmission for Vehicle Perception
Yan Cheng, Peng Yang, Ning Zhang +1
To enhance on-road environmental perception for autonomous driving, accurate and real-time analytics on high-resolution video frames generated from on-board cameras be-comes crucia…
Channel-Aware Distillation Transformer for Depth Estimation on Nano Drones
Ning Zhang, Francesco Nex, George Vosselman +1
Autonomous navigation of drones using computer vision has achieved promising performance. Nano-sized drones based on edge computing platforms are lightweight, flexible, and cheap,…
FadMan: Federated Anomaly Detection across Multiple Attributed Networks
Nannan Wu, Ning Zhang, Wenjun Wang +2
Anomaly subgraph detection has been widely used in various applications, ranging from cyber attack in computer networks to malicious activities in social networks. Despite an incre…
Mobile Wireless Rechargeable UAV Networks: Challenges and Solutions
Yuntao Wang, Zhou Su, Ning Zhang +1
Unmanned aerial vehicles (UAVs) can help facilitate cost-effective and flexible service provisioning in future smart cities. Nevertheless, UAV applications generally suffer severe…
Hierarchical BERT for Medical Document Understanding
Ning Zhang, Maciej Jankowski
Medical document understanding has gained much attention recently. One representative task is the International Classification of Disease (ICD) diagnosis code assignment. Existing…
A Survey on Metaverse: Fundamentals, Security, and Privacy
Yuntao Wang, Zhou Su, Ning Zhang +4
Metaverse, as an evolving paradigm of the next-generation Internet, aims to build a fully immersive, hyper spatiotemporal, and self-sustaining virtual shared space for humans to pl…
Towards Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search
Chunhui Zhang, Xiaoming Yuan, Qianyun Zhang +3
Neural networks often encounter various stringent resource constraints while deploying on edge devices. To tackle these problems with less human efforts, automated machine learning…
D3PG: Dirichlet DDPG for Task Partitioning and Offloading with Constrained Hybrid Action Space in Mobile Edge Computing
Laha Ale, Scott A. King, Ning Zhang +2
Mobile Edge Computing (MEC) has been regarded as a promising paradigm to reduce service latency for data processing in the Internet of Things, by provisioning computing resources a…
Spatio-Temporal Bayesian Learning for Mobile Edge Computing Resource Planning in Smart Cities
Laha Ale, Ning Zhang, Scott A. King +1
A smart city improves operational efficiency and comfort of living by harnessing techniques such as the Internet of Things (IoT) to collect and process data for decision making. To…
Delay-aware and Energy-Efficient Computation Offloading in Mobile Edge Computing Using Deep Reinforcement Learning
Laha Ale, Ning Zhang, Xiaojie Fang +3
Internet of Things (IoT) is considered as the enabling platform for a variety of promising applications, such as smart transportation and smart city, where massive devices are inte…
LoRa Backscatter Assisted State Estimator for Micro Aerial Vehicles with Online Initialization
Shengkai Zhang, Wei Wang, Ning Zhang +1
The advances in agile micro aerial vehicles (MAVs) have shown great potential in replacing humans for labor-intensive or dangerous indoor investigation, such as warehouse managemen…
Topology Learning Aided False Data Injection Attack without Prior Topology Information
Martin Higgins, Jiawei Zhang, Ning Zhang +1
False Data Injection (FDI) attacks against powersystem state estimation are a growing concern for operators.Previously, most works on FDI attacks have been performedunder the assum…
Attributed Graph Alignment
Ning Zhang, Ziao Wang, Weina Wang +1
Motivated by various data science applications including de-anonymizing user identities in social networks, we consider the graph alignment problem, where the goal is to identify t…
Performance Analysis for Cache-enabled Cellular Networks with Cooperative Transmission
Tianming Feng, Shuo Shi, Shushi Gu +3
The large amount of deployed smart devices put tremendous traffic pressure on networks. Caching at the edge has been widely studied as a promising technique to solve this problem.…
New Upper Bounds on the Error Probability under ML Decoding for Spinal Codes and the Joint Transmission-Decoding System Design
Aimin Li, Shaohua Wu, Jian Jiao +2
Spinal codes are a type of capacity-achieving rateless codes that have been proved to approach the Shannon capacity over the additive white Gaussian noise (AWGN) channel and the bi…
Binary Black-box Evasion Attacks Against Deep Learning-based Static Malware Detectors with Adversarial Byte-Level Language Model
Mohammadreza Ebrahimi, Ning Zhang, James Hu +2
Anti-malware engines are the first line of defense against malicious software. While widely used, feature engineering-based anti-malware engines are vulnerable to unseen (zero-day)…
Convex Floating Bodies of Equilibrium
D. I. Florentin, C. Schuett, E. M. Werner +1
We study a long standing open problem by Ulam, which is whether the Euclidean ball is the unique body of uniform density which will float in equilibrium in any direction. We answer…