Search Results for author: Yongxin Liu

Found 11 papers, 5 papers with code

GraphDAC: A Graph-Analytic Approach to Dynamic Airspace Configuration

1 code implementation29 Jul 2023 Ke Feng, Dahai Liu, Yongxin Liu, Hong Liu, Houbing Song

The current National Airspace System (NAS) is reaching capacity due to increased air traffic, and is based on outdated pre-tactical planning.

Clustering

Exploring Adversarial Attacks on Neural Networks: An Explainable Approach

1 code implementation8 Mar 2023 Justus Renkhoff, Wenkai Tan, Alvaro Velasquez, illiam Yichen Wang, Yongxin Liu, Jian Wang, Shuteng Niu, Lejla Begic Fazlic, Guido Dartmann, Houbing Song

Finally, we demonstrate that the layers $Block4\_conv1$ and $Block5\_cov1$ of the VGG-16 model are more susceptible to adversarial attacks.

Autonomous Driving

Class-Incremental Learning for Wireless Device Identification in IoT

1 code implementation8 May 2021 Yongxin Liu, Jian Wang, Jianqiang Li, Shuteng Niu, Houbing Song

The proposed framework has the potential to be applied to accurate identification of IoT devices in a variety of IoT applications and services.

Class Incremental Learning Incremental Learning

Machine Learning for the Detection and Identification of Internet of Things (IoT) Devices: A Survey

no code implementations25 Jan 2021 Yongxin Liu, Jian Wang, Jianqiang Li, Shuteng Niu, Houbing Song

In this paper, we provide a comprehensive survey on machine learning technologies for the identification of IoT devices along with the detection of compromised or falsified ones from the viewpoint of passive surveillance agents or network operators.

Anomaly Detection BIG-bench Machine Learning +2

Distant Domain Transfer Learning for Medical Imaging

no code implementations10 Dec 2020 Shuteng Niu, Meryl Liu, Yongxin Liu, Jian Wang, Houbing Song

In this paper, we propose a distant domain transfer learning (DDTL) method for medical image classification.

Computed Tomography (CT) COVID-19 Diagnosis +5

Counter-Unmanned Aircraft System(s) (C-UAS): State of the Art, Challenges and Future Trends

no code implementations28 Aug 2020 Jian Wang, Yongxin Liu, Houbing Song

A Counter-UAS (C-UAS) system is defined as a system or device capable of lawfully and safely disabling, disrupting, or seizing control of an unmanned aircraft or unmanned aircraft system.

Zero-Bias Deep Learning for Accurate Identification of Internet of Things (IoT) Devices

1 code implementation27 Aug 2020 Yongxin Liu, Jian Wang, Jianqiang Li, Houbing Song, Thomas Yang, Shuteng Niu, Zhong Ming

In this paper, we propose an enhanced deep learning framework for IoT device identification using physical layer signals.

Study on Key Technologies of Transit Passengers Travel Pattern Mining and Applications based on Multiple Sources of Data

no code implementations26 May 2020 Yongxin Liu

We then use a depth search algorithm to derive the spatially closed transit trip chains; Finally, we use closed transit trip chains of passengers to study their travel pattern from various perspectives.

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