Weng-Keen Wong | DeepAI

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Featured Co-authors

Jun Chen
98 publications
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∙ 05/16/2023

HiNoVa: A Novel Open-Set Detection Method for Automating RF Device Authentication

New capabilities in wireless network security have been enabled by deep ...

0 Luke Puppo, et al. ∙

∙ 01/29/2023

ADL-ID: Adversarial Disentanglement Learning for Wireless Device Fingerprinting Temporal Domain Adaptation

As the journey of 5G standardization is coming to an end, academia and i...

0 Abdurrahman Elmaghbub, et al. ∙

∙ 09/02/2022

Tweak: Towards Portable Deep Learning Models for Domain-Agnostic LoRa Device Authentication

Deep learning based device fingerprinting has emerged as a key method of...

0 Jared Gaskin, et al. ∙

∙ 02/20/2022

An Analysis of Complex-Valued CNNs for RF Data-Driven Wireless Device Classification

Recent deep neural network-based device classification studies show that...

0 Jun Chen, et al. ∙

∙ 08/18/2021

Contrastive Identification of Covariate Shift in Image Data

Identifying covariate shift is crucial for making machine learning syste...

11 Matthew L. Olson, et al. ∙

∙ 01/29/2021

Counterfactual State Explanations for Reinforcement Learning Agents via Generative Deep Learning

Counterfactual explanations, which deal with "why not?" scenarios, can p...

18 Matthew L. Olson, et al. ∙

∙ 09/27/2019

Counterfactual States for Atari Agents via Generative Deep Learning

Although deep reinforcement learning agents have produced impressive res...

48 Matthew L. Olson, et al. ∙

∙ 08/30/2017

Incorporating Feedback into Tree-based Anomaly Detection

Anomaly detectors are often used to produce a ranked list of statistical...

0 Shubhomoy Das, et al. ∙

∙ 03/03/2015

A Meta-Analysis of the Anomaly Detection Problem

This article provides a thorough meta-analysis of the anomaly detection ...

0 Andrew Emmott, et al. ∙

∙ 02/28/2015

Sequential Feature Explanations for Anomaly Detection

In many applications, an anomaly detection system presents the most anom...

1 Md Amran Siddiqui, et al. ∙

∙ 07/11/2012

Bayesian Biosurveillance of Disease Outbreaks

Early, reliable detection of disease outbreaks is a critical problem tod...

0 Gregory F. Cooper, et al. ∙

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