Honggang Yu

Orcid: 0000-0002-1882-7060

According to our database1, Honggang Yu authored at least 23 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Explainable artificial intelligence incorporated with domain knowledge diagnosing early gastric neoplasms under white light endoscopy.
npj Digit. Medicine, 2023

Publisher Correction: Explainable artificial intelligence incorporated with domain knowledge diagnosing early gastric neoplasms under white light endoscopy.
npj Digit. Medicine, 2023

Dual-Leak: Deep Unsupervised Active Learning for Cross-Device Profiled Side-Channel Leakage Analysis.
Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2023

2022
An interpretable artificial intelligence system for detecting risk factors of gastroesophageal variceal bleeding.
npj Digit. Medicine, 2022

A Review and Comparison of AI-enhanced Side Channel Analysis.
ACM J. Emerg. Technol. Comput. Syst., 2022

Generation of Black-box Audio Adversarial Examples Based on Gradient Approximation and Autoencoders.
ACM J. Emerg. Technol. Comput. Syst., 2022

Graph Neural Network based Hardware Trojan Detection at Intermediate Representative for SoC Platforms.
Proceedings of the GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6, 2022

2021
Exploring Adversarial Examples for Efficient Active Learning in Machine Learning Classifiers.
CoRR, 2021

Cross-Device Profiled Side-Channel Attacks using Meta-Transfer Learning.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

Robust Roadside Physical Adversarial Attack Against Deep Learning in Lidar Perception Modules.
Proceedings of the ASIA CCS '21: ACM Asia Conference on Computer and Communications Security, 2021

2020
CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples.
Proceedings of the 27th Annual Network and Distributed System Security Symposium, 2020

DeepEM: Deep Neural Networks Model Recovery through EM Side-Channel Information Leakage.
Proceedings of the 2020 IEEE International Symposium on Hardware Oriented Security and Trust, 2020

Audio Adversarial Examples Generation with Recurrent Neural Networks<sup>*</sup>.
Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020

Beyond Digital Domain: Fooling Deep Learning Based Recognition System in Physical World.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2016
The study of surgical image quality evaluation system by subjective quality factor method.
Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016

2015
A multiscale decomposition approach to detect abnormal vasculature in the optic disc.
Comput. Medical Imaging Graph., 2015

2014
A Multiscale Optimization Approach to Detect Exudates in the Macula.
IEEE J. Biomed. Health Informatics, 2014

2013
Automated retinal vessel type classification in color fundus images.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

2012
Fast Localization and Segmentation of Optic Disk in Retinal Images Using Directional Matched Filtering and Level Sets.
IEEE Trans. Inf. Technol. Biomed., 2012

Automated image quality evaluation of retinal fundus photographs in diabetic retinopathy screening.
Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 2012

Detection of hard exudates and red lesions in the macula using a multiscale approach.
Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 2012

Detection of neovascularization in the optic disc using an AM-FM representation, granulometry, and vessel segmentation.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2005
A robust multi-view freehand three-dimensional ultrasound imaging system using volumetric registration.
Proceedings of the IEEE International Conference on Systems, 2005


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