Faculty

Institution

Unit

Venue

Jiann-Shiun Yuan

Professor

University of Central Florida

Affiliations

College of Engineering and Computer Science

Jiann-shiun Yuan is currently serving as a College Of Engineering And Computer Science Professor at University of Central Florida.

Honors

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Experiences

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Education

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Jiann-Shiun Yuan

University of Central Florida

Professor

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electrical engineering power electronics electronics microelectronics engineering optoelectronics solid-state electronics semiconductors reliability semiconductor devices reliability engineering applied physics nanoelectronics device reliability microelectronics reliability semiconductor technology radio frequency computer science aluminum gallium nitride electronic materials power semiconductor devices machine learning microwave technology vlsi circuit instrumentation deep learning electronic engineering gan power device vlsi technology printed electronics advanced bipolar transistors cognitive computing electronic design circuit simulation low-power electronics power devices circuit design bipolar transistors transfer learning high voltage engineering soft breakdown data security thermal engineering reliability modelling microwave engineering circuit analysis experimental analysis experimental evaluation computational intelligence analog design reliability analysis time-dependent dielectric breakdown power-aware design analog-to-digital converters compound semiconductors bipolar transistor mixed-signal ics intelligent computing radio engineering hardware reliability vlsi design performance characterization electromigration technique dynamic voltage stress base transit time pulse-mode voltage stress all-spin logic circuit performances integrated circuit simulation low-noise amplifier design gate breakdown gate charge experimental verification automatic control image representation biomedical informatics neuromorphic engineering bio-inspired computation neuroscience computer engineering artificial intelligence neural network neural network (machine learning)

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Functional Microrna-Targeting Drug Discovery by Graph-Based Deep Learning. Patterns (2024)

Arash Keshavarzi ArshadiMilad SalemHeather KarnerKristle GarciaAbolfazl ArabJiann Shiun YuanHani Goodarzi

biological engineeringtranslational bioinformaticscomputational sciencedeep learningpattern miningpattern matchingbioinformaticspattern discoverypattern recognitionpattern analysispharmacologydrug discoverygraph-based deep learningbiomolecular engineering

Impacting Robustness in Deep Learning-Based Nids Through Poisoning Attacks. Algorithms (2024)

Shahad AlahmedQutaiba AlasadJiann-Shiun YuanMohammed Alawad

computer sciencepoisoning attacksdeep learningpoisoningcomputer securitynetwork robustnessrobustness (computer science)machine learning

PROTGO: A Transformer Based Fusion Model for Accurately Predicting Gene Ontology (Go) Terms From Full Scale Protein Sequences. arXiv (Cornell University) (2024)

Tamir, AzwadYuan, Jiann-Shiun

information fusioncomputational modelscomputational biologyprotein bioinformaticsgene ontologysystems biologycomputational genomicsfusion modelbioinformatics

Re-Evaluating Deep Learning Attacks and Defenses in Cybersecurity Systems. Big Data and Cognitive Computing (2024)

Meaad AhmedQutaiba AlasadJiann-Shiun YuanMohammed Alawad

computer sciencebig datadeep learningcognitive computingdata securitycybersecurity systems

Self-Supervised Graph Transformer for Deepfake Detection. IEEE Access (2024)

Aminollah KhormaliJiann-Shiun Yuan

computer sciencesystems engineeringgraph theorygraph processingdeepfake detectioncomputer visiondeep learningsupervised learningelectrical engineeringmachine learning researchinformation technologyself-supervised learningpattern recognitionmachine learningchange detection

PROTEC: A Transformer Based Deep Learning System for Accurate Annotation of Enzyme Commission Numbers. IEEE/ACM Transactions on Computational Biology and Bioinformatics (2023)

Azwad TamirMilad SalemJiann-Shiun Yuan

computer scienceenzyme commission numberscomputational biologydeep learningaccurate annotationannotation toolbioinformatics

Additional File 5 of Moldata, a Molecular Benchmark for Disease and Target Based Machine Learning. Figshare (2022)

Arash Keshavarzi ArshadiMilad SalemArash FirouzbakhtJiann Shiun Yuan

drug discoverybioinformaticsinfectious diseasesmolecular benchmark

AMPDEEP: Hemolytic Activity Prediction of Antimicrobial Peptides Using Transfer Learning. BMC Bioinformatics (2022)

Milad SalemArash Keshavarzi ArshadiJiann Shiun Yuan

transfer learninghemolytic activity predictionimmunologymicrobiologypharmacologybioinformaticsantimicrobial peptides

DFDT: An End-To-End Deepfake Detection Framework Using Vision Transformer. Applied Sciences (2022)

Aminollah KhormaliJiann-Shiun Yuan

computer visiondeep learningfeature detectionvision transformerobject detectionpattern recognitionapplied physicsimage analysisapplied mathematicsmachine learning

Mitigation of Black-Box Attacks on Intrusion Detection Systems-Based ML. Computers (2022)

Shahad AlahmedQutaiba AlasadMaytham M. HammoodJiann-Shiun YuanMohammed Alawad

black-box attackscomputer sciencecomputer security

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Jiann-Shiun Yuan

Professor

University of Central Florida

Affiliations

College of Engineering and Computer Science

Jiann-shiun Yuan is currently serving as a College Of Engineering And Computer Science Professor at University of Central Florida.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Jiann-Shiun Yuan

University of Central Florida

Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Functional Microrna-Targeting Drug Discovery by Graph-Based Deep Learning. Patterns (2024)

Arash Keshavarzi ArshadiMilad SalemHeather KarnerKristle GarciaAbolfazl ArabJiann Shiun YuanHani Goodarzi

Impacting Robustness in Deep Learning-Based Nids Through Poisoning Attacks. Algorithms (2024)

Shahad AlahmedQutaiba AlasadJiann-Shiun YuanMohammed Alawad

computer sciencepoisoning attacksdeep learningpoisoningcomputer securitynetwork robustnessrobustness (computer science)machine learning

PROTGO: A Transformer Based Fusion Model for Accurately Predicting Gene Ontology (Go) Terms From Full Scale Protein Sequences. arXiv (Cornell University) (2024)

Tamir, AzwadYuan, Jiann-Shiun

information fusioncomputational modelscomputational biologyprotein bioinformaticsgene ontologysystems biologycomputational genomicsfusion modelbioinformatics

Re-Evaluating Deep Learning Attacks and Defenses in Cybersecurity Systems. Big Data and Cognitive Computing (2024)

Meaad AhmedQutaiba AlasadJiann-Shiun YuanMohammed Alawad

computer sciencebig datadeep learningcognitive computingdata securitycybersecurity systems

Self-Supervised Graph Transformer for Deepfake Detection. IEEE Access (2024)

Aminollah KhormaliJiann-Shiun Yuan

PROTEC: A Transformer Based Deep Learning System for Accurate Annotation of Enzyme Commission Numbers. IEEE/ACM Transactions on Computational Biology and Bioinformatics (2023)

Azwad TamirMilad SalemJiann-Shiun Yuan

computer scienceenzyme commission numberscomputational biologydeep learningaccurate annotationannotation toolbioinformatics

Additional File 5 of Moldata, a Molecular Benchmark for Disease and Target Based Machine Learning. Figshare (2022)

Arash Keshavarzi ArshadiMilad SalemArash FirouzbakhtJiann Shiun Yuan

drug discoverybioinformaticsinfectious diseasesmolecular benchmark

AMPDEEP: Hemolytic Activity Prediction of Antimicrobial Peptides Using Transfer Learning. BMC Bioinformatics (2022)

Milad SalemArash Keshavarzi ArshadiJiann Shiun Yuan

transfer learninghemolytic activity predictionimmunologymicrobiologypharmacologybioinformaticsantimicrobial peptides

DFDT: An End-To-End Deepfake Detection Framework Using Vision Transformer. Applied Sciences (2022)

Aminollah KhormaliJiann-Shiun Yuan

computer visiondeep learningfeature detectionvision transformerobject detectionpattern recognitionapplied physicsimage analysisapplied mathematicsmachine learning

Mitigation of Black-Box Attacks on Intrusion Detection Systems-Based ML. Computers (2022)

Shahad AlahmedQutaiba AlasadMaytham M. HammoodJiann-Shiun YuanMohammed Alawad

black-box attackscomputer sciencecomputer security

1
2
3
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5
31
10 / page

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