Faculty

Institution

Unit

Venue

Samuel Cheng

Associate Professor

University of Oklahoma

Affiliations

Gallogly College of Engineering

Electrical and Computer Engineering

NORMAN CAMPUS COLLEGES

Gallogly College of Engineering

Samuel Cheng is currently serving as an Electrical And Computer Engineering Associate Professor at University of Oklahoma.

Honors

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Experiences

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Education

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Samuel Cheng

University of Oklahoma

Associate Professor

You can click a keyword to filter the displayed items

computer science machine learning electrical engineering computer vision signal processing digital signal processing pattern recognition communications systems wireless communications medical imaging systems engineering deep learning communication computational imaging biomedical imaging machine vision distributed source coding data privacy algebraic coding theory data compression image compression optical engineering video processing image registration information technology cancer imaging image representation multimedia information processing information theory medical image analysis belief propagation breast imaging low-rank matrix completion data security computer-aided diagnosis deep learning technology transaction processing 3d computer vision wyner-ziv coding communication security multimedia computing federated learning correlation estimation obstetrics and gynaecology cognitive radio eeg signal processing source code analysis statistical signal processing ldpc codes side information particle-based belief propagation brain modulation entropy speech processing spectrum management digital watermarking motion analysis model compression gait analysis expectation propagation rate-distortion function multiple sources medical images sparse coding source coding engineering optimization classification method privacy-preserving communication benchmark studies biomedical research energy optimization condition monitoring data coding visual communication frequency management code design image segmentation artificial intelligence intelligent computing statistical pattern recognition computational intelligence data science pattern recognition application cancer diagnosis

Notable Scholarly Works

Notable Federal Grants

Collaborators

EADR: Entropy Adjusted Dynamic Routing Capsule Networks. (2025)

network analysiscommunications systemscomputer sciencesystems engineeringtelecommunication networksnetwork routingnetworked system designrouting protocolsnetwork routing algorithmnetwork science

A Polynomial Proxy Model Approach to Verifiable Decentralized Federated Learning. Scientific Reports (2024)

Tan LiSamuel ChengTak Lam ChanHaibo Hu

data privacydecentralized privacyfederated learningdata sciencescientific integritydecentralised systemmachine learning

Exploring the Efficacy of Learning Techniques in Model Extraction Attacks on Image Classifiers: A Comparative Study. Applied Sciences (2024)

Dong HanReza BabaeiShangqing ZhaoSamuel Cheng

computer sciencedeep learningcomparative studyimage classifiersmodel extraction attackscomputer securityimage classificationdata scienceapplied mathematicsmachine learning

Non-Iterative Cluster Routing: Analysis and Implementation Strategies. Applied Sciences (2024)

Huong PhamSamuel Cheng

non-iterative cluster routingapplied mathematicsapplied economics

A Survey on Deep Reinforcement Learning Algorithms for Robotic Manipulation. Sensors (2023)

Dong HanBeni MulyanaVladimir StankovicSamuel Cheng

technologyrobotic manipulationdeep reinforcement learningreinforcement learningrobotics

Bayesian Federated Neural Matching That Completes Full Information. Proceedings of the AAAI Conference on Artificial Intelligence (2023)

Peng XiaoSamuel Cheng

artificial intelligencecomputer scienceneural matchingsupervised learningbayesian inferencemachine intelligencefederated learningcomputational intelligencebayesian analysismachine learning

Efficient Pooling Operator for 3D Morphable Models. IEEE Transactions on Visualization and Computer Graphics (2023)

Haoliang ZhangSamuel ChengChristian El AmmJonghoon Kim

computer science3d modelingcomputer visionvisualization3d computer visionefficient pooling operatorgeometric modelingvisualization (graphics)pattern recognitionmachine learningcomputational visualization

Enhancing Semantic Segmentation Through Reinforced Active Learning: Combating Dataset Imbalances and Bolstering Annotation Efficiency. Journal of Electronic & Information Systems (2023)

Dong HanPham HuongSamuel Cheng

informaticscomputer sciencedeep learningsemantic segmentationinformation technologynatural language processingannotation efficiencyactive learningmachine learning

Author Response for"Online Closed‐Loop Real‐Time Tes‐Fmri for Brain Modulation: A Technical Report". (2022)

None Beni MulyanaNone Aki TsuchiyagaitoNone Masaya MisakiNone Rayus KuplickiNone Jared SmithNone Ghazaleh SoleimaniNone Ashkan RashediNone Duke ShereenNone Til Ole BergmanNone Samuel ChengNone Martin P. PaulusNone Jerzy BodurkaNone Hamed Ekhtiari

cognitive neuroscienceneuroscienceneuroimagingauthor responsebrain modulation

Group Ensemble Block: Subspace Diversity Improves Coarse-To-Fine Image Retrieval. IEEE Transactions on Artificial Intelligence (2022)

Zhihao ZhaoShangqing ZhaoSamuel Cheng

artificial intelligencecomputer sciencedistributed artificial intelligencecomputer visiongroup ensemble blocksubspace diversitycoarse-to-fine image retrievalmachine intelligenceimage retrievalcomputational intelligencepattern recognitionmachine learning

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Samuel Cheng

Associate Professor

University of Oklahoma

Affiliations

Gallogly College of Engineering

Electrical and Computer Engineering

NORMAN CAMPUS COLLEGES

Gallogly College of Engineering

Samuel Cheng is currently serving as an Electrical And Computer Engineering Associate Professor at University of Oklahoma.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Samuel Cheng

University of Oklahoma

Associate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

EADR: Entropy Adjusted Dynamic Routing Capsule Networks. (2025)

network analysiscommunications systemscomputer sciencesystems engineeringtelecommunication networksnetwork routingnetworked system designrouting protocolsnetwork routing algorithmnetwork science

A Polynomial Proxy Model Approach to Verifiable Decentralized Federated Learning. Scientific Reports (2024)

Tan LiSamuel ChengTak Lam ChanHaibo Hu

data privacydecentralized privacyfederated learningdata sciencescientific integritydecentralised systemmachine learning

Exploring the Efficacy of Learning Techniques in Model Extraction Attacks on Image Classifiers: A Comparative Study. Applied Sciences (2024)

Dong HanReza BabaeiShangqing ZhaoSamuel Cheng

computer sciencedeep learningcomparative studyimage classifiersmodel extraction attackscomputer securityimage classificationdata scienceapplied mathematicsmachine learning

Non-Iterative Cluster Routing: Analysis and Implementation Strategies. Applied Sciences (2024)

Huong PhamSamuel Cheng

non-iterative cluster routingapplied mathematicsapplied economics

A Survey on Deep Reinforcement Learning Algorithms for Robotic Manipulation. Sensors (2023)

Dong HanBeni MulyanaVladimir StankovicSamuel Cheng

technologyrobotic manipulationdeep reinforcement learningreinforcement learningrobotics

Bayesian Federated Neural Matching That Completes Full Information. Proceedings of the AAAI Conference on Artificial Intelligence (2023)

Peng XiaoSamuel Cheng

artificial intelligencecomputer scienceneural matchingsupervised learningbayesian inferencemachine intelligencefederated learningcomputational intelligencebayesian analysismachine learning

Efficient Pooling Operator for 3D Morphable Models. IEEE Transactions on Visualization and Computer Graphics (2023)

Haoliang ZhangSamuel ChengChristian El AmmJonghoon Kim

Enhancing Semantic Segmentation Through Reinforced Active Learning: Combating Dataset Imbalances and Bolstering Annotation Efficiency. Journal of Electronic & Information Systems (2023)

Dong HanPham HuongSamuel Cheng

informaticscomputer sciencedeep learningsemantic segmentationinformation technologynatural language processingannotation efficiencyactive learningmachine learning

Author Response for"Online Closed‐Loop Real‐Time Tes‐Fmri for Brain Modulation: A Technical Report". (2022)

cognitive neuroscienceneuroscienceneuroimagingauthor responsebrain modulation

Group Ensemble Block: Subspace Diversity Improves Coarse-To-Fine Image Retrieval. IEEE Transactions on Artificial Intelligence (2022)

Zhihao ZhaoShangqing ZhaoSamuel Cheng

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