Faculty

Institution

Unit

Venue

Deming Chen

Abel Bliss Professor of Engineering Professor

UIUC

Affiliations

The Grainger College of Engineering

Department of Electrical and Computer Engineering

Electrical & Computer Engineering

Deming Chen is currently serving as an Electrical And Computer Engineering Abel Bliss Professor of Engineering Professor at Uiuc.

Honors

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Experiences

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Education

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Deming Chen

UIUC

Abel Bliss Professor of Engineering Professor

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computer engineering computer science computer architecture high performance computer architecture field programmable gate array design automation fpga design hardware acceleration parallel computing deep learning neural network (machine learning) integrated circuits microarchitecture embedded systems machine learning vlsi circuit systems engineering electrical engineering high-performance architectures parallel programming computational intelligence domain-specific accelerator machine learning research embedded machine learning reconfigurable architectures vlsi technology convolutional neural networks gpu computing computer vision electronics power-aware design hardware architecture logic synthesis machine vision vlsi design gpu architecture neural architecture search electronic materials hardware algorithm high-level synthesis image representation computer-aided design cryptographic hardware graphene nanoribbons computer design device modeling solid-state electronics high throughput sequencing power-aware computing model compression circuit design high level synthesis power-efficient computing object detection power consumption semiconductor devices electronic design automation timing analysis power optimization (eda) next-generation sequencing design space exploration deep neural networks graph processing fpga architectures deep neural network high accuracy cuda kernels dynamic power consumption fpga designs hls designs process variation fpga architecture cuda programming model embedded fpga edge roughness dynamic behavior cloud computing next generation computing system on chip hardware platform

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Detection of Compromised Entities in Cross-Domain Communication Systems. ACM Transactions on Cyber-Physical Systems (2025)

Shiqing LiUtku TefekErtem EsinerZbigniew KalbarczykDeming Chen

cross-domain communication systemsintrusion detection systemsinformation forensicsdata privacycommunication securitycompromised entitiescomputer securitynetwork securitydata scienceinformation securitydata securityanomaly detectionthreat detectioncomputer science

MLCD: M Achine L Earning-Based C Ode Version and D Evice Selection for Heterogeneous Systems. IEEE Transactions on Computers (2025)

Kaiwen CaoHanchen YeYihan PangDeming Chen

mathematical programmingnumerical analysiscomputational optimizationcomputer engineeringdiscrete modelingmodeling and simulationscientific computingcomputational mathematicsnumerical mathematicsnumerical algorithmsheterogeneous modelingcomputational engineeringheterogeneous systemsapplied mathematicssystems engineeringprocess controlgeneral systemsdynamical systemssystems modelingnumerical linear algebra

OPENRTLSET: A Fully Open-Source Dataset for Large Language Model-Based Verilog Module Design. (2025)

Jinghua WangLily Jiaxin WanSanjana PingaliScott SmithManvi JhaShalini SivakumarXing ZhaoKaiwen CaoDeming Chen

code generationsoftware analysisintermediate representationsoftware engineeringprogram analysisprogram synthesisformal methodslanguage modelsfully open-source datasetdata sciencelanguage resourcesformal verificationextensible languagesprogramming languagescomputer sciencelarge language models

Preface - a Reinforcement Learning Framework for Code Verification via Llm Prompt Repair. Proceedings of the Great Lakes Symposium on VLSI 2022 (2025)

Manvi JhaJiaxin WanHuan ZhangDeming Chen

code generationsystems engineeringsoftware analysiscode verificationprogram checkingverificationautomated repairsoftware engineeringprogram analysisreinforcement learningformal methodsreinforcement learning frameworkllm-based agentformal verificationcomputer sciencesoftware testingautomated reasoningllm prompt repair

VISTA: Vector Indexing and Search for Large-Scale Imbalanced Datasets. (2025)

Yujian FuCheng ChenYao ChenWeng-Fai WongBingsheng He

vector indexingdata miningknowledge discoverydata scienceclass imbalancescomputer science

Acceleration of Graph Neural Networks With Heterogenous Accelerators Architecture. (2024)

Kaiwen CaoArchit GajjarLiad GerstmanKun WuSai Rahul ChalamalasettiAditya DhakalGiacomo PedrettiPavana PrakashWen-Mei HwuDeming ChenDejan Milojicic

neural network (machine learning)microarchitecturecomputer engineeringparallel computinggraph neural networkshigh performance computer architecturecomputational intelligencedomain-specific acceleratorcomputer science

An Exploratory Study of Using Llm to Detect Credit Card Fraud. IEEE International Workshop on LLM-Aided Design (LAD) (2024)

Deming Chen

credit card fraudinformation forensicsfraud detectionfraudexploratory studyinformation securityfinancial crime

An Iteratively-Refined Dataset for High-Level Synthesis Functional Verification Through Llm-Aided Bug Injection. (2024)

Lily Jiaxin WanHanchen YeJinghua WangManvi JhaDeming Chen

code generationsystem synthesissoftware analysisiteratively-refined datasetverificationlogic synthesiscomputer engineeringsoftware engineeringsoftware designprogram analysisfunctional verificationprogram synthesisllm-aided bug injectionformal verificationcomputer sciencesoftware testingdesign automation

AUTOAI2C: An Automated Hardware Generator for Dnn Acceleration on Both Fpga and Asic. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2024)

Yongan ZhangXiaofan ZhangPengfei XuYang ZhaoCong HaoDeming ChenYingyan Lin

embedded machine learningboth fpganeural network (machine learning)machine learningcomputer engineeringhardware accelerationartificial intelligencecomputer architecturednn accelerationdeep learninghigh performance computer architecturefield programmable gate arrayautomated hardware generatorcomputational intelligencedomain-specific acceleratorcomputer sciencedesign automation

Charm 2.0: Composing Heterogeneous Accelerators for Deep Learning on Versal Acap Architecture. ACM Transactions on Reconfigurable Technology and Systems (2024)

Jinming ZhuangJason LauHanchen YeZhuoping YangShixin JiJack LoKristof DenolfStephen NeuendorfferAlex JonesJingtong HuYiyu ShiDeming ChenJason CongPeipei Zhou

high-performance architecturesmicroarchitecturefpga designcomputer engineeringparallel computinghardware accelerationcomputer architecturecharm frameworkdeep learninghigh performance computer architecturefield programmable gate arraydomain-specific acceleratorneural network (machine learning)charm 2.0computer science

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Deming Chen

Abel Bliss Professor of Engineering Professor

UIUC

Affiliations

The Grainger College of Engineering

Department of Electrical and Computer Engineering

Electrical & Computer Engineering

Deming Chen is currently serving as an Electrical And Computer Engineering Abel Bliss Professor of Engineering Professor at Uiuc.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Deming Chen

UIUC

Abel Bliss Professor of Engineering Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Detection of Compromised Entities in Cross-Domain Communication Systems. ACM Transactions on Cyber-Physical Systems (2025)

Shiqing LiUtku TefekErtem EsinerZbigniew KalbarczykDeming Chen

MLCD: M Achine L Earning-Based C Ode Version and D Evice Selection for Heterogeneous Systems. IEEE Transactions on Computers (2025)

Kaiwen CaoHanchen YeYihan PangDeming Chen

OPENRTLSET: A Fully Open-Source Dataset for Large Language Model-Based Verilog Module Design. (2025)

Jinghua WangLily Jiaxin WanSanjana PingaliScott SmithManvi JhaShalini SivakumarXing ZhaoKaiwen CaoDeming Chen

Preface - a Reinforcement Learning Framework for Code Verification via Llm Prompt Repair. Proceedings of the Great Lakes Symposium on VLSI 2022 (2025)

Manvi JhaJiaxin WanHuan ZhangDeming Chen

VISTA: Vector Indexing and Search for Large-Scale Imbalanced Datasets. (2025)

Yujian FuCheng ChenYao ChenWeng-Fai WongBingsheng He

vector indexingdata miningknowledge discoverydata scienceclass imbalancescomputer science

Acceleration of Graph Neural Networks With Heterogenous Accelerators Architecture. (2024)

Kaiwen CaoArchit GajjarLiad GerstmanKun WuSai Rahul ChalamalasettiAditya DhakalGiacomo PedrettiPavana PrakashWen-Mei HwuDeming ChenDejan Milojicic

An Exploratory Study of Using Llm to Detect Credit Card Fraud. IEEE International Workshop on LLM-Aided Design (LAD) (2024)

Deming Chen

credit card fraudinformation forensicsfraud detectionfraudexploratory studyinformation securityfinancial crime

An Iteratively-Refined Dataset for High-Level Synthesis Functional Verification Through Llm-Aided Bug Injection. (2024)

Lily Jiaxin WanHanchen YeJinghua WangManvi JhaDeming Chen

AUTOAI2C: An Automated Hardware Generator for Dnn Acceleration on Both Fpga and Asic. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2024)

Yongan ZhangXiaofan ZhangPengfei XuYang ZhaoCong HaoDeming ChenYingyan Lin

Charm 2.0: Composing Heterogeneous Accelerators for Deep Learning on Versal Acap Architecture. ACM Transactions on Reconfigurable Technology and Systems (2024)

Jinming ZhuangJason LauHanchen YeZhuoping YangShixin JiJack LoKristof DenolfStephen NeuendorfferAlex JonesJingtong HuYiyu ShiDeming ChenJason CongPeipei Zhou

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10 / page