Faculty

Institution

Unit

Venue

Lizhong Chen

Associate Professor

Oregon State University

Affiliations

College of Engineering

School of Electrical Engineering and Computer Science

Lizhong Chen is currently serving as a College Of Engineering Associate Professor at Oregon State University.

Honors

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Experiences

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Education

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Lizhong Chen

Oregon State University

Associate Professor

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computer science computer engineering computer architecture systems engineering machine learning electrical engineering network on chip parallel computing high performance computer architecture microarchitecture deep learning networked system design distributed systems built environment communications systems router architecture router design scientific computing high-performance architectures geographic information systems parallel programming transactional memory urban planning electronics engineering optimization accelerator technology interconnection network architecture manycore processor many-core architectures deep reinforcement learning distributed computing caching efficient implementation temperature-aware application mapping node-router decoupling futility scaling automatic control thermal engineering insect science swarm intelligence power electronics green building environmental impact assessment building pathology landscape planning earth observation thermal management processor architectures epidemiologic research exposure assessment environmental epidemiology design space exploration gpu architecture gpu virtualization gpu computing gpu benchmarking gpu cluster power consumption building science building performance accelerator physics network optimization parallel implementation evaluation methodology on-chip routers effective power-gating contention latency packet latency flattened butterfly minimizing performance penalty soft errors deep learning accelerators high-associativity cache partitioning shortcut mining dcnn accelerators critical bubble scheme artificial intelligence large ai model natural language generation advanced computing intelligent computing computational intelligence industrial artificial intelligence ai architecture data science natural language processing ai accelerators

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Developing Nationwide Estimates of Built Environment Quality Characteristics Using Street-View Imagery and Computer Vision. Environmental Science & Technology (2025)

architecturegreen buildingbuilding performanceenvironmental impact assessmentcomputer visionurban planninggeographybuilding pathologycivil engineeringbuilt environmentbuilding sciencestreet-view imagerygeographic information systemsnationwide estimates

Findings of the Iwslt 2025 Evaluation Campaign. (2025)

program evaluationevaluation methodologyresearch evaluationevaluation techniquesresearch policyevaluation campaignscience and technology studiespublic policyeducational assessmentperformance evaluation

Literature Review. Diversity and inclusion research (2025)

Christopher M. ClappJohn PepperRobert SchmidtSteven Stern

Llm-Rankfusion: Mitigating Intrinsic Inconsistency in Llm-Based Ranking. arXiv (Cornell University) (2024)

Zeng, YifanTendolkar, OjasBaartmans, RaymondWu, QingyunWang, HuazhengChen, Lizhong

learning to rankllm-based rankingmachine learningartificial intelligenceranking algorithmsnatural language processingmitigating intrinsic inconsistencycomputer science

Simul-Llm: A Framework for Exploring High-Quality Simultaneous Translation With Large Language Models. arXiv (Cornell University) (2024)

Victor AgostinelliMax WildMatthew RaffelKazi FuadLizhong Chen

high-quality simultaneous translationmodeling and simulationcomputer sciencemachine learning

Simultaneous Masking, Not Prompting Optimization: A Paradigm Shift in Fine-Tuning Llms for Simultaneous Translation. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2024)

multimodal translationspoken language technologytranslation studiesspeech translationcomputational linguisticscomputer-assisted translationsimultaneous translationfine-tuning llmsneural machine translationlanguage modelsllm fine-tuninglanguagemachine translationcomputer sciencelinguisticssimultaneous masking

A Survey on Sparsity Exploration in Transformer-Based Accelerators. Electronics (2023)

Kazi Ahmed Asif FuadLizhong Chen

sparsity explorationaccelerator physicstransformer-based acceleratorsaccelerator technologyelectronicselectrical engineeringcomputer scienceoptoelectronicsengineering

Implicit Memory Transformer for Computationally Efficient Simultaneous Speech Translation. Findings of the Association for Computational Linguistics: ACL 2022 (2023)

real-time languagespoken language technologyspeech translationspeech communicationspeech processingimplicit memory transformerlanguage modelsspeech recognitionlanguagemachine translationlinguisticsspeech output

Improving Autoregressive NLP Tasks via Modular Linearized Attention. arXiv (Cornell University) (2023)

Agostinelli, VictorChen, Lizhong

autoregressive nlp tasksmachine learningdeep learningnatural language processingcomputer sciencemodular linearized attention

RAPID: Enabling Fast Online Policy Learning in Dynamic Public Cloud Environments. Neurocomputing (2023)

Drew PenneyBin LiLizhong ChenJaroslaw J. SydirAnna Drewek-OssowickaRamesh IllikkalCharlie TaiRavi IyerAndrew Herdrich

systems engineeringonline policy learningmachine learningonline learninghuman-computer interactionneurocomputersneuroinformaticscomputer scienceneurosciencecloud computing

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Lizhong Chen

Associate Professor

Oregon State University

Affiliations

College of Engineering

School of Electrical Engineering and Computer Science

Lizhong Chen is currently serving as a College Of Engineering Associate Professor at Oregon State University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Lizhong Chen

Oregon State University

Associate Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Developing Nationwide Estimates of Built Environment Quality Characteristics Using Street-View Imagery and Computer Vision. Environmental Science & Technology (2025)

Findings of the Iwslt 2025 Evaluation Campaign. (2025)

Literature Review. Diversity and inclusion research (2025)

Christopher M. ClappJohn PepperRobert SchmidtSteven Stern

Llm-Rankfusion: Mitigating Intrinsic Inconsistency in Llm-Based Ranking. arXiv (Cornell University) (2024)

Zeng, YifanTendolkar, OjasBaartmans, RaymondWu, QingyunWang, HuazhengChen, Lizhong

learning to rankllm-based rankingmachine learningartificial intelligenceranking algorithmsnatural language processingmitigating intrinsic inconsistencycomputer science

Simul-Llm: A Framework for Exploring High-Quality Simultaneous Translation With Large Language Models. arXiv (Cornell University) (2024)

Victor AgostinelliMax WildMatthew RaffelKazi FuadLizhong Chen

high-quality simultaneous translationmodeling and simulationcomputer sciencemachine learning

A Survey on Sparsity Exploration in Transformer-Based Accelerators. Electronics (2023)

Kazi Ahmed Asif FuadLizhong Chen

sparsity explorationaccelerator physicstransformer-based acceleratorsaccelerator technologyelectronicselectrical engineeringcomputer scienceoptoelectronicsengineering

Implicit Memory Transformer for Computationally Efficient Simultaneous Speech Translation. Findings of the Association for Computational Linguistics: ACL 2022 (2023)

Improving Autoregressive NLP Tasks via Modular Linearized Attention. arXiv (Cornell University) (2023)

Agostinelli, VictorChen, Lizhong

autoregressive nlp tasksmachine learningdeep learningnatural language processingcomputer sciencemodular linearized attention

RAPID: Enabling Fast Online Policy Learning in Dynamic Public Cloud Environments. Neurocomputing (2023)

Drew PenneyBin LiLizhong ChenJaroslaw J. SydirAnna Drewek-OssowickaRamesh IllikkalCharlie TaiRavi IyerAndrew Herdrich

systems engineeringonline policy learningmachine learningonline learninghuman-computer interactionneurocomputersneuroinformaticscomputer scienceneurosciencecloud computing

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Similar Faculty Members

David Andrews

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hybridthreads

reconfigurable computing

Hari Subramoni

Institution

Ohio State University

parallel computing

distributed system

Janardhan Rao Jana Doppa

Institution

Oregon State University

industrial artificial intelligence

machine learning

James C. Hoe

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design automation

high-level hardware design

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hardware algorithm

Sanghamitra Roy

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design automation

vlsi testing

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industrial informatics

grid computing

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Utah State University

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design automation

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Ohio State University

high-performance computing

big data

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University of Texas at Austin

workload characterization

big data