Faculty

Institution

Unit

Venue

Chen Li

Professor

University of California, Irvine

Affiliations

Donald Bren School of Information and Computer Sciences

Department of Computer Science

Chen Li is currently serving as a Computer Science Professor at University of California, Irvine.

Honors

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Experiences

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Education

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Chen Li

University of California, Irvine

Professor

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computer science data science information retrieval machine learning knowledge discovery machine learning research data mining data management databases query optimization big data data security similarity search very large database query analysis clustering fuzzy logic string-searching algorithm information security information fusion database theory query expansion text mining fuzzy sets fuzzy systems information technology data indexing applied mathematics data privacy scientific computing question answering string processing statistics data engineering keyword search large-scale datasets query models map-reduce generative adversarial networks database processing fuzzy computing fuzzy pattern recognition search technology arithmetic comparisons medical internet research soft computing approximate reasoning information management approximate query answering indexing technique database technology geographic analytics database security large data sets approximate queries string collections drug design health information science geographic information retrieval interactive information retrieval interactive search keyword extraction xml language database systems location estimation improving performance fuzzy search stock price prediction apache asterixdb area skyline query distributed multi-party databases database-service-provider model filtering algorithms approximate string searches efficient merging variable-length grams applied artificial intelligence multidisciplinary ai intelligent computing industrial artificial intelligence data-intensive computing analytics

Notable Scholarly Works

Notable Federal Grants

Collaborators

Bioinformatics and Deep Learning Approach to Discover Food-Derived Active Ingredients for Alzheimer’s Disease Therapy. Foods (2025)

Junyu ZhouChen LiYong Kwan KimSunmin Park

disease therapyfood-derived active ingredientsdeep learningfood scienceactive ingredientalzheimer's diseasebioinformatics

AI-Driven Transcriptome Profile-Guided Hit Molecule Generation. Artificial Intelligence (2024)

Chen LiYoshihiro Yamanishi

transcriptometranscriptomics technologygene expressionsystems biologyartificial intelligenceintelligent processingdeep learningdata sciencehit identificationmolecular informaticsmachine learning

Brain Image Data Processing Using Collaborative Data Workflows on Texera. Frontiers in Neural Circuits (2024)

Yunyan DingYicong HuangPan GaoAndy ThaiAtchuth Naveen ChilaparasettiM. GopiXiangmin XuChen Li

cognitive neurosciencebrain image datacollaborative data workflowsneuroimagingneuroinformaticsdata sciencecomputer scienceneurosciencebioinformatics

Data Science Tasks Implemented With Scripts Versus Gui-Based Workflows: The Good, the Bad, and the Ugly. (2024)

Alexander K. TaylorYicong HuangJunheng HaoXinyuan LinXiusi ChenWei WangChen Li

gui-based workflowsdata science

Demonstration of Udon: Line-By-Line Debugging of User-Defined Functions in Data Workflows. (2024)

Yicong HuangZuozhi WangChen Li

systems engineeringline-by-line debuggingdata workflowsuser-defined functionsmachine learning

De Novo Generation of Dual-Target Compounds Using Artificial Intelligence. iScience (2024)

Kasumi YasudaFrancois BerengerKazuma AmaikeAyaka UedaTomoya NakagomiGenki HamasakiChen LiNoriko Yuyama OtaniKazuma KaitohKoji TsudaKenichiro ItamiYoshihiro Yamanishi

dual-target compoundschemistry

MACGAN: A Moment-Actor-Critic Reinforcement Learning-Based Generative Adversarial Network for Molecular Generation. Lecture notes in computer science (2024)

Huidong TangChen LiShuai JiangHuachong YuSayaka KameiYoshihiro YamanishiYasuhiko Morimoto

molecular generationmachine learningreinforcement learninggenerative adversarial networkscomputer science

Mining Area Skyline Objects From Map-Based Big Data Using Apache Spark Framework. Array (2024)

Chen LiYe ZhuYang CaoJinli ZhangAnnisa AnnisaDebo ChengYasuhiko Morimoto

apache spark frameworkbig spatiotemporal data analyticsknowledge discoverydata sciencebig dataspatial databasesarray computingbig data searchdata miningarea skyline objectslarge-scale datasetsmachine learningbig data acquisitionscientific computingurban geographygeographydigital earthmap-based big dataclusteringcomputer scienceinformation fusion

Quantitative Evaluation of Molecular Generation Performance of Graph-Based Gans. Software Quality Journal (2024)

Jinli ZhangZhenbo WangZongli JiangMan WuChen LiYoshihiro Yamanishi

software qualitygraph neural networksmolecular biologygraph-based gansquantitative evaluationmolecular generation performancegenerative adversarial networksmolecular informatics

Ripple Knowledge Graph Convolutional Networks for Recommendation Systems. Deleted Journal (2024)

Chen LiYang CaoYe ZhuDebo ChengChengyuan LiYasuhiko Morimoto

machine learningconvolutional neural networksknowledge graphsrecommender systemsgraph neural networksrecommendation systemsdeep learningknowledge discoverydata sciencecomputer scienceripple knowledgeconvolutional networks

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Chen Li

Professor

University of California, Irvine

Affiliations

Donald Bren School of Information and Computer Sciences

Department of Computer Science

Chen Li is currently serving as a Computer Science Professor at University of California, Irvine.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Chen Li

University of California, Irvine

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Bioinformatics and Deep Learning Approach to Discover Food-Derived Active Ingredients for Alzheimer’s Disease Therapy. Foods (2025)

Junyu ZhouChen LiYong Kwan KimSunmin Park

disease therapyfood-derived active ingredientsdeep learningfood scienceactive ingredientalzheimer's diseasebioinformatics

AI-Driven Transcriptome Profile-Guided Hit Molecule Generation. Artificial Intelligence (2024)

Chen LiYoshihiro Yamanishi

transcriptometranscriptomics technologygene expressionsystems biologyartificial intelligenceintelligent processingdeep learningdata sciencehit identificationmolecular informaticsmachine learning

Brain Image Data Processing Using Collaborative Data Workflows on Texera. Frontiers in Neural Circuits (2024)

Yunyan DingYicong HuangPan GaoAndy ThaiAtchuth Naveen ChilaparasettiM. GopiXiangmin XuChen Li

cognitive neurosciencebrain image datacollaborative data workflowsneuroimagingneuroinformaticsdata sciencecomputer scienceneurosciencebioinformatics

Data Science Tasks Implemented With Scripts Versus Gui-Based Workflows: The Good, the Bad, and the Ugly. (2024)

Alexander K. TaylorYicong HuangJunheng HaoXinyuan LinXiusi ChenWei WangChen Li

gui-based workflowsdata science

Demonstration of Udon: Line-By-Line Debugging of User-Defined Functions in Data Workflows. (2024)

Yicong HuangZuozhi WangChen Li

systems engineeringline-by-line debuggingdata workflowsuser-defined functionsmachine learning

De Novo Generation of Dual-Target Compounds Using Artificial Intelligence. iScience (2024)

Kasumi YasudaFrancois BerengerKazuma AmaikeAyaka UedaTomoya NakagomiGenki HamasakiChen LiNoriko Yuyama OtaniKazuma KaitohKoji TsudaKenichiro ItamiYoshihiro Yamanishi

dual-target compoundschemistry

MACGAN: A Moment-Actor-Critic Reinforcement Learning-Based Generative Adversarial Network for Molecular Generation. Lecture notes in computer science (2024)

Huidong TangChen LiShuai JiangHuachong YuSayaka KameiYoshihiro YamanishiYasuhiko Morimoto

molecular generationmachine learningreinforcement learninggenerative adversarial networkscomputer science

Mining Area Skyline Objects From Map-Based Big Data Using Apache Spark Framework. Array (2024)

Chen LiYe ZhuYang CaoJinli ZhangAnnisa AnnisaDebo ChengYasuhiko Morimoto

Quantitative Evaluation of Molecular Generation Performance of Graph-Based Gans. Software Quality Journal (2024)

Jinli ZhangZhenbo WangZongli JiangMan WuChen LiYoshihiro Yamanishi

software qualitygraph neural networksmolecular biologygraph-based gansquantitative evaluationmolecular generation performancegenerative adversarial networksmolecular informatics

Ripple Knowledge Graph Convolutional Networks for Recommendation Systems. Deleted Journal (2024)

Chen LiYang CaoYe ZhuDebo ChengChengyuan LiYasuhiko Morimoto

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Similar Faculty Members

Sharad Mehrotra

Institution

University of California, Irvine

distributed data management

big data

Ophir Frieder

Institution

Georgetown University

health technology

scalable information

Wei Wang

Institution

University of California, Los Angeles

big data

biomedical informatics

Farshad Fotouhi

Institution

Wayne State University

biomedical ontologies

databases, information systems, ai/ml, medical informatics

Xia Ben Hu

Institution

Rice University

medical expert system

machine learning algorithms

Cornelia Caragea

Institution

University of Illinois Chicago

language resource

multidisciplinary ai

Amr El Abbadi

Institution

University of California, Santa Barbara

computer science

systems engineering

Xiaohua Tony Hu

Institution

Drexel University

healthcare informatics

biomedical informatics

Jeffrey Ullman

Institution

Stanford University

computer science

machine learning

Latifur Khan

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