Faculty

Institution

Unit

Venue

Weimao Ke

Associate Professor and Associate Department Head for Graduate Affairs

Drexel University

Affiliations

College of Computing & Informatics

Department of Information Science

Weimao Ke is currently serving as a College Of Computing & Informatics Associate Professor and Associate Department Head for Graduate Affairs at Drexel University.

Honors

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Experiences

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Education

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Weimao Ke

Drexel University

Associate Professor and Associate Department Head for Graduate Affairs

You can click a keyword to filter the displayed items

computer science information retrieval data science machine learning clustering information science information technology systems engineering knowledge discovery artificial intelligence natural language processing machine learning research information management document classification domain model cognitive science network science deep learning cancer care scientometrics scientific computing graph neural networks user feedback bibliometrics document clustering information extraction cancer patients text classification clustering paradox information-theoretic term recommender systems computational intelligence biomedical informatics health information science electronic library web search human-computer interaction data privacy data security communication complexity network complexity prognosis dynamic analysis dynamic process dynamical analysis customer reviews collaborative filtering preference learning user perception life prediction biomedical modeling cancer risk computational medicine information seeking user evaluation quality-of-service classification method collaborative learning classifier systems intelligent classification automatic classification indexing technique data retrieval collaborative computing global brain co-authorship teams deep recommendation model user reviews cross-grained sentiments scientometrics research scholarly database internet movie database scholarly impact analysis fitness model multi-agent framework weak ties technology advanced information system information filtering system artificial society analytics

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Alternatives to Classic Bm25-Idf Based on a New Information Theoretical Framework. 2021 IEEE International Conference on Big Data (Big Data) (2022)

Weimao Ke

scientific computingsystems engineeringinformaticsentity disambiguationdata-intensive computinginformation sciencebig data interoperabilityinformation extractionintelligent information retrievalinformation managementinformation retrievalmachine learning researchknowledge discoverydata sciencebig datacomputer scienceclusteringinformation fusion

Collaboration, Self-Reflection, and Adaptation in Robot Communities: Using Multi-Agent Distributed Learning for Coordination Planning. (2022)

Javed MostafaWeimao Ke

coordination planningsystems engineeringrobot communitiescooperation

A Deep Recommendation Model of Cross-Grained Sentiments of User Reviews and Ratings. Information Processing & Management (2021)

Yao CaiWeimao KeEric CuiFei Yu

user feedbackinformation sciencetext miningrecommender systemsdeep learningmachine learning researchknowledge discoverydata sciencecollaborative filteringcustomer reviewspreference learningcognitive sciencemachine learningpredictive analyticsinformation managementuser perceptiondeep recommendation modeluser reviewscross-grained sentimentsinformation technologycomputer science

Predicting the Survival of Cancer Patients With Multimodal Graph Neural Network. IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021)

Jianliang GaoTengfei LyuFan XiongJianxin WangWeimao KeZhao Li

survival analysismachine learning researchdata sciencecancer riskmedicinebiomedical modelingcancer carecomputational medicinemachine learninghealth sciencesbioinformaticsscientific computingcancer researchgraph neural networkscancer patientslife predictionbiomedical informaticsoncologycomputational intelligence

DLITE: The Discounted Least Information Theory of Entropy. arXiv (Cornell University) (2020)

Weimao Ke

entropyhidden markov modelinformation theorytheoretical computer scienceapplied mathematicsleast information theorycomputer science

MGNN: A Multimodal Graph Neural Network for Predicting the Survival of Cancer Patients. (2020)

Jianliang GaoTengfei LyuFan XiongJianxin WangWeimao KeZhao Li

medicinecancer careradiation oncologycancer researchsurvival analysisgraph neural networksdeep learningoncologyprognosishealth sciencescancer patients

Computational Surprise in Information Retrieval. (2018)

Xi NiuWlodek ZadroznyKazjon GraceWeimao Ke

information retrievalcomputational surprise

Hierarchy Construction and Text Classification Based on the Relaxation Strategy and Least Information Model. Expert Systems with Applications (2018)

Yongping DuJingxuan LiuWeimao KeXuemei Gong

hierarchy constructionsystems engineeringinformaticsrelaxation strategyartificial intelligenceformal methodsnatural language processingtext classificationapplied mathematicsleast information modelmachine learningcomputer science

Predictive Modeling With Vehicle Sensor Data and Iot for Injury Prevention. (2018)

Christopher YangOu LiangSantiago OntanonWeimao KeHelen LoebCharlie Klauer

injury preventionpredictive modelinginternet of vehiclesdata sciencevehicle sensor datamachine learninginternet of things

Visual Analysis of Distributed Search Traffic in a Peer-To-Peer Network. (2018)

Weimao Ke

network visualizationsinformation visualizationvisual analysisvisualizationsearch trafficcomputer sciencepeer-to-peer network

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Weimao Ke

Associate Professor and Associate Department Head for Graduate Affairs

Drexel University

Affiliations

College of Computing & Informatics

Department of Information Science

Weimao Ke is currently serving as a College Of Computing & Informatics Associate Professor and Associate Department Head for Graduate Affairs at Drexel 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

Weimao Ke

Drexel University

Associate Professor and Associate Department Head for Graduate Affairs

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Alternatives to Classic Bm25-Idf Based on a New Information Theoretical Framework. 2021 IEEE International Conference on Big Data (Big Data) (2022)

Weimao Ke

Collaboration, Self-Reflection, and Adaptation in Robot Communities: Using Multi-Agent Distributed Learning for Coordination Planning. (2022)

Javed MostafaWeimao Ke

coordination planningsystems engineeringrobot communitiescooperation

A Deep Recommendation Model of Cross-Grained Sentiments of User Reviews and Ratings. Information Processing & Management (2021)

Yao CaiWeimao KeEric CuiFei Yu

Predicting the Survival of Cancer Patients With Multimodal Graph Neural Network. IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021)

Jianliang GaoTengfei LyuFan XiongJianxin WangWeimao KeZhao Li

DLITE: The Discounted Least Information Theory of Entropy. arXiv (Cornell University) (2020)

Weimao Ke

entropyhidden markov modelinformation theorytheoretical computer scienceapplied mathematicsleast information theorycomputer science

MGNN: A Multimodal Graph Neural Network for Predicting the Survival of Cancer Patients. (2020)

Jianliang GaoTengfei LyuFan XiongJianxin WangWeimao KeZhao Li

medicinecancer careradiation oncologycancer researchsurvival analysisgraph neural networksdeep learningoncologyprognosishealth sciencescancer patients

Computational Surprise in Information Retrieval. (2018)

Xi NiuWlodek ZadroznyKazjon GraceWeimao Ke

information retrievalcomputational surprise

Hierarchy Construction and Text Classification Based on the Relaxation Strategy and Least Information Model. Expert Systems with Applications (2018)

Yongping DuJingxuan LiuWeimao KeXuemei Gong

Predictive Modeling With Vehicle Sensor Data and Iot for Injury Prevention. (2018)

Christopher YangOu LiangSantiago OntanonWeimao KeHelen LoebCharlie Klauer

injury preventionpredictive modelinginternet of vehiclesdata sciencevehicle sensor datamachine learninginternet of things

Visual Analysis of Distributed Search Traffic in a Peer-To-Peer Network. (2018)

Weimao Ke

network visualizationsinformation visualizationvisual analysisvisualizationsearch trafficcomputer sciencepeer-to-peer network

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healthcare informatics

biomedical informatics

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causal prediction

multidisciplinary ai

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healthcare informatics

clinical decision support system

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