Faculty

Institution

Unit

Venue

Yu Sun

Adjunct Associate Professor of Computer Science

Vanderbilt University

Affiliations

College of Connected Computing

Computer Science

Graduate School

Computer Science

Yu Sun is currently serving as a College Of Connected Computing Adjunct Associate Professor of Computer Science at Vanderbilt University.

Honors

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Experiences

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Education

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Yu Sun

Vanderbilt University

Adjunct Associate Professor of Computer Science

You can click a keyword to filter the displayed items

computer science data science systems engineering intelligent computing technology software engineering human-computer interaction internet of things computational intelligence computer vision mobile computing ubiquitous computing deep learning model transformation cloud computing modeling and simulation machine vision web search iot system model-based software development software analysis gray computing extended reality programming languages information technology localization system science augmented reality crowdsourcing model transformation language world wide web computer graphics computer-aided design quality-of-service 3d pose estimation automated software engineering motion detection object recognition industrial robotics 3d modeling automatic programming code generation internet security high-precision mobile background javascript tasks physiological measurements physical prototyping irrigation 3d vision 3d computer vision sensor arrays human pose estimation image compression data compression 3d scanning augmented reality game 3d user interaction model building threat detection dark web analytics threat (computer) human-machine interaction man-machine interface qos-oriented modeling framework automated plant recognition mobile augmented reality caching scheme bed posture recognition engineering changes industrial robotics software complexity analysis cloud resource allocation model-based system cyber-physical modeling scalable 3d data-driven software development design automation software maintenance software engineering education design

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Machine Learning Model to Predict the Success of Broadway Shows Using Neural Networks and Natural Language Processing. (2024)

predictive analyticsmachine learning modelsbroadway showstheatrelanguage modelsnatural language processinglanguagemachine learningnatural language generation

A Smart Train Seat Recommendation Mobile Platform Based on Personal Interests and Social Preferences Using Data Science and Artificial Intelligence. (2024)

smart citiespredictive analyticspreference modelingrecommender systemsartificial intelligenceintelligent computingpersonal interestsgroup recommenderspreference learningdata sciencecomputer science

Enhancing Search and Recommendation Systems With AI-Powered Semantic Indexing and Multi-Modal Integration: An Evaluation Using Openai’s Embedding Api and Pineconedb. (2024)

web searchrecommender systemsknowledge discoverydata sciencecollaborative filteringsemantic searchartificial intelligencerecommendation systemsnatural language processingsemantic webintelligent searchingcold-start problemintelligent information retrievalsemantic evaluationembedding apiinformation retrievalai-powered semantic indexingcomputer scienceknowledge representation and reasoning

Lyrically Yours: A Mobile Application for Automated Music Therapy Through Lyric Analysis Utilizing Natural Language Processing and Machine Learning. (2024)

musicmusic sciencemachine learningmusic generationmusic information retrievalcomputer musicdata sciencealgorithmic compositionmusic therapymobile applicationautomated music therapy

Socially Responsible Computing: Promoting Latinx Student Retention via Community Engagement in Early Computer Science Courses. ASEE Annual Conference & Exposition (2024)

social computinghigher educationsocial scienceseducationcomputer-supported collaborative learningcomputing educationstem educationsocial learning environmentscomputational literacy

A Cryptocurrency Analysis Tool Based on Social Metrics. (2023)

Bill XuYu Sun

cryptocurrency analysis toolblockchainanalyticssocial sciencescryptocurrencysocial metrics

A Fully Automated Music Equalizer Based on Music Genre Detection Using Deep Learning and Neural Network. (2023)

musicmusic theorymusic scienceneural networkmusic genre detectionmusic processingoptical music recognitionmusic generationmusic technology (electronic and digital)musicologymusic information retrievaldeep learningacoustic musicmusic classificationcomputational musicologycomputer music

Airbnb Research: An Analysis in Nexus Betweenvisual Description and Product Rating. (2023)

destination marketingcommunicationmarketingnexus betweenvisual descriptionproduct ratingpositioning (marketing)consumer behaviourinteractive marketingservices marketinghospitality marketingbrand awarenessmarketing communicationsmarketing researchairbnb research

A Machine Learning Model That Analyzes Surrounding Road Signs to Eliminate Dangers Caused by Human Operational Error. (2023)

Annie WuYu Sun

human operational errormachine learningroad signs

An Advantageous and User-Friendly Mobile Program to Benefit Students in Seeking Their Suitable Colleges Through the Use of Web Scraping, Machine Learning, and Frontend Design. (2023)

technologycomputer-based educationuser-friendly mobile programweb searchhigher educationlearning analyticseducationonline course developmentweb scrapingeducational applicationcomputing educationeducational technologymachine learningvirtual campusmobile learning

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Yu Sun

Adjunct Associate Professor of Computer Science

Vanderbilt University

Affiliations

College of Connected Computing

Computer Science

Graduate School

Computer Science

Yu Sun is currently serving as a College Of Connected Computing Adjunct Associate Professor of Computer Science at Vanderbilt 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

Yu Sun

Vanderbilt University

Adjunct Associate Professor of Computer Science

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Machine Learning Model to Predict the Success of Broadway Shows Using Neural Networks and Natural Language Processing. (2024)

predictive analyticsmachine learning modelsbroadway showstheatrelanguage modelsnatural language processinglanguagemachine learningnatural language generation

A Smart Train Seat Recommendation Mobile Platform Based on Personal Interests and Social Preferences Using Data Science and Artificial Intelligence. (2024)

smart citiespredictive analyticspreference modelingrecommender systemsartificial intelligenceintelligent computingpersonal interestsgroup recommenderspreference learningdata sciencecomputer science

Enhancing Search and Recommendation Systems With AI-Powered Semantic Indexing and Multi-Modal Integration: An Evaluation Using Openai’s Embedding Api and Pineconedb. (2024)

Lyrically Yours: A Mobile Application for Automated Music Therapy Through Lyric Analysis Utilizing Natural Language Processing and Machine Learning. (2024)

musicmusic sciencemachine learningmusic generationmusic information retrievalcomputer musicdata sciencealgorithmic compositionmusic therapymobile applicationautomated music therapy

Socially Responsible Computing: Promoting Latinx Student Retention via Community Engagement in Early Computer Science Courses. ASEE Annual Conference & Exposition (2024)

social computinghigher educationsocial scienceseducationcomputer-supported collaborative learningcomputing educationstem educationsocial learning environmentscomputational literacy

A Cryptocurrency Analysis Tool Based on Social Metrics. (2023)

Bill XuYu Sun

cryptocurrency analysis toolblockchainanalyticssocial sciencescryptocurrencysocial metrics

A Fully Automated Music Equalizer Based on Music Genre Detection Using Deep Learning and Neural Network. (2023)

Airbnb Research: An Analysis in Nexus Betweenvisual Description and Product Rating. (2023)

A Machine Learning Model That Analyzes Surrounding Road Signs to Eliminate Dangers Caused by Human Operational Error. (2023)

Annie WuYu Sun

human operational errormachine learningroad signs

An Advantageous and User-Friendly Mobile Program to Benefit Students in Seeking Their Suitable Colleges Through the Use of Web Scraping, Machine Learning, and Frontend Design. (2023)

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