Faculty

Institution

Unit

Venue

Yanjie Fu

Associate Professor

Arizona State University

Affiliations

Ira A. Fulton Schools of Engineering

School of Computing and Augmented Intelligence

Yanjie Fu is currently serving as an Ira A. Fulton Schools Of Engineering Associate Professor at Arizona State University.

Honors

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Experiences

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Education

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Yanjie Fu

Arizona State University

Associate Professor

You can click a keyword to filter the displayed items

machine learning computer science data science deep learning systems engineering data mining informatics artificial intelligence knowledge discovery computer vision applied mathematics graph theory computational intelligence information science recommender systems knowledge management knowledge engineering feature selection information technology data engineering knowledge technology supervised learning machine learning research vehicular technology mobility transportation planning traffic management feature transformation intelligent computing human mobility mobility management mobility analysis automated machine learning information discovery graph processing traffic prediction mobility modeling mobile computing automated reasoning human-computer interaction unsupervised machine learning knowledge modeling adversarial machine learning anomaly detection spatio-temporal models public transport social recommendation geographic dependencies mobile user profiling city configuration automated urban planning communication security urban geography intelligent vehicles data security information diffusion preference learning knowledge data engineering transportation system management knowledge integration intelligent automation geometric learning human-ai interaction autonomous driving driver behavior attribute inference joint item recommendation human mobility patterns real estate ranking root cause localization adversarial learning national-wide public transportation geographical preferences point-of-interest recommendation traffic speed forecasting multiple transportation demands applied artificial intelligence industrial artificial intelligence reinforcement learning time series

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Comprehensive Survey on Data Augmentation. arXiv (Cornell University) (2024)

Wang, ZaitianWang, PengfeiLiu, KunpengWang, PengyangFu, YanjieLu, Chang-TienAggarwal, Charu C.Pei, JianZhou, Yuanchun

data augmentationinformation sciencedata science

A Comprehensive Survey on Traffic Missing Data Imputation. IEEE Transactions on Intelligent Transportation Systems (2024)

Yimei ZhangXiangjie KongWenfeng ZhouJin LiuYanjie FuGuojiang Shen

intelligent transportation systemstraffic theorytraffic flowdata miningtraffic simulationstatisticsmissing datatraffic managementdata sciencetraffic psychologydata imputationcomputer sciencetraffic prediction

Addressing Distribution Shift in Time Series Forecasting With Instance Normalization Flows. arXiv (Cornell University) (2024)

Fan, WeiZheng, ShunWang, PengyangXie, RuiBian, JiangFu, Yanjie

time seriesdistribution shiftdata scienceinstance normalization flows

DCAI: The 4Th International Workshop on Data-Centric AI. (2024)

Yanjie FuKunpeng LiuDongjie Wang

international workshopdata-centric aiartificial intelligencedata science

DEWP: Deep Expansion Learning for Wind Power Forecasting. arXiv (Cornell University) (2024)

Fan, WeiFu, YanjieZheng, ShunBian, JiangZhou, YuanchunXiong, Hui

machine learningdeep learningwind power forecastingapplied mathematicsenergy forecastingforecasting

Dual-Stage Flows-Based Generative Modeling for Traceable Urban Planning. Society for Industrial and Applied Mathematics eBooks (2024)

Xuanming HuWei FanDongjie WangPengyang WangYong LiYanjie Fu

systems engineeringurban planningtraceable urban planningmodeling and simulationapplied mathematicsengineering

Evolutionary Large Language Model for Automated Feature Transformation. arXiv (Cornell University) (2024)

Gong, NanxuReddy, Chandan K.Ying, WangyangFu, Yanjie

automated machine learningfeature transformationautomated feature transformationnatural language processingmachine learninglinguisticsevolutionary biologycomputer science

Exploring Bus Stop Mobility Pattern: A Multi-Pattern Deep Learning Prediction Framework. IEEE Transactions on Intelligent Transportation Systems (2024)

Xiangjie KongZhehui ShenKailai WangGuojiang ShenYanjie Fu

traffic predictionsystems engineeringmachine learningtransportation planningcomputer visiontransportation engineeringmobilitydeep learningvehicular technologypattern recognitionelectrical engineeringtraffic managementtransportation system managementcomputer sciencemobility management

Feature Interaction Aware Automated Data Representation Transformation. Society for Industrial and Applied Mathematics eBooks (2024)

Ehtesamul AzimDongjie WangKunpeng LiuWei ZhangYanjie Fu

industrial informaticsdata representation transformationdata representationfeature interactiondata miningapplied mathematicsmachine learningcomputer science

Feature Selection as Deep Sequential Generative Learning. ACM Transactions on Knowledge Discovery from Data (2024)

Wangyang YingDongjie WangHaifeng ChenYanjie Fu

feature selectionmachine learningcomputer visiondeep learningnatural language processingmachine visionpattern recognitioncomputer science

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Yanjie Fu

Associate Professor

Arizona State University

Affiliations

Ira A. Fulton Schools of Engineering

School of Computing and Augmented Intelligence

Yanjie Fu is currently serving as an Ira A. Fulton Schools Of Engineering Associate Professor at Arizona 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

Yanjie Fu

Arizona State University

Associate Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Comprehensive Survey on Data Augmentation. arXiv (Cornell University) (2024)

Wang, ZaitianWang, PengfeiLiu, KunpengWang, PengyangFu, YanjieLu, Chang-TienAggarwal, Charu C.Pei, JianZhou, Yuanchun

data augmentationinformation sciencedata science

A Comprehensive Survey on Traffic Missing Data Imputation. IEEE Transactions on Intelligent Transportation Systems (2024)

Yimei ZhangXiangjie KongWenfeng ZhouJin LiuYanjie FuGuojiang Shen

Addressing Distribution Shift in Time Series Forecasting With Instance Normalization Flows. arXiv (Cornell University) (2024)

Fan, WeiZheng, ShunWang, PengyangXie, RuiBian, JiangFu, Yanjie

time seriesdistribution shiftdata scienceinstance normalization flows

DCAI: The 4Th International Workshop on Data-Centric AI. (2024)

Yanjie FuKunpeng LiuDongjie Wang

international workshopdata-centric aiartificial intelligencedata science

DEWP: Deep Expansion Learning for Wind Power Forecasting. arXiv (Cornell University) (2024)

Fan, WeiFu, YanjieZheng, ShunBian, JiangZhou, YuanchunXiong, Hui

machine learningdeep learningwind power forecastingapplied mathematicsenergy forecastingforecasting

Dual-Stage Flows-Based Generative Modeling for Traceable Urban Planning. Society for Industrial and Applied Mathematics eBooks (2024)

Xuanming HuWei FanDongjie WangPengyang WangYong LiYanjie Fu

systems engineeringurban planningtraceable urban planningmodeling and simulationapplied mathematicsengineering

Evolutionary Large Language Model for Automated Feature Transformation. arXiv (Cornell University) (2024)

Gong, NanxuReddy, Chandan K.Ying, WangyangFu, Yanjie

automated machine learningfeature transformationautomated feature transformationnatural language processingmachine learninglinguisticsevolutionary biologycomputer science

Exploring Bus Stop Mobility Pattern: A Multi-Pattern Deep Learning Prediction Framework. IEEE Transactions on Intelligent Transportation Systems (2024)

Xiangjie KongZhehui ShenKailai WangGuojiang ShenYanjie Fu

Feature Interaction Aware Automated Data Representation Transformation. Society for Industrial and Applied Mathematics eBooks (2024)

Ehtesamul AzimDongjie WangKunpeng LiuWei ZhangYanjie Fu

industrial informaticsdata representation transformationdata representationfeature interactiondata miningapplied mathematicsmachine learningcomputer science

Feature Selection as Deep Sequential Generative Learning. ACM Transactions on Knowledge Discovery from Data (2024)

Wangyang YingDongjie WangHaifeng ChenYanjie Fu

feature selectionmachine learningcomputer visiondeep learningnatural language processingmachine visionpattern recognitioncomputer science

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5
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10 / page

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optimization-based data mining

Huan Liu

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