ProfessorsProfessors of Rochester Institute of TechnologyXumin Liu

Xumin Liu

Rochester Institute of Technology

H-index: 20

North America-United States

About Xumin Liu

Xumin Liu, With an exceptional h-index of 20 and a recent h-index of 13 (since 2020), a distinguished researcher at Rochester Institute of Technology, specializes in the field of Service computing, Data Science, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Introducing Data Science Topics to Non-Computing Majors

DSLP: A Web-based Data Science Learning Platform to Support DS Education for Non-Computing Majors

A Structure Alignment Deep Graph Model for Mashup Recommendation

Service-Oriented Computing–ICSOC 2020 Workshops: AIOps, CFTIC, STRAPS, AI-PA, AI-IOTS, and Satellite Events, Dubai, United Arab Emirates, December 14–17, 2020, Proceedings

Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval

A Bayesian learning model for design-phase service mashup popularity prediction

Xumin Liu Information

University	Rochester Institute of Technology
Position	Associate Professor
Citations(all)	2064
Citations(since 2020)	1008
Cited By	1415
hIndex(all)	20
hIndex(since 2020)	13
i10Index(all)	32
i10Index(since 2020)	15
Email	Access Email
University Profile Page	Rochester Institute of Technology
Google Scholar	View Google Scholar Profile

Xumin Liu Skills & Research Interests

Service computing

Data Science

Machine Learning

Top articles of Xumin Liu

Title	Journal	Author(s)	Publication Date
Introducing Data Science Topics to Non-Computing Majors		Xumin Liu Erik Golen Rajendra K Raj	2022/3/3
DSLP: A Web-based Data Science Learning Platform to Support DS Education for Non-Computing Majors		Xumin Liu Erik Golen Rajendra K Raj	2022/3/3
A Structure Alignment Deep Graph Model for Mashup Recommendation		Eduardo Lima Xumin Liu	2021
Service-Oriented Computing–ICSOC 2020 Workshops: AIOps, CFTIC, STRAPS, AI-PA, AI-IOTS, and Satellite Events, Dubai, United Arab Emirates, December 14–17, 2020, Proceedings		Hakim Hacid Fatma Outay Hye-young Paik Amira Alloum Marinella Petrocchi ...	2021/5/29
Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval		Dingrong Wang Hitesh Sapkota Xumin Liu Qi Yu	2021/12/7
A Bayesian learning model for design-phase service mashup popularity prediction	Expert Systems with Applications	Moayad Alshangiti Weishi Shi Xumin Liu Qi Yu	2020/7/1