Associate Professor

LI Xue

Basic Information

 

 

NameLI Xue

 

GenderFemale

 

DisciplineManagement Science

 

Professional TitleAssociate Professor

 

Post710119

 

Phone

 

CampusChangan Campus

 

E-mail

 

 

Personal Introduction

Currently mainly engaged in teaching and research in the fields of big data management and applications, as well as e-commerce. My main research directions include e-commerce, internet big data analysis, data mining, and intelligent computing. I have led and participated in the completion of numerous horizontal and vertical research projects. Among them, I have led one national natural science project, one project from the Ministry of Education's humanities and social sciences, and several other provincial and ministerial-level projects. I have also participated in several national-level projects, including one sub-project of the 'Eleventh Five-Year Plan', and over ten other horizontal and vertical projects.

 

Work Experience

2015.12-present: Associate Professor, Department of Management Science and Engineering, International Business School, Shaanxi Normal University
2011.09-2015.12: Lecturer, Department of Management Science and Engineering, International Business School, Shaanxi Normal University
2004.09-2011.08: Lecturer, Department of E-commerce, International Business School, Shaanxi Normal University
2000.07-2001.09: Software Development Engineer, Taiwan Ling'an Computer Company
1998.07-2000.07: Technician, Assistant Engineer, Jingtu Computer Typesetting Company of Shaanxi Province

 

Education Background

2004.09-2012.09: Xi'an University of Technology (School not specified) Power Electronics and Power Drives Doctor of Philosophy
2001.09-2004.11: Xi'an University of Technology (School not specified) Computer Technology and Applications Master of Engineering
1994.09-1998.07: Xi'an University of Technology (School not specified) Computer Application and Technology Bachelor of Engineering

 

Awards Received


 

Intellectual Contribution

Journal Articles
1.A Survey of Sampling Method for Social Media Embeddedness Relationship, ACM Computing Surveys,2023-05-01,55(4)
2.The Skill Demand Analysis in the E-Commerce Industry Based on Online Recruitment Data,IC4E '22: Proceedings of the 2022 13th International Conference on E-Education, E-Business, E-Management, and E-Learning,2022-04-19,:377-383
3.Big data processing method using improved SDN-WISE in WSN, Application Research of Computers,2020-10-01,17(10):3121-3126
4.The Influence of Online Personal Consumer Credit Products on Consumers' Impulse Purchasing Intention — A Case Study of Ant Credit Pay, ICEBT 2019,2019-08-02,:59-66

Conference Paper
1.User Demand Awareness and Analysis of Online Music ——Take Net Ease Cloud Music Platform as an Example",2021 5th International Conference on E-Education, E-Business and E-Technology,2021-06-01
2.The Framework of Constructing University Comprehensive Evaluation System Based on Online Comments,2019 18th RoEduNet Conference: Networking in Education and Research (RoEduNet),2019-10-01
3.Cooperation, Network Characteristics, and Innovation Performance: A Study on Shanghai IT services Industry, ICIST 2019:  2019 2nd International Conference on Intelligent Science and Technology,2019-07-10

Project
1.Industry–University–Research Collaborative Study on Intelligent Container Application Building and Deployment,2025-03-20,2026-06-30
2.Research on Industry-University-Research Collaboration for Unified R&D Platform Data Governance,2024-06-14
3.Research on Industry-University-Research Collaboration for PaaS Product Monitoring, Operations, and Data Governance,2024-06-14
4.Data-Driven Evaluation of Xi’an’s Urban Talent Attractiveness and Improvement Strategies, 2024-04-26
5.Perception of Business Model Innovation Elements in Xi’an’s Pop Music Industry under the Digital Economy Context,2021-05-08
6.Innovation Pathways of Business Models in Shaanxi’s Popular Music Industry under the Background of Big Data,2020-01-01

Monograph
1.Sampling Methods for Social Media Big Data, Shaanxi Normal University General Publishing House,2021-05-01

 

Courses Taught

E-commerce Innovation in the Internet Era--MBA Teaching
Big Data and Intelligent Finance--MPAcc Teaching
Python Advanced--Undergraduate Teaching
Business Data Analysis and Visualization--Undergraduate Teaching
Disciplinary Introduction--Undergraduate Teaching
Business Data Analysis and Visualization--Undergraduate Teaching
Digital Economy and E-Commerce--Undergraduate Teaching
Introduction to E-Commerce--Undergraduate Teaching
Principles and Applications of Big Data--Master Teaching
E-Commerce--Master Teaching
Data Mining and Applications--Master Teaching