Assistant Professor
School of Information Technology
Illinois State University
Email: xfang13@ilstu.edu
Phone: 309-438-8133
Office: Old Union 108
Education:
Ph.D. in Computer Science, North Carolina A&T State University, Greensboro, NC, 2016
M.S. in Computer Science, North Carolina A&T State University, Greensboro, NC, 2012
M.S. in Information Assurance, Dakota State University, Madison, SD, 2010
B.S. in Electrical Engineering, Northwestern Polytechnical University, Xi'an, China, 2007
Reasearch Interest
Machine Learning, Deep Learning, Natural Language Processing, Data Science.
Courses
IT 166 Python Programming for Science and Data Analysis (Fall: 2018, 2019)
IT 168 Structured Problem Solving using the Computers (Spring: 2020; Fall: 2016, 2017, 2018, 2019, 2020)
IT 170 Scripting Languages and Automation (Spring: 2017, 2018; Fall: 2017)
IT 179 Introduction to Data Structures (Spring: 2019)
IT 340 Introduction to Artificial Intelligence (Spring: 2017, 2018, 2019, 2020)
IT 356 Introduction to Computer Graphics (Spring: 2018)
Selected Journal Articles
Jie Tao and Xing Fang, Toward multi-label sentiment analysis: a transfer learning based approach,
Springer Journal of Big Data, 7(1), 1-26, 2020.
Xing Fang and Zhuoning Yuan, Performance enhancing techniques for deep learning models in time series
forecasting, Engineering Applications of Artificial Intelligence, 85, 533-542, October 2019.
Xing Fang, Maochao Xu, Shouhuai Xu, and Peng Zhao, A deep learning framework for predicting cyber attacks
rates, EURASIP Journal on Information Security, 2019 (1), 5.
Xing Fang, Understanding deep learning via backtracking and deconvolution,
Springer Journal of Big Data, 4(40), 2017.
Xing Fang and Justin Zhan, Sentiment analysis using product review data,
Springer Journal of Big Data, 2(5), 2015. (Data used in this work can be acquired from
here )
Selected Conference Papers
Xing Fang and Jie Tao, A transfer learning based approach for aspect based sentiment analysis, in proceedings of
the sixth Internatinal Conference on Social Networks Analysis, Managment and Security (SNAMS-2019), Granada, Spain,
October 22-25, 2019.
Roanoke Nadeem, Marshall Ochaun, Singh Sarbjit, Fang Xing, and Yuan Xiaohong, Semi-supervised deep neural network
for network intrusion detection, 2016 KSU Conference on Cybersecurity Education, Research and Practice.
For the full list of my publications,
please go to my Google Scholar Page.
Awards
The Impact Award, Illinois State University, 2020
The Impact Award, Illinois State University, 2017
Top Ten Graduate (Ph.D.) of College of Engineering, North Carolina A&T State University, 2016.
Outstanding Graduate Researcher (Ph.D.) of Department of Computer Science, North Carolina A&T State University, 2015.
Top Ten Graduate (Master) of College of Engineering, North Carolina A&T State University, 2012.
