Dr. Xing Fang
Associate Professor of Computer Science
Office
OU Old Union 108
Office Phone
Email
- About
- Education
- Awards & Honors
- Selected Research
Current Courses
IT 441.001 Big Data
IT 400.005 Independent Study
IT 179.003 Introduction To Data Structures
IT 166.001 Python Programming For Science and Data Analysis
Teaching Interests & Areas
Python, C/C++, Java
Research Interests & Areas
deep learning, natural language processing, machine learning
Ph D Computer Science
North Carolina A&T State University
Greensboro NC USA
MS Computer Science
North Carolina A&T State University
Greensboro NC USA
MS Information Assurance
Dakota State University
Madison, SD, USA
BS Electrical Engineering
Northwestern Polytechnical University
Xi'an, Shaanxi, China
Impact Award
University College
2020
Impact Award
University College
2017
Grants and Contracts
New Faculty Start-up Program
Xing Fang.
September 1 2016 - December 31 2018
Journal Article
Routing failure prediction and repairing for AUV-assisted underwater acoustic sensor networks in uncertain ocean environments
Yougan Chen, Jianying Zhu, Lei Wan, Xing Fang, Feng Tong, Xiaomei Xu.
Applied Acoustics/ Elsevier, 186, (2022)
Advanced machine learning application for odor and corrosion control at a water resource recovery facility
Fenghua Yang, Thaís Pluth, Xing Xing, Kyle Francq, Matthew Jurjovec, Yongning Tang.
Water Environment Research, Wiley Journal, (2021), https://doi.org/10.1002/wer.1618
Exactly Predictable Functions for Simple Neural Networks
Jack Yost, Luis Rizo, Xing Fang, Qichang Su, Rainer Grobe.
SN Computer Science, (2021), https://doi.org/10.1007/s42979-021-00949-2
Making recommendations using transfer learning
Xing Fang.
Neural computing and applications, (2021), https://doi.org/10.1007/s00521-021-05730-3
Modeling Multivariate Cyber Risks: Deep Learning Dating Extreme Value Theory
Mingyue Zhang Wu, Jinzhu Luo, Xing Fang, Maochao Xu, Peng Zhao.
Journal of Applied Statistics, (2021), https://doi.org/10.1080/02664763.2021.1936468
PB-ACR: Node Payload Balanced Ant Colony Optimal Cooperative Routing for Multi-Hop Underwater Acoustic Sensor Networks
Yougan Chen, Yuying Tang, Xing Fang, Lei Wan, Yi Tao, Xiaomei Xu.
IEEE Access, (2021), 10.1109/ACCESS.2021.3072283
QMCR: A Q-Learning-Based Multi-Hop Cooperative Routing Protocol for Underwater Acoustic Sensor Networks
Yougan Chen, Kaitong Zheng, Xing Fang, Lei Wan, Xiaomei Xu.
IEEE China Communications, (2021), 10.23919/JCC.2021.08.016
Statistical modeling of computer malware propagation dynamics in cyberspace
Zijian Fang, Peng Zhao, Maochao Xu, Shouhuai Xu, TaiZhong Hu, Xing Fang.
(2020), 10.1080/02664763.2020.1845621
Toward multi-label sentiment analysis: a transfer learning based approach
Jie Tao, Xing Fang.
(2020), https://doi.org/10.1186/s40537-019-0278-0
A deep learning framework for predicting cyber attacks rates
Xing Fang, Maochao Xu, Shouhuai Xu, Peng Zhao.
EURASIP Journal on Information Security/Springer, 2019 (1), 5, (2019), https://doi.org/10.1186/s13635-019-0090-6
Performance enhancing techniques for deep learning models in time series forecasting
Xing Fang, Zhuoning Yuan.
Engineering Applications of Artificial Intelligence/Elsevier, 85, 9, (2019), https://doi.org/10.1016/J.ENGAPPAI.2019.07.011
Understanding deep learning via backtracking and deconvolution
Xing Fang.
Springer Journal of Big Data, 4 (40), 14, (2017)
Generative AI for Intelligence Augmentation: Categorization and Evaluation Frameworks for Large Language Model Adaptation.
Jie Tao, Lina Zhou, Xing Fang.
AIS Transactions on Human-Computer Interaction, 16 (3), 364-387
Presentations
Deep learning and AI
Xing Fang.
Physics Informal Seminar Series, Normal, IL, November 15, 2019
Develop Advanced Models to Predict and Optimize Chemical Dosage for Odor and Corrosion Control
Fenghua Yang, Yongning Tang, Matt Jurjovec, Xing Fang.
the WEFTEC 2019 Intelligent Water Systems Challenge, Chicago, IL, September 23, 2019
Introduction to Deep Learning
Xing Fang.
MAT 443, Stevenson Hall, November 09, 2016