Yang Liu, Ph.D.

Yang Liu, Ph.D.

Assistant Professor, Duke Power Endowed Professor

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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

[1] Activity detection and analysis using smartphone sensors

Published in 2018 IEEE International Conference on Information Reuse and Integration (IRI)

Download paper here

Recommended citation: Vaughn, A., Biocco, P., Liu, Y., & Anwar, M. (2018, July). Activity detection and analysis using smartphone sensors. In 2018 IEEE International Conference on Information Reuse and Integration (IRI) (pp. 102-107). IEEE.

[3] Surveillance of COVID-19 Pandemic using Social Media: A Reddit Study in North Carolina

Published in 12th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics (ACM-BCB'21)

Download paper here

Recommended citation: Whitfield, C., Liu, Y., & Anwar, M. (2021, August). Surveillance of COVID-19 pandemic using social media: a reddit study in North Carolina. In Proceedings of the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (pp. 1-8).

[5] A Study on Online Businesses’ Commitment to Consumer Privacy

Published in HCI for Cybersecurity, Privacy and Trust

Download paper here

Recommended citation: Almousa, M., Liu, Y., Zhang, T., & Anwar, M. (2021, July). A Study on Online Businesses’ Commitment to Consumer Privacy. In HCI for Cybersecurity, Privacy and Trust: Third International Conference, HCI-CPT 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Virtual Event, July 24–29, 2021, Proceedings (pp. 391-402). Cham: Springer International Publishing.

[7] Monkeypox At-a-glance from Google Trends and Reddit

Published in 2022 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)

Download paper here

Recommended citation: Liu, Y., Yue, Z., & Anwar, M. (2022, November). Monkeypox At-a-glance from Google Trends and Reddit. In 2022 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) (pp. 166-167). IEEE.

[12] Impact of COVID-19 Pandemic on Social Determinants of Health Issues of Marginalized Black and Asian Communities: A Social Media Analysis Empowered by Natural Language Processing

Published in Journal of Racial and Ethnic Health Disparities

Download paper here

Recommended citation: Whitfield, C., Liu, Y. & Anwar, M. Impact of COVID-19 Pandemic on Social Determinants of Health Issues of Marginalized Black and Asian Communities: A Social Media Analysis Empowered by Natural Language Processing. J. Racial and Ethnic Health Disparities (2024). https://doi.org/10.1007/s40615-024-01996-0

[13] Pandemic Surveillance Using Social Media Data, Natural Language Processing, and Machine Learning

Published in ProQuest

Download paper here

Recommended citation: Liu, Y. (2024). Pandemic Surveillance Using Social Media Data, Natural Language Processing, and Machine Learning (Order No. 31145664). Available from ProQuest Dissertations & Theses Global. (3067802553). https://proxyhu.wrlc.org/login?url=https://www.proquest.com/dissertations-theses/pandemic-surveillance-using-social-media-data/docview/3067802553/se-2

[17] RAG4ITOps: A Supervised Fine-Tunable and Comprehensive RAG Framework for IT Operations and Maintenance

Published in 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track

Download paper here

Recommended citation: Zhang, T., Jiang, Z., Bai, S., Zhang, T., Lin, L., Liu, Y., & Ren, J. (2024, November). RAG4ITOps: A Supervised Fine-Tunable and Comprehensive RAG Framework for IT Operations and Maintenance. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track (pp. 738-754).

talks

Doctoral Dissertation Defense

Published:

Yang Liu successfully defended his doctoral dissertation, titled “Pandemic Surveillance using Social Media data, Natural Language Processing, and Machine Learning” on March 21, 2024!

Duke Power Endowed Professor

Published:

Yang Liu has been appointed as the Duke Power Endowed Professor at the School of Business, North Carolina Central University.

teaching

COMP163 Introduction to Computer Programming (Teaching Assistant)

Fall 2020, NCAT

This course provides an introduction to computer programming using the Java programming language. COMP 163 is primarily a programming course, but the focus is on the problem solving techniques common in computer science. No prior programming experience is assumed, although students should know the basics of using a computer (e.g., using a web browser and word processing program).

COMP 621 Programming Languages (Teaching Assistant)

Spring 2021, NCAT

This course focuses on the technologies that provide security services for the World Wide Web. It introduces a set of procedures, practices, and technologies for protecting web servers, web users, and their surrounding organizations. We discuss, understand and use various security technologies for the World Wide Web (WWW). How to use these technologies to secure WWW applications will be addressed.

COMP841 Deep Learning (Teaching Assistant)

Spring 2022, NCAT

This course teaches deep learning techniques from the algorithmic perspective. It provides students with hands on applications of deep learning. Students will be introduced to methods (including but not limited to): Basics of Learning, Deep Neural Network, Convolutional Neural Network, Recurrent Neural Network, Long Short-Term Memory, Autoencoder, Graph Convolutional Network, Reinforcement Learning and Generative Adversarial Net, etc. It demonstrates the deep learning techniques in various applications such as bioinformatics, housing price prediction, image processing, and music generation applications, etc.

BIOL490 Introduction of Quantum Computing (Teaching Assistant)

Spring 2023, NCAT

The purpose of the course was to introduce students to the fascinating field of quantum computing and inspire them to pursue a career in quantum technologies. Some of the key objectives for the course were:

  • Introduce to students to complex numbers, linear algebra, and the required quantum mechanics for the quantum computing course.

COMP161 Python for Data Science (Instructor)

Spring 2023, NCAT

This course teaches the Python programming language along with an environment and standards that encourage the efficient production of well-developed code. The course addresses numerical computing, data manipulation and analysis, plotting and visualization, machine learning, and language processing by focusing on the most important python libraries (e,g. Numpy, Matplotlib, ggplot2, statsmodels, scikit-learn, and NLTK) that enable the student to learn data science effectively using Python.

COMP360 Programming Languages (Teaching Assistant)

[Spring 2020, Fall 2022, Fall 2023, Spring 2024], NCAT

This course focuses on formal specification of programming languages, including definition of syntax and semantics: simple statements including precedence, infixes, prefix, and postfix notations. It highlights global properties of algorithmic languages including sequence control, data structure implementation, scooping, storage management, grouping of statements, binding time, sub-routines, and tasks.

CIS 1100 Business Computer Applications (Instructor)

[Fall 2024], NCCU

Course Description: This course develops students’ skills in desktop computing by utilizing various software tools to solve organizational problems. Students will gain proficiency in basic internet usage, word processing, spreadsheets, and presentation graphics applications within a structured and supervised laboratory environment. Students also have opportunities to develop skills in other software applications.

CIS 2400 Fundamentals of Information Systems (Instructor)

[Fall 2024], NCCU

Course Description: This course introduces the student to the strategic use and implications of information technology in the business environment. This course covers such topics as the fundamental information systems components, business processes, data management, and security and systems development as planned organizational change. Case studies illustrate the use of technology to solve problems and create opportunities in an organizational setting.