2022 National Science Foundation Student Travel Award
NSF Travel Award
Posts by Collection
portfolio
2022 College of Engineering Outstanding Rising Graduate Scholar
Outstanding Rising Graduate Scholar
2024 IEEE Region 3 Student Professional Activities Service Award
IEEE Region 3 Student Professional Activities Service Award
2024 Outstanding Senior Graduate Research Assistant
Outstanding Senior Graduate Research Assistant
publications
[1] Activity detection and analysis using smartphone sensors
Published in 2018 IEEE International Conference on Information Reuse and Integration (IRI)
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.
[2] A Comparative Study of Vector Space Language Models for Sentiment Analysis Using Reddit Data
Published in ProQuest
Recommended citation: Liu, Y. (2020). A comparative study of vector space language models for sentiment analysis using reddit data (Doctoral dissertation, North Carolina Agricultural and Technical State University).
[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)
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).
[4] Monitoring COVID-19 pandemic through the lens of social media using natural language processing and machine learning
Published in Health Information Science and Systems
Recommended citation: Liu, Y., Whitfield, C., Zhang, T., Hauser, A., Reynolds, T., & Anwar, M. (2021). Monitoring COVID-19 pandemic through the lens of social media using natural language processing and machine learning. Health Information Science and Systems, 9(1), 25.
[5] A Study on Online Businesses’ Commitment to Consumer Privacy
Published in HCI for Cybersecurity, Privacy and Trust
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.
[6] Learning Programming in Social Media: An NLP-powered Reddit Study
Published in 2022 Fourth International Conference on Transdisciplinary AI (TransAI)
Recommended citation: Liu, Y., & Anwar, M. (2022, September). Learning Programming in Social Media: An NLP-powered Reddit Study. In 2022 Fourth International Conference on Transdisciplinary AI (TransAI) (pp. 55-58). IEEE.
[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)
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.
[8] Investigating Fairness in Machine Learning-based Audio Sentiment Analysis using Spectrograms and Bag-of-visual-words
Published in Under Review
Recommended citation: Luitel, S., Liu, Y., & Anwar, M. (2023). Investigating Fairness in Machine Learning-based Audio Sentiment Analysis using Spectrograms and Bag-of-visual-words.
[9] Anomaly-based Intrusion on IoT networks using AIGAN - a Generative Adversarial Network
Published in IEEE Access
Recommended citation: Liu, Z., Hu, J., Liu, Y., Roy, K., Yuan, X., & Xu, J. (2023). Anomaly-based Intrusion on IoT networks using AIGAN - a Generative Adversarial Network.
[10] Translating Keystroke and Mouse Dynamics Data to Classify Human Mood
Published in IEEE Transdisciplinary Artificial Intelligence Conference
Recommended citation: Aldrich, B., Liu, Y., Almousa, M., & Anwar, M. (2023). Translating Keystroke and Mouse Dynamics Data to Classify Human Mood.
[11] Investigating Fairness in Machine Learning-based Audio Sentiment Analysis
Published in AI and Ethics
Recommended citation: Luitel, S., Liu, Y. & Anwar, M. Investigating fairness in machine learning-based audio sentiment analysis. AI Ethics (2024). https://doi.org/10.1007/s43681-024-00453-2
[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
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
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
[14] Analyzing Twitter Data for Insights into Public Sentiment during COVID-19 Pandemic
Published in The 23th International Conference on Intelligent Software Methodologies, Tools, and Techniques
Recommended citation: Liu, Y. & Anwar, M. Analyzing Twitter Data for Insights into Public Sentiment during COVID-19 Pandemic
[15] A Repository of Metadata-related Threats and Mitigation Strategies to Enhance Security in Smart Homes
Published in In 2024 Conference on AI, Science, Engineering, and Technology (AIxSET)
Recommended citation: Davis, B. D., Liu, Y., & Anwar, M. (2024, September). Repository of Metadata-Related Threats and Mitigation Strategies to Enhance Security in Smart Homes. In 2024 Conference on AI, Science, Engineering, and Technology (AIxSET) (pp. 189-193). IEEE.
[16] Audio Sentiment Analysis with Spectrogram Representations and Transformer Models
Published in In 2024 Conference on AI, Science, Engineering, and Technology (AIxSET)
Recommended citation: Luitel, S., Liu, Y., & Anwar, M. (2024, September). Audio Sentiment Analysis with Spectrogram Representations and Transformer Models. In 2024 Conference on AI, Science, Engineering, and Technology (AIxSET) (pp. 149-153). IEEE.
[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
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
Monkeypox At-a-glance from Google Trends and Reddit
Published:
Yang Liu received the National Science Foundation Student Travel Award.
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!
IEEE Region 3 Student Professional Activities Service Award
Published:
Yang Liu has been selected as the winner of the IEEE Region 3 Student Professional Activities Service Award!
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.