Coordination analysis: a method for deriving use cases from process dependencies. - Xiang Michelle Liu; George M. Wyner (DESRIST, 2009)

Responding to the global crisis: developing an undergraduate program in health information management. - Alyson Eisenhardt; Michelle (Xiang) Liu; Diane R. Murphy (J. Comput. Sci. Coll., 2011)

Inspiring and Cultivating Female Innovators through Mobile App Development. - Xiang Michelle Liu; Diane R. Murphy (AMCIS, 2014)

Engaging females in cybersecurity: K through Gray. - Xiang Michelle Liu; Diane R. Murphy (ISI, 2016)

An exploratory deep learning approach to mobile malware detection. - Jocelyn Diaz-Gonzales; Alex V. Mbaziira; Xiang Michelle Liu (J. Comput. Sci. Coll., 2019)

Revisiting an educator's dilemma: using natural language processing to analyze the needs of employers and inform curriculum development. - Nathan Green; Xiang Michelle Liu; Diane R. Murphy (J. Comput. Sci. Coll., 2019)

Scoring matrix combined with machine learning for heterogeneously structured entity resolution. - Xinming Li; John R. Talburt; Ting Li; Xiang Michelle Liu (J. Comput. Sci. Coll., 2019)

Deep learning in detection of mobile malware. - Alex V. Mbaziira; Jocelyn Diaz-Gonzales; Xiang Michelle Liu (J. Comput. Sci. Coll., 2020)

Integrating Andragogy Theory into a Multidisciplinary Curriculum to Achieve a Connected Program for a Doctorate in Cybersecurity. - Andrew Hall; Xiang Michelle Liu; Diane R. Murphy (FIE, 2021)

Analyzing the optimal level of investment in cybersecurity for nonprofit organizations(NPO) by combining Gordon-Loeb and FAIR models: faculty poster abstract. - Natalia Ermicioi; Michelle (Xiang) Liu (J. Comput. Sci. Coll., 2021)

Alternative Approaches to Data Architecture and Data Governance: Graduate IT/IS Curriculum Considerations. - Diane R. Murphy; Xiang Michelle Liu; Laura Vera (AMCIS, 2022)

Applying a Trustworthy AI Framework to Mitigate Bias and Increase Workforce Gender Diversity. - Xiang Michelle Liu; Diane R. Murphy (ISTAS, 2022)

Advancing Cybersecurity Through Knowledge Conversion: Industry-Academia Interchange in a Doctoral Program. - Andrew Hall; Xiang Michelle Liu; Diane R. Murphy (FIE, 2023)

The Hunt for Cybersecurity Data: Exploring the Availability of Open Datasets for Cybersecurity Scientific Research. - Xiang Michelle Liu; Diane R. Murphy; Nathan Green (J. Comput. Sci. Coll., 2023)

Enhancing Level and World Design in Game Development through Data Analytics. - Gabriel Loring; Michelle (Xiang) Liu (J. Comput. Sci. Coll., 2023)

Navigating the Ethical Landscape of AI in Healthcare: Insights From a Content Analysis. - Yin Wu; Xiang Michelle Liu (IEEE Technol. Soc. Mag., 2023)

Forging New Paths in Cybersecurity Doctoral Research with Open Datasets and Synthetic Data Generation. - Xiang Michelle Liu; Nathan Green; Diane R. Murphy; Donna Schaeffer (FIE, 2024)