Faulty Requirements Made Valuable: On the Role of Data Quality in Deep Learning. - Harshitha Challa; Nan Niu; Reese Johnson (AIRE@RE, 2020)

Deep learning for smart sewer systems: assessing nonfunctional requirements. - Hemanth Gudaparthi; Reese Johnson; Harshitha Challa; Nan Niu (ICSE-SEIS, 2020)

XAI tools in the public sector: a case study on predicting combined sewer overflows. - Nicholas Maltbie; Nan Niu; Matthew Van Doren; Reese Johnson (ESEC/SIGSOFT FSE, 2021)

On the Role of Data Engineering Decisions in AI-Based Applications. - Aurek Chattopadhyay; Matthew Van Doren; Reese Johnson; Nan Niu (REFSQ Workshops, 2022)

Deep learning's fitness for purpose: A transformation problem frame's perspective. - Hemanth Gudaparthi; Nan Niu; Yilong Yang 001; Matthew Van Doren; Reese Johnson (CAAI Trans. Intell. Technol., 2023)