Ying Shang

This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.

Researcher

UA Fort Smith

Also affiliated: Indiana Institute of Technology (2021–2022); Kunming University of Science and Technology (2024–2025); University of Notre Dame (2004–2005); Beijing Institute of Technology (2024); Ningbo University of Technology (2021); State Grid Corporation of China (China) (2020–2023); Shanghai Ninth People's Hospital (2025); Shanghai Electric (China) (2023–2025); Beijing University of Chemical Technology (2012–2025); Beijing Information Science & Technology University (2011); Beihang University (2021); Southern Illinois University Edwardsville (2007–2017)

Faculty Researcher

9 h-index 93 pubs 386 cited

Research Areas

Biomedical Subjects

Links

ORCID

OverviewAI-generated summary

Ying Shang's research interests encompass the application of artificial intelligence and machine learning in various domains. His work includes developing prediction methods for electricity stealing behavior using multi-dimensional features and neural networks, as well as exploring reinforcement learning for continuous integration testing. Shang has also investigated the use of artificial intelligence in the quantitative analysis of food quality and safety indicators. His publications include research on monitoring technology for power stealing in bitcoin mining and a generative adversarial imitation learning method for continuous integration testing.

His scholarship metrics include an h-index of 9, with a total of 93 publications and 374 citations. Shang has collaborated with Naga Musunuri and Mauricio Torres, both from the University of Arkansas – Fort Smith, on shared publications.