Ying Shang Data-verified

OverviewAI-generated summary

Ying Shang's research focuses on the application of artificial intelligence and machine learning, particularly in areas related to high-throughput screening and system control. Shang has investigated methods for scheduling and controlling high throughput screening systems, addressing uncertainties and disturbances within these processes. Further research has explored the use of artificial intelligence in the quantitative analysis of food quality and safety indicators. Shang's work also extends to the prediction and monitoring of electricity-stealing behavior, utilizing multi-dimensional features and neural network models. Additionally, Shang has published on the use of reinforcement learning for continuous integration testing and generative adversarial imitation learning for similar applications. With 94 publications and 384 citations, Shang holds an h-index of 10.

Metrics

• h-index: 9
• Publications: 93
• Citations: 366