Professor Xiangliang Zhang’s research focuses on machine learning, data mining and their application in knowledge discovery.

She targets challenging problems that include:

• learning from complicated and dynamic environments;
• learning with missing and noisy data;
• understanding the risk of machine learning models under threats of attacks;
• discovering novel knowledge in various application domains via knowledge representation learning, extraction and inference.