Compressive sensing (CS) is a technique frequently adopted in wireless communications. By utilizing CS, a receiver could sense the state of channels with sub-Nyquist analog to digital converters when ...

Our current research focus is on deep/reinforcement learning, distributed machine learning, and graph learning. Other research projects from our group include learning to rank, computational ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...

In a world where Machine Learning (ML) is increasingly used to make predictions about critical events, such as health outcomes, it is crucial to ensure decision-makers have access to explainable, ...