SMILE lab focuses on the frontier research of Artificial Intelligence, especially Machine Learning, Computer Vision and Data Mining. Our research is driven by the explosion of real-world diverse and massive data from the Internet, social media, sensor, personal or publicly available texts, photos, audios and videos. We start by treating fundamental theory from learning algorithm as the soul of machine intelligence and arm it with visual perception. What follows is a machine learning system that not only actively collects massive visual information from the environment, but also processes and responds human interactively through recognition, classification, understanding, and inference. We approach visual problem “what is it?” but we are more interested in “what should we do?” or “what does it mean?” and hopefully tackle them by interacting with machines when data are in large-scale and parsing process is extremely complex, e.g., mining representations among billions of images, recommending through visual cues, deep understanding and early prediction of events and activities under social context.