Abstract

We will present our work in software engineering, AI and mobile computing. In software engineering, it is common to find user reviews in Android play store complaining the performance and energy issues in various Android applications. This talk introduces some recent studies made by the CASTLE research group at HKUST on these issues. We will discuss several interesting empirical findings made from the bug reports and code fixes of popular Android applications. Challenges and opportunities are identified. We will discuss some preliminary approaches and their results.

In AI, big data is everywhere. Besides the huge data scale, big data problems are also characterized by their high complexities. Often, there are a lots of input features and involve a lot of learning tasks related in some complicated manner. In this talk, I will describe several recent approaches in tackling these problems. These algorithms are flexible, computationally efficient, and have better empirical performance than existing approaches.

In mobile computing, Mobile Augmented Reality (MAR) is widely regarded as one of the most promising technologies in the next ten years. With MAR, we are able to blend information from our senses and mobile devices in myriad ways that were not possible before. The way to supplement the real world other than to replace real world with an artificial environment makes it especially preferable for applications such as tourism, navigation, entertainment, advertisement, and education. In this talk, I will introduce some latest MAR research activities in our HKUST-DT Systems and Media Lab.