Predicting air pollution concentration is crucial and beneficial for public health. This study proposes a domain-specific Bayesian deep-learning model for long-term air pollution forecast in China and the United Kingdom. Our proposed model carries thre…
Symmetric high-dimensional and sparse (SHiDS) networks are frequently found in various industrial applications. A symmetric non-negative latent factor (SNLF) model can acquire essential features from them precisely, yet it suffers from slow convergence…
The booming of multimedia technologies has promoted the diversity of visual big data. To learn common features across heterogeneous image data, the image co-processing has exhibited its advantages over the separate one. Recently, an active topic of ima…
Directed and undirected probabilistic graphical models have been successfully used in community detection in recent years, but existing graphical model based methods usually only use one type of probabilistic graphical model to discover communities. Ho…
Discovering communities is an essential step in the analysis of complex systems, and it has two purposes: to identify functional modules and to interpret semantics. However, most of the existing community detection methods only focused on identify comm…
Supervised discrete hashing (SDH) has widely attracted attention because it can directly obtain hash codes rather than relaxing the discrete constraint, which reduces information loss during the quantization process. However, SDH and its extensions ten…
The rapid progress of urbanization has expedited the process of urban planning, e.g., new residential, commercial areas, which in turn boosts the local travel demand. We propose a novel “off-deployment traffic estimation problem”, namely,…
With the rapid development of web technology, social media platforms have become a breeding ground for rumors. These rumors can threaten people’s health, endanger the economy, and affect the stability of a country. In recent years, to mitigate t…
With the wide range application of machine learning in healthcare for helping humans drive crucial decisions, data privacy becomes an inevitable concern due to the utilization of sensitive data such as patients records and registers of a company. Thus,…
P2P lending is an increasingly prosperous financial market, where lenders can directly bid and invest on the loans posted by borrowers. However, when facing massive loan requests, it is very difficult and also boring for lenders to choose loan portfoli…