Advances in deep neural networks (DNNs) have fostered a wide spectrum of intelligent mobile applications ranging from voice assistants on smartphones to augmented reality with smart-glasses. To deliver high-quality services, these DNNs should operate on ...

To meet the growing bike-sharing demands and make people’s travel convenient, the companies need to add new stations at locations where demands exceed supply. Before making reliable decisions on adding new stations, it is required to understand the ...

Recent sequential recommendation models rely increasingly on consecutive short-term user-item interaction sequences to model user interests. These approaches have, however, raised concerns about both short- and long-term interests. (1) short-term: ...

Within-basket recommendation (WBR) is to recommend suitable items for the current basket with some already known items. The within-basket auxiliary item recommendation (WBAIR) is to recommend auxiliary items based on the primary items in the basket. Such ...

Knowledge-enhanced dialogue systems aim to generate factually correct and coherent responses by reasoning over knowledge sources, which is a promising research trend. The truly harmonious human-agent dialogue systems need to conduct engaging conversations ...

During the last few years, there is a growing interest on the usage of Wi-Fi signals for human activity detection. A large number of Wi-Fi based sensing systems have been developed, including respiration detection, gesture classification, identity ...

The ubiquity of camera-embedded devices and the advances in deep learning have stimulated various intelligent mobile video applications. These applications often demand on-device processing of video streams to deliver real-time, high-quality services ...

For the sake of determining the reliability of an event, this paper proposes a method of identifying the authenticity of a microblog event based on human-machine collaboration. Using the Weibo that was spoken in the incident and the public information ...

The self-healing function of the distribution network can be realized by diagnosing and warning the distribution network before the fault and locating and isolating the distribution network after the fault, so as to ensure the safe and stable operation ...

Good self-healing ability is a sign of smart power grid construction and also an important research direction of distribution network planning. The optimal switch configuration based on distribution automation can effectively improve the self-healing ...

Automatically detecting fake news as early as possible becomes increasingly necessary. Conventional approaches of fake news early detection (FNED) verify news' veracity with a predefined and indiscriminate detection position, which depends on domain ...

The blooming of fake news on social networks has devastating impacts on society, the economy, and public security. Although numerous studies are conducted for the automatic detection of fake news, the majority tend to utilize deep neural networks to learn ...

The prediction of express delivery sequence, i.e., modeling and estimating the volumes of daily incoming and outgoing parcels for delivery, is critical for online business, logistics, and positive customer experience, and specifically for resource ...

Driven by state-of-the-art AI technologies, human-AI collaboration has become an important area in computer supported teamwork research. Principles for Human-Machine Computing (HMC) have been discussed to accomplish complex goals by outsourcing some ...

The built-in loudspeakers of mobile devices (e.g., smartphones, smartwatches, and tablets) play significant roles in human-machine interaction, such as playing music, making phone calls, and enabling voice-based interaction. Prior studies have pointed ...

Neural Multi-task Learning is gaining popularity as a way to learn multiple tasks jointly within a single model. While related research continues to break new ground, two major limitations still remain, including (i) poor generalization to scenarios ...

Social recommendation with Graph Neural Networks(GNNs) learns to represent cold users by fusing user-user social relations with user-item interactions, thereby alleviating the cold-start problem associated with recommender systems. Despite being well ...

Recently, fake news has been readily spread by massive amounts of users in social media, and automatic fake news detection has become necessary. The existing works need to prepare the overall data to perform detection, losing important information about ...

Non-IID spatio-temporal prediction research points toward emerging directions and fundamental solutions to address various complexities from the perspective of both data couplings and heterogeneity. Delving into the non-IID challenge and opportunity of ...

People with disabilities can pervasively obtain navigation services based on modern machine learning and 5G techniques.