Academic Background In the field of artificial intelligence, Multi-modal Representation Learning (MMRL) is a powerful paradigm aimed at mapping inputs from different modalities into a shared representation space. For example, in social networks, users often share both images and text simultaneously. Through multi-modal representation learning, mode...
In real-world applications, multi-view data is widely available. Multi-view data refers to data collected from multiple sources or through multiple representations, such as different language versions of the same news story or disease data obtained through different medical tests. Multi-view learning is an effective method for mining multi-view dat...
Deep Learning, as a crucial branch of artificial intelligence, has achieved significant progress in recent years across various fields such as computer vision and natural language processing. However, the success of deep learning largely depends on the choice of loss functions and performance metrics. Loss functions are used to measure the differen...
Academic Background With the rapid development of cloud computing technology, the demand for efficient job scheduling in dynamic and heterogeneous cloud environments has grown significantly. Traditional scheduling algorithms perform well in simple systems but are no longer sufficient for modern, complex cloud infrastructures. Issues such as resourc...
With the increasing severity of global environmental issues, companies are placing greater emphasis on green and sustainable development in supply chain management. Green Supply Chain Management (GSCM) has become a crucial means for enterprises to enhance competitiveness and achieve sustainable development. However, Green Supplier Selection (GSS) i...
Academic Background In recent years, the rapid development of nanotechnology and the Internet of Things (IoT) has given rise to a revolutionary field—the Internet of Nano Things (IoNT). The IoNT connects nanoscale devices to the internet, enabling them to play significant roles in areas such as agriculture, military, multimedia, and healthcare. How...
Academic Background Emotion Recognition is an important research direction in the fields of Artificial Intelligence (AI) and Affective Computing, with broad application prospects in areas such as healthcare, education, and Human-Computer Interaction (HCI). Speech, as a significant carrier of emotional expression, can convey rich emotional informati...
With the rapid development of the Internet of Things (IoT) and Web of Things (WoT), security issues have become increasingly prominent. In particular, the frequent occurrence of Denial of Service (DoS) attacks has made the security of WoT systems an urgent problem to be addressed. WoT achieves seamless connectivity between IoT devices and the inter...
The Paris Agreement is a crucial framework for global climate action, with countries outlining their climate goals and strategies through Nationally Determined Contributions (NDCs). While existing research has primarily focused on assessing the mitigation targets within NDCs, the broader textual content of these documents has received little system...
Academic Background With the rapid growth of digital content, the importance of digital signatures in identity verification and content authentication has become increasingly prominent. However, the security and integrity of digital signatures face significant challenges. To protect the authenticity of signatures and prevent tampering, digital wate...