Large language models (LLMs), such as ChatGPT and GPT4, are making new waves in the
field of natural language processing and artificial intelligence, due to their emergent ability …

The big data era enables automakers to mine users' affective (Kansei) requirements for the
car design. However, existing literature mostly applies text mining with users' online …

Recommender systems are pivotal in enhancing user experiences across various web
applications by analyzing the complicated relationships between users and items …

Automated log analysis has been widely applied in modern data-center network, performing
critical tasks such as log parsing, log anomaly detection and log-based failure prediction …

The fast development of location-based social networks (LBSNs) has led to significant
changes in society, resulting in popular studies of using LBSN data for socioeconomic …

Abstract Domain adaptation is a good way to boost BERT's performance on domain-specific
natural language processing (NLP) tasks. Common domain adaptation methods, however …

Automated log analysis with AI technologies is commonly used in network, system, and
service operation and maintenance to ensure reliability and quality assurance. Log parsing …

Climate change poses grave challenges, demanding widespread understanding and low-
carbon lifestyle awareness. Large language models (LLMs) offer a powerful tool to address …

Existing graph pre-training methods demonstrate their ability to generate vertex
representations beneficial for downstream machine-learning tasks. However, the quality of …