Xiao-Kun Wu
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View article: LLM Fine-Tuning: Concepts, Opportunities, and Challenges
LLM Fine-Tuning: Concepts, Opportunities, and Challenges Open
As a foundation of large language models, fine-tuning drives rapid progress, broad applicability, and profound impacts on human–AI collaboration, surpassing earlier technological advancements. This paper provides a comprehensive overview o…
View article: Leveraging Large Language Models for Efficient Key Sensor Point Identification and Noise Mitigation in Industrial Iot
Leveraging Large Language Models for Efficient Key Sensor Point Identification and Noise Mitigation in Industrial Iot Open
View article: Mapping Computational Communication Research: A Methodological Breakthrough and Thematic Exploration
Mapping Computational Communication Research: A Methodological Breakthrough and Thematic Exploration Open
Computational communication delves into the analysis of digital data, social media interactions, and algorithms that shape communication processes, yet few studies focus on the framework and internal structure of the methodological framewo…
View article: Unveiling evolving nationalistic discourses on social media: a cross-year analysis in pandemic
Unveiling evolving nationalistic discourses on social media: a cross-year analysis in pandemic Open
The global pandemic has dramatically reshaped public discourse, with social media emerging as a pivotal platform for these discussions. This study delves into evolving sentiments, emotions, and prevalent topics in online discussions spanni…
View article: Customized influence maximization in attributed social networks: heuristic and meta-heuristic algorithms
Customized influence maximization in attributed social networks: heuristic and meta-heuristic algorithms Open
The influence maximization problem is one of the most fundamental topics in social networks. However, most existing studies have focused on non-attributed networks, neglecting the consideration of users’ properties during information propa…
View article: Exploring the Dynamics of Social Support in Online Depression Communities: A Multi-Dimensional Measurement Approach
Exploring the Dynamics of Social Support in Online Depression Communities: A Multi-Dimensional Measurement Approach Open
View article: Incorporating Fuzzy Cognitive Inference for Vaccine Hesitancy Measuring
Incorporating Fuzzy Cognitive Inference for Vaccine Hesitancy Measuring Open
Vaccine hesitancy plays a key role in vaccine delay and refusal, but its measurement is still a challenge due to multiple intricacies and uncertainties in factors. This paper attempts to tackle this problem through fuzzy cognitive inferenc…
View article: A Study on C-E Translation of the Introduction of Chinese Oil Corporations under Skopos Theory
A Study on C-E Translation of the Introduction of Chinese Oil Corporations under Skopos Theory Open
Because of further implementation of the policy of reform and opening-up and the Belt and Road Initiative, an increasing number of Chinese corporations are going globally to gain the share of international market, hoping to gain a foothold…
View article: Evolutionary Computation in Social Propagation over Complex Networks: A Survey
Evolutionary Computation in Social Propagation over Complex Networks: A Survey Open
Social propagation denotes the spread phenomena directly correlated to the human world and society, which includes but is not limited to the diffusion of human epidemics, human-made malicious viruses, fake news, social innovation, viral ma…
View article: Toward Identifying Key Gene Group in the Occurrence and Development of Lung Adenocarcinoma
Toward Identifying Key Gene Group in the Occurrence and Development of Lung Adenocarcinoma Open
Lung adenocarcinoma (LUAD) has become the most common pathological type of lung cancer in recent years. However, the molecular mechanism of LUAD remains unclear. To reveal the laws in the occurrence and development of LUAD, this paper firs…
View article: A Binary Particle Swarm Optimizer With Priority Planning and Hierarchical Learning for Networked Epidemic Control
A Binary Particle Swarm Optimizer With Priority Planning and Hierarchical Learning for Networked Epidemic Control Open
The control of epidemics taking place in complex networks has been an increasingly active topic in public health management. In this article, we propose an efficient networked epidemic control system, where a modified susceptible-exposed-i…