A5006612493- Knowledge Management and Sharing
- Technology Adoption and User Behaviour
- Privacy-Preserving Technologies in Data
- Digital Marketing and Social Media
- Human Mobility and Location-Based Analysis
- Cryptography and Data Security
- Opportunistic and Delay-Tolerant Networks
- Artificial Intelligence in Healthcare and Education
- Advanced Graph Neural Networks
- Caching and Content Delivery
- Cognitive Science and Mapping
- Microfinance and Financial Inclusion
- FinTech, Crowdfunding, Digital Finance
- Urban Transport and Accessibility
- Vehicular Ad Hoc Networks (VANETs)
- Innovation and Knowledge Management
- Multi-Agent Systems and Negotiation
- Human Resource and Talent Management
- Sharing Economy and Platforms
- AI and HR Technologies
- Organizational and Employee Performance
- Recommender Systems and Techniques
- Social Media and Politics
- Team Dynamics and Performance
- Temporomandibular Joint Disorders
Southern Medical University
2025
University of Science and Technology of China
2023-2024
Venus Medtech (China)
2023-2024
Tianjin University
2018-2022
University of Science and Technology Beijing
2017
Beijing University of Posts and Telecommunications
2015-2016
Due to the pervasiveness of mobile devices, a vast amount geolocated data is generated, which allows us gain deep insight into human behavior. Among other sources, analysis traffic from Internet enables study subscribers' movements over long time periods at large scales, paramount research wide range disciplines, e.g., sociology, transportation, epidemiology, networking, etc. However, efficiently analyze massive view user mobility, several technical challenges have be tackled before...
A comprehensive analysis of the occlusal plane (OP) inclination in predicting anteroposterior mandibular position (APMP) changes is still lacking. This study aimed to analyse relationships between inclinations different OPs and APMP metrics explore feasibility OP APMP. Overall, 115 three-dimensional (3D) models were reconstructed using deep learning-based cone-beam computed tomography (CBCT) segmentation, their accuracy supporting cusps was compared with that intraoral scanning models. The...
Federated learning (FL) enables large amounts of participants to construct a global model, while storing training data privately at local client devices. A fundamental issue in FL systems is the susceptibility highly skewed distributed data. series methods have been proposed mitigate Non-IID problem by limiting distances between models and but they cannot address root cause distribution eventually. Some share extra samples from server clients, which requires comprehensive collection may...
Summary Predicting users' next location/place allows us to anticipate their future movement. It provides additional time be ready for that movement and react consequently. Furthermore, many industries, including Internet Service Providers, are still requiring low cost simple prediction methods can implemented on mobile device. This paper studies domain‐independent algorithms spatio‐temporal based method using 20‐day‐long records in Long Term‐Evolution(LTE) network, which captures the...
The developments of Information and Communication Technology (ICT) Internet Things (IoT) are being used to enhance quality, performance interactivity urban services. Benefited from the widespread adoption mobile devices, we can collect amount data for user mobility analysis. Mining hidden information users' is important builders smart city provide better location-based service. This paper focuses on two classical domain-independent prediction models one improved Markov model that capable...
In recent years, online education has boomed. However, business ethics faces a challenge in which the lack of communication among teachers and students leads to decline teaching effectiveness. Social media applications can be imbedded traditional solve this problem. paper, based on elaboration likelihood model social capabilities theory, we develop an integrated explain how change students’ attitudes about corporate responsibility (CSR) happens media-supported environment affect processes....
Purpose Prosocial lending in online crowdfunding has flourished recent years, and it become a new way to fundraise for philanthropy. However, there is almost 70% user attrition rate crowdfunding. The purpose of this study understand what the lender’s experience social connection influence lender retention prosocial from self-determination perspective. Design/methodology/approach Drawing on theory (SDT), research utilizes quantifiable method factors lender's connection. Additionally,...
The developments of Information and Communication Technology (ICT) Internet Things (IoT) are being used to enhance quality, performance interactivity urban services. Benefited from the widespread adoption mobile devices, we can collect amount data for user mobility analysis. Mining hidden information users' is important builders smart city provide better location-based service. This paper focuses on two classical domain-independent prediction models one improved Markov model that capable...
In recent decades, innovation and entrepreneurship have become buzz words. reality, traditional research with empirical results is not practical for analyzing these newly launched projects of small micro enterprises before production sale. Actually, the future market prospect an important criterion evaluating entrepreneurial projects. However, this direction has been well explored due to limitations scenarios technical challenges especially enterprises. paper, we construct interesting study...
Occupational skill demand (OSD) forecasting seeks to predict dynamic specific occupations, beneficial for employees and employers grasp occupational nature maintain a competitive edge in the rapidly evolving labor market. Although recent research has proposed data-driven techniques demand, focus remained predominantly on overall trends rather than granularity. In this paper, we propose novel Pre-training Enhanced Dynamic Graph Autoencoder (Pre-DyGAE), from an perspective. Specifically,...
The untapped value of intangible assets is highlighted by both scholars and experts in the sharing economy (Botsman, 2014; Nielson, 2014). One most outstanding shari...
Technology-enhanced learning (TEL) is important in social web. Recently, cognitive computing became significant to analyze sentiment and improve effectiveness TEL field. So analyzing the development of computing, what how its abilities are necessary. For solving these issues, this study used systematic review approach based on technology view enhancement TEL. Specifically, topic search results computer science field “cognitive computing” “anticipatory Web Science database do map analysis....
Purpose Social loafing in knowledge contribution (namely, [KCL]) usually happens group context, especially the mobile collaboration tasks. KCL shows dynamic features over time. However, most previous studies are based on static assumption, that is, will not change This paper aims to reveal dynamics of and analyze how network centrality influences states considering current state. Design/methodology/approach study is empirical design. Real behavioral data related were collected investigate...
Artificial Intelligence Generated Content (AIGC), as an emerging content generation method, possesses creative characteristics that inherently facilitate the knowledge creation process. However, specific impact of AIGC technology on process remains unclear. Based Adaptive Structuration Theory, this paper delves into how influences within organizations, while also shedding light far-reaching implications at both organizational and individual levels. This study offers a fresh perspective for...
With the increasingly prevailing usage of Information and Communication technologies (ICT) in collaborative learning, students can cooperate with others online easily, spite restriction time location. Social loafing, a common phenomenon work, has negative effect on team performance, especially individual's knowledge sharing behavior. In recent years, there are also some researches pointing out that social loafing is kind hidden unobservable this study, we propose research model based...
Retrieval-augmented generation (RAG) improves the service quality of large language models by retrieving relevant documents from credible literature and integrating them into context user query. Recently, rise cloud RAG has made it possible for users to query conveniently. However, directly sending queries brings potential privacy leakage. In this paper, we are first formally define privacy-preserving protect propose RemoteRAG as a solution regarding privacy, efficiency, accuracy. For...
Purpose The model of pay-for-knowledge incentivizes individuals with financial rewards for sharing their expertise, facilitating a transactional exchange between knowledge providers (sellers) and seekers (buyers). While this is effective in promoting paid contributions, its influence on free exchanges remains ambiguous, creating uncertainty about overall impact platform ecosystems. This study aims to explore the mechanim how payment influences contribution. Based relational signaling theory,...