A5089825406- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Misinformation and Its Impacts
- Recommender Systems and Techniques
- Advanced MIMO Systems Optimization
- Wireless Communication Networks Research
- Caching and Content Delivery
- Advanced Text Analysis Techniques
- Advanced Computational Techniques and Applications
- Web Data Mining and Analysis
- Cognitive Radio Networks and Spectrum Sensing
- Advanced Graph Neural Networks
- Mental Health Research Topics
- Advanced Malware Detection Techniques
- Social Media and Politics
- Network Security and Intrusion Detection
- Power Line Communications and Noise
- Human Mobility and Location-Based Analysis
- Topic Modeling
- Smart Grid Energy Management
- Image Processing and 3D Reconstruction
- Advanced Wireless Network Optimization
- Advanced Wireless Communication Techniques
- Spam and Phishing Detection
- Peer-to-Peer Network Technologies
Chongqing University of Posts and Telecommunications
2014-2025
University of Science and Technology Beijing
2024
China Southern Power Grid (China)
2024
Beijing University of Posts and Telecommunications
2011-2022
Nanjing University of Posts and Telecommunications
2022
Hubei Normal University
2021
North China University of Science and Technology
2021
Southwestern Institute of Physics
2021
Shenzhen University
2020
Shandong Jiaotong University
2014
Real-time demand response management (DRM) in smart grid (SG) requires a reliable wireless communication network with sufficient spectrum resources. However, the allocated for communications is heavily under-utilized spatial and temporal dimensions. To solve scarcity problem, cognitive radio (CR) dynamic sharing have been proposed, but this can result poor reliability. In paper, influence of reliability on DRM analyzed relationship between outage performance derived. Outage results from not...
Exploring the dynamics of diffusion multiple social networking messages associated with same topic has become focus current research. Given interaction among involved in a process and rich intertwined effects, model based on multiplex network space is proposed. The proposed attempts to explore internal mechanism related concurrent relative topics. First, aiming at multidimensional characteristics space, overlap structure, complexity behavior are mined mapped space. Through hierarchical...
The development of social networks has prompted a shift in marketing strategies, with surging demand for vertical domains characterized by high user stickiness and specialization. To address this, we propose traceability model based on domain preference heterogeneous networks. Firstly, considering the problem topic features metric influence users' degree propagation, are treated as latent semantics, user-topic association matrix sparse is densified using factor to mine information...
This paper introduces the overall framework of intelligent electrical sporadic materials management system based on ubiquitous Internet Things. The includes storage equipment and an terminal. It makes optimal design for terminals. dynamic modeling a three-layer supply chain power is constructed composed manufacturers, suppliers, raw materials. inventory control strategy each link in under different cooperation levels studied by introducing corresponding adjustment variables. Through...
Recommendation systems greatly improve user experience with personalized suggestions. Much research utilizes deep learning to extract interest features, yet often neglects their real-time and dynamic aspects. This paper proposes a joint learning-based recommendation model (JLS-Rec) for e-commerce platforms, integrating both short-term long-term interests. First, users' interests, the suggests mining more detailed interests from behavior sequences. method decouples sequence in horizontal...
Rumors in different topic domains have text characteristics but similar emotional tendencies. To resolve the scarce-data problem some rumor-topic domains, this study proposes a cross-domain rumor-propagation model, which is based on transfer learning. First, given diversity and complexity of landscape, introduces novel method, User–Retweet–Rumor2vec (URR2vec), leverages power representation learning to uncover latent features within rumor topics. It also displays forwarding relationship...
In social networks, many complex factors affect the prediction of user forwarding behavior. This paper proposes an improved SVM method for behavior hot topics to improve accuracy. Firstly, we consider that Cuckoo Search algorithm can select optimal penalty parameters and kernel function optimize thus predict user's Secondly, this considers comprehensively from own external factors. Finally, based on characteristics changing over time, time-slicing is used trend topics. Experiments show...
This study proposes a tripartite cognitive model of information dissemination based on the symbiosis and antagonism multiple types messages, as well polymorphism user process under influence multimessages. To begin, euphoric state induced by users' exposure to multimessages is proposed, which can be used more realistically describe complex psychological users during game Second, theory construct user's transformation drive force. Meanwhile, entropy introduced further quantify message...