- Machine Learning and ELM
- Neural Networks and Applications
- International Law and Human Rights
- Advanced Neural Network Applications
- Cryptography and Residue Arithmetic
- Evacuation and Crowd Dynamics
- Data-Driven Disease Surveillance
- Conflict of Laws and Jurisdiction
- Psychology of Social Influence
- Numerical Methods and Algorithms
- Virtual Reality Applications and Impacts
- Vaccine Coverage and Hesitancy
- Coding theory and cryptography
- International Law and Aviation
- Disaster Management and Resilience
- Human Mobility and Location-Based Analysis
- Machine Learning and Data Classification
- Customer Service Quality and Loyalty
- Digital Marketing and Social Media
- Misinformation and Its Impacts
- Intergenerational Family Dynamics and Caregiving
- Family Support in Illness
- Advanced Decision-Making Techniques
- Domain Adaptation and Few-Shot Learning
Tulane University
2022-2023
Durham University
2023
Guilin University of Aerospace Technology
2021
Northwest Normal University
2017-2019
Guangdong University of Foreign Studies
2012
Shanghai Jiao Tong University
2006
Evacuations have a significant impact on saving human lives during hurricanes. However, as complex dynamic process, it is typically difficult to know individual evacuation decisions in real-time. Since large amount of information continuously posted through social media platforms, we can use them understand behavior. In this paper, collect tweets Hurricane Irma 2017 and train text classifier an active learning way distinguish expressing positive from both negative irrelevant ones....
This article was based on the fact that previous scholars have mostly studied healing function of plush toys in postoperative rehabilitation, but there is little discussion economy. So, this paper aimed to examine why Jellycat so popular among young Chinese 21st century, amidst rising stress and loneliness. The qualitative data were collected through websites. analysis developed Marketing Mix Theory, where a SWOT conducted for product, price, promotion Jellycat. research resulted reveal...
Training Back-Propagation Neural Networks (BPNNs) on big datasets faces two challenges, the hight time cost and possibility of getting trapped into local optimum. MapReduce has been introduced to improve efficiency BPNN training in recent years. After each turn split dataset concurrently, lots BPNNs that are only convergent specific will be produced, a global candidate whole needs generated from them. This process is full challenges because it high impact as well accuracy. The paper...
Owing to its scalability and high fault-tolerance even on a distributed environment built up with personal computers, MapReduce has been introduced parallelise the training of Back Propagation Neural Networks (BPNNs) high-dimensional big datasets. Based evolution local BPNNs produced by Map tasks different data splits, paper proposes novel approach data-parallel in MapReduce. The provides reasonable measure get global convergent BPNN candidates from only specific splits. Further, it not can...
Traditional media often charge different percentages of service fees when providing services for brands, which to a certain extent increases the operating costs brand owners. However, in modern society, after consumers' attention is tilted towards online platforms, effectiveness traditional marketing channels owners gradually decreases, so self-media platforms and content start become new communication carriers. In terms overall development trend advertising industry, agencies are main...
The COVID-19 pandemic has had a profound impact on the global community, and vaccination been recognized as crucial intervention. To gain insight into public perceptions of vaccines, survey studies analysis social media platforms have conducted. However, existing methods lack consideration individual intentions or status relationship between actual vaccine uptake. address these limitations, this study proposes text classification approach to identify tweets indicating user's intent...
In an increasingly competitive market, if companies can accumulate customer resources, they make this part of their core competencies a key point. When making purchasing decisions, customers are not only concerned about product quality and price, but also psychological satisfaction service during the purchase process. Analysing relationship management based on consumer's perspective help to meet needs different groups according characteristics strengthen loyalty brand complete long-term use...