Huaming Wu
Biographic Data
| ID | 10054681 |
|---|---|
| NAME | Huaming Wu |
| GIVEN NAMES | Huaming |
| FAMILY NAME | Wu |
| SIGNATURE | WU H |
| AFFILIATIONS | Tianjin University |
| ORCID | 0000-0002-4761-9973 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Blockchain-Driven Conjunctive Keyword Searchable Technique Over Encrypted Data for Cloud-Based Cyber Physical Social Systems
Cyber-physical-social (CPS) systems require searchable encryption (SE) to safeguard sensitive data before storing it in the cloud. Existing dynamic searchable symmetric encryption (DSSE) methods have problems with index creation, document updates that lose data, and search speed. These issues must be addressed to develop an efficient CPS system. Therefore, we have developed a new approach that integrates a DSSE protocol with a blockchain-based da…
MobiTask: A Federated Learning-Based Task Migration Strategy for Mobile Crowdsensing
In mobile crowdsensing (MCS), the quality of sensing is often enhanced through the rational allocation of tasks in the initial phase. However, during task execution, some participants may fail to complete their tasks on time, adversely affecting the overall completion rate. Although existing studies have introduced the concept of task migration, they lack a comprehensive migration strategy. To address this issue, we propose MobiTask, a federated …
Transformative effects of ChatGPT on modern education: Emerging Era of AI Chatbots
ChatGPT, an AI-based chatbot, was released to provide coherent and useful replies based on analysis of large volumes of data. In this article, leading scientists, researchers and engineers discuss the transformative effects of ChatGPT on modern education. This research seeks to improve our knowledge of ChatGPT capabilities and its use in the education sector, identifying potential concerns and challenges. Our preliminary evaluation concludes that…
MRFS: Mining Rating Fraud Subgraph in Bipartite Graph for Users and Products
Fraud in e-commerce fields (e.g., Amazon, Taobao, and so on) and social networks (e.g., Twitter and Weibo) has recently brought a very bad user experience. Rating fraud detection is an urgent issue for improving user experiences. However, existing methods have lots of limitations in some respects, because it is always very hard to acquire sufficient labeled data for fraud detection and detect new fraud patterns. Fortunately, the relationship for …
Inductive Link Prediction via Interactive Learning Across Relations in Multiplex Networks
Network embedding is an important class of link prediction methods, which can use the distance between learned low-dimensional node representations to characterize the similarity between nodes. Traditional network embedding methods focus on single-layer networks, while in reality, a large part of complex networks are not isolated, but interdependent and interrelated, forming multiplex complex networks. Also, how to effectively exploit layer corre…
No prominent works on this page.
Transformative effects of ChatGPT on modern education: Emerging Era of AI Chatbots
ChatGPT, an AI-based chatbot, was released to provide coherent and useful replies based on analysis of large volumes of data. In this article, leading scientists, researchers and engineers discuss the transformative effects of ChatGPT on modern education. This research seeks to improve our knowledge of ChatGPT capabilities and its use in the education sector, identifying potential concerns and challenges. Our preliminary evaluation concludes that…
MRFS: Mining Rating Fraud Subgraph in Bipartite Graph for Users and Products
Fraud in e-commerce fields (e.g., Amazon, Taobao, and so on) and social networks (e.g., Twitter and Weibo) has recently brought a very bad user experience. Rating fraud detection is an urgent issue for improving user experiences. However, existing methods have lots of limitations in some respects, because it is always very hard to acquire sufficient labeled data for fraud detection and detect new fraud patterns. Fortunately, the relationship for …
Inductive Link Prediction via Interactive Learning Across Relations in Multiplex Networks
Network embedding is an important class of link prediction methods, which can use the distance between learned low-dimensional node representations to characterize the similarity between nodes. Traditional network embedding methods focus on single-layer networks, while in reality, a large part of complex networks are not isolated, but interdependent and interrelated, forming multiplex complex networks. Also, how to effectively exploit layer corre…
Blockchain-Driven Conjunctive Keyword Searchable Technique Over Encrypted Data for Cloud-Based Cyber Physical Social Systems
Cyber-physical-social (CPS) systems require searchable encryption (SE) to safeguard sensitive data before storing it in the cloud. Existing dynamic searchable symmetric encryption (DSSE) methods have problems with index creation, document updates that lose data, and search speed. These issues must be addressed to develop an efficient CPS system. Therefore, we have developed a new approach that integrates a DSSE protocol with a blockchain-based da…
MobiTask: A Federated Learning-Based Task Migration Strategy for Mobile Crowdsensing
In mobile crowdsensing (MCS), the quality of sensing is often enhanced through the rational allocation of tasks in the initial phase. However, during task execution, some participants may fail to complete their tasks on time, adversely affecting the overall completion rate. Although existing studies have introduced the concept of task migration, they lack a comprehensive migration strategy. To address this issue, we propose MobiTask, a federated …
Computer Science (3 works) · Data mining (2 works) · Engineering (2 works) · Graph (2 works) · Machine learning (2 works) · Theoretical Computer Science (2 works) · Access control (1 works) · Advanced Graph Neural Networks (1 works) · Artificial Intelligence (1 works) · Artificial Intelligence in Healthcare and Education (1 works)