Naiqi Wu
Biographic Data
| ID | 9679160 |
|---|---|
| NAME | Naiqi Wu |
| GIVEN NAMES | Naiqi |
| FAMILY NAME | Wu |
| SIGNATURE | WU N |
| AFFILIATIONS | Macau University of Science and Technology |
| ORCID | 0000-0001-6782-458X |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Parallel Tourism System With Foundation Models and Decentralized Autonomous Organizations
Tourism is a critical driver of economic growth and cultural exchange. However, traditional tourism models often struggle to address challenges such as insufficient understanding of diverse travel preferences, limited capacity for personalized services, and a lack of intelligent, convenient service solutions. In this paper, we propose a virtual‐real interactive Parallel Tourism System (PTS) and a Smart Tourism and Lifestyle Service Large Model (S…
Quasi Group Role Assignment With Agent Satisfaction in Self-Service Spatiotemporal Crowdsourcing
Quasi group role assignment (QGRA) presents a novel social computing model designed to address the burgeoning domain of self-service spatiotemporal crowdsourcing (SSC), specifically for tackling the photographing to make money problem (PMMP). Nevertheless, the application of QGRA in practical scenarios encounters a significant bottleneck. QGRA provides optimal assignment strategies under conditions where both the number of crowdsourced tasks and …
Robust Asymmetric Cross-Modal Hashing Retrieval With Dual Semantic Enhancement
As social media faces with large amounts of data and multimodal properties, cross-modal hashing (CMH) retrieval gains extensive applications with its high efficiency and low storage consumption. However, there are two issues that hinder the performance of the existing semantics-learning-based CMH methods: 1) there exist some nonlinear relationships, noises, and outliers in the data, which may degrade the learning effectiveness of a model; and 2) …
Iterative Role Negotiation via the Bilevel GRA++ With Decision Tolerance
Role negotiation (RN) is situated at the initial stage of the role-based collaboration (RBC) methodology and is independent of the subsequent agent evaluation and role assignment (RA) processes. RN is to determine the roles and the resource requirements for each role. In existing RBC-related research, RN is assumed to be static. This means that the roles and the resource requirements for each role are predetermined by decision-makers. However, th…
Optimization of Inventory Space in Smart Factory for Integrated Periodic Production and Delivery Scheduling
With severe global competitions, how to control inventory so as to reduce the material storage space plays a pivotal role in reducing the daily cost resulted from the land rental. The goal of this article is to develop a periodic material delivering schedule to minimize the space required for inventory. We take a leading home appliance manufacturing system in China as a case problem to study the material delivery scheduling optimization problem s…
Fast Asymmetric and Discrete Cross-Modal Hashing With Semantic Consistency
Hashing has attracted widespread attention in the field of supervised cross-modal retrieval due to its advantages in search and storage. However, there are still some issues to be addressed, e.g.: 1) how to effectively combine sample and label semantics to learn hash codes; 2) how to reduce high computational requirements brought by computing a pairwise similarity matrix; and 3) how to effectively solve discrete optimization problems. To cope wit…
Solving Last-Mile Logistics Problem in Spatiotemporal Crowdsourcing via Role Awareness With Adaptive Clustering
Last-mile logistics is a crucial phase of online commodity trades. In last-mile logistics, one of the critical problems is to reasonably assign couriers to distribute the products in time in order to ensure the quality of service, especially for fresh produce. The last-mile assignment problem (LMAP) for fresh produce poses a challenge on traditional logistics since fresh produce is difficult to preserve. This article formalizes the LMAP for fresh…
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Solving Last-Mile Logistics Problem in Spatiotemporal Crowdsourcing via Role Awareness With Adaptive Clustering
Last-mile logistics is a crucial phase of online commodity trades. In last-mile logistics, one of the critical problems is to reasonably assign couriers to distribute the products in time in order to ensure the quality of service, especially for fresh produce. The last-mile assignment problem (LMAP) for fresh produce poses a challenge on traditional logistics since fresh produce is difficult to preserve. This article formalizes the LMAP for fresh…
Optimization of Inventory Space in Smart Factory for Integrated Periodic Production and Delivery Scheduling
With severe global competitions, how to control inventory so as to reduce the material storage space plays a pivotal role in reducing the daily cost resulted from the land rental. The goal of this article is to develop a periodic material delivering schedule to minimize the space required for inventory. We take a leading home appliance manufacturing system in China as a case problem to study the material delivery scheduling optimization problem s…
Fast Asymmetric and Discrete Cross-Modal Hashing With Semantic Consistency
Hashing has attracted widespread attention in the field of supervised cross-modal retrieval due to its advantages in search and storage. However, there are still some issues to be addressed, e.g.: 1) how to effectively combine sample and label semantics to learn hash codes; 2) how to reduce high computational requirements brought by computing a pairwise similarity matrix; and 3) how to effectively solve discrete optimization problems. To cope wit…
Quasi Group Role Assignment With Agent Satisfaction in Self-Service Spatiotemporal Crowdsourcing
Quasi group role assignment (QGRA) presents a novel social computing model designed to address the burgeoning domain of self-service spatiotemporal crowdsourcing (SSC), specifically for tackling the photographing to make money problem (PMMP). Nevertheless, the application of QGRA in practical scenarios encounters a significant bottleneck. QGRA provides optimal assignment strategies under conditions where both the number of crowdsourced tasks and …
Robust Asymmetric Cross-Modal Hashing Retrieval With Dual Semantic Enhancement
As social media faces with large amounts of data and multimodal properties, cross-modal hashing (CMH) retrieval gains extensive applications with its high efficiency and low storage consumption. However, there are two issues that hinder the performance of the existing semantics-learning-based CMH methods: 1) there exist some nonlinear relationships, noises, and outliers in the data, which may degrade the learning effectiveness of a model; and 2) …
Iterative Role Negotiation via the Bilevel GRA++ With Decision Tolerance
Role negotiation (RN) is situated at the initial stage of the role-based collaboration (RBC) methodology and is independent of the subsequent agent evaluation and role assignment (RA) processes. RN is to determine the roles and the resource requirements for each role. In existing RBC-related research, RN is assumed to be static. This means that the roles and the resource requirements for each role are predetermined by decision-makers. However, th…
Parallel Tourism System With Foundation Models and Decentralized Autonomous Organizations
Tourism is a critical driver of economic growth and cultural exchange. However, traditional tourism models often struggle to address challenges such as insufficient understanding of diverse travel preferences, limited capacity for personalized services, and a lack of intelligent, convenient service solutions. In this paper, we propose a virtual‐real interactive Parallel Tourism System (PTS) and a Smart Tourism and Lifestyle Service Large Model (S…
Computer Science (7 works) · Artificial Intelligence (3 works) · Business (3 works) · Advanced Image and Video Retrieval Techniques (2 works) · Algorithm (2 works) · Crowdsourcing (2 works) · Double hashing (2 works) · Engineering (2 works) · Hash function (2 works) · Hash table (2 works)