Fei‐yue Wang
Biographic Data
| ID | 4414482 |
|---|---|
| NAME | Fei‐yue Wang |
| GIVEN NAMES | Fei‐yue |
| FAMILY NAME | Wang |
| SIGNATURE | WANG F Y |
| AFFILIATIONS | Chinese Academy of Sciences |
| ORCID | 0000-0001-9185-3989 |
| VERIFIED | Yes |
| TOTAL WORKS | 97 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 97 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1996 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Parallel Nursing
LLM-Driven Cognitive Modeling for Personalized Travel Generation
Traditional cognitive travel modeling typically employs a unified cognitive model to simulate representative travel behaviors, which may usually result in a weak characterization of user heterogeneity in paths, modes, and other factors. Large language model (LLM), by contrast, has significantly enhanced the anthropomorphic and personalized features of intelligent systems. To integrate their advantages, this article proposes LLM-driven cognitive m…
RAG-Based Crowdsourcing Task Decomposition via Masked Contrastive Learning With Prompts
Crowdsourcing is a critical technology in social manufacturing, which leverages an extensive and boundless reservoir of human resources to handle a wide array of complex tasks. The successful execution of these complex tasks relies on task decomposition (TD) and allocation, with the former being a prerequisite for the latter. Recently, pretrained language models-based methods have garnered significant attention. However, they are constrained to h…
Opposing Stance in Topic Evolution
In February 2024, Lionel Messi's absence from a Hong Kong exhibition match ignited extensive debate across social media platforms, capturing the attention of the public and sparking controversies that extended into realms such as business partnerships and diplomatic implications. This incident not only reflects the public's reaction and pattern of stance changes toward such a complex Incident but also significantly demonstrates the close connecti…
The ParallelWorkforce
Aiming to boost production efficiency and reduce human workload, human-centricity has emerged as the core concept of Industry 5.0 (I5.0). However, current works have not established a unified automation and autonomous framework for human-centric smart manufacturing across various real world applications. Addressing this gap, this research introduces an innovative automated framework, ParallelWorkforce, which integrates blockchain intelligence and…
Federated Service for Semantic Misalignment in Supply–Demand Matching
As digital transformation accelerates, data has become a core driver of technological innovation and economic growth. However, a key challenge in data utilization is the semantic misalignment between data supply and the demands of business scenarios. This misalignment significantly hinders efficient data flow and collaborative utilization. To address this issue, this article proposes a federated service solution integrating blockchain and decentr…
Consistency and Controversy Analysis in the Hype of Room-Temperature Superconductivity
Room-temperature superconductors (esp. LK-99 in the recent) have attracted extensive academic attention in recent years, both in academic circles and among the general public. This topic has spread through a number of social media channels, a plethora of contradiction in information has emerged within social networks. There arises the question on how to analyze the consistency and controversy of such scientific knowledge in the dissemination proc…
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…
Effects of 6E-Based STEM Activities in Increasing Primary School Students’ Creativity
Enlarge the Error Prediction Dataset in 3-D Printing
The quality of the dataset is critical to the performance of neural networks for error prediction in 3-D printing. In order to enlarge the dataset, we propose a customized two-stage framework, cascaded cross-modality generative adversarial networks (CCMGANs), for generating dental crown meshes in an unsupervised manner. At the first stage, a displacement map-guided generative adversarial network (GAN) is used to generate coarse meshes with divers…
ICyberGuard
Social manufacturing has significantly advanced the industrial Internet of Things (IIoT), integrating information technology and operation technology to enhance production efficiency and quality, and to foster new business models. This integration, however, introduces novel risks, including advanced persistent threats, which demand robust security measures to safeguard IIoT systems. This article proposes an iCyberGuard game model, tailored for II…
Coordinated Rescheduling of Train Timetable and Crew Scheme for Passenger-Freight Collinear Railway
On a passenger-freight collinear railway, the freight train operation level is comparatively low, frequently resulting in significant deviations from the original timetable and crew plan in the presence of various interferences. This article focuses on the problem of coordinated rescheduling of train timetable and crew scheme in the presence of disruptions on a double-track passenger-freight collinear railway. We develop a mixed-integer linear pr…
Viea
With the acceleration of economic globalization, a large amount of research studies have been conducted for the exploration of industrial economics. In the visualization community, common visualization tools present potential features of industrial economics. They hardly meet the various and complex user requirements for insightful analysis and decision-making. In this article, we design VIEA, a web-based visualization system that integrates a ri…
Dag-Block
With the rapid development of blockchain technology and industries, scalability has been widely realized as one of the primary and urgent concerns for the large-scale adoption of blockchain, especially for cryptocurrencies. In this respect, directed acyclic graph (DAG) proves to be an elegant solution to scaling blockchain but suffers from weak consistency and security issues. In this article, we designed a novel DAG-BLOCK architecture for blockc…
ArtCap
The image captioning of fine art paintings aims at generating content descriptions for the paintings. Due to the complexity of modeling both image and language, this task usually needs sufficient training data. However, different from photographic image captioning, there are few satisfactory datasets for painting captioning. In this article, we introduce a painting captioning dataset (named the ArtCap dataset), which contains 3606 paintings and f…
Modeling Digital Personality
Digital human in cyberspace can help provide humanized services in specific applications, such as question & answer systems, recommender systems, chatter robots, and intelligent assistants. While most researches focus on behavior analytics, few of them integrate the personality that is also a closely related factor. As a classic indicator for personality representation, Myers–Briggs type indicator (MBTI) categorizes an individual into mutually ex…
When Blockchain Meets Auction
Recent years have witnessed remarkable developments and increasingly deepened integrations between blockchain as a decentralized computing architecture and auction as an efficient resource allocation approach. Typically, blockchain can help provide a secured and trusted distributed environment for various auction scenarios, while auction is particularly suitable for designing resource allocation and pricing mechanisms in blockchain systems. As su…
Integration of Train Regulation and Speed Profile Optimization Based on Feature Learning and Hybrid Search Algorithm
The independent hierarchy of train dispatching command and train operation control in the existing urban rail transit systems restricts the improvement of operational efficiency and emergency handling capability. This article focuses on integrating train regulation and speed profile optimization by utilizing a feature learning and hybrid search algorithm. Specifically, a genetic algorithm (GA) is used to optimize the train speed profile for a fix…
Smart Management of Sand-Breaking Systems for Taklimakan SandSea Highway
The planning, construction, and maintenance of sand-breaking systems around highway in Taklimakan SandSea mainly depend on expert's empirical knowledge, and face the problems of time-consuming management, unpredictable system performance, and few available data. This work proposes a management and control method of sand-breaking systems that follows artificial system, computational experiments, and parallel execution (ACP) theory. Expert knowledg…
Geometry-Guided Neural Implicit Surface Reconstruction
Multiview 3-D reconstruction holds considerable promise across a wide applications in social manufacturing. Conducting in-depth research on precise and robust multiview 3-D reconstruction holds the potential to significantly empower the domain of social manufacturing. Recently, there has been a burgeoning interest in the domain of neural implicit surfaces learning through volume rendering for the purpose of multiview reconstruction without 3-D su…
Conversational Crowdsensing in the Age of Industry 5.0
The transition from cyber-physical-system-based (CPS-based) Industry 4.0 to cyber-physical-social-system-based (CPSS-based) Industry 5.0 brings new requirements and opportunities to current sensing approaches, especially in light of recent progress in large language models (LLMs) and retrieval augmented generation (RAG). Therefore, the advancement of parallel intelligence powered crowdsensing intelligence (CSI) is witnessed, which is currently ad…
A New Perspective for Computational Social Systems
The evolution of modern mobile terminals, social networks, and other intelligent services makes everyone become a ubiquitous information perceiver, producer, and propagator. Also known as “social sensor” and “social IoT,” these individuals and communities generate a huge volume of social signals, which has shown prominent value for mining. These unstructured social signals provide a new perspective in the research of complex systems, which makes …
An Urban Trajectory Data-Driven Approach for Covid-19 Simulation
The coronavirus disease 2019 (COVID-19) pandemic has changed the world deeply. Urban trajectory big data collected by wireless sensing devices provide great assistance for COVID-19 prevention. However, except for contact tracing, trajectory data are rarely employed in other preventative scenarios against the pandemic. In this article, we try to extend the application of trajectories auto-collected by wireless sensing devices and simulate the epid…
Metacracy
Computational Experiments for Complex Social Systems—Part III
Powered by advanced information technology, more and more complex systems are exhibiting characteristics of the cyber–physical–social systems (CPSS). In consideration of the cost, legal, and institutional constraints on the study of CPSS in real world, computational experiments have emerged as a new method for quantitative analysis of CPSS. However, with the increase of application scenarios, how to map complex and diverse domain models to artifi…
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Chemical composition of river particulates in eastern China
The exact and unique solution for phase-lead and phase-lag compensation
Phase-lead and -lag compensation is one of the most commonly used techniques for designing control systems in the frequency domain, especially when the Bode diagram or root locus is used. In most cases, the graphic-based approximation or trial-and-error approach has been utilized in the design process. This paper presents the exact and unique solution to the design of phase-lead and phase-lag compensation when the desired gains in the magnitude a…
Hybrid Agent Modeling in Population Simulation
Agent based population is fundamental to the micro-simulation of various dynamic urban eco- and social systems. This paper surveys the basic theories and methods of hybrid agent modeling in population simulation emerged recent years. We first introduce the framework of this hybrid agent based population generation. The current approaches of initial database synthesis including sample based and sample free methods are then discussed in detail, fol…
Population Synthesis Based on Joint Distribution Inference Without Disaggregate Samples
Synthetic population is a fundamental input to dynamic micro-simulation in social applications. Based on the review of current major approaches, this paper presents a new sample-free synthesis method by inferring joint distribution of the total target population. Convergence of multivariate Iterative Proportional Fitting used in our method is also proved theoretically. The method, together with other major ones, is applied to generate a nationwid…
Social Computing
Welcome to the fourth issue of the IEEE Transactions on Computational Social Systems (TCSS), which includes 16 regular papers and a brief discussion on social computing. We would also like to inform you that IEEE will conduct its regular 5-year review for TCSS at its TAB meeting in November at Boston. Any suggestions for our review report are welcome
Parallel Emergency
Welcome to the second issue of IEEE Transactions on Computational Social Systems (TCSS) this year. First of all, I would like to report that, as of this March, the CiteScore of TCSS has reached to 5.15, a historic high, especially considering the fact that the numbers of published articles had increased significantly in the last two years. Congratulations and thanks to all of you, for your professional support and dedication
Parallel Societies
Welcome to the first issue of the IEEE Transactions on Computational Social Systems (TCSS) of 2020, and Happy New Year to You! We would like to take this opportunity to express our sincere thanks to our editors, reviewers, authors, and readers for your great support and effort devoted to the TCSS, along with our best wish and hope that everyone has a happy, healthy, and fruitful 2020
Parallel Healthcare
Welcome to the new issue of the IEEE Transactions on Computational Social Systems (TCSS). I am grateful to report that, as of April 9, 2020,the Citescore of TCSS has reached to 5.26, a new high. Many thanks to all of you for your great effort and support
Parallel Economics
Welcome to the new issue of IEEE Transactions on Computational Social Systems (TCSS). First, I would like to share the news of my resignation from the position of Editor-in-Chief (EiC) due to my new position as the Vice President (VP) for Human Machine Systems of the IEEE Systems, Man, and Cybernetics Society (SMCS). SMCS requires its Transactions EiC to have no membership in its Executive Committee or Board of Governors (BoG). In 2017, I offered…
Parallel Intelligence
Welcome to the new issue of IEEE Transactions on Computational Social Systems (TCSS). First of all, on behalf of the Board of Governors and Prof. Enrique Herrera Viedma, Vice President for Publication, of the IEEE SMCS, I would like to announce and introduce the new Editor-in-Chief of the IEEE TCSS, Prof. Bin Hu, our Associate Editor since 2017 and a member of BoG since 2018. Currently, Bin Hu is the Director of the Gansu Provincial Key Laborator…
Optimal Block Withholding Strategies for Blockchain Mining Pools
In proof-of-work (PoW) consensus protocol-based blockchain mining, the pools can increase their rewards by utilizing block withholding attack. As such, how much computational power should be used to attack other pools becomes an important decision issue faced by the pools. This article mainly studies the block withholding attack issue faced by mining pools. Considering the case that there are two pools, where only one pool can attack the other po…
Parallel Ecology for Intelligent and Smart Cyber–Physical–Social Systems
Welcome to the last issue of IEEE Transactions on Computational Social Systems (TCSS) this year. This is also the last time I am serving as the Editor-in-Chief of this great journal, and I would like to take this opportunity to thank you all for your great help and support during the last three and half years. A special thank must go to my “Executive Editorial Task Force”: Professor Yong Yuan of People's University of China; Drs. Rui Qin, Xiao Wa…
Pedestrian Choice Modeling and Simulation of Staged Evacuation Strategies in Daya Bay Nuclear Power Plant
Considering the distances to exits, exits' capacities, the sizes of queues at exits, distances to the nuclear power plant, as well as individual characteristics, the exit choice model for pedestrians in the plume planning area is established based on a random forest model. This model is trained and verified with the survey data of residents around the Daya Bay Nuclear Power Plant collected from a serious game-based questionnaire system. Combining…
Blockchain-Based Knowledge Automation for CPSS-Oriented Parallel Management
Traditional organization management typically follows a top-down pyramid structure, which is widely believed to have many problems in releasing innovation potentials. In the new era of intelligent technologies, knowledge automation is required to meet the urgent demand for rapid acquisition and application of knowledge. With the rapidly deepened integration of the real world and the virtual society, cyber-physical-social system (CPSS)-oriented pa…
A Personalized Learning System for Parallel Intelligent Education
Technological advancement has given education a new definition-parallel intelligent education-resulting in fundamentally new ways of teaching and learning. This article exemplifies an important component of parallel intelligent education-artificial education system in a narrative game environment to offer personalized learning. The system collects data on the player's actions while they play, assessing their concept knowledge via k-nearest-neighb…
Characterizing the Propagation of Situational Information in Social Media During Covid-19 Epidemic
During the ongoing outbreak of coronavirus disease (COVID-19), people use social media to acquire and exchange various types of information at a historic and unprecedented scale. Only the situational information are valuable for the public and authorities to response to the epidemic. Therefore, it is important to identify such situational information and to understand how it is being propagated on social media, so that appropriate information pub…
Donald J. Trump’s Presidency in Cyberspace
In the past few years, with the rapid growth of digital technologies, Facebook, Twitter, and other social media platforms have become the digital oligarchies, which have the enormous capabilities to potentially control what is discussed in cyberspace. In the digital oligarchy era, social perception and social influence in different complex social systems have evolved quickly. In this article, we conducted large-scale empirical studies on social p…
Social Signal-Driven Knowledge Automation
Urban transportation systems are shaped by factors that include people, vehicles, roads, and the environment, forming a complex and giant system with dynamics, diversity, and uncertainty. Physical signal-driven intelligent transportation systems (ITSs) typically lack the ability to capture social behaviors or crowd willingness, and they achieve only information automation for transportation decision support. The crowdsourcing social signals consi…
Federated Ecology
Welcome to the second issue of IEEE Transactions on Computational Social Systems (TCSS) this year. First, I am grateful to report that, as of February 7, 2021, the Citescore of TCSS has leapfrogged back to 5.8, a new high, which indicates the high quality and relevance of IEEE TCSS in the field of social computing and computational social systems research. Many thanks to all of you for your great effort and support
Nonfungible Tokens
Welcome to the fifth issue of Ieee Transactions on Computational Social Systems (TCSS) of 2021. As usual, we would like to share some great news first. Since April 2021, IEEE TCSS has been added to the Science Citation Index Expanded (SCIE) database in Clarivate Web of Science. We are excited to report that all TCSS articles published since 2018 have been backtracked and indexed by SCIE
Federated Management
Welcome to the last issue of IEEE Transactions on Computational Social Systems (IEEE TCSS) in 2021. For IEEE TCSS, 2021 is an exciting year. TCSS has been added to the ISI Web of Science Sources Citation Index Expanded (SCIE) database in 2021, and all articles published since 2018 have been indexed by SCIE. This is an important milestone in the development of TCSS. We would like to take this opportunity to thank and congratulate everyone for thei…
Federated Data
Federated ecology can provide an effective solution forthe serious isolated data island issues caused by data privacy protection and information security requirements in the era of artificial intelligence (AI). As the data foundation of federated ecology, federated data include the data of all the nodes in the federation, as wellas their storage, computation, and communication resources. For privacy-preserving, federated data are divided into pri…
Federated Control
Welcome to the fourth issue of IEEE Transactions on Computational Social Systems (TCSS) this year. I am excited to share some great news
An IVC-Based Nuclear Emergency Parallel Evacuation System
Nuclear emergency evacuation is challenging and dangerous, with time constraints, resource limitations, and radiation exposure risks. The development of the Internet of Things (IoT) and artificial intelligence enables us to build an intelligent evacuation system to help mitigate this problem a great deal. In this article, we design the nuclear emergency parallel evacuation system based on the artificial systems (A), computational experiments (C),…
Parallel Philosophy for MetaOrganizations With MetaOperations
Welcome to the third issue of IEEE Transactions on Computational Social Systems (TCSS) of 2022. According to the latest update of CiteScoreTracker from Elsevier Scopus released on April 6, 2022, the CitesSore of IEEE TCSS has reached a historical high of 8.4. Many thanks to all for your great effort and support
Computer Science (87 works) · Artificial Intelligence (41 works) · Engineering (33 works) · Computer security (31 works) · Data science (19 works) · World Wide Web (16 works) · Blockchain Technology Applications and Security (15 works) · Mathematics (15 works) · Political science (15 works) · Business (12 works)