Yujia Chen

ORCID: 0000-0002-8662-7642
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About
Contact & Profiles
Research Areas
  • Sharing Economy and Platforms
  • Digital Marketing and Social Media
  • Video Surveillance and Tracking Methods
  • Biometric Identification and Security
  • Face recognition and analysis
  • Anomaly Detection Techniques and Applications
  • AI in Service Interactions
  • Rough Sets and Fuzzy Logic
  • Blockchain Technology Applications and Security
  • Diverse Aspects of Tourism Research
  • Imbalanced Data Classification Techniques
  • Auction Theory and Applications
  • Smart Grid and Power Systems
  • Transportation and Mobility Innovations
  • Energy, Environment, Economic Growth
  • Autonomous Vehicle Technology and Safety
  • Water Systems and Optimization
  • Smart Grid Energy Management
  • Software System Performance and Reliability
  • Image Enhancement Techniques
  • Image Processing Techniques and Applications
  • Consumer Behavior in Brand Consumption and Identification
  • Advanced Algorithms and Applications
  • Ergonomics and Musculoskeletal Disorders
  • Advanced Measurement and Detection Methods

Nankai University
2021-2023

Wuhan Institute of Technology
2023

Institute of Electrical Engineering
2023

Chinese Academy of Sciences
2023

University of Chinese Academy of Sciences
2023

Tongji University
2023

Tianjin University
2023

College of Tourism
2022

Haaga-Helia University of Applied Sciences
2022

Communication University of China
2022

10.1016/j.annals.2021.103156 article EN Annals of Tourism Research 2021-02-21

Purpose Given little light has been shed on the preference of Generation Z tourists or from different cultural backgrounds toward service robot in hospitality contexts, this study aims to explore preferences accommodation sector Chinese market, with a specific focus customers. Design/methodology/approach This followed an exploratory sequential research design including two qualitative methods (i.e. projective techniques and semistructured interviews) reach its objectives. Findings suggests...

10.1108/tr-02-2022-0095 article EN Tourism Review 2022-07-21

Occluded face detection is a challenging task due to the large appearance variations incurred by various real-world occlusions. This paper introduces an Adversarial Occlusion-aware Face Detector (AOFD) simultaneously detecting occluded faces and segmenting areas. Specifically, we employ adversarial training strategy generate occlusion-like features that are difficult for detector recognize. Occlusion predicted while area utilized as auxiliary instead of being regarded hindrance. Moreover,...

10.1109/btas.2018.8698572 preprint EN 2018-10-01

Peer-to-peer (P2P) energy trading refers to a type of decentralized transaction, where the from distributed resources is directly traded between peers. A key challenge in peer-to-peer designing safe, efficient, and transparent model operating mechanism. In this study, we consider P2P environment based on blockchain technology, prosumers can submit bids or offers without knowing reports others. We propose an Arrow-d'Aspremont-Gerard-Varet (AGV)-based mechanism encourage their real reserve...

10.1016/j.gloei.2023.02.003 article EN cc-by-nc-nd Global Energy Interconnection 2023-02-01

Occluded face detection is a challenging task due to the large appearance variations incurred by various real-world occlusions. This paper introduces an Adversarial Occlusion-aware Face Detector (AOFD) simultaneously detecting occluded faces and segmenting areas. Specifically, we employ adversarial training strategy generate occlusion-like features that are difficult for detector recognize. Occlusion mask predicted while area utilized as auxiliary instead of being regarded hindrance....

10.48550/arxiv.1709.05188 preprint EN other-oa arXiv (Cornell University) 2017-01-01

Implementing artificial intelligence enables the travel industry to improve efficiency, attract customers, and enhance their experiences. However, typically biased social perceptions of humans are now applied intelligence, which has reinforced its female gendering in industry. Nevertheless, mechanism process remains unclear. Guided by gender theory, this study explored how is constructed through interaction perspective. Sixteen respondents who interacted with service robots or virtual...

10.1080/1528008x.2023.2275263 article EN Journal of Quality Assurance in Hospitality & Tourism 2023-10-26

Societal concerns in ethnic minority areas are global issues. Paying close attention to the equitable allocation of social resources an aging population is crucial preserving cultural diversity and stability multi-ethnic countries. This study took a city-Kunming (KM), China-as example. The comprehensive service level elderly care institutions at township (subdistrict) scale were evaluated discuss equity facility allocation. revealed that overall convenience was low. coupling coordination...

10.3390/ijerph20043291 article EN International Journal of Environmental Research and Public Health 2023-02-13

Population aging is one of the biggest demographic challenges facing China in 21st century. Its impact on economy cannot be ignored. This study employs empirical research to illustrate how population affects China's economic development. It mainly explained from perspectives labor force, savings rate, GDP, and pension insurance participation. According relevant data definition standard United Nations society, 2002 2020 are selected for analysis. The conclusion obtained through ADF test,...

10.54097/ehss.v16i.9495 article EN cc-by-nc Journal of Education Humanities and Social Sciences 2023-07-02

The platform economy has generated new business models and employment types, posing challenges to China’s labour law social security law. This article collects 324 cases between 2017 2020 in which Chinese courts need determine the status of food delivery riders as workers. paper focuses on whether ‘special riders’ under agent model ‘crowdsourced crowdsourcing are identified employees these analyse relevant factors considered by judges when they make decisions. More than half hold that...

10.1080/10192557.2023.2233222 article EN Asia Pacific Law Review 2023-07-18

The flexible bimodal e-skin exhibits significant promise for integration into the next iteration of human-computer interaction, owing to tactile and proximity perception. However, those challenges such as low sensitivity, complex fabrication processes, incompatibility with interactions have restricted widespread adoption e-skin. Herein, a capacitive capable simultaneous sensing has been developed. entire process eliminates intricate techniques, employing DLP-3D printing electrode layers...

10.2139/ssrn.4635709 preprint EN 2023-01-01

Given the limited tourist capacity for each listing and frequent introduction of new properties, booking decisions in peer-to-peer accommodations inherently involve uncertainty due to incomplete information available tourists. However, psychological mechanism underlying customers’ such remains unclear. This study confirms that presence inference stimuli can enhance tourists’ intentions a property without essential information. Furthermore, this finds decision confidence mediates effect on...

10.1080/1528008x.2023.2291101 article EN Journal of Quality Assurance in Hospitality & Tourism 2023-12-04

In many situations, classes of data points primary interest also happen to be those that are least numerous. A well-known example is detection fraudulent transactions among the collection all financial transactions, vast majority which legitimate. These types problems fall under label `rare-category detection.' There two challenging aspects these problems. The first a general lack labeled examples rare class and second potential non-separability from (in terms available features). Statistics...

10.48550/arxiv.1901.10585 preprint EN other-oa arXiv (Cornell University) 2019-01-01

In many situations, classes of data points primary interest also happen to be those that are least numerous. A well-known example is detection fraudulent transactions among the collection all financial transactions, vast majority which legitimate. These types problems fall under label 'rare-category detection.' There two challenging aspects these problems. The first a general lack labeled examples rare class and second potential non-separability from (in terms available features). Statistics...

10.1109/icmla.2019.00052 article EN 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) 2019-12-01

There are many object detection methods in terms of recognition based on traditional methods, but they not sufficient to meet the demand for accuracy and speed real-life scenarios. And compared with mobile platform, cloud service is also conducive use practical Therefor we optimize YOLO (You Only Look Once, a method real-time objects) algorithm through renormalization processing, build Chinese road sign dataset perform random affine transformation, blur, brightness transformation processing...

10.1117/12.2574416 article EN 2020-06-24

Developers often need to decide which APIs use for the functions being implemented. With ever-growing number of and libraries, it becomes increasingly difficult developers find appropriate APIs, indicating necessity automatic API usage recommendation. Previous studies adopt statistical models or collaborative filtering methods mine implicit patterns However, they rely on occurrence frequencies mining patterns, thus prone fail low-frequency APIs. Besides, prior generally regard call...

10.48550/arxiv.2208.01971 preprint EN other-oa arXiv (Cornell University) 2022-01-01

This paper takes Ziwu Village in Huangshan City, Anhui Province as an example, and relies on the local tea plantation to create special brand "Ziwu Tea", explores role of regional branding rural revitalization. The gives overview market prospect branding, analyzes current situation tourism competition Province, proposes scheme "Zi Cha". Finally, details positioning target brand, providing a model for China's

10.25236/ajbm.2022.041814 article EN Academic Journal of Business & Management 2022-01-01

The meteorological landscape has always been the main selling point for some destinations, but uncertain supply of also poses challenges destination management. Little is known about visitors’ emotional and behavioral tendencies elicited by this uncertainty under viewing; therefore, it critical academics practitioners to understand changes after viewing experience strategize marketing plans improve revisit intention. Grounded upon cognitive appraisal theory, study conducted in-depth...

10.1177/10963480221142500 article EN Journal of Hospitality & Tourism Research 2022-12-15
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