Yang Zhou

ORCID: 0000-0003-3254-1285
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About
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Research Areas
  • Advanced Computational Techniques and Applications
  • Complex Network Analysis Techniques
  • Rough Sets and Fuzzy Logic
  • Sentiment Analysis and Opinion Mining
  • Advanced Decision-Making Techniques
  • Advanced Text Analysis Techniques
  • Mental Health via Writing
  • Image Processing and 3D Reconstruction
  • Evaluation Methods in Various Fields
  • Graph Theory and Algorithms
  • Opinion Dynamics and Social Influence
  • Data Mining Algorithms and Applications
  • Infant Health and Development
  • Digital Marketing and Social Media
  • Public Relations and Crisis Communication
  • Digital Media Forensic Detection
  • Blockchain Technology Applications and Security
  • Advanced Graph Neural Networks
  • Management and Marketing Education
  • Innovative Microfluidic and Catalytic Techniques Innovation
  • Grey System Theory Applications
  • Brain Tumor Detection and Classification
  • Generative Adversarial Networks and Image Synthesis
  • Web Data Mining and Analysis
  • Artificial Intelligence in Law

Nanjing Tech University
2024

Shanghai Institute of Microsystem and Information Technology
2022-2023

University of Chinese Academy of Sciences
2017-2023

Shanghai University
2023

Air Force Engineering University
2023

State Key Laboratory of Transducer Technology
2022-2023

Chinese Academy of Sciences
2022-2023

PLA Academy of Military Science
2021

Beijing Normal University
2012-2021

Institute of Psychology, Chinese Academy of Sciences
2016-2017

A growing number of sectors are delivering customer services powered by artificial intelligence (AI) instead humans, with evidence indicating labor cost reduction and efficiency improvement. However, it would be worthwhile to examine the extent which consumers satisfied AI service agents. In two studies based on an analysis 17,673 Weibo data (Study 1) 33 interviews 2), we constructed a pair theoretical models consumer attitudes toward services: sentiment model evaluation model. The results...

10.1089/cyber.2021.0155 article EN Cyberpsychology Behavior and Social Networking 2021-12-22

Growing interest in social events on media came along with the rapid development of Internet. Social that occur "real" world can spread (e.g., Sina Weibo) rapidly, which may trigger severe consequences and thus require government's timely attention responses. This article proposes to predict trends Weibo, is currently most popular China. Based theories psychology communication sciences, we extract an unprecedented amount comprehensive effective features relate Chinese media, construct...

10.1089/cyber.2017.0142 article EN Cyberpsychology Behavior and Social Networking 2017-09-01

In the era of big data, facilitating efficient data flow is paramount importance. Governments and enterprises worldwide have been investing in industry, promoting sharing trading. However, existing trading platforms often suffer from issues like privacy breaches, single points failure, tampering, non-transparent transactions due to their reliance on centralized servers. To address these challenges, blockchain-based transaction models proposed. lack system integrity fail fully meet user...

10.3390/electronics12244894 article EN Electronics 2023-12-05

Suicide is becoming a serious problem, and how to prevent suicide has become very important research topic. The development of Social Network System (SNS) provides an ideal platform monitor persons' suicidal ideation. Based on Sina microblog (Weibo), this paper proposes real-time monitoring system detecting users' From 59046 posts collected with labels either or non-suicide, we extract new features based content emotion. Finally, four different classifiers including Support Vector...

10.1109/smc.2017.8122599 article EN 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) 2017-10-01

10.2991/jrnal.k.210922.013 article EN Journal of Robotics Networking and Artificial Life 2021-01-01

이 연구의 목적은 중국 대학생이 지각한 피트니스센터의 서비스스케이프와 인적서비스품질이 센터이미지, 고객만족 그리고 충성도의 미치는 영향을 규명하는 것이다. 더 나아가 대학생 스포츠센터 소비자의 구매행동에 대한 기초자료를 확보하는데 의의가 있다. 대상은 대학생을 조사대상으로 선정하고 온라인 설문을 통해 330부를 수집하였으며, 최종 319부를 확보하였다. 수집된 자료를 활용하여 SPSS WIN Ver.22.0을 이용하여 빈도분석, 신뢰도분석을 실시하였으며, AMOS Ver. 22.0.을 확인적요인분석, 상관관계분석, 구조방정식모형분석을 실시하였다. 이에 따른 결과는 다음과 같다. 첫째, 서비스스케이프는 센터이미지에 유의한 것으로 나타났다. 둘째, 고객만족에 셋째, 인적서비스품질은 넷째, 다섯째, 센터이미지는 여섯째, 충성도에 일곱째, 고객만족은

10.21097/ksw.2024.5.19.2.99 article KO Journal of the Korean society for Wellness 2024-05-31

The experiment and evaluation of the performance electronic information equipment require a reasonable quantitative method. In this paper, theory gray correlation method is described applied to equipment. This paper screens seven indicators equipment, quantify subjective assessments on by AHP method, assigns weights indicators. adopted calculate evaluate four sets data derive results proving feasibility in field experiments evaluations.

10.1109/wcmeim54377.2021.00048 article EN 2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM) 2021-11-01

Information and communication industries has become one of the key among China's strategic emerging industry.We carry on research by taking international marketing network information industry as a complex network.We treat different enterprises constituting object, individual enterprise node, cooperation relationship edges, finally construct model.That can help new perspective strategy more suitable for development from both government corporate levels.

10.2991/icibet.2013.161 article EN cc-by-nc Proceedings of the 2013 International Conference on Information, Business and Education Technology (ICIBET 2013) 2013-01-01

The aim of unpaired image translation is to learn how transform images from a source target domain, while preserving as many domain-invariant features possible. Previous methods have not been able separate foreground and background well, resulting in texture being added the background. Moreover, these often fail distinguish different objects or parts same object. In this paper, we propose an attention-based generator (AG) that can redistribute weights visual features, significantly enhancing...

10.1109/iscc58397.2023.10218053 article EN 2022 IEEE Symposium on Computers and Communications (ISCC) 2023-07-09

To address the problems of low detection accuracy traditional smart contract vulnerability schemes and single type deep learning-based schemes, this paper proposes a scheme based on TextCNN attention mechanism. Firstly, word embedding is used to obtain vector representation operation codes, then vectors are input into extract sequential features. An mechanism assign different weights features highlight key Finally, normalization processing carried out through activation functions implement...

10.1109/imse61332.2023.00049 article EN 2023-09-08
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