World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
72
Citations
21444
World Ranking
1672
National Ranking
30

Overview

Chunyan Miao is affiliated with Nanyang Technological University in Singapore and works primarily within the field of Computer Science. Their research encompasses a range of specialized subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications, and Electrical and Electronic Engineering.

The scientist's recent research contributions are documented in publications such as:

  • Federated Learning in Mobile Edge Networks: A Comprehensive Survey, 2020, IEEE Communications Surveys & Tutorials
  • EEG-Based Emotion Recognition Using Regularized Graph Neural Networks, 2020, IEEE Transactions on Affective Computing
  • A Full Dive Into Realizing the Edge-Enabled Metaverse: Visions, Enabling Technologies, and Challenges, 2022, IEEE Communications Surveys & Tutorials
  • Semantic Communications for Future Internet: Fundamentals, Applications, and Challenges, 2022, IEEE Communications Surveys & Tutorials
  • Towards Federated Learning in UAV-Enabled Internet of Vehicles: A Multi-Dimensional Contract-Matching Approach, 2021, IEEE Transactions on Intelligent Transportation Systems

Their frequent coauthors include Dusit Niyato, Zehui Xiong, Wei Yang Bryan Lim, Cyril Leung, and Jiawen Kang.

Chunyan Miao has contributed to notable publication venues such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Internet of Things Journal
  • IEEE Wireless Communications
  • ICC 2022 - IEEE International Conference on Communications

A book titled Federated Learning Over Wireless Edge Networks was published in 2022 by Springer International Publishing, credited to Chunyan Miao.

Their research topics include:

  • Privacy-Preserving Technologies in Data
  • Topic Modeling
  • Recommender Systems and Techniques
  • Advanced Graph Neural Networks
  • Multimodal Machine Learning Applications
  • Blockchain Technology Applications and Security
  • IoT and Edge/Fog Computing

Best Publications

  • Federated Learning in Mobile Edge Networks: A Comprehensive Survey

    Wei Yang Bryan Lim;Nguyen Cong Luong;Dinh Thai Hoang;Yutao Jiao

  • EEG-Based Emotion Recognition Using Regularized Graph Neural Networks

    Peixiang Zhong;Di Wang;Chunyan Miao

  • A Survey of Zero-Shot Learning: Settings, Methods, and Applications

    Wei Wang;Vincent W. Zheng;Han Yu;Chunyan Miao

  • Exploiting Geographical Neighborhood Characteristics for Location Recommendation

    Yong Liu;Wei Wei;Aixin Sun;Chunyan Miao

  • Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction.

    Yong Liu;Yong Liu;Min Wu;Chunyan Miao;Peilin Zhao

  • A Survey of Trust and Reputation Management Systems in Wireless Communications

    Han Yu;Zhiqi Shen;Chunyan Miao;Cyril Leung

  • 3D CNN Based Automatic Diagnosis of Attention Deficit Hyperactivity Disorder Using Functional and Structural MRI

    Liang Zou;Jiannan Zheng;Chunyan Miao;Martin J. Mckeown

  • Realizing the Metaverse with Edge Intelligence: A Match Made in Heaven

    Unknown

  • Personalized point-of-interest recommendation by mining users' preference transition

    Xin Liu;Yong Liu;Karl Aberer;Chunyan Miao

  • Towards Federated Learning in UAV-Enabled Internet of Vehicles: A Multi-Dimensional Contract-Matching Approach

    Wei Yang Bryan Lim;Jianqiang Huang;Zehui Xiong;Jiawen Kang

  • Optimal Electric Vehicle Fast Charging Station Placement Based on Game Theoretical Framework

    Yanhai Xiong;Jiarui Gan;Bo An;Chunyan Miao

  • Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations

    Peixiang Zhong;Di Wang;Chunyan Miao

  • A Survey of Multi-Agent Trust Management Systems

    Han Yu;Zhiqi Shen;Cyril Leung;Chunyan Miao

  • Dynamical cognitive network - an extension of fuzzy cognitive map

    Yuan Miao;Zhi-Qiang Liu;Chee Kheong Siew;Chun Yan Miao

  • Decentralized Edge Intelligence: A Dynamic Resource Allocation Framework for Hierarchical Federated Learning

    Wei Yang Bryan Lim;Jer Shyuan Ng;Zehui Xiong;Jiangming Jin

  • Building ethics into artificial intelligence

    Han Yu;Zhiqi Shen;Chunyan Miao;Cyril Leung;Cyril Leung

  • Online multimodal deep similarity learning with application to image retrieval

    Pengcheng Wu;Steven C.H. Hoi;Hao Xia;Peilin Zhao

  • Hierarchical Incentive Mechanism Design for Federated Machine Learning in Mobile Networks

    Wei Yang Bryan Lim;Zehui Xiong;Chunyan Miao;Dusit Niyato

  • Federated Learning in the Sky: Aerial-Ground Air Quality Sensing Framework With UAV Swarms

    Yi Liu;Jiangtian Nie;Xuandi Li;Syed Hassan Ahmed

  • Comparing the learning effectiveness of BP, ELM, I-ELM, and SVM for corporate credit ratings

    Haoming Zhong;Chunyan Miao;Zhiqi Shen;Yuhong Feng

  • Deep Model for Dropout Prediction in MOOCs

    Wei Wang;Han Yu;Chunyan Miao

  • Distilling Causal Effect of Data in Class-Incremental Learning

    Xinting Hu;Kaihua Tang;Chunyan Miao;Xian-Sheng Hua

Frequent Co-Authors

Zhiqi Shen
Zhiqi Shen Nanyang Technological University
Cyril Leung
Cyril Leung University of British Columbia
Han Yu
Han Yu Nanyang Technological University
Ah-Hwee Tan
Ah-Hwee Tan Singapore Management University
Bo An
Bo An Nanyang Technological University
Dusit Niyato
Dusit Niyato Nanyang Technological University
Yiqiang Chen
Yiqiang Chen Chinese Academy of Sciences
Qiang Yang
Qiang Yang Hong Kong University of Science and Technology
Zehui Xiong
Zehui Xiong Queen's University Belfast
Jun Lin
Jun Lin Chinese Academy of Sciences

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens doors to a variety of online degree options and career paths in related fields. Students seeking flexibility and affordability should consider programs such as an online degree for mechanical engineering, which delivers strong technical foundations with the convenience of remote study.

Those interested in the sciences might look at the best online physics degree programs, which combine theory and practical skills for various tech-focused roles. For students aiming for a data-driven career, the cheapest data science degree options make advanced analytics and machine learning education accessible and attainable.

Additionally, technology enthusiasts may pursue accredited online electrical engineering programs to broaden technical expertise and job prospects in high-demand sectors. Exploring these online degrees can help individuals align their education with evolving industry trends and unlock new, rewarding career pathways.

Best Scientists Citing Chunyan Miao

Trending Scientists