World's Best Scientists 2026 revealed!

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Computer Science

D-Index
38
Citations
5943
World Ranking
10259
National Ranking
131

Overview

Zhiqi Shen is affiliated with Nanyang Technological University in Singapore and specializes in computer science with a focus on artificial intelligence. Their research spans multiple subfields including artificial intelligence, information systems, computer vision and pattern recognition, biomedical engineering, and transportation.

The scientist's work covers a variety of topics, among which are:

  • Recommender Systems and Techniques
  • Privacy-Preserving Technologies in Data
  • Advanced Graph Neural Networks
  • Human Mobility and Location-Based Analysis
  • Topic Modeling
  • Machine Learning and Data Classification
  • Time Series Analysis and Forecasting

Zhiqi Shen has published extensively, with recent papers including:

  • "Next POI Recommendation with Dynamic Graph and Explicit Dependency," 2023, Proceedings of the AAAI Conference on Artificial Intelligence
  • "FOCUS: Dealing with Label Quality Disparity in Federated Learning," 2020, arXiv (Cornell University)
  • "Research on mine vehicle tracking and detection technology based on YOLOv5," 2022, Systems Science & Control Engineering
  • "Dynamic Multi-Objective Optimization Framework With Interactive Evolution for Sequential Recommendation," 2023, IEEE Transactions on Emerging Topics in Computational Intelligence
  • "MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series," 2023, Proceedings of the AAAI Conference on Artificial Intelligence

Their frequent coauthors include Lizhen Cui, Zhiwei Zeng, Yong Liu, Yonghui Xu, and Chunyan Miao.

Publications from Zhiqi Shen commonly appear in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • International Journal of Crowd Science
  • Frontiers in Medicine
  • IEEE Transactions on Emerging Topics in Computational Intelligence

Best Publications

  • Balanced Distribution Adaptation for Transfer Learning

    Jindong Wang;Yiqiang Chen;Shuji Hao;Wenjie Feng

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

    Han Yu;Zhiqi Shen;Chunyan Miao;Cyril Leung

  • Blockchain and IoT based Food Traceability for Smart Agriculture

    Jun Lin;Zhiqi Shen;Anting Zhang;Yueting Chai

  • A Survey of Multi-Agent Trust Management Systems

    Han Yu;Zhiqi Shen;Cyril Leung;Chunyan Miao

  • Building ethics into artificial intelligence

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

  • Cross-people mobile-phone based activity recognition

    Zhongtang Zhao;Yiqiang Chen;Junfa Liu;Zhiqi Shen

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

    Haoming Zhong;Chunyan Miao;Zhiqi Shen;Yuhong Feng

  • Towards a trust aware cognitive radio architecture

    Tao Qin;Han Yu;Cyril Leung;Zhiqi Shen

  • Using Blockchain Technology to Build Trust in Sharing LoRaWAN IoT

    Jun Lin;Zhiqi Shen;Chunyan Miao

  • Implementation of Fuzzy Cognitive Maps Based on Fuzzy Neural Network and Application in Prediction of Time Series

    Hengjie Song;Chunyan Miao;W. Roel;Zhiqi Shen

  • Using blockchain to build trusted LoRaWAN sharing server

    Jun Lin;Zhiqi Shen;Chunyan Miao;Siyuan Liu

  • An Extension to Fuzzy Cognitive Maps for Classification and Prediction

    H J Song;C Y Miao;R Wuyts;Z Q Shen

  • Transformation of Cognitive Maps

    Yuan Miao;ChunYan Miao;XueHong Tao;ZhiQi Shen

  • Challenges and Opportunities for Trust Management in Crowdsourcing

    Han Yu;Zhiqi Shen;Chunyan Miao;Bo An

  • Balancing quality and budget considerations in mobile crowdsourcing

    Chunyan Miao;Han Yu;Zhiqi Shen;Cyril Leung

  • From Internet of Things to Internet of Agents

    Han Yu;Zhiqi Shen;Cyril Leung

  • Video-based human heart rate measurement using joint blind source separation

    Huan Qi;Zhenyu Guo;Xun Chen;Zhiqi Shen

  • On improving the conditioning of extreme learning machine: A linear case

    Guopeng Zhao;Zhiqi Shen;Chunyan Miao;Zhihong Man

  • KEMNAD: A Knowledge Engineering Methodology For Negotiating Agent Development

    Xudong Luo;Chunyan Miao;Nicholas R. Jennings;Minghua He

  • Goal oriented modeling for intelligent software agents

    Zhiqi Shen;Chunyan Miao;Xuehong Tao

  • FOCUS: Dealing with Label Quality Disparity in Federated Learning

    Yiqiang Chen;Xiaodong Yang;Xin Qin;Han Yu

Frequent Co-Authors

Chunyan Miao
Chunyan Miao Nanyang Technological University
Han Yu
Han Yu Nanyang Technological University
Cyril Leung
Cyril Leung University of British Columbia
Jun Lin
Jun Lin Chinese Academy of Sciences
Yiqiang Chen
Yiqiang Chen Chinese Academy of Sciences
Bo An
Bo An Nanyang Technological University
Ah-Hwee Tan
Ah-Hwee Tan Singapore Management University
Victor Lesser
Victor Lesser University of Massachusetts Amherst
Qiang Yang
Qiang Yang Hong Kong University of Science and Technology
Martin J. McKeown
Martin J. McKeown University of British Columbia

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