World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
5245
World Ranking
13050
National Ranking
1596

Overview

Dingqi Yang is affiliated with the University of Macau in China and has contributed extensively to research in computer science and social sciences, with a particular focus on artificial intelligence, transportation, and their applications. Their body of work includes 52 publications in computer science and 28 in social sciences, reflecting a multidisciplinary approach.

Their research spans several subfields, including:

  • Artificial Intelligence
  • Transportation
  • Statistical and Nonlinear Physics
  • Computer Science Applications
  • Building and Construction

The main topics explored in their work cover areas such as:

  • Human Mobility and Location-Based Analysis
  • Complex Network Analysis Techniques
  • Mobile Crowdsensing and Crowdsourcing
  • Traffic Prediction and Management Techniques
  • Advanced Graph Neural Networks
  • Urban Transport and Accessibility
  • Topic Modeling

Dingqi Yang has published frequently in a variety of venues, including:

  • arXiv (Cornell University)
  • IEEE Transactions on Knowledge and Data Engineering
  • IEEE Transactions on Mobile Computing
  • Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • ACM Transactions on Intelligent Systems and Technology

Their recent papers include:

  • "LBSN2Vec++: Heterogeneous Hypergraph Embedding for Location-Based Social Networks," 2020, IEEE Transactions on Knowledge and Data Engineering
  • "Towards Robust Task Assignment in Mobile Crowdsensing Systems," 2022, IEEE Transactions on Mobile Computing
  • "Data-Driven C-RAN Optimization Exploiting Traffic and Mobility Dynamics of Mobile Users," 2020, IEEE Transactions on Mobile Computing
  • "Sparse Mobile Crowdsensing With Differential and Distortion Location Privacy," 2020, IEEE Transactions on Information Forensics and Security
  • "A Survey on Hypergraph Representation Learning," 2023, ACM Computing Surveys

Dingqi Yang frequently collaborates with a number of researchers, including:

  • Bingqing Qu
  • Philippe Cudré-Mauroux
  • Bangchao Deng
  • Liang Wang
  • Zhiwen Yu

Best Publications

  • Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs

    Dingqi Yang;Daqing Zhang;Vincent W. Zheng;Zhiyong Yu

  • Participatory Cultural Mapping Based on Collective Behavior Data in Location-Based Social Networks

    Dingqi Yang;Daqing Zhang;Bingqing Qu

  • Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach

    Dingqi Yang;Bingqing Qu;Jie Yang;Philippe Cudre-Mauroux

  • A sentiment-enhanced personalized location recommendation system

    Dingqi Yang;Daqing Zhang;Zhiyong Yu;Zhu Wang

  • Dynamic cluster-based over-demand prediction in bike sharing systems

    Longbiao Chen;Daqing Zhang;Leye Wang;Dingqi Yang

  • CCS-TA: quality-guaranteed online task allocation in compressive crowdsensing

    Leye Wang;Daqing Zhang;Animesh Pathak;Chao Chen

  • Location Privacy-Preserving Task Allocation for Mobile Crowdsensing with Differential Geo-Obfuscation

    Leye Wang;Dingqi Yang;Xiao Han;Tianben Wang

  • Location Prediction over Sparse User Mobility Traces Using RNNs: Flashback in Hidden States!

    Dingqi Yang;Benjamin Fankhauser;Paolo Rosso;Philippe Cudre-Mauroux

  • NationTelescope: Monitoring and visualizing large-scale collective behavior in LBSNs

    Dingqi Yang;Dingqi Yang;Daqing Zhang;Longbiao Chen;Bingqing Qu

  • Discovering and Profiling Overlapping Communities in Location-Based Social Networks

    Zhu Wang;Daqing Zhang;Xingshe Zhou;Dingqi Yang

  • Bike sharing station placement leveraging heterogeneous urban open data

    Longbiao Chen;Daqing Zhang;Gang Pan;Xiaojuan Ma

  • Beyond Triplets: Hyper-Relational Knowledge Graph Embedding for Link Prediction

    Paolo Rosso;Dingqi Yang;Philippe Cudré-Mauroux

  • Are Meta-Paths Necessary?: Revisiting Heterogeneous Graph Embeddings

    Rana Hussein;Dingqi Yang;Philippe Cudré-Mauroux

  • Sparse Mobile Crowdsensing With Differential and Distortion Location Privacy

    Leye Wang;Daqing Zhang;Dingqi Yang;Brian Y. Lim

  • Fine-grained preference-aware location search leveraging crowdsourced digital footprints from LBSNs

    Dingqi Yang;Daqing Zhang;Zhiyong Yu;Zhiwen Yu

  • Differential Location Privacy for Sparse Mobile Crowdsensing

    Leye Wang;Daqing Zhang;Dingqi Yang;Brian Y. Lim

  • SPACE-TA: Cost-Effective Task Allocation Exploiting Intradata and Interdata Correlations in Sparse Crowdsensing

    Leye Wang;Daqing Zhang;Dingqi Yang;Animesh Pathak

  • Deep mobile traffic forecast and complementary base station clustering for C-RAN optimization

    Longbiao Chen;Longbiao Chen;Dingqi Yang;Daqing Zhang;Cheng Wang

  • Privacy-Preserving Social Media Data Publishing for Personalized Ranking-Based Recommendation

    Dingqi Yang;Bingqing Qu;Philippe Cudre-Mauroux

  • CrimeTelescope: crime hotspot prediction based on urban and social media data fusion

    Dingqi Yang;Terence Heaney;Alberto Tonon;Leye Wang

  • LBSN2Vec++: Heterogeneous Hypergraph Embedding for Location-Based Social Networks

    Dingqi Yang;Bingqing Qu;Jie Yang;Philippe Cudre-Mauroux

Frequent Co-Authors

Daqing Zhang
Daqing Zhang Peking University
Philippe Cudré-Mauroux
Philippe Cudré-Mauroux University of Fribourg
Zhiwen Yu
Zhiwen Yu Northwestern Polytechnical University
Leye Wang
Leye Wang Peking University
Bin Guo
Bin Guo Northwestern Polytechnical University
Gang Pan
Gang Pan Zhejiang University
Cheng Wang
Cheng Wang Xiamen University
Huadong Ma
Huadong Ma Beijing University of Posts and Telecommunications
Zheng Yan
Zheng Yan Xidian University
Tian Wang
Tian Wang Beijing Normal University

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