World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
82
Citations
27259
World Ranking
960
National Ranking
141

Electronics and Electrical Engineering

D-Index
74
Citations
22711
World Ranking
707
National Ranking
110

Overview

Yong Li is affiliated with Tsinghua University in China and has an extensive publication record in the domains of computer science and engineering. Their research output spans 560 publications in computer science and 308 in engineering, highlighting a multidisciplinary approach to technological challenges.

Their work has delved into a variety of subfields including artificial intelligence, transportation, computer networks and communications, computer vision and pattern recognition, and information systems.

  • Artificial Intelligence
  • Transportation
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Information Systems

Yong Li's research topics reflect a focus on complex systems and data-driven applications. The main topics covered in their work are human mobility and location-based analysis, recommender systems and techniques, traffic prediction and management techniques, advanced graph neural networks, topic modeling, privacy-preserving technologies in data, and caching and content delivery.

  • Human Mobility and Location-Based Analysis
  • Recommender Systems and Techniques
  • Traffic Prediction and Management Techniques
  • Advanced Graph Neural Networks
  • Topic Modeling
  • Privacy-Preserving Technologies in Data
  • Caching and Content Delivery

Several recent publications by Yong Li exemplify their engagement with graph neural networks, traffic prediction, and computer vision methodologies:

  • A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions (2023), ACM Transactions on Recommender Systems
  • Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution (2022), ACM Transactions on Knowledge Discovery from Data
  • Scene Segmentation With Dual Relation-Aware Attention Network (2020), IEEE Transactions on Neural Networks and Learning Systems
  • Graph Neural Networks for Recommender System (2022), Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining
  • Latency Minimization for D2D-Enabled Partial Computation Offloading in Mobile Edge Computing (2020), IEEE Transactions on Vehicular Technology

Frequent co-authors of Yong Li include Depeng Jin, Chen Gao, Huandong Wang, Fengli Xu, and Tong Li, indicating collaboration across a network of researchers.

  • Depeng Jin
  • Chen Gao
  • Huandong Wang
  • Fengli Xu
  • Tong Li

Their research has been disseminated through various prominent publication venues, such as arXiv, ACM Transactions on Intelligent Systems and Technology, ACM Transactions on Knowledge Discovery from Data, SSRN Electronic Journal, and IEEE Transactions on Knowledge and Data Engineering.

  • arXiv (Cornell University)
  • ACM Transactions on Intelligent Systems and Technology
  • ACM Transactions on Knowledge Discovery from Data
  • SSRN Electronic Journal
  • IEEE Transactions on Knowledge and Data Engineering

Yong Li has also contributed to book publications, notably with Springer Science+Business Media. Among the titles is Geoinformatics in Sustainable Ecosystem and Society, published in 2020.

Best Publications

  • A survey of millimeter wave communications (mmWave) for 5G: opportunities and challenges

    Yong Niu;Yong Li;Depeng Jin;Li Su

  • Vehicular Fog Computing: A Viewpoint of Vehicles as the Infrastructures

    Xueshi Hou;Yong Li;Min Chen;Di Wu

  • DeepMove: Predicting Human Mobility with Attentional Recurrent Networks

    Jie Feng;Yong Li;Chao Zhang;Funing Sun

  • Software-Defined Network Function Virtualization: A Survey

    Yong Li;Min Chen

  • System architecture and key technologies for 5G heterogeneous cloud radio access networks

    Mugen Peng;Yong Li;Zhongyuan Zhao;Chonggang Wang

  • Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution

    Fuxian Li;Jie Feng;Huan Yan;Guangyin Jin

  • Sequential Recommendation with Graph Neural Networks

    Jianxin Chang;Chen Gao;Yu Zheng;Yiqun Hui

  • Wearable 2.0: Enabling Human-Cloud Integration in Next Generation Healthcare Systems

    Min Chen;Yujun Ma;Yong Li;Di Wu

  • Multi-behavior Recommendation with Graph Convolutional Networks

    Bowen Jin;Chen Gao;Xiangnan He;Depeng Jin

  • Software-Defined and Virtualized Future Mobile and Wireless Networks: A Survey

    Mao Yang;Yong Li;Depeng Jin;Lieguang Zeng

  • Security and Privacy in Device-to-Device (D2D) Communication: A Review

    Michael Haus;Muhammad Waqas;Aaron Yi Ding;Yong Li

  • Disentangling User Interest and Conformity for Recommendation with Causal Embedding

    Yu Zheng;Chen Gao;Xiang Li;Xiangnan He

  • On the computation offloading at ad hoc cloudlet: architecture and service modes

    Min Chen;Yixue Hao;Yong Li;Chin-Feng Lai

  • Big Data Driven Mobile Traffic Understanding and Forecasting: A Time Series Approach

    Fengli Xu;Yuyun Lin;Jiaxin Huang;Di Wu

  • iDoctor: Personalized and professionalized medical recommendations based on hybrid matrix factorization

    Yin Zhang;Min Chen;Dijiang Huang;Di Wu

  • Understanding Mobile Traffic Patterns of Large Scale Cellular Towers in Urban Environment

    Fengli Xu;Yong Li;Huandong Wang;Pengyu Zhang

  • DeepSTN+: Context-Aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis

    Ziqian Lin;Jie Feng;Ziyang Lu;Yong Li

  • Social-aware D2D communications: qualitative insights and quantitative analysis

    Yong Li;Ting Wu;Pan Hui;Depeng Jin

  • Coalitional Games for Resource Allocation in the Device-to-Device Uplink Underlaying Cellular Networks

    Yong Li;Depeng Jin;Jian Yuan;Zhu Han

  • A Survey of Millimeter Wave (mmWave) Communications for 5G: Opportunities and Challenges.

    Yong Niu;Yong Li;Depeng Jin;Li Su

  • Latency Minimization for D2D-Enabled Partial Computation Offloading in Mobile Edge Computing

    Umber Saleem;Yu Liu;Sobia Jangsher;Xiaoming Tao

  • Understanding Mobile Traffic Patterns of Large Scale Cellular Towers in Urban Environment

    Huandong Wang;Fengli Xu;Yong Li;Pengyu Zhang

Frequent Co-Authors

Depeng Jin
Depeng Jin Tsinghua University
Pan Hui
Pan Hui Hong Kong University of Science and Technology
Sheng Chen
Sheng Chen University of Southampton
Min Chen
Min Chen South China University of Technology
Sasu Tarkoma
Sasu Tarkoma University of Helsinki
Xiangnan He
Xiangnan He University of Science and Technology of China
Zhaocheng Wang
Zhaocheng Wang Tsinghua University
Zhu Han
Zhu Han University of Houston
Vassilis Kostakos
Vassilis Kostakos University of Melbourne
Athanasios V. Vasilakos
Athanasios V. Vasilakos University of Agder

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