World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
74
Citations
30102
World Ranking
1461
National Ranking
198

Overview

Kai Zheng is affiliated with the University of Electronic Science and Technology of China. Their research spans multiple fields within computer science and engineering, with a focus on topics related to data management, artificial intelligence, and network communications.

Their research contributions cover several main fields of study:

  • Computer Science
  • Engineering

Within these broader areas, their work addresses specific subfields including:

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

Key research topics covered in their publications include:

  • Recommender Systems and Techniques
  • Human Mobility and Location-Based Analysis
  • Mobile Crowdsensing and Crowdsourcing
  • Advanced Graph Neural Networks
  • Caching and Content Delivery
  • Data Management and Algorithms
  • Traffic Prediction and Management Techniques

Kai Zheng has coauthored extensively with several frequent collaborators, including:

  • Yan Zhao
  • Hongzhi Yin
  • Xiaofang Zhou
  • Christian S. Jensen
  • Bin Yang

Their work has been published in a variety of venues, with frequent publications in:

  • arXiv (Cornell University)
  • IEEE Transactions on Knowledge and Data Engineering
  • Proceedings of the 31st ACM International Conference on Information & Knowledge Management
  • World Wide Web
  • Proceedings of the VLDB Endowment

Notable recent publications by Kai Zheng include:

  • "When large language models meet personalization: perspectives of challenges and opportunities" (2024), published in World Wide Web
  • "WizardLM: Empowering large pre-trained language models to follow complex instructions" (2023), published in arXiv (Cornell University)
  • "Hierarchical Hyperedge Embedding-Based Representation Learning for Group Recommendation" (2021), published in ACM Transactions on Information Systems
  • "ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences" (2022), published in ACM Transactions on Information Systems
  • "Overcoming Data Sparsity in Group Recommendation" (2020), published in IEEE Transactions on Knowledge and Data Engineering

Across these publications, the citations reflect engagement within the academic community, with some works receiving close to or over one hundred citations.

Best Publications

  • Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)

    Daniel J. Klionsky;Amal Kamal Abdel-Aziz;Sara Abdelfatah;Mahmoud Abdellatif

  • Barriers to and Facilitators of User Engagement With Digital Mental Health Interventions: Systematic Review

    Judith Borghouts;Elizabeth Eikey;Gloria Mark;Cinthia De Leon

  • Supporting information retrieval from electronic health records

    David A. Hanauer;Qiaozhu Mei;James Law;Ritu Khanna

  • Discovering Urban Functional ZonesUsing Latent Activity Trajectories

    Nicholas Jing Yuan;Yu Zheng;Xing Xie;Yingzi Wang

  • Public Awareness, Perception, and Use of Online Physician Rating Sites

    David A. Hanauer;Kai Zheng;Dianne C. Singer;Achamyeleh Gebremariam

  • Online Discovery of Gathering Patterns over Trajectories

    Kai Zheng;Yu Zheng;Nicholas Jing Yuan;Shuo Shang

  • Home-based technologies for stroke rehabilitation: A systematic review.

    Yu Chen;Kingsley Travis Abel;John T. Janecek;Yunan Chen

  • Reducing Uncertainty of Low-Sampling-Rate Trajectories

    Kai Zheng;Yu Zheng;Xing Xie;Xiaofang Zhou

  • On discovery of gathering patterns from trajectories

    Kai Zheng;Yu Zheng;N. J. Yuan;Shuo Shang

  • Adapting to User Interest Drift for POI Recommendation

    Hongzhi Yin;Xiaofang Zhou;Bin Cui;Hao Wang

  • LC-RNN: A deep learning model for traffic speed prediction

    Zhongjian Lv;Jiajie Xu;Jiajie Xu;Kai Zheng;Hongzhi Yin

  • Multi-modal Knowledge Graphs for Recommender Systems

    Rui Sun;Xuezhi Cao;Yan Zhao;Junchen Wan

  • Using the time and motion method to study clinical work processes and workflow: methodological inconsistencies and a call for standardized research

    Kai Zheng;Michael H Guo;David A Hanauer

  • Origin-Destination Matrix Prediction via Graph Convolution: a New Perspective of Passenger Demand Modeling

    Yuandong Wang;Hongzhi Yin;Hongxu Chen;Tianyu Wo

  • GreenDCN: A General Framework for Achieving Energy Efficiency in Data Center Networks

    Lin Wang;Fa Zhang;Jordi Arjona Aroca;Athanasios V. Vasilakos

  • Towards efficient search for activity trajectories

    Kai Zheng;Shuo Shang;N. J. Yuan;Yi Yang

  • Quantifying the impact of health IT implementations on clinical workflow: a new methodological perspective

    Kai Zheng;Hilary M Haftel;Ronald B Hirschl;Michael O'Reilly

  • Social Influence-Based Group Representation Learning for Group Recommendation

    Hongzhi Yin;Qinyong Wang;Kai Zheng;Zhixu Li

  • User oriented trajectory search for trip recommendation

    Shuo Shang;Ruogu Ding;Bo Yuan;Kexin Xie

  • Short text understanding through lexical-semantic analysis

    Wen Hua;Zhongyuan Wang;Haixun Wang;Kai Zheng

  • A survey of trajectory distance measures and performance evaluation

    Han Su;Shuncheng Liu;Bolong Zheng;Xiaofang Zhou;Xiaofang Zhou

  • Understanding technology adoption in clinical care: Clinician adoption behavior of a point-of-care reminder system

    Kai Zheng;Rema Padman;Michael P. Johnson;Herbert S. Diamond

Frequent Co-Authors

Xiaofang Zhou
Xiaofang Zhou Hong Kong University of Science and Technology
Aldo R. Boccaccini
Aldo R. Boccaccini University of Erlangen-Nuremberg
Guanfeng Liu
Guanfeng Liu Macquarie University
An Liu
An Liu Soochow University
Qiaozhu Mei
Qiaozhu Mei University of Michigan–Ann Arbor
Michael P. Johnson
Michael P. Johnson Pennsylvania State University
Hongzhi Yin
Hongzhi Yin University of Queensland
Defu Lian
Defu Lian University of Science and Technology of China
Shazia Sadiq
Shazia Sadiq University of Queensland
Nicholas Jing Yuan
Nicholas Jing Yuan Microsoft (United States)

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 online degrees in Computer Science opens up flexible study options for a wide range of learners. Today, even students with academic challenges can find a college that accepts low gpa, making higher education in tech more accessible than ever.

Many universities offer an online computer science degree to help students fast-track their learning. These programs often include foundational courses, hands-on projects, and internships, ensuring graduates are ready for real-world tech roles.

If you're considering expanding your career options, look into interdisciplinary areas. For instance, those interested in sustainability could pursue an environmental engineering bachelor's degree online. This pathway blends tech knowledge with environmental problem-solving.

Not sure which direction to take? Understanding what jobs can you get with an environmental science degree can also inform your choices, as the overlap between tech and environmental careers continues to expand.

Best Scientists Citing Kai Zheng

Trending Scientists

Recently Published Articles