World's Best Scientists 2026 revealed!

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Computer Science

D-Index
53
Citations
18083
World Ranking
4700
National Ranking
2182

Research.com Recognitions

  • 2019 - ACM Distinguished Member

Overview

Li Xiong is affiliated with Emory University in the United States and has contributed extensively to the field of Computer Science, with a particular focus on Artificial Intelligence, Computer Vision and Pattern Recognition, and Electrical and Electronic Engineering. Their published works span subfields including Computer Science Applications and Transportation.

Their research interests concentrate primarily on Privacy-Preserving Technologies in Data, Adversarial Robustness in Machine Learning, Mobile Crowdsensing and Crowdsourcing, Human Mobility and Location-Based Analysis, Advanced Neural Network Applications, Cryptography and Data Security, and broader concerns in Privacy, Security, and Data Protection.

Li Xiong's recent scholarly output includes papers such as:

  • Advances and Open Problems in Federated Learning (2020), published in Foundations and Trends® in Machine Learning
  • Fractional-order double-ring erbium-doped fiber laser chaotic system and its application on image encryption (2021), published in Optics & Laser Technology
  • Dealer (2021), published in Proceedings of the VLDB Endowment
  • Mixed gray-color images encryption algorithm based on a memristor chaotic system and 2D compression sensing (2023), published in Expert Systems with Applications
  • Generating sequential electronic health records using dual adversarial autoencoder (2020), published in Journal of the American Medical Informatics Association

They have collaborated frequently with researchers including Jian Lou, Jinfei Liu, Yang Cao, Qiuchen Zhang, and Cyrus Shahabi. These coauthorships demonstrate active engagement with peers in exploring various dimensions of computer science and related technologies.

Li Xiong's publications appear most frequently in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the VLDB Endowment
  • SSRN Electronic Journal
  • Proceedings of the ACM on Management of Data
  • SIGSPATIAL Special

In 2019, Li Xiong received the ACM Distinguished Member award, recognizing their professional contributions within the computing community.

Best Publications

  • Advances and Open Problems in Federated Learning

    Peter Kairouz;H. Brendan McMahan;Brendan Avent;Aurélien Bellet

  • PeerTrust: supporting reputation-based trust for peer-to-peer electronic communities

    Li Xiong;Ling Liu

  • Advances and open problems in federated learning

    Peter Kairouz;H. Brendan McMahan;Brendan Avent;Aurélien Bellet

  • REACT: real-time contact tracing and risk monitoring using privacy-enhanced mobile tracking

    Li Xiong;Cyrus Shahabi;Yanan Da;Ritesh Ahuja

  • A reputation-based trust model for peer-to-peer e-commerce communities

    Li Xiong;Ling Liu

  • A reputation-based trust model for peer-to-peer ecommerce communities.

    Li Xiong;Ling Liu

  • TrustGuard: countering vulnerabilities in reputation management for decentralized overlay networks

    Mudhakar Srivatsa;Li Xiong;Ling Liu

  • Protecting Locations with Differential Privacy under Temporal Correlations

    Yonghui Xiao;Li Xiong

  • Publishing set-valued data via differential privacy

    Rui Chen;Noman Mohammed;Benjamin C. M. Fung;Bipin C. Desai

  • Aesthetic-based Clothing Recommendation

    Wenhui Yu;Huidi Zhang;Xiangnan He;Xu Chen

  • Differentially private data release through multidimensional partitioning

    Yonghui Xiao;Li Xiong;Chun Yuan

  • A reputation-based trust model for peer-to-peer ecommerce communities [Extended Abstract]

    Li Xiong;Ling Liu

  • Spatial Task Assignment for Crowd Sensing with Cloaked Locations

    Layla Pournajaf;Li Xiong;Vaidy Sunderam;Slawomir Goryczka

  • An Adaptive Approach to Real-Time Aggregate Monitoring With Differential Privacy

    Liyue Fan;Li Xiong

  • A Comprehensive Comparison of Multiparty Secure Additions with Differential Privacy

    Slawomir Goryczka;Li Xiong

  • Quantifying Differential Privacy in Continuous Data Release Under Temporal Correlations

    Yang Cao;Masatoshi Yoshikawa;Yonghui Xiao;Li Xiong

  • WebDISCO: A web service for distributed cox model learning without patient-level data sharing

    Chia-Lun Lu;Shuang Wang;Zhanglong Ji;Yuan Wu

  • Distributed Anonymization: Achieving Privacy for Both Data Subjects and Data Providers

    Pawel Jurczyk;Li Xiong

  • Participant Privacy in Mobile Crowd Sensing Task Management: A Survey of Methods and Challenges

    Layla Pournajaf;Daniel A. Garcia-Ulloa;Li Xiong;Vaidy Sunderam

  • Quantifying Differential Privacy under Temporal Correlations

    Yang Cao;Masatoshi Yoshikawa;Yonghui Xiao;Li Xiong

  • Differentially Private Distributed Online Learning

    Chencheng Li;Pan Zhou;Li Xiong;Qian Wang

  • Dynamic Differential Privacy for Location based Applications.

    Yonghui Xiao;Li Xiong

Frequent Co-Authors

Vaidy S. Sunderam
Vaidy S. Sunderam Emory University
Xiaoqian Jiang
Xiaoqian Jiang The University of Texas Health Science Center at Houston
Jian Pei
Jian Pei Duke University
Ling Liu
Ling Liu Georgia Institute of Technology
Cyrus Shahabi
Cyrus Shahabi University of Southern California
Lucila Ohno-Machado
Lucila Ohno-Machado University of California, San Diego
Benjamin C. M. Fung
Benjamin C. M. Fung McGill University
Le Song
Le Song Mohamed bin Zayed University of Artificial Intelligence
Xiangnan He
Xiangnan He University of Science and Technology of China
Shi-Yong Sun
Shi-Yong Sun Emory University

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