World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
12879
World Ranking
10973
National Ranking
4562

Overview

Shucheng Yu is affiliated with Stevens Institute of Technology in the United States and has contributed extensively to research in computer science and engineering. Their work focuses primarily on artificial intelligence, electrical and electronic engineering, and information systems, as well as computer networks and communications and computer vision and pattern recognition.

The main fields of study associated with their publications include:

  • Computer Science
  • Engineering

Subfields within these areas cover:

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Information Systems
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition

Their research topics reflect a focus on security and privacy in computing environments, including:

  • Cryptography and Data Security
  • Privacy-Preserving Technologies in Data
  • Adversarial Robustness in Machine Learning
  • Advanced Neural Network Applications
  • Advanced Wireless Communication Technologies
  • Wireless Communication Security Techniques
  • IoT and Edge/Fog Computing

Frequent publication venues demonstrate an active role in peer-reviewed forums such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Vehicular Technology
  • SSRN Electronic Journal
  • IEEE Transactions on Information Forensics and Security
  • IEEE Internet of Things Journal

Some of the recent papers authored or co-authored by Shucheng Yu include:

  • "SAFELearning: Secure Aggregation in Federated Learning With Backdoor Detectability," 2023, IEEE Transactions on Information Forensics and Security
  • "Low-Latency Privacy-Preserving Outsourcing of Deep Neural Network Inference," 2020, IEEE Internet of Things Journal
  • "Indirect Revocable KP-ABE With Revocation Undoing Resistance," 2021, IEEE Transactions on Services Computing
  • "SAFELearning: Enable Backdoor Detectability In Federated Learning With Secure Aggregation," 2021, arXiv (Cornell University)
  • "Improved Secure Deep Neural Network Inference Offloading with Privacy-Preserving Scalar Product Evaluation for Edge Computing," 2022, Applied Sciences

Shucheng Yu has worked with several frequent co-authors, which include:

  • Zhuosheng Zhang
  • Moh. Khalid Hasan
  • Jiarui Li
  • Christian Makaya
  • Jiawei Yuan

Best Publications

  • Achieving Secure, Scalable, and Fine-grained Data Access Control in Cloud Computing

    Shucheng Yu;Cong Wang;Kui Ren;Wenjing Lou

  • Scalable and Secure Sharing of Personal Health Records in Cloud Computing Using Attribute-Based Encryption

    Ming Li;Shucheng Yu;Yao Zheng;Kui Ren

  • Attribute based data sharing with attribute revocation

    Shucheng Yu;Cong Wang;Kui Ren;Wenjing Lou

  • Securing Personal Health Records in Cloud Computing: Patient-Centric and Fine-Grained Data Access Control in Multi-owner Settings

    Ming Li;Shucheng Yu;Kui Ren;Wenjing Lou

  • Authorized Private Keyword Search over Encrypted Data in Cloud Computing

    Ming Li;Shucheng Yu;Ning Cao;Wenjing Lou

  • Privacy-preserving multi-keyword fuzzy search over encrypted data in the cloud

    Bing Wang;Shucheng Yu;Wenjing Lou;Y. Thomas Hou

  • Achieving usable and privacy-assured similarity search over outsourced cloud data

    Cong Wang;Kui Ren;Shucheng Yu;Karthik Mahendra Raje Urs

  • Protecting Your Right: Verifiable Attribute-Based Keyword Search with Fine-Grained Owner-Enforced Search Authorization in the Cloud

    Wenhai Sun;Shucheng Yu;Wenjing Lou;Y. Thomas Hou

  • FindU: Privacy-preserving personal profile matching in mobile social networks

    Ming Li;Ning Cao;Shucheng Yu;Wenjing Lou

  • Privacy Preserving Back-Propagation Neural Network Learning Made Practical with Cloud Computing

    Jiawei Yuan;Shucheng Yu

  • Protecting your right: Attribute-based keyword search with fine-grained owner-enforced search authorization in the cloud

    Wenhai Sun;Shucheng Yu;Wenjing Lou;Y. Thomas Hou

  • LT codes-based secure and reliable cloud storage service

    Ning Cao;Shucheng Yu;Zhenyu Yang;Wenjing Lou

  • FDAC: Toward Fine-Grained Distributed Data Access Control in Wireless Sensor Networks

    Shucheng Yu;Kui Ren;Wenjing Lou

  • Multi-User Broadcast Authentication in Wireless Sensor Networks

    Kui Ren;Shucheng Yu;Wenjing Lou;Yanchao Zhang

  • Dependable and Secure Sensor Data Storage with Dynamic Integrity Assurance

    Qian Wang;Kui Ren;Shucheng Yu;Wenjing Lou

  • Secure and Constant Cost Public Cloud Storage Auditing with Deduplication.

    Jiawei Yuan;Shucheng Yu

  • BANA: Body Area Network Authentication Exploiting Channel Characteristics

    Lu Shi;Ming Li;Shucheng Yu;Jiawei Yuan

  • Proofs of retrievability with public verifiability and constant communication cost in cloud

    Jiawei Yuan;Shucheng Yu

  • BANA: body area network authentication exploiting channel characteristics

    Lu Shi;Ming Li;Shucheng Yu;Jiawei Yuan

  • $P^{2}$ : Privacy-Preserving Communication and Precise Reward Architecture for V2G Networks in Smart Grid

    Zhenyu Yang;Shucheng Yu;Wenjing Lou;Cong Liu

  • Securing Personal Health Records in Cloud Computing: Patient-Centric and Fine-Grained Data Access Control in Multi-owner Settings

    Ming Li;Shucheng Yu;Kui Ren;Wenjing Lou

Frequent Co-Authors

Wenjing Lou
Wenjing Lou Virginia Tech
Kui Ren
Kui Ren Zhejiang University
Y. Thomas Hou
Y. Thomas Hou Virginia Tech
Cong Wang
Cong Wang City University of Hong Kong
Yanchao Zhang
Yanchao Zhang Arizona State University
Jin Li
Jin Li Chinese Academy of Sciences
Kai Zeng
Kai Zeng George Mason University
Houbing Song
Houbing Song University of Maryland, Baltimore County
Jiantao Zhou
Jiantao Zhou University of Macau
Joshua D. Guttman
Joshua D. Guttman Worcester Polytechnic Institute

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

Considering an online Computer Science degree in the USA? There are many flexible study options, even for those with challenging academic backgrounds. If you’re concerned about your GPA, explore the best colleges for low gpa to find accessible pathways and open doors to higher education.

Time is also a valuable factor when planning your studies. For students who want to fast-track their education, an accelerated computer science degree can help you graduate sooner and quickly transition to the workforce.

Are you interested in interdisciplinary fields? An Environmental Science background offers a wide range of opportunities outside traditional tech, too—discover what can i do with an environmental science degree for ideas in both technical and non-technical roles.

For those focused on minimizing costs, check out the cheapest online environmental science degree programs. These affordable online options can help you earn a respected qualification while managing your budget.

Best Scientists Citing Shucheng Yu

Trending Scientists