Shang Ci

Shang Ci

Lecturer

Huaiyin Normal University, China

Research Interests

Homomorphic Encryption
Matrix Computation
Machine Learning

About

I am currently a Lecturer with the School of Computer Science and Cyberspace Security at Huaiyin Normal University. I received the Ph.D. degree at Nanjing University of Aeronautics and Astronautics (NUAA) in 2026 under the supervision of Prof. Çetin Kaya Koç.

My research interests mainly focus on homomorphic encryption, matrix computation, and machine learning.

Selected Publications

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New algorithms for fully homomorphic matrix addition and multiplication

Shang Ci, Yihan Wang, Sen Hu, Donghai Guan, Çetin Kaya Koç†

The Journal of Supercomputing

Optimized BFV-based fully homomorphic algorithms for packed matrix operations are proposed, improving efficiency over prior algorithms.

Privacy-preserving word vectors learning using partially homomorphic encryption

Shang Ci, Sen Hu, Donghai Guan, Çetin Kaya Koç†

Journal of Information Security and Applications

A privacy-preserving scheme is proposed for training GloVe word vectors on encrypted data, enabling secure and efficient cloud-based learning without compromising user privacy.

SOCT: Secure Outsourcing Computation Toolkit Using Threshold ElGamal Algorithm

Sen Hu, Shang Ci, Donghai Guan, Çetin Kaya Koç†

IEEE Transactions on Cloud Computing

A secure outsourcing computation framework (SOCT) is proposed based on threshold ElGamal homomorphic encryption, enabling efficient and privacy-preserving cloud computations with strong security guarantees.

News

2026-10

Received my Ph.D. degree at NUAA 🎉

2025-11

One paper has been accepted by JSC!

2025-04

One paper has been accepted by TCC!

2025-02

One paper has been accepted by JISA!