Dr. Xinran Li | Artificial Intelligence  | Editorial Board Member

Dr. Xinran Li | University of Shanghai for Science and Technology | China

Dr. Xinran Li is an active researcher specializing in multimedia information security, perceptual image hashing, information hiding, and artificial intelligence security. She has established a strong publication record with more than twenty peer-reviewed papers, including fifteen SCI-indexed works and multiple IEEE Transactions publications. Her contributions span robust perceptual hashing, encrypted-domain image hashing, steganography analysis, secure multimedia processing, and feature-fusion methods for image authentication. She has participated in several funded research projects and maintains interdisciplinary collaborations reflected through co-authored journal and conference papers. Her work has earned over forty citations, demonstrating growing global impact. She serves as a reviewer for high-quality venues and is a member of prominent professional societies, contributing to ongoing advancements in secure multimedia computing.

Profile: Orcid 

Featured Publications: 

Xinran Li, & Zichi Wang. (2024). Vaccine for digital images against steganography. Scientific Reports, 14(1), 21340.

Xinran Li, Zichi Wang, Guorui Feng, Xinpeng Zhang, & Chuan Qin. (2024). Perceptual image hashing using orthogonal moments feature fusion. IEEE Transactions on Multimedia, 26, 10041–10054.

Xinran Li, Chuan Qin, Zichi Wang, Zhenxing Qian, & Xinpeng Zhang. (2022). Unified performance evaluation method for perceptual image hashing. IEEE Transactions on Information Forensics and Security, 17, 1404–1419.

Xinran Li, Mengqi Guo, Zichi Wang, & Chuan Qin. (2024). Robust image hashing in encrypted domain. IEEE Transactions on Emerging Topics in Computational Intelligence, 8(1), 670–683.

Zichi Wang, Xinpeng Zhang, & Xinran Li. (2025). Untraceable steganography: Towards the anonymity of steganographer. IEEE Signal Processing Letters, 32, 956–960.