Qingliang Liu is currently a Distinguished Associate Professor in the School of Mathematics and Physics, Qingdao University of Science and Technology (QUST). In December 2023, I obtained my Ph.D. degree in the School of Computer Science and Engineering from Sun Yat-sen University, under the tutelage of Professor Jiangqun Ni. He mainly conducts research in machine learning and multimedia security, including digital watermarking, steganography, steganalysis, etc. He focuses on the research of efficient steganographic algorithms, efficient steganalysis algorithms, and robust steganographic algorithms on real social networks.

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📖 Educations

• February 2024 - Present,
  Qingdao University of Science and Technology, School of Mathematics and Physics, Distinguished Associate Professor.
• September 2018 - December 2023,
  Sun Yat-sen University, School of Computer Science and Engineering, Computer Science and Technology, Ph.D. student.
• September 2015 - July 2018,
  Qingdao University of Science and Technology, School of Mathematics and Physics, Statistics, M.D.
• September 2011 - July 2015,
  Qingdao University of Science and Technology, School of Mathematics and Physics, Mathematics and Applied Mathematics, B.S.

📝 Projects

• Natural Science Foundation of Shandong Province (Youth Program), 2025.01-2027.12.

📝 Publications

• Enhancing Steganographic Security via Controversial-Pixel Grading in Multi-Distortion Function Fusion,
  X. Li, Q. Liu, D. Jiang, et al. J. Inf. Secur. 2026:1-12.

• DDCM: Cracking Anonymized Facial Images Using Denoising Diffusion Cryptanalytic Model,
  D. Jiang, J. Ni^*, N. Alasbali, I. Nafea, Q. Liu, et al. IEEE Transactions on Consumer Electronics, 2025, 71(2):4464-4474.

• Model-Based Non-Independent Distortion Cost Design for Effective JPEG Steganography,
  Y. Pan, W. Su, J. Ni^*, Q. Liu, et al. ACM MM, 2024:2419-2427.

• Efficient JPEG image steganography using pairwise conditional random field model,
  Y. Pan, J. Ni^*, Q. Liu, et al. Signal Processing, 2024:109493.

• An Efficient Distortion Cost Function Design for Image Steganography in Spatial Domain Using Quaternion Representation,
  Q. Liu, W. Su, J. Ni^*, X. Hu, J. Huang. Signal Processing, 2024(219):109370.

• Robust Image Steganography against General Scaling Attacks,
  Q. Liu, J. Ni^*, X. Hu. ACM MM, 2023:8233-8241.

• An Efficient Video Watermark Method using Blockchain,
  Q. Liu, S. Yang, J. Liu, P. Xiong, J. Shen^*. Knowledge-Based Systems, 2023(259): 110066.

• Effective JPEG Steganalysis using Non-linear Pre-processing and Residual Channel-spatial Attention,
  Q. Liu, J. Ni^*, Mengxin Jian. ICME, 2022.

• The Fundus Structural and Functional Predictions of DME Patients After Anti-VEGF Treatments,
  H. Xie⁺, S. Huang⁺, Q. Liu⁺(⁺joint first author), et al. Frontiers in Endocrinology 2022(13): 865211.

• A Discrete Wavelet Transform and Singular Value Decomposition-based Digital Video Watermark Method,
  Q. Liu, S. Yang, J. Liu, P. Xiong, M. Zhou^*. Applied Mathematical Modelling, 2020(85): 273-293.

📝 PrePrints

• A Robust Image Steganographic Scheme against General Scaling Attacks,
  Q. Liu, J. Ni*, Weizhe Zhang, Xiangyang Luo, Jiwu Huang.

💬 Professional Service

• Reviewer of Conference: ACM MM
• Reviewer of Journal: Knowledge-Based Systems, Signal Processing, Signal Image and Video Processing, Journal of Engineering and Applied Science