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.

📝 Publications

• Efficient JPEG image steganography using pairwise conditional random field model,
  Yuanfeng Pan, Jiangqun Ni^*, Qingliang Liu, Wenkang Su, Jiwu Huang. Signal Processing, 2024:109493.

• An Efficient Distortion Cost Function Design for Image Steganography in Spatial Domain Using Quaternion Representation,
  Qingliang Liu, Wenkang Su, Jiangqun Ni^*, Xianglei Hu, Jiwu Huang. Signal Processing, 2024(219):109370.

• Robust Image Steganography against General Scaling Attacks,
  Qingliang Liu, Jiangqun Ni^*, Xianglei Hu. ACM MM, 2023:8233-8241.

• An Efficient Video Watermark Method using Blockchain,
  Qingliang Liu, Shuguo Yang, Jing Liu, Pengcheng Xiong, Jun Shen^*. Knowledge-Based Systems, 2023(259): 110066.

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

• The Fundus Structural and Functional Predictions of DME Patients After Anti-VEGF Treatments,
  Hang Xie⁺, Shihao Huang⁺, Qingliang Liu⁺(⁺joint first author), Yifan Xiang, Fabao Xu, Xiaoyan Li, Chun-Hung Chiu^*. Frontiers in Endocrinology 2022(13): 865211.

• A Discrete Wavelet Transform and Singular Value Decomposition-based Digital Video Watermark Method,
  Qingliang Liu, Shuguo Yang, Jing Liu, Pengcheng Xiong, Mengchu Zhou^*. Applied Mathematical Modelling, 2020(85): 273-293.

📝 PrePrints

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

💬 Professional Service

• Reviewer of Conference: ACM MM 2023/2024
• Reviewer of Journal: Knowledge-Based Systems, Signal Image and Video Processing, Journal of Engineering and Applied Science