Kinematic design of crab-like legged vehicles. - Anmin Liu; David Howard (Robotica, 2001)

Lossless video compression with optimal compression plane determination. - Anmin Liu; Weisi Lin; Fan Zhang 093 (ICME, 2009)

Perception Based Down Sampling for Low Bit Rate Image Coding. - Anmin Liu; Weisi Lin (PCM, 2009)

Enhanced Just Noticeable Difference (JND) estimation with image decomposition. - Anmin Liu; Weisi Lin; Fan Zhang 093; Manoranjan Paul (ICIP, 2010)

Optimal compression plane (OCP) - A new framework for H.264 video coding. - Anmin Liu; Weisi Lin; Manoranjan Paul; Chenwei Deng (ICME, 2010)

Just Noticeable Difference for Images With Decomposition Model for Separating Edge and Textured Regions. - Anmin Liu; Weisi Lin; Manoranjan Paul; Chenwei Deng; Fan Zhang 093 (IEEE Trans. Circuits Syst. Video Technol., 2010)

Optimal Compression Plane for Efficient Video Coding. - Anmin Liu; Weisi Lin; Manoranjan Paul; Fan Zhang 093; Chenwei Deng (IEEE Trans. Image Process., 2011)

Visual signal coding and quality evaluation - Anmin Liu (2011)

Image Quality Assessment Based on Gradient Similarity. - Anmin Liu; Weisi Lin; Manish Narwaria (IEEE Trans. Image Process., 2012)

Low-Complexity Video Quality Assessment Using Temporal Quality Variations. - Manish Narwaria; Weisi Lin; Anmin Liu (IEEE Trans. Multim., 2012)

Perceptual Quality Metric With Internal Generative Mechanism. - Jinjian Wu; Weisi Lin; Guangming Shi; Anmin Liu (IEEE Trans. Image Process., 2013)

Reduced-Reference Image Quality Assessment With Visual Information Fidelity. - Jinjian Wu; Weisi Lin; Guangming Shi; Anmin Liu (IEEE Trans. Multim., 2013)

Just Noticeable Difference Estimation for Images With Free-Energy Principle. - Jinjian Wu; Guangming Shi; Weisi Lin; Anmin Liu; Fei Qi 001 (IEEE Trans. Multim., 2013)

Image retargeting quality assessment based on support vector regression. - Anmin Liu; Weisi Lin; Hai Chen; Philipp Zhang (Signal Process. Image Commun., 2015)

Diagnosis and classification prediction model of pituitary tumor based on machine learning. - Anmin Liu; Yan Xiao; Min Wu; Yuzhen Tan; Yujie He; Yang Deng; Liang Tang (Neural Comput. Appl., 2022)

Sampling-based Fast Gradient Rescaling Method for Highly Transferable Adversarial Attacks. - Xu Han; Anmin Liu; Chenxuan Yao; Yanbo Fan; Kun He 001 (CoRR, 2023)

Safety and Performance, Why Not Both? Bi-Objective Optimized Model Compression Against Heterogeneous Attacks Toward AI Software Deployment. - Jie Zhu; Leye Wang; Xiao Han 001; Anmin Liu; Tao Xie 001 (IEEE Trans. Software Eng., 2024)