Motion compensation as sparsity-aware decoding in compressive video streaming. - Ying Liu 022; Ming Li 011; Kanke Gao; Dimitris A. Pados (DSP, 2011)

Decoding of framewise compressed-sensed video via interframe total variation minimization. - Ying Liu 022; Dimitris A. Pados (J. Electronic Imaging, 2013)

Motion-Aware Decoding of Compressed-Sensed Video. - Ying Liu 022; Ming Li 011; Dimitrios A. Pados (IEEE Trans. Circuits Syst. Video Technol., 2013)

Quad-tree partitioned compressed sensing for depth map coding. - Ying Liu 022; Krishna Rao Vijayanagar; Joohee Kim (ICASSP, 2014)

Adaptive measurement rate allocation for block-based compressed sensing of depth maps. - Krishna Rao Vijayanagar; Ying Liu 022; Joohee Kim (ICIP, 2014)

Disparity-compensated total-variation minimization for compressed-sensed multiview image reconstruction. - Ying Liu 022; Chen Zhang; Joohee Kim (ICASSP, 2015)

Two-Stage Tensor Locality-Preserving Projection Face Recognition. - Ying Liu 022; Dimitris A. Pados; Chia-Hung Yeh (BigMM, 2016)

Cloud-assisted individual l1-pca face recognition using wavelet-domain compressed images. - Federica Maritato; Ying Liu 022; Stefania Colonnese; Dimitris A. Pados (EUVIP, 2016)

Joint-view Kalman-filter recovery of compressed-sensed multiview videos. - Ying Liu 022; Shubham Chamadia; Dimitris A. Pados (ICASSP, 2016)

Compressed-Sensed-Domain L1-PCA Video Surveillance. - Ying Liu 022; Dimitris A. Pados (IEEE Trans. Multim., 2016)

Iterative re-weighted L1-norm principal-component analysis. - Ying Liu 022; Dimitris A. Pados; Stella N. Batalama; Michael J. Medley (ACSSC, 2017)

Reconstruction of Compressed-Sensed Multiview Video With Disparity- and Motion-Compensated Total Variation Minimization. - Ying Liu 022; Dimitris A. Pados; Joohee Kim; Chen Zhang (IEEE Trans. Circuits Syst. Video Technol., 2018)

Deep Learning for Block-Level Compressive Video Sensing. - Yifei Pei; Ying Liu 022; Nam Ling (ISCAS, 2020)

Variable block-size compressed sensing for depth map coding. - Ying Liu 022; Joohee Kim (Multim. Tools Appl., 2020)

L1-Subspace Tracking for Streaming Data. - Ying Liu 022; Konstantinos Tountas; Dimitris A. Pados; Stella N. Batalama; Michael J. Medley (Pattern Recognit., 2020)

Sparse Coding of Intra Prediction Residuals for Screen Content Coding. - Michael G. Schimpf; Nam Ling; Yunhui Shi; Ying Liu 022 (ICCE, 2021)

Class-Specific Neural Network for Video Compressed Sensing. - Yifei Pei; Ying Liu 022; Nam Ling; Lingzhi Liu; Yongxiong Ren (ISCAS, 2021)

F3DsCNN: A Fast Two-Branch 3D Separable CNN for Moving Object Detection. - Bingxin Hou; Ying Liu 022; Nam Ling; Lingzhi Liu; Yongxiong Ren; Ming Kai Hsu (VCIP, 2021)

A Fast Lightweight 3D Separable Convolutional Neural Network With Multi-Input Multi-Output for Moving Object Detection. - Bingxin Hou; Ying Liu 022; Nam Ling; Lingzhi Liu; Yongxiong Ren (IEEE Access, 2021)

A Lightweight Model with Separable CNN and LSTM for Video Prediction. - Mareeta Mathai; Ying Liu 022; Nam Ling (ISCAS, 2022)

Generative Video Compression with a Transformer-Based Discriminator. - Pengli Du; Ying Liu 022; Nam Ling; Yongxiong Ren; Lingzhi Liu (PCS, 2022)

Side Information Driven Image Coding for Machines. - Zhongpeng Zhang; Ying Liu 022 (PCS, 2022)

An End-to-End Deep Generative Network for Low Bitrate Image Coding. - Yifei Pei; Ying Liu 022; Nam Ling; Yongxiong Ren; Lingzhi Liu (ISCAS, 2023)

Compressing of Medium- to Low-Rate Transform Residuals With Semi-Extreme Sparse Coding as an Alternate Transform in Video Coding. - Michael G. Schimpf; Nam Ling; Ying Liu 022 (IEEE Trans. Consumer Electron., 2023)

A Hybrid Transformer-LSTM Model With 3D Separable Convolution for Video Prediction. - Mareeta Mathai; Ying Liu 022; Nam Ling (IEEE Access, 2024)

CGVC-T: Contextual Generative Video Compression With Transformers. - Pengli Du; Ying Liu 022; Nam Ling (IEEE J. Emerg. Sel. Topics Circuits Syst., 2024)

Blur CLIP Context Model-Based Image Coding for Machines Framework With Down and Up Sample Pairs for Multitasks. - Zhongpeng Zhang; Ying Liu 022 (IEEE Access, 2025)